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description Publicationkeyboard_double_arrow_right Article , Journal 2016 ItalyPublisher:Elsevier BV Gabriele Comodi; Kevin Aditya; Alessandro Romagnoli; Markus Kraft; Markus Kraft; Fabio Dal Magro; Antonella Meneghetti; Chuan Zhang; Sushant S. Garud; Pulkit Chhabra; Li Zhou;handle: 11390/1098435
Abstract Based on share of energy, materials, resources and information, Eco Industrial Park (EIP) has become a popular form of industry cluster. Waste Heat Recovery (WHR) in EIP can significantly increase the total energy efficiency of the whole park, meanwhile reducing its greenhouse gas emission. The current paper proposes a methodology to assess the opportunities of WHR in EIP at park level. Four different steps are included in this methodology. The first step is identification of waste heat source plants and sink plants in EIP; the second step is the establishment of the waste heat transportation system; the third step is a Single-Objective Optimization Problem (SOOP); the fourth step is Multi-Objective Optimization Problem (MOOP). An EIP on Jurong Island Singapore comprising of five plants and two communities is used as a case study to demonstrate the capability of this methodology. Two different operation modes for the EIP are considered: with continuous waste heat and with discontinuous waste heat over time. The first scenario shows that SOOP and MOOP will deliver different WHR networks; the second scenario shows that waste heat discontinuity has great influence on the optimization of the WHR network.
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2016.10.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu48 citations 48 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2016.10.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2016 ItalyPublisher:Elsevier BV Gabriele Comodi; Kevin Aditya; Alessandro Romagnoli; Markus Kraft; Markus Kraft; Fabio Dal Magro; Antonella Meneghetti; Chuan Zhang; Sushant S. Garud; Pulkit Chhabra; Li Zhou;handle: 11390/1098435
Abstract Based on share of energy, materials, resources and information, Eco Industrial Park (EIP) has become a popular form of industry cluster. Waste Heat Recovery (WHR) in EIP can significantly increase the total energy efficiency of the whole park, meanwhile reducing its greenhouse gas emission. The current paper proposes a methodology to assess the opportunities of WHR in EIP at park level. Four different steps are included in this methodology. The first step is identification of waste heat source plants and sink plants in EIP; the second step is the establishment of the waste heat transportation system; the third step is a Single-Objective Optimization Problem (SOOP); the fourth step is Multi-Objective Optimization Problem (MOOP). An EIP on Jurong Island Singapore comprising of five plants and two communities is used as a case study to demonstrate the capability of this methodology. Two different operation modes for the EIP are considered: with continuous waste heat and with discontinuous waste heat over time. The first scenario shows that SOOP and MOOP will deliver different WHR networks; the second scenario shows that waste heat discontinuity has great influence on the optimization of the WHR network.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2016.10.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu48 citations 48 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2016.10.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021Publisher:Elsevier BV Samuele Spedaletti; Mosè Rossi; Gabriele Comodi; Danilo Salvi; Massimiliano Renzi;Abstract Energy recovery solutions reduce considerably the carbon footprint of Water Supply Systems (WSSs), which accounts for a large share of the energy demand in urban areas. The evaluation of the potential saving requires the availability of water flow rate and net head values in WSSs pipelines; however, this task is not always achievable since flow meters are costly and not installed in all the pipelines. In this paper, a novel methodology to predict the yearly average flow rate in gravity adduction pipelines is presented and validated using measured data coming from a WSS in Italy. A methodology already developed by some of the authors of this work was used to select Pump-as-Turbines (PaTs) and evaluate their Best Efficiency Point (BEP) to maximize the energy recovery. Two different installation layouts were investigated, namely one PaT and two PaTs in parallel, to be installed in the selected branches. The first one showed the best economic profitability, leading to a saving of 1325 €/year and a PayBack Period (PBP) of 11 years. The branch with the highest energy recovery potential led to a saving of 4915 €/year and a PBP of 6 years. Energy Efficiency Certificates (ECCs) were considered, highlighting their pivotal role to lower PBPs.
Sustainable Energy T... arrow_drop_down Sustainable Energy Technologies and AssessmentsArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.seta.2021.101040&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Sustainable Energy T... arrow_drop_down Sustainable Energy Technologies and AssessmentsArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.seta.2021.101040&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021Publisher:Elsevier BV Samuele Spedaletti; Mosè Rossi; Gabriele Comodi; Danilo Salvi; Massimiliano Renzi;Abstract Energy recovery solutions reduce considerably the carbon footprint of Water Supply Systems (WSSs), which accounts for a large share of the energy demand in urban areas. The evaluation of the potential saving requires the availability of water flow rate and net head values in WSSs pipelines; however, this task is not always achievable since flow meters are costly and not installed in all the pipelines. In this paper, a novel methodology to predict the yearly average flow rate in gravity adduction pipelines is presented and validated using measured data coming from a WSS in Italy. A methodology already developed by some of the authors of this work was used to select Pump-as-Turbines (PaTs) and evaluate their Best Efficiency Point (BEP) to maximize the energy recovery. Two different installation layouts were investigated, namely one PaT and two PaTs in parallel, to be installed in the selected branches. The first one showed the best economic profitability, leading to a saving of 1325 €/year and a PayBack Period (PBP) of 11 years. The branch with the highest energy recovery potential led to a saving of 4915 €/year and a PBP of 6 years. Energy Efficiency Certificates (ECCs) were considered, highlighting their pivotal role to lower PBPs.
Sustainable Energy T... arrow_drop_down Sustainable Energy Technologies and AssessmentsArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.seta.2021.101040&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Sustainable Energy T... arrow_drop_down Sustainable Energy Technologies and AssessmentsArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.seta.2021.101040&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Conference object 2017 ItalyPublisher:Elsevier BV Alessandro Fonti; Gabriele Comodi; Stefano Pizzuti; Alessia Arteconi; Lieve Helsen;handle: 20.500.12079/5983
Abstract Low order grey-box models are suitable to be used in predictive controls. In real buildings in which the measured quantities are few the reliability of these models is crucial for the control performance. In this paper an identification procedure is analyzed to investigate the accuracy of different order grey-box models for short-term thermal behavior prediction in a real building, part of a living smart district. The building has a low number of zones and a single indoor temperature measuring point. The models are identified on the data acquired in 31 days during the winter 2015. The second order model shows the best performance with a root-mean-square error (RMSE) less than 0.5°C for a prediction horizon of 1-hour and a RMSE less than 1 °C for a prediction horizon of 3-hours.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egypro.2017.03.592&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 28 citations 28 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 2visibility views 2 download downloads 1 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egypro.2017.03.592&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Conference object 2017 ItalyPublisher:Elsevier BV Alessandro Fonti; Gabriele Comodi; Stefano Pizzuti; Alessia Arteconi; Lieve Helsen;handle: 20.500.12079/5983
Abstract Low order grey-box models are suitable to be used in predictive controls. In real buildings in which the measured quantities are few the reliability of these models is crucial for the control performance. In this paper an identification procedure is analyzed to investigate the accuracy of different order grey-box models for short-term thermal behavior prediction in a real building, part of a living smart district. The building has a low number of zones and a single indoor temperature measuring point. The models are identified on the data acquired in 31 days during the winter 2015. The second order model shows the best performance with a root-mean-square error (RMSE) less than 0.5°C for a prediction horizon of 1-hour and a RMSE less than 1 °C for a prediction horizon of 3-hours.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egypro.2017.03.592&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 28 citations 28 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 2visibility views 2 download downloads 1 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egypro.2017.03.592&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021 ItalyPublisher:Elsevier BV Funded by:MIURMIURAuthors: Lidiane La Picirelli de Souza; Sara Rajabi Hamedani; Electo Eduardo Silva Lora; José Carlos Escobar Palácio; +3 AuthorsLidiane La Picirelli de Souza; Sara Rajabi Hamedani; Electo Eduardo Silva Lora; José Carlos Escobar Palácio; Gabriele Comodi; Milena Villarini; Andrea Colantoni;handle: 2067/43712
La bioéconomie, en tant que pilier stratégique clé de l'innovation, soutient la transition énergétique et implique l'évaluation des ressources en biomasse et son application. La biomasse a un énorme potentiel pour répondre à la demande intérieure d'énergie au Brésil. Par conséquent, cette étude vise à quantifier le potentiel théorique, technique et technico-économique des résidus agricoles et forestiers pour produire de l'électricité via des processus thermochimiques au Brésil pour la période 2018–2050. L'analyse a été réalisée via une approche intégrée, selon les rapports statistiques et les données de la littérature. Les technologies de conversion pour l'estimation du potentiel technique comprennent le cycle de rankine organique, la combustion avec cycle de rankine conventionnel et la gazéification avec un moteur à combustion interne. Les résultats ont montré que le potentiel théorique du Brésil est de 7 185,39 PJ et 16 708,12 PJ en 2018 et 2050. Le potentiel technique en 2018 est de 1795,16 PJ, générant 71 236,47 MWe, tandis que le potentiel en 2050 est projeté à 5771,49,4 PJ fournissant 229 027,31 MWe. Les principales restrictions sont la distribution dispersée de la biomasse sur une grande surface, les coûts d'approvisionnement et les faibles rendements pour la conversion de l'énergie. Par conséquent, le potentiel technico-économique est d'environ 19 704,01 MWe et 63 348,95 MWe pour 2018 et 2050. La région du nord a le potentiel de production d'électricité le plus faible, tandis que la région du sud-est occupe une position de premier plan pour produire de l'électricité principalement à partir de résidus de canne à sucre. Les coûts nivelés des valeurs de l'électricité ont varié de 10,532 à 15,507 US$ / MWh pour 2018 et de 7,320 à 13,002 US$ / MWh pour 2050, ce qui a été fortement influencé par le prix de la biomasse. Les résultats de cette étude peuvent soutenir l'élaboration de politiques en vue de la planification future de la bioénergie brésilienne. La bioeconomía, como pilar estratégico clave de la innovación, apoya la transición energética e implica la evaluación de los recursos de biomasa y su aplicación. La biomasa tiene un enorme potencial para satisfacer la demanda interna de energía en Brasil. Por lo tanto, este estudio tiene como objetivo cuantificar el potencial teórico, técnico y tecnoeconómico de los residuos agrícolas y forestales para generar electricidad a través de procesos termoquímicos en Brasil para el período 2018–2050. El análisis se llevó a cabo a través de un enfoque integrado, de acuerdo con los informes estadísticos y los datos de la literatura. Las tecnologías de conversión para la estimación del potencial técnico consisten en ciclo de Rankine orgánico, combustión con ciclo de Rankine convencional y gasificación con un motor de combustión interna. Los resultados mostraron que el potencial teórico de Brasil es de 7185.39 PJ y 16,708.12 PJ en 2018 y 2050. El potencial técnico en 2018 es de 1795.16 PJ, generando 71,236.47 MWe, mientras que el potencial en 2050 se proyecta en 5771.49.4 PJ proporcionando 229,027.31 MWe. Las principales restricciones son la distribución dispersa de biomasa en un área grande, los costos de suministro y las bajas eficiencias para la conversión de energía. Por lo tanto, el potencial tecnoeconómico es de alrededor de 19.704,01 MWe y 63.348,95 MWe para 2018 y 2050. La región norte tiene el potencial de generación de electricidad más bajo, mientras que la región sureste ocupa una posición destacada para generar electricidad principalmente a partir de residuos de caña de azúcar. Los costos nivelados de los valores de electricidad variaron de 10.532 a 15.507 US$/MWh para 2018 y de 7.320 a 13.002 US$/MWh para 2050, lo que estuvo muy influenciado por el precio de la biomasa. Los resultados de este estudio pueden apoyar la formulación de políticas hacia la planificación futura de la bioenergía brasileña. Bioeconomy, as a key strategic innovation pillar, supports energy transition and involves biomass resource assessment and its application. Biomass has an enormous potential to fulfil the domestic energy demand in Brazil. Hence, this study aims to quantify the theoretical, technical and techno-economic potential of agricultural and forestry residues to generate electricity via thermochemical processes in Brazil for the 2018–2050 timeframe. The analysis was carried out via an integrated approach, according to statistical reports and literature data. Conversion technologies for the estimation of technical potential consist of organic rankine cycle, combustion with conventional rankine cycle and gasification with an internal combustion engine. The results showed that Brazil's theoretical potential is 7185.39 PJ and 16,708.12 PJ in 2018 and 2050. The technical potential in 2018 is 1795.16 PJ, generating 71,236.47 MWe, while the potential in 2050 is projected as 5771.49.4 PJ providing 229,027.31 MWe. The main restrictions are dispersed distribution of biomass over a large area, supply costs, and low efficiencies for energy conversion. Therefore, the techno-economic potential is around 19,704.01 MWe and 63,348.95 MWe for 2018 and 2050. The north region has the lowest electricity generation potential, while the southeast region takes a prominent position to generate electricity mainly from sugarcane residues. Levelized costs of electricity values varied from 10.532 to 15.507 US$/MWh for 2018 and from 7.320 to 13.002 US$/MWh for 2050, which highly influenced by the biomass price. The results of this study can support policy-making towards future planning on Brazilian bioenergy. يدعم الاقتصاد الحيوي، باعتباره ركيزة ابتكار استراتيجية رئيسية، انتقال الطاقة وينطوي على تقييم موارد الكتلة الحيوية وتطبيقها. تتمتع الكتلة الحيوية بإمكانات هائلة لتلبية الطلب المحلي على الطاقة في البرازيل. وبالتالي، تهدف هذه الدراسة إلى تحديد الإمكانات النظرية والتقنية والتقنية والاقتصادية للمخلفات الزراعية والحرجية لتوليد الكهرباء عبر العمليات الكيميائية الحرارية في البرازيل للإطار الزمني 2018-2050. تم إجراء التحليل من خلال نهج متكامل، وفقًا للتقارير الإحصائية وبيانات الأدبيات. تتكون تقنيات التحويل لتقدير الإمكانات التقنية من دورة رانكين العضوية، والاحتراق مع دورة رانكين التقليدية والتغويز بمحرك احتراق داخلي. أظهرت النتائج أن الإمكانات النظرية للبرازيل هي 7185.39 بيكو جول و 16708.12 بيكو جول في عامي 2018 و 2050. تبلغ الإمكانات الفنية في عام 2018 1795.16 بيكو جول، مما يولد 71,236.47 ميجا وات، في حين من المتوقع أن تبلغ الإمكانات في عام 2050 5771.49.4 بيكو جول مما يوفر 229,027.31 ميجا وات. تتمثل القيود الرئيسية في التوزيع المشتت للكتلة الحيوية على مساحة كبيرة، وتكاليف الإمداد، والكفاءات المنخفضة لتحويل الطاقة. لذلك، تبلغ الإمكانات التقنية والاقتصادية حوالي 19,704.01 ميجاوات و 63,348.95 ميجاوات لعامي 2018 و 2050. تتمتع المنطقة الشمالية بأقل إمكانات لتوليد الكهرباء، بينما تحتل المنطقة الجنوبية الشرقية مكانة بارزة لتوليد الكهرباء بشكل رئيسي من مخلفات قصب السكر. تفاوتت التكاليف المستوية لقيم الكهرباء من 10.532 إلى 15.507 دولار أمريكي/ميجاوات ساعة لعام 2018 ومن 7.320 إلى 13.002 دولار أمريكي/ميجاوات ساعة لعام 2050، والتي تأثرت بشكل كبير بسعر الكتلة الحيوية. يمكن لنتائج هذه الدراسة أن تدعم صنع السياسات نحو التخطيط المستقبلي للطاقة الحيوية البرازيلية.
Energy Reports arrow_drop_down Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egyr.2021.04.026&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 29 citations 29 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Energy Reports arrow_drop_down Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egyr.2021.04.026&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021 ItalyPublisher:Elsevier BV Funded by:MIURMIURAuthors: Lidiane La Picirelli de Souza; Sara Rajabi Hamedani; Electo Eduardo Silva Lora; José Carlos Escobar Palácio; +3 AuthorsLidiane La Picirelli de Souza; Sara Rajabi Hamedani; Electo Eduardo Silva Lora; José Carlos Escobar Palácio; Gabriele Comodi; Milena Villarini; Andrea Colantoni;handle: 2067/43712
La bioéconomie, en tant que pilier stratégique clé de l'innovation, soutient la transition énergétique et implique l'évaluation des ressources en biomasse et son application. La biomasse a un énorme potentiel pour répondre à la demande intérieure d'énergie au Brésil. Par conséquent, cette étude vise à quantifier le potentiel théorique, technique et technico-économique des résidus agricoles et forestiers pour produire de l'électricité via des processus thermochimiques au Brésil pour la période 2018–2050. L'analyse a été réalisée via une approche intégrée, selon les rapports statistiques et les données de la littérature. Les technologies de conversion pour l'estimation du potentiel technique comprennent le cycle de rankine organique, la combustion avec cycle de rankine conventionnel et la gazéification avec un moteur à combustion interne. Les résultats ont montré que le potentiel théorique du Brésil est de 7 185,39 PJ et 16 708,12 PJ en 2018 et 2050. Le potentiel technique en 2018 est de 1795,16 PJ, générant 71 236,47 MWe, tandis que le potentiel en 2050 est projeté à 5771,49,4 PJ fournissant 229 027,31 MWe. Les principales restrictions sont la distribution dispersée de la biomasse sur une grande surface, les coûts d'approvisionnement et les faibles rendements pour la conversion de l'énergie. Par conséquent, le potentiel technico-économique est d'environ 19 704,01 MWe et 63 348,95 MWe pour 2018 et 2050. La région du nord a le potentiel de production d'électricité le plus faible, tandis que la région du sud-est occupe une position de premier plan pour produire de l'électricité principalement à partir de résidus de canne à sucre. Les coûts nivelés des valeurs de l'électricité ont varié de 10,532 à 15,507 US$ / MWh pour 2018 et de 7,320 à 13,002 US$ / MWh pour 2050, ce qui a été fortement influencé par le prix de la biomasse. Les résultats de cette étude peuvent soutenir l'élaboration de politiques en vue de la planification future de la bioénergie brésilienne. La bioeconomía, como pilar estratégico clave de la innovación, apoya la transición energética e implica la evaluación de los recursos de biomasa y su aplicación. La biomasa tiene un enorme potencial para satisfacer la demanda interna de energía en Brasil. Por lo tanto, este estudio tiene como objetivo cuantificar el potencial teórico, técnico y tecnoeconómico de los residuos agrícolas y forestales para generar electricidad a través de procesos termoquímicos en Brasil para el período 2018–2050. El análisis se llevó a cabo a través de un enfoque integrado, de acuerdo con los informes estadísticos y los datos de la literatura. Las tecnologías de conversión para la estimación del potencial técnico consisten en ciclo de Rankine orgánico, combustión con ciclo de Rankine convencional y gasificación con un motor de combustión interna. Los resultados mostraron que el potencial teórico de Brasil es de 7185.39 PJ y 16,708.12 PJ en 2018 y 2050. El potencial técnico en 2018 es de 1795.16 PJ, generando 71,236.47 MWe, mientras que el potencial en 2050 se proyecta en 5771.49.4 PJ proporcionando 229,027.31 MWe. Las principales restricciones son la distribución dispersa de biomasa en un área grande, los costos de suministro y las bajas eficiencias para la conversión de energía. Por lo tanto, el potencial tecnoeconómico es de alrededor de 19.704,01 MWe y 63.348,95 MWe para 2018 y 2050. La región norte tiene el potencial de generación de electricidad más bajo, mientras que la región sureste ocupa una posición destacada para generar electricidad principalmente a partir de residuos de caña de azúcar. Los costos nivelados de los valores de electricidad variaron de 10.532 a 15.507 US$/MWh para 2018 y de 7.320 a 13.002 US$/MWh para 2050, lo que estuvo muy influenciado por el precio de la biomasa. Los resultados de este estudio pueden apoyar la formulación de políticas hacia la planificación futura de la bioenergía brasileña. Bioeconomy, as a key strategic innovation pillar, supports energy transition and involves biomass resource assessment and its application. Biomass has an enormous potential to fulfil the domestic energy demand in Brazil. Hence, this study aims to quantify the theoretical, technical and techno-economic potential of agricultural and forestry residues to generate electricity via thermochemical processes in Brazil for the 2018–2050 timeframe. The analysis was carried out via an integrated approach, according to statistical reports and literature data. Conversion technologies for the estimation of technical potential consist of organic rankine cycle, combustion with conventional rankine cycle and gasification with an internal combustion engine. The results showed that Brazil's theoretical potential is 7185.39 PJ and 16,708.12 PJ in 2018 and 2050. The technical potential in 2018 is 1795.16 PJ, generating 71,236.47 MWe, while the potential in 2050 is projected as 5771.49.4 PJ providing 229,027.31 MWe. The main restrictions are dispersed distribution of biomass over a large area, supply costs, and low efficiencies for energy conversion. Therefore, the techno-economic potential is around 19,704.01 MWe and 63,348.95 MWe for 2018 and 2050. The north region has the lowest electricity generation potential, while the southeast region takes a prominent position to generate electricity mainly from sugarcane residues. Levelized costs of electricity values varied from 10.532 to 15.507 US$/MWh for 2018 and from 7.320 to 13.002 US$/MWh for 2050, which highly influenced by the biomass price. The results of this study can support policy-making towards future planning on Brazilian bioenergy. يدعم الاقتصاد الحيوي، باعتباره ركيزة ابتكار استراتيجية رئيسية، انتقال الطاقة وينطوي على تقييم موارد الكتلة الحيوية وتطبيقها. تتمتع الكتلة الحيوية بإمكانات هائلة لتلبية الطلب المحلي على الطاقة في البرازيل. وبالتالي، تهدف هذه الدراسة إلى تحديد الإمكانات النظرية والتقنية والتقنية والاقتصادية للمخلفات الزراعية والحرجية لتوليد الكهرباء عبر العمليات الكيميائية الحرارية في البرازيل للإطار الزمني 2018-2050. تم إجراء التحليل من خلال نهج متكامل، وفقًا للتقارير الإحصائية وبيانات الأدبيات. تتكون تقنيات التحويل لتقدير الإمكانات التقنية من دورة رانكين العضوية، والاحتراق مع دورة رانكين التقليدية والتغويز بمحرك احتراق داخلي. أظهرت النتائج أن الإمكانات النظرية للبرازيل هي 7185.39 بيكو جول و 16708.12 بيكو جول في عامي 2018 و 2050. تبلغ الإمكانات الفنية في عام 2018 1795.16 بيكو جول، مما يولد 71,236.47 ميجا وات، في حين من المتوقع أن تبلغ الإمكانات في عام 2050 5771.49.4 بيكو جول مما يوفر 229,027.31 ميجا وات. تتمثل القيود الرئيسية في التوزيع المشتت للكتلة الحيوية على مساحة كبيرة، وتكاليف الإمداد، والكفاءات المنخفضة لتحويل الطاقة. لذلك، تبلغ الإمكانات التقنية والاقتصادية حوالي 19,704.01 ميجاوات و 63,348.95 ميجاوات لعامي 2018 و 2050. تتمتع المنطقة الشمالية بأقل إمكانات لتوليد الكهرباء، بينما تحتل المنطقة الجنوبية الشرقية مكانة بارزة لتوليد الكهرباء بشكل رئيسي من مخلفات قصب السكر. تفاوتت التكاليف المستوية لقيم الكهرباء من 10.532 إلى 15.507 دولار أمريكي/ميجاوات ساعة لعام 2018 ومن 7.320 إلى 13.002 دولار أمريكي/ميجاوات ساعة لعام 2050، والتي تأثرت بشكل كبير بسعر الكتلة الحيوية. يمكن لنتائج هذه الدراسة أن تدعم صنع السياسات نحو التخطيط المستقبلي للطاقة الحيوية البرازيلية.
Energy Reports arrow_drop_down Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egyr.2021.04.026&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 29 citations 29 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Energy Reports arrow_drop_down Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egyr.2021.04.026&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Conference object 2017 SingaporePublisher:Elsevier BV Gabriele Comodi; Alessio Tafone; Yongliang Li; Alessandro Romagnoli; Emiliano Borri;Abstract This work investigates the technical and economic feasibility of a Liquid Air Energy Storage (LAES) for building demand management applications. The thermodynamics and processes of the LAES configuration, as well as the description of the daily cooling energy demand profile, are described in details and the assumptions and constrains are pointed out. The quantitative analysis has been carried out for a daily cooling energy demand of an existing office building, located in Singapore, locality characterized by a typical hot climate. A thermodynamic analysis has been carried out for LAES configuration by means of the Aspen HYSYS® process simulation code. Under the technical assumptions formulated, LAES achieves an overall round trip efficiency of 45% with a specific consumption of 0.20 kWh/kgLA. The exergy analysis shows that LAES is characterized by an exergy efficiency of 84% and 67% for the liquefaction and the discharge processes, respectively; the compressor and the power turbines account for the highest exergy losses. Finally, the economic results show that under the actual condition of peak tariff and off-peak tariff in Singapore, the investment proposed is not convenient but in case of high values of LAES round trip efficiency and lower OPT the investment may be attractive. However, future works have to deal with the limitations introduced in the analysis, such as neglecting LAES operation costs, and the uncertainty related to capital costs figures.
Energy Procedia arrow_drop_down Digital Repository of NTUConference object . 2017License: © 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Data sources: Digital Repository of NTUadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egypro.2017.03.944&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 50 citations 50 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Energy Procedia arrow_drop_down Digital Repository of NTUConference object . 2017License: © 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Data sources: Digital Repository of NTUadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egypro.2017.03.944&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Conference object 2017 SingaporePublisher:Elsevier BV Gabriele Comodi; Alessio Tafone; Yongliang Li; Alessandro Romagnoli; Emiliano Borri;Abstract This work investigates the technical and economic feasibility of a Liquid Air Energy Storage (LAES) for building demand management applications. The thermodynamics and processes of the LAES configuration, as well as the description of the daily cooling energy demand profile, are described in details and the assumptions and constrains are pointed out. The quantitative analysis has been carried out for a daily cooling energy demand of an existing office building, located in Singapore, locality characterized by a typical hot climate. A thermodynamic analysis has been carried out for LAES configuration by means of the Aspen HYSYS® process simulation code. Under the technical assumptions formulated, LAES achieves an overall round trip efficiency of 45% with a specific consumption of 0.20 kWh/kgLA. The exergy analysis shows that LAES is characterized by an exergy efficiency of 84% and 67% for the liquefaction and the discharge processes, respectively; the compressor and the power turbines account for the highest exergy losses. Finally, the economic results show that under the actual condition of peak tariff and off-peak tariff in Singapore, the investment proposed is not convenient but in case of high values of LAES round trip efficiency and lower OPT the investment may be attractive. However, future works have to deal with the limitations introduced in the analysis, such as neglecting LAES operation costs, and the uncertainty related to capital costs figures.
Energy Procedia arrow_drop_down Digital Repository of NTUConference object . 2017License: © 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Data sources: Digital Repository of NTUadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egypro.2017.03.944&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 50 citations 50 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Energy Procedia arrow_drop_down Digital Repository of NTUConference object . 2017License: © 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Data sources: Digital Repository of NTUadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egypro.2017.03.944&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV Authors: Lingkang Jin; Andrea Monforti Ferrario; Viviana Cigolotti; Gabriele Comodi;Blending hydrogen (H2) produced from PEM electrolysis coupled to Renewable Energy Sources (RES) in the existing Natural Gas (NG) network is a promising option for the deep decarbonization of the gas sector. However, blending H2 with NG significantly affects the thermophysical properties of the gas mixture, changing the gas supply requirements to meet the demand. In this work, different scenarios of green hydrogen blending (Blend Ratio BR equal to 5/10/15/20%vol) are analyzed at the national level with different temporal constraints (hour/day/week/month/year) based on real gas demand data in Italy, addressing both design requirements (RES and PEM electrolyzer capacity) via Linear Programming (LP) and carrying out dynamic simulations of different operational strategies (constant or variable blend). Although H2/NG blending provides a huge opportunity in terms of deployed H2 volume, higher BRs show rapidly increasing design requirements (1.3-1.5 GWe/%vol and 2.5-3 GWe/%vol for PEM electrolyzers and RES capacity, respectively) and a significative increase of the total gas mixture volume (0.83%/%vol) which hinders the CO2 reduction potential (0.37%/%vol). A variable blend operation strategy (allowing a variation of BR within the analyzed period) allows to balance a variable H2 production from RES. Wider temporal constraints imply several beneficial effects such as relaxing design constraints and avoiding the implementation of an external storage. The Levelized Cost Of Hydrogen (LCOH) is preliminarily estimated at around 7.3 $/kg for yearly scenarios (best-case), although shorter temporal constraints entail significant excess hydrogen which would increase the LCOH if not deployed for other applications.
Renewable and Sustai... arrow_drop_down Renewable and Sustainable Energy TransitionArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.rset.2022.100022&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Renewable and Sustai... arrow_drop_down Renewable and Sustainable Energy TransitionArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.rset.2022.100022&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV Authors: Lingkang Jin; Andrea Monforti Ferrario; Viviana Cigolotti; Gabriele Comodi;Blending hydrogen (H2) produced from PEM electrolysis coupled to Renewable Energy Sources (RES) in the existing Natural Gas (NG) network is a promising option for the deep decarbonization of the gas sector. However, blending H2 with NG significantly affects the thermophysical properties of the gas mixture, changing the gas supply requirements to meet the demand. In this work, different scenarios of green hydrogen blending (Blend Ratio BR equal to 5/10/15/20%vol) are analyzed at the national level with different temporal constraints (hour/day/week/month/year) based on real gas demand data in Italy, addressing both design requirements (RES and PEM electrolyzer capacity) via Linear Programming (LP) and carrying out dynamic simulations of different operational strategies (constant or variable blend). Although H2/NG blending provides a huge opportunity in terms of deployed H2 volume, higher BRs show rapidly increasing design requirements (1.3-1.5 GWe/%vol and 2.5-3 GWe/%vol for PEM electrolyzers and RES capacity, respectively) and a significative increase of the total gas mixture volume (0.83%/%vol) which hinders the CO2 reduction potential (0.37%/%vol). A variable blend operation strategy (allowing a variation of BR within the analyzed period) allows to balance a variable H2 production from RES. Wider temporal constraints imply several beneficial effects such as relaxing design constraints and avoiding the implementation of an external storage. The Levelized Cost Of Hydrogen (LCOH) is preliminarily estimated at around 7.3 $/kg for yearly scenarios (best-case), although shorter temporal constraints entail significant excess hydrogen which would increase the LCOH if not deployed for other applications.
Renewable and Sustai... arrow_drop_down Renewable and Sustainable Energy TransitionArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.rset.2022.100022&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Renewable and Sustai... arrow_drop_down Renewable and Sustainable Energy TransitionArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.rset.2022.100022&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2014Publisher:Elsevier BV Authors: Flavio Caresana; Massimiliano Renzi; Leonardo Pelagalli; Gabriele Comodi;Abstract This paper describes a test bench that has been designed to implement the fogging inlet air cooling technique to a 100 kWe Microturbine (MGT) and reports the power and efficiency increase of the machine. Indeed, one of the main issues of MGTs, which has also been observed and documented in large sized gas turbines, is their strong sensibility to inlet air temperature. One of the most interesting technology in terms of low plant complexity to limit the MGTs performance loss is the high pressure fogging. Although cooling down the inlet air temperature with this technique has already been analyzed for medium/large gas turbines systems, there are very limited reports available on MGTs and few experimental data are documented. Results show that the machine’s electric power gain depends on ambient humidity and it ranges from 5% to 13% (corresponding to an inlet temperature drop between 4 and 10 °C) in the location where the plant is installed. Power enhancement corresponds to 1.03 kW for each Celsius degree of inlet air temperature reduction. As regards the electric conversion efficiency, the increase reaches about 0.41%/°C. Being the inlet air saturation the thermodynamic limit, the absolute power and efficiency gains are the higher, the hotter and drier the climate is.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2014.08.084&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu30 citations 30 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2014.08.084&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2014Publisher:Elsevier BV Authors: Flavio Caresana; Massimiliano Renzi; Leonardo Pelagalli; Gabriele Comodi;Abstract This paper describes a test bench that has been designed to implement the fogging inlet air cooling technique to a 100 kWe Microturbine (MGT) and reports the power and efficiency increase of the machine. Indeed, one of the main issues of MGTs, which has also been observed and documented in large sized gas turbines, is their strong sensibility to inlet air temperature. One of the most interesting technology in terms of low plant complexity to limit the MGTs performance loss is the high pressure fogging. Although cooling down the inlet air temperature with this technique has already been analyzed for medium/large gas turbines systems, there are very limited reports available on MGTs and few experimental data are documented. Results show that the machine’s electric power gain depends on ambient humidity and it ranges from 5% to 13% (corresponding to an inlet temperature drop between 4 and 10 °C) in the location where the plant is installed. Power enhancement corresponds to 1.03 kW for each Celsius degree of inlet air temperature reduction. As regards the electric conversion efficiency, the increase reaches about 0.41%/°C. Being the inlet air saturation the thermodynamic limit, the absolute power and efficiency gains are the higher, the hotter and drier the climate is.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2014.08.084&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu30 citations 30 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2016Publisher:Elsevier BV Authors: Gabriele Comodi; Massimiliano Renzi; Mosè Rossi;Abstract Flare gas recovery is one of the most attractive methods to improve energy efficiency in oil refineries to decrease greenhouse gas emissions. The recovered gas is used to feed refinery processes, granting advantages in terms of fuel economy and flare stress. This paper presents the results obtained by a feasibility study of a flare gas recovery system in a real refinery; the work focused on: i) the choice and the design of the flare gas recovery system; ii) the gas treatment and reuse; iii) the economic feasibility, and the payback period. An experimental campaign has been performed to evaluate both the composition and the flow rate of the flare gas. Results showed that the flare gas had a strongly variable flow rate and composition due to the different gas species processed in refinery. A methodology for the system selection is presented: a 400 kg/h liquid ring compression device is chosen; its basic design is described as well as the chemical treatments of inert gases and hydrogen sulphide (H2S). The yearly energy recovery was estimated to be 2900 TOE, corresponding to 6600 tons of CDE (Carbon Dioxide Equivalent). Finally, an economic evaluation was carried out, showing a payback period of about 2.5 years.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.energy.2016.04.080&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu46 citations 46 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.energy.2016.04.080&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2016Publisher:Elsevier BV Authors: Gabriele Comodi; Massimiliano Renzi; Mosè Rossi;Abstract Flare gas recovery is one of the most attractive methods to improve energy efficiency in oil refineries to decrease greenhouse gas emissions. The recovered gas is used to feed refinery processes, granting advantages in terms of fuel economy and flare stress. This paper presents the results obtained by a feasibility study of a flare gas recovery system in a real refinery; the work focused on: i) the choice and the design of the flare gas recovery system; ii) the gas treatment and reuse; iii) the economic feasibility, and the payback period. An experimental campaign has been performed to evaluate both the composition and the flow rate of the flare gas. Results showed that the flare gas had a strongly variable flow rate and composition due to the different gas species processed in refinery. A methodology for the system selection is presented: a 400 kg/h liquid ring compression device is chosen; its basic design is described as well as the chemical treatments of inert gases and hydrogen sulphide (H2S). The yearly energy recovery was estimated to be 2900 TOE, corresponding to 6600 tons of CDE (Carbon Dioxide Equivalent). Finally, an economic evaluation was carried out, showing a payback period of about 2.5 years.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.energy.2016.04.080&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu46 citations 46 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.energy.2016.04.080&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017Publisher:Elsevier BV Francesco Ferracuti; Alessandro Fonti; Lucio Ciabattoni; Stefano Pizzuti; Alessia Arteconi; Lieve Helsen; Gabriele Comodi;Abstract This paper presents the comparison of three data driven models for short-term thermal behaviour prediction in a real building, part of a living smart district connected to a thermal network. The case study building is representative of most of the buildings of the tertiary sector (e.g. offices and schools) built in Italy in the 60s–70s of the 20th century. The considered building models are: three lumped element grey-box models of first, second and third order, an AutoRegressive model with eXogenous inputs (ARX) and a Nonlinear AutoRegressive network with eXogenous inputs (NARX). The models identification is performed by means of real measured data. Nevertheless the quantity and quality of the available input data, all the data driven models show good accuracy in predicting short-term behaviour of the real building both in winter and summer. Among the grey-box models, the third order one shows the best performance with a Root-Mean-Square Error (RMSE) in winter less than 0.5 °C for a prediction horizon of 1 h and a RMSE less than 1 °C for a prediction horizon of 3 h. The ARX model shows a maximum RMSE less than 0.5 °C for a prediction horizon of 1 h and a RMSE less than 0.8 °C for a prediction horizon of 3 h. The NARX network shows a maximum RMSE less than 0.5 °C for a prediction horizon of 1 h and a RMSE less than 0.9 °C for a prediction horizon of 3 h. In summer the RMSE is always lower than 0.4 °C for all the models with a 3-h prediction horizon. Other than typical control applications, the paper demonstrates that all the data driven models investigated can also be proposed as a powerful tool to detect some typologies of occupant bad behaviours and to predict the short-term flexibility of the building for demand response (DR) applications since they allow a good estimation of the building “thermal flywheel”.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2017.05.015&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 69 citations 69 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2017.05.015&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017Publisher:Elsevier BV Francesco Ferracuti; Alessandro Fonti; Lucio Ciabattoni; Stefano Pizzuti; Alessia Arteconi; Lieve Helsen; Gabriele Comodi;Abstract This paper presents the comparison of three data driven models for short-term thermal behaviour prediction in a real building, part of a living smart district connected to a thermal network. The case study building is representative of most of the buildings of the tertiary sector (e.g. offices and schools) built in Italy in the 60s–70s of the 20th century. The considered building models are: three lumped element grey-box models of first, second and third order, an AutoRegressive model with eXogenous inputs (ARX) and a Nonlinear AutoRegressive network with eXogenous inputs (NARX). The models identification is performed by means of real measured data. Nevertheless the quantity and quality of the available input data, all the data driven models show good accuracy in predicting short-term behaviour of the real building both in winter and summer. Among the grey-box models, the third order one shows the best performance with a Root-Mean-Square Error (RMSE) in winter less than 0.5 °C for a prediction horizon of 1 h and a RMSE less than 1 °C for a prediction horizon of 3 h. The ARX model shows a maximum RMSE less than 0.5 °C for a prediction horizon of 1 h and a RMSE less than 0.8 °C for a prediction horizon of 3 h. The NARX network shows a maximum RMSE less than 0.5 °C for a prediction horizon of 1 h and a RMSE less than 0.9 °C for a prediction horizon of 3 h. In summer the RMSE is always lower than 0.4 °C for all the models with a 3-h prediction horizon. Other than typical control applications, the paper demonstrates that all the data driven models investigated can also be proposed as a powerful tool to detect some typologies of occupant bad behaviours and to predict the short-term flexibility of the building for demand response (DR) applications since they allow a good estimation of the building “thermal flywheel”.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2017.05.015&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 69 citations 69 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2017.05.015&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021Publisher:MDPI AG Funded by:EC | MUSE GRIDSEC| MUSE GRIDSErica Corradi; Mosè Rossi; Alice Mugnini; Anam Nadeem; Gabriele Comodi; Alessia Arteconi; Danilo Salvi;doi: 10.3390/en14227783
District heating (DH) is an alternative technology to Individual Heating (IH) for satisfying end-user’s needs. This paper assesses the competitiveness of a DH network in the center of Italy from energy, environmental, and economic points of view considering both thermal power plant and end-users’ sides. On the thermal power plant side, the energy analysis considers the Primary Energy Saving (PES) and the specific energy (Esp) of the fuel actually exploited in the thermal power plant compared to its Low Heating Value (LHV), while the environmental analysis considers the avoided CO2 and the economic analysis considers the Energy Efficiency Certificates (EECs). Results showed that the current thermal power plant configuration with two boilers and a Combined Heat and Power (CHP) unit reaches a yearly PES of 21.3% as well as 1099 tCO2 avoided. From the economic analysis of the thermal power plant side, 829 EECs with an economic return of 207,222€ are obtained, while from the end-users’ side the DH network is cheaper than IH in 84.7% of the cases. Further technologies are also studied to enhance the CHP unit flexibility.
Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/22/7783/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14227783&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/22/7783/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14227783&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021Publisher:MDPI AG Funded by:EC | MUSE GRIDSEC| MUSE GRIDSErica Corradi; Mosè Rossi; Alice Mugnini; Anam Nadeem; Gabriele Comodi; Alessia Arteconi; Danilo Salvi;doi: 10.3390/en14227783
District heating (DH) is an alternative technology to Individual Heating (IH) for satisfying end-user’s needs. This paper assesses the competitiveness of a DH network in the center of Italy from energy, environmental, and economic points of view considering both thermal power plant and end-users’ sides. On the thermal power plant side, the energy analysis considers the Primary Energy Saving (PES) and the specific energy (Esp) of the fuel actually exploited in the thermal power plant compared to its Low Heating Value (LHV), while the environmental analysis considers the avoided CO2 and the economic analysis considers the Energy Efficiency Certificates (EECs). Results showed that the current thermal power plant configuration with two boilers and a Combined Heat and Power (CHP) unit reaches a yearly PES of 21.3% as well as 1099 tCO2 avoided. From the economic analysis of the thermal power plant side, 829 EECs with an economic return of 207,222€ are obtained, while from the end-users’ side the DH network is cheaper than IH in 84.7% of the cases. Further technologies are also studied to enhance the CHP unit flexibility.
Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/22/7783/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14227783&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/22/7783/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14227783&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article , Journal 2016 ItalyPublisher:Elsevier BV Gabriele Comodi; Kevin Aditya; Alessandro Romagnoli; Markus Kraft; Markus Kraft; Fabio Dal Magro; Antonella Meneghetti; Chuan Zhang; Sushant S. Garud; Pulkit Chhabra; Li Zhou;handle: 11390/1098435
Abstract Based on share of energy, materials, resources and information, Eco Industrial Park (EIP) has become a popular form of industry cluster. Waste Heat Recovery (WHR) in EIP can significantly increase the total energy efficiency of the whole park, meanwhile reducing its greenhouse gas emission. The current paper proposes a methodology to assess the opportunities of WHR in EIP at park level. Four different steps are included in this methodology. The first step is identification of waste heat source plants and sink plants in EIP; the second step is the establishment of the waste heat transportation system; the third step is a Single-Objective Optimization Problem (SOOP); the fourth step is Multi-Objective Optimization Problem (MOOP). An EIP on Jurong Island Singapore comprising of five plants and two communities is used as a case study to demonstrate the capability of this methodology. Two different operation modes for the EIP are considered: with continuous waste heat and with discontinuous waste heat over time. The first scenario shows that SOOP and MOOP will deliver different WHR networks; the second scenario shows that waste heat discontinuity has great influence on the optimization of the WHR network.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2016.10.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu48 citations 48 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2016.10.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2016 ItalyPublisher:Elsevier BV Gabriele Comodi; Kevin Aditya; Alessandro Romagnoli; Markus Kraft; Markus Kraft; Fabio Dal Magro; Antonella Meneghetti; Chuan Zhang; Sushant S. Garud; Pulkit Chhabra; Li Zhou;handle: 11390/1098435
Abstract Based on share of energy, materials, resources and information, Eco Industrial Park (EIP) has become a popular form of industry cluster. Waste Heat Recovery (WHR) in EIP can significantly increase the total energy efficiency of the whole park, meanwhile reducing its greenhouse gas emission. The current paper proposes a methodology to assess the opportunities of WHR in EIP at park level. Four different steps are included in this methodology. The first step is identification of waste heat source plants and sink plants in EIP; the second step is the establishment of the waste heat transportation system; the third step is a Single-Objective Optimization Problem (SOOP); the fourth step is Multi-Objective Optimization Problem (MOOP). An EIP on Jurong Island Singapore comprising of five plants and two communities is used as a case study to demonstrate the capability of this methodology. Two different operation modes for the EIP are considered: with continuous waste heat and with discontinuous waste heat over time. The first scenario shows that SOOP and MOOP will deliver different WHR networks; the second scenario shows that waste heat discontinuity has great influence on the optimization of the WHR network.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2016.10.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu48 citations 48 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2016.10.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021Publisher:Elsevier BV Samuele Spedaletti; Mosè Rossi; Gabriele Comodi; Danilo Salvi; Massimiliano Renzi;Abstract Energy recovery solutions reduce considerably the carbon footprint of Water Supply Systems (WSSs), which accounts for a large share of the energy demand in urban areas. The evaluation of the potential saving requires the availability of water flow rate and net head values in WSSs pipelines; however, this task is not always achievable since flow meters are costly and not installed in all the pipelines. In this paper, a novel methodology to predict the yearly average flow rate in gravity adduction pipelines is presented and validated using measured data coming from a WSS in Italy. A methodology already developed by some of the authors of this work was used to select Pump-as-Turbines (PaTs) and evaluate their Best Efficiency Point (BEP) to maximize the energy recovery. Two different installation layouts were investigated, namely one PaT and two PaTs in parallel, to be installed in the selected branches. The first one showed the best economic profitability, leading to a saving of 1325 €/year and a PayBack Period (PBP) of 11 years. The branch with the highest energy recovery potential led to a saving of 4915 €/year and a PBP of 6 years. Energy Efficiency Certificates (ECCs) were considered, highlighting their pivotal role to lower PBPs.
Sustainable Energy T... arrow_drop_down Sustainable Energy Technologies and AssessmentsArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.seta.2021.101040&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Sustainable Energy T... arrow_drop_down Sustainable Energy Technologies and AssessmentsArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.seta.2021.101040&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021Publisher:Elsevier BV Samuele Spedaletti; Mosè Rossi; Gabriele Comodi; Danilo Salvi; Massimiliano Renzi;Abstract Energy recovery solutions reduce considerably the carbon footprint of Water Supply Systems (WSSs), which accounts for a large share of the energy demand in urban areas. The evaluation of the potential saving requires the availability of water flow rate and net head values in WSSs pipelines; however, this task is not always achievable since flow meters are costly and not installed in all the pipelines. In this paper, a novel methodology to predict the yearly average flow rate in gravity adduction pipelines is presented and validated using measured data coming from a WSS in Italy. A methodology already developed by some of the authors of this work was used to select Pump-as-Turbines (PaTs) and evaluate their Best Efficiency Point (BEP) to maximize the energy recovery. Two different installation layouts were investigated, namely one PaT and two PaTs in parallel, to be installed in the selected branches. The first one showed the best economic profitability, leading to a saving of 1325 €/year and a PayBack Period (PBP) of 11 years. The branch with the highest energy recovery potential led to a saving of 4915 €/year and a PBP of 6 years. Energy Efficiency Certificates (ECCs) were considered, highlighting their pivotal role to lower PBPs.
Sustainable Energy T... arrow_drop_down Sustainable Energy Technologies and AssessmentsArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.seta.2021.101040&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Sustainable Energy T... arrow_drop_down Sustainable Energy Technologies and AssessmentsArticle . 2021 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.seta.2021.101040&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Conference object 2017 ItalyPublisher:Elsevier BV Alessandro Fonti; Gabriele Comodi; Stefano Pizzuti; Alessia Arteconi; Lieve Helsen;handle: 20.500.12079/5983
Abstract Low order grey-box models are suitable to be used in predictive controls. In real buildings in which the measured quantities are few the reliability of these models is crucial for the control performance. In this paper an identification procedure is analyzed to investigate the accuracy of different order grey-box models for short-term thermal behavior prediction in a real building, part of a living smart district. The building has a low number of zones and a single indoor temperature measuring point. The models are identified on the data acquired in 31 days during the winter 2015. The second order model shows the best performance with a root-mean-square error (RMSE) less than 0.5°C for a prediction horizon of 1-hour and a RMSE less than 1 °C for a prediction horizon of 3-hours.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egypro.2017.03.592&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 28 citations 28 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 2visibility views 2 download downloads 1 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egypro.2017.03.592&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Conference object 2017 ItalyPublisher:Elsevier BV Alessandro Fonti; Gabriele Comodi; Stefano Pizzuti; Alessia Arteconi; Lieve Helsen;handle: 20.500.12079/5983
Abstract Low order grey-box models are suitable to be used in predictive controls. In real buildings in which the measured quantities are few the reliability of these models is crucial for the control performance. In this paper an identification procedure is analyzed to investigate the accuracy of different order grey-box models for short-term thermal behavior prediction in a real building, part of a living smart district. The building has a low number of zones and a single indoor temperature measuring point. The models are identified on the data acquired in 31 days during the winter 2015. The second order model shows the best performance with a root-mean-square error (RMSE) less than 0.5°C for a prediction horizon of 1-hour and a RMSE less than 1 °C for a prediction horizon of 3-hours.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egypro.2017.03.592&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 28 citations 28 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
visibility 2visibility views 2 download downloads 1 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egypro.2017.03.592&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021 ItalyPublisher:Elsevier BV Funded by:MIURMIURAuthors: Lidiane La Picirelli de Souza; Sara Rajabi Hamedani; Electo Eduardo Silva Lora; José Carlos Escobar Palácio; +3 AuthorsLidiane La Picirelli de Souza; Sara Rajabi Hamedani; Electo Eduardo Silva Lora; José Carlos Escobar Palácio; Gabriele Comodi; Milena Villarini; Andrea Colantoni;handle: 2067/43712
La bioéconomie, en tant que pilier stratégique clé de l'innovation, soutient la transition énergétique et implique l'évaluation des ressources en biomasse et son application. La biomasse a un énorme potentiel pour répondre à la demande intérieure d'énergie au Brésil. Par conséquent, cette étude vise à quantifier le potentiel théorique, technique et technico-économique des résidus agricoles et forestiers pour produire de l'électricité via des processus thermochimiques au Brésil pour la période 2018–2050. L'analyse a été réalisée via une approche intégrée, selon les rapports statistiques et les données de la littérature. Les technologies de conversion pour l'estimation du potentiel technique comprennent le cycle de rankine organique, la combustion avec cycle de rankine conventionnel et la gazéification avec un moteur à combustion interne. Les résultats ont montré que le potentiel théorique du Brésil est de 7 185,39 PJ et 16 708,12 PJ en 2018 et 2050. Le potentiel technique en 2018 est de 1795,16 PJ, générant 71 236,47 MWe, tandis que le potentiel en 2050 est projeté à 5771,49,4 PJ fournissant 229 027,31 MWe. Les principales restrictions sont la distribution dispersée de la biomasse sur une grande surface, les coûts d'approvisionnement et les faibles rendements pour la conversion de l'énergie. Par conséquent, le potentiel technico-économique est d'environ 19 704,01 MWe et 63 348,95 MWe pour 2018 et 2050. La région du nord a le potentiel de production d'électricité le plus faible, tandis que la région du sud-est occupe une position de premier plan pour produire de l'électricité principalement à partir de résidus de canne à sucre. Les coûts nivelés des valeurs de l'électricité ont varié de 10,532 à 15,507 US$ / MWh pour 2018 et de 7,320 à 13,002 US$ / MWh pour 2050, ce qui a été fortement influencé par le prix de la biomasse. Les résultats de cette étude peuvent soutenir l'élaboration de politiques en vue de la planification future de la bioénergie brésilienne. La bioeconomía, como pilar estratégico clave de la innovación, apoya la transición energética e implica la evaluación de los recursos de biomasa y su aplicación. La biomasa tiene un enorme potencial para satisfacer la demanda interna de energía en Brasil. Por lo tanto, este estudio tiene como objetivo cuantificar el potencial teórico, técnico y tecnoeconómico de los residuos agrícolas y forestales para generar electricidad a través de procesos termoquímicos en Brasil para el período 2018–2050. El análisis se llevó a cabo a través de un enfoque integrado, de acuerdo con los informes estadísticos y los datos de la literatura. Las tecnologías de conversión para la estimación del potencial técnico consisten en ciclo de Rankine orgánico, combustión con ciclo de Rankine convencional y gasificación con un motor de combustión interna. Los resultados mostraron que el potencial teórico de Brasil es de 7185.39 PJ y 16,708.12 PJ en 2018 y 2050. El potencial técnico en 2018 es de 1795.16 PJ, generando 71,236.47 MWe, mientras que el potencial en 2050 se proyecta en 5771.49.4 PJ proporcionando 229,027.31 MWe. Las principales restricciones son la distribución dispersa de biomasa en un área grande, los costos de suministro y las bajas eficiencias para la conversión de energía. Por lo tanto, el potencial tecnoeconómico es de alrededor de 19.704,01 MWe y 63.348,95 MWe para 2018 y 2050. La región norte tiene el potencial de generación de electricidad más bajo, mientras que la región sureste ocupa una posición destacada para generar electricidad principalmente a partir de residuos de caña de azúcar. Los costos nivelados de los valores de electricidad variaron de 10.532 a 15.507 US$/MWh para 2018 y de 7.320 a 13.002 US$/MWh para 2050, lo que estuvo muy influenciado por el precio de la biomasa. Los resultados de este estudio pueden apoyar la formulación de políticas hacia la planificación futura de la bioenergía brasileña. Bioeconomy, as a key strategic innovation pillar, supports energy transition and involves biomass resource assessment and its application. Biomass has an enormous potential to fulfil the domestic energy demand in Brazil. Hence, this study aims to quantify the theoretical, technical and techno-economic potential of agricultural and forestry residues to generate electricity via thermochemical processes in Brazil for the 2018–2050 timeframe. The analysis was carried out via an integrated approach, according to statistical reports and literature data. Conversion technologies for the estimation of technical potential consist of organic rankine cycle, combustion with conventional rankine cycle and gasification with an internal combustion engine. The results showed that Brazil's theoretical potential is 7185.39 PJ and 16,708.12 PJ in 2018 and 2050. The technical potential in 2018 is 1795.16 PJ, generating 71,236.47 MWe, while the potential in 2050 is projected as 5771.49.4 PJ providing 229,027.31 MWe. The main restrictions are dispersed distribution of biomass over a large area, supply costs, and low efficiencies for energy conversion. Therefore, the techno-economic potential is around 19,704.01 MWe and 63,348.95 MWe for 2018 and 2050. The north region has the lowest electricity generation potential, while the southeast region takes a prominent position to generate electricity mainly from sugarcane residues. Levelized costs of electricity values varied from 10.532 to 15.507 US$/MWh for 2018 and from 7.320 to 13.002 US$/MWh for 2050, which highly influenced by the biomass price. The results of this study can support policy-making towards future planning on Brazilian bioenergy. يدعم الاقتصاد الحيوي، باعتباره ركيزة ابتكار استراتيجية رئيسية، انتقال الطاقة وينطوي على تقييم موارد الكتلة الحيوية وتطبيقها. تتمتع الكتلة الحيوية بإمكانات هائلة لتلبية الطلب المحلي على الطاقة في البرازيل. وبالتالي، تهدف هذه الدراسة إلى تحديد الإمكانات النظرية والتقنية والتقنية والاقتصادية للمخلفات الزراعية والحرجية لتوليد الكهرباء عبر العمليات الكيميائية الحرارية في البرازيل للإطار الزمني 2018-2050. تم إجراء التحليل من خلال نهج متكامل، وفقًا للتقارير الإحصائية وبيانات الأدبيات. تتكون تقنيات التحويل لتقدير الإمكانات التقنية من دورة رانكين العضوية، والاحتراق مع دورة رانكين التقليدية والتغويز بمحرك احتراق داخلي. أظهرت النتائج أن الإمكانات النظرية للبرازيل هي 7185.39 بيكو جول و 16708.12 بيكو جول في عامي 2018 و 2050. تبلغ الإمكانات الفنية في عام 2018 1795.16 بيكو جول، مما يولد 71,236.47 ميجا وات، في حين من المتوقع أن تبلغ الإمكانات في عام 2050 5771.49.4 بيكو جول مما يوفر 229,027.31 ميجا وات. تتمثل القيود الرئيسية في التوزيع المشتت للكتلة الحيوية على مساحة كبيرة، وتكاليف الإمداد، والكفاءات المنخفضة لتحويل الطاقة. لذلك، تبلغ الإمكانات التقنية والاقتصادية حوالي 19,704.01 ميجاوات و 63,348.95 ميجاوات لعامي 2018 و 2050. تتمتع المنطقة الشمالية بأقل إمكانات لتوليد الكهرباء، بينما تحتل المنطقة الجنوبية الشرقية مكانة بارزة لتوليد الكهرباء بشكل رئيسي من مخلفات قصب السكر. تفاوتت التكاليف المستوية لقيم الكهرباء من 10.532 إلى 15.507 دولار أمريكي/ميجاوات ساعة لعام 2018 ومن 7.320 إلى 13.002 دولار أمريكي/ميجاوات ساعة لعام 2050، والتي تأثرت بشكل كبير بسعر الكتلة الحيوية. يمكن لنتائج هذه الدراسة أن تدعم صنع السياسات نحو التخطيط المستقبلي للطاقة الحيوية البرازيلية.
Energy Reports arrow_drop_down Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egyr.2021.04.026&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 29 citations 29 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Energy Reports arrow_drop_down Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egyr.2021.04.026&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021 ItalyPublisher:Elsevier BV Funded by:MIURMIURAuthors: Lidiane La Picirelli de Souza; Sara Rajabi Hamedani; Electo Eduardo Silva Lora; José Carlos Escobar Palácio; +3 AuthorsLidiane La Picirelli de Souza; Sara Rajabi Hamedani; Electo Eduardo Silva Lora; José Carlos Escobar Palácio; Gabriele Comodi; Milena Villarini; Andrea Colantoni;handle: 2067/43712
La bioéconomie, en tant que pilier stratégique clé de l'innovation, soutient la transition énergétique et implique l'évaluation des ressources en biomasse et son application. La biomasse a un énorme potentiel pour répondre à la demande intérieure d'énergie au Brésil. Par conséquent, cette étude vise à quantifier le potentiel théorique, technique et technico-économique des résidus agricoles et forestiers pour produire de l'électricité via des processus thermochimiques au Brésil pour la période 2018–2050. L'analyse a été réalisée via une approche intégrée, selon les rapports statistiques et les données de la littérature. Les technologies de conversion pour l'estimation du potentiel technique comprennent le cycle de rankine organique, la combustion avec cycle de rankine conventionnel et la gazéification avec un moteur à combustion interne. Les résultats ont montré que le potentiel théorique du Brésil est de 7 185,39 PJ et 16 708,12 PJ en 2018 et 2050. Le potentiel technique en 2018 est de 1795,16 PJ, générant 71 236,47 MWe, tandis que le potentiel en 2050 est projeté à 5771,49,4 PJ fournissant 229 027,31 MWe. Les principales restrictions sont la distribution dispersée de la biomasse sur une grande surface, les coûts d'approvisionnement et les faibles rendements pour la conversion de l'énergie. Par conséquent, le potentiel technico-économique est d'environ 19 704,01 MWe et 63 348,95 MWe pour 2018 et 2050. La région du nord a le potentiel de production d'électricité le plus faible, tandis que la région du sud-est occupe une position de premier plan pour produire de l'électricité principalement à partir de résidus de canne à sucre. Les coûts nivelés des valeurs de l'électricité ont varié de 10,532 à 15,507 US$ / MWh pour 2018 et de 7,320 à 13,002 US$ / MWh pour 2050, ce qui a été fortement influencé par le prix de la biomasse. Les résultats de cette étude peuvent soutenir l'élaboration de politiques en vue de la planification future de la bioénergie brésilienne. La bioeconomía, como pilar estratégico clave de la innovación, apoya la transición energética e implica la evaluación de los recursos de biomasa y su aplicación. La biomasa tiene un enorme potencial para satisfacer la demanda interna de energía en Brasil. Por lo tanto, este estudio tiene como objetivo cuantificar el potencial teórico, técnico y tecnoeconómico de los residuos agrícolas y forestales para generar electricidad a través de procesos termoquímicos en Brasil para el período 2018–2050. El análisis se llevó a cabo a través de un enfoque integrado, de acuerdo con los informes estadísticos y los datos de la literatura. Las tecnologías de conversión para la estimación del potencial técnico consisten en ciclo de Rankine orgánico, combustión con ciclo de Rankine convencional y gasificación con un motor de combustión interna. Los resultados mostraron que el potencial teórico de Brasil es de 7185.39 PJ y 16,708.12 PJ en 2018 y 2050. El potencial técnico en 2018 es de 1795.16 PJ, generando 71,236.47 MWe, mientras que el potencial en 2050 se proyecta en 5771.49.4 PJ proporcionando 229,027.31 MWe. Las principales restricciones son la distribución dispersa de biomasa en un área grande, los costos de suministro y las bajas eficiencias para la conversión de energía. Por lo tanto, el potencial tecnoeconómico es de alrededor de 19.704,01 MWe y 63.348,95 MWe para 2018 y 2050. La región norte tiene el potencial de generación de electricidad más bajo, mientras que la región sureste ocupa una posición destacada para generar electricidad principalmente a partir de residuos de caña de azúcar. Los costos nivelados de los valores de electricidad variaron de 10.532 a 15.507 US$/MWh para 2018 y de 7.320 a 13.002 US$/MWh para 2050, lo que estuvo muy influenciado por el precio de la biomasa. Los resultados de este estudio pueden apoyar la formulación de políticas hacia la planificación futura de la bioenergía brasileña. Bioeconomy, as a key strategic innovation pillar, supports energy transition and involves biomass resource assessment and its application. Biomass has an enormous potential to fulfil the domestic energy demand in Brazil. Hence, this study aims to quantify the theoretical, technical and techno-economic potential of agricultural and forestry residues to generate electricity via thermochemical processes in Brazil for the 2018–2050 timeframe. The analysis was carried out via an integrated approach, according to statistical reports and literature data. Conversion technologies for the estimation of technical potential consist of organic rankine cycle, combustion with conventional rankine cycle and gasification with an internal combustion engine. The results showed that Brazil's theoretical potential is 7185.39 PJ and 16,708.12 PJ in 2018 and 2050. The technical potential in 2018 is 1795.16 PJ, generating 71,236.47 MWe, while the potential in 2050 is projected as 5771.49.4 PJ providing 229,027.31 MWe. The main restrictions are dispersed distribution of biomass over a large area, supply costs, and low efficiencies for energy conversion. Therefore, the techno-economic potential is around 19,704.01 MWe and 63,348.95 MWe for 2018 and 2050. The north region has the lowest electricity generation potential, while the southeast region takes a prominent position to generate electricity mainly from sugarcane residues. Levelized costs of electricity values varied from 10.532 to 15.507 US$/MWh for 2018 and from 7.320 to 13.002 US$/MWh for 2050, which highly influenced by the biomass price. The results of this study can support policy-making towards future planning on Brazilian bioenergy. يدعم الاقتصاد الحيوي، باعتباره ركيزة ابتكار استراتيجية رئيسية، انتقال الطاقة وينطوي على تقييم موارد الكتلة الحيوية وتطبيقها. تتمتع الكتلة الحيوية بإمكانات هائلة لتلبية الطلب المحلي على الطاقة في البرازيل. وبالتالي، تهدف هذه الدراسة إلى تحديد الإمكانات النظرية والتقنية والتقنية والاقتصادية للمخلفات الزراعية والحرجية لتوليد الكهرباء عبر العمليات الكيميائية الحرارية في البرازيل للإطار الزمني 2018-2050. تم إجراء التحليل من خلال نهج متكامل، وفقًا للتقارير الإحصائية وبيانات الأدبيات. تتكون تقنيات التحويل لتقدير الإمكانات التقنية من دورة رانكين العضوية، والاحتراق مع دورة رانكين التقليدية والتغويز بمحرك احتراق داخلي. أظهرت النتائج أن الإمكانات النظرية للبرازيل هي 7185.39 بيكو جول و 16708.12 بيكو جول في عامي 2018 و 2050. تبلغ الإمكانات الفنية في عام 2018 1795.16 بيكو جول، مما يولد 71,236.47 ميجا وات، في حين من المتوقع أن تبلغ الإمكانات في عام 2050 5771.49.4 بيكو جول مما يوفر 229,027.31 ميجا وات. تتمثل القيود الرئيسية في التوزيع المشتت للكتلة الحيوية على مساحة كبيرة، وتكاليف الإمداد، والكفاءات المنخفضة لتحويل الطاقة. لذلك، تبلغ الإمكانات التقنية والاقتصادية حوالي 19,704.01 ميجاوات و 63,348.95 ميجاوات لعامي 2018 و 2050. تتمتع المنطقة الشمالية بأقل إمكانات لتوليد الكهرباء، بينما تحتل المنطقة الجنوبية الشرقية مكانة بارزة لتوليد الكهرباء بشكل رئيسي من مخلفات قصب السكر. تفاوتت التكاليف المستوية لقيم الكهرباء من 10.532 إلى 15.507 دولار أمريكي/ميجاوات ساعة لعام 2018 ومن 7.320 إلى 13.002 دولار أمريكي/ميجاوات ساعة لعام 2050، والتي تأثرت بشكل كبير بسعر الكتلة الحيوية. يمكن لنتائج هذه الدراسة أن تدعم صنع السياسات نحو التخطيط المستقبلي للطاقة الحيوية البرازيلية.
Energy Reports arrow_drop_down Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 29 citations 29 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Energy Reports arrow_drop_down Università degli studi della Tuscia: Unitus DSpaceArticle . 2021Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Conference object 2017 SingaporePublisher:Elsevier BV Gabriele Comodi; Alessio Tafone; Yongliang Li; Alessandro Romagnoli; Emiliano Borri;Abstract This work investigates the technical and economic feasibility of a Liquid Air Energy Storage (LAES) for building demand management applications. The thermodynamics and processes of the LAES configuration, as well as the description of the daily cooling energy demand profile, are described in details and the assumptions and constrains are pointed out. The quantitative analysis has been carried out for a daily cooling energy demand of an existing office building, located in Singapore, locality characterized by a typical hot climate. A thermodynamic analysis has been carried out for LAES configuration by means of the Aspen HYSYS® process simulation code. Under the technical assumptions formulated, LAES achieves an overall round trip efficiency of 45% with a specific consumption of 0.20 kWh/kgLA. The exergy analysis shows that LAES is characterized by an exergy efficiency of 84% and 67% for the liquefaction and the discharge processes, respectively; the compressor and the power turbines account for the highest exergy losses. Finally, the economic results show that under the actual condition of peak tariff and off-peak tariff in Singapore, the investment proposed is not convenient but in case of high values of LAES round trip efficiency and lower OPT the investment may be attractive. However, future works have to deal with the limitations introduced in the analysis, such as neglecting LAES operation costs, and the uncertainty related to capital costs figures.
Energy Procedia arrow_drop_down Digital Repository of NTUConference object . 2017License: © 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Data sources: Digital Repository of NTUadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 50 citations 50 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Energy Procedia arrow_drop_down Digital Repository of NTUConference object . 2017License: © 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Data sources: Digital Repository of NTUadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Conference object 2017 SingaporePublisher:Elsevier BV Gabriele Comodi; Alessio Tafone; Yongliang Li; Alessandro Romagnoli; Emiliano Borri;Abstract This work investigates the technical and economic feasibility of a Liquid Air Energy Storage (LAES) for building demand management applications. The thermodynamics and processes of the LAES configuration, as well as the description of the daily cooling energy demand profile, are described in details and the assumptions and constrains are pointed out. The quantitative analysis has been carried out for a daily cooling energy demand of an existing office building, located in Singapore, locality characterized by a typical hot climate. A thermodynamic analysis has been carried out for LAES configuration by means of the Aspen HYSYS® process simulation code. Under the technical assumptions formulated, LAES achieves an overall round trip efficiency of 45% with a specific consumption of 0.20 kWh/kgLA. The exergy analysis shows that LAES is characterized by an exergy efficiency of 84% and 67% for the liquefaction and the discharge processes, respectively; the compressor and the power turbines account for the highest exergy losses. Finally, the economic results show that under the actual condition of peak tariff and off-peak tariff in Singapore, the investment proposed is not convenient but in case of high values of LAES round trip efficiency and lower OPT the investment may be attractive. However, future works have to deal with the limitations introduced in the analysis, such as neglecting LAES operation costs, and the uncertainty related to capital costs figures.
Energy Procedia arrow_drop_down Digital Repository of NTUConference object . 2017License: © 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Data sources: Digital Repository of NTUadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 50 citations 50 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Energy Procedia arrow_drop_down Digital Repository of NTUConference object . 2017License: © 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Data sources: Digital Repository of NTUadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV Authors: Lingkang Jin; Andrea Monforti Ferrario; Viviana Cigolotti; Gabriele Comodi;Blending hydrogen (H2) produced from PEM electrolysis coupled to Renewable Energy Sources (RES) in the existing Natural Gas (NG) network is a promising option for the deep decarbonization of the gas sector. However, blending H2 with NG significantly affects the thermophysical properties of the gas mixture, changing the gas supply requirements to meet the demand. In this work, different scenarios of green hydrogen blending (Blend Ratio BR equal to 5/10/15/20%vol) are analyzed at the national level with different temporal constraints (hour/day/week/month/year) based on real gas demand data in Italy, addressing both design requirements (RES and PEM electrolyzer capacity) via Linear Programming (LP) and carrying out dynamic simulations of different operational strategies (constant or variable blend). Although H2/NG blending provides a huge opportunity in terms of deployed H2 volume, higher BRs show rapidly increasing design requirements (1.3-1.5 GWe/%vol and 2.5-3 GWe/%vol for PEM electrolyzers and RES capacity, respectively) and a significative increase of the total gas mixture volume (0.83%/%vol) which hinders the CO2 reduction potential (0.37%/%vol). A variable blend operation strategy (allowing a variation of BR within the analyzed period) allows to balance a variable H2 production from RES. Wider temporal constraints imply several beneficial effects such as relaxing design constraints and avoiding the implementation of an external storage. The Levelized Cost Of Hydrogen (LCOH) is preliminarily estimated at around 7.3 $/kg for yearly scenarios (best-case), although shorter temporal constraints entail significant excess hydrogen which would increase the LCOH if not deployed for other applications.
Renewable and Sustai... arrow_drop_down Renewable and Sustainable Energy TransitionArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Renewable and Sustai... arrow_drop_down Renewable and Sustainable Energy TransitionArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022Publisher:Elsevier BV Authors: Lingkang Jin; Andrea Monforti Ferrario; Viviana Cigolotti; Gabriele Comodi;Blending hydrogen (H2) produced from PEM electrolysis coupled to Renewable Energy Sources (RES) in the existing Natural Gas (NG) network is a promising option for the deep decarbonization of the gas sector. However, blending H2 with NG significantly affects the thermophysical properties of the gas mixture, changing the gas supply requirements to meet the demand. In this work, different scenarios of green hydrogen blending (Blend Ratio BR equal to 5/10/15/20%vol) are analyzed at the national level with different temporal constraints (hour/day/week/month/year) based on real gas demand data in Italy, addressing both design requirements (RES and PEM electrolyzer capacity) via Linear Programming (LP) and carrying out dynamic simulations of different operational strategies (constant or variable blend). Although H2/NG blending provides a huge opportunity in terms of deployed H2 volume, higher BRs show rapidly increasing design requirements (1.3-1.5 GWe/%vol and 2.5-3 GWe/%vol for PEM electrolyzers and RES capacity, respectively) and a significative increase of the total gas mixture volume (0.83%/%vol) which hinders the CO2 reduction potential (0.37%/%vol). A variable blend operation strategy (allowing a variation of BR within the analyzed period) allows to balance a variable H2 production from RES. Wider temporal constraints imply several beneficial effects such as relaxing design constraints and avoiding the implementation of an external storage. The Levelized Cost Of Hydrogen (LCOH) is preliminarily estimated at around 7.3 $/kg for yearly scenarios (best-case), although shorter temporal constraints entail significant excess hydrogen which would increase the LCOH if not deployed for other applications.
Renewable and Sustai... arrow_drop_down Renewable and Sustainable Energy TransitionArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Renewable and Sustai... arrow_drop_down Renewable and Sustainable Energy TransitionArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.rset.2022.100022&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2014Publisher:Elsevier BV Authors: Flavio Caresana; Massimiliano Renzi; Leonardo Pelagalli; Gabriele Comodi;Abstract This paper describes a test bench that has been designed to implement the fogging inlet air cooling technique to a 100 kWe Microturbine (MGT) and reports the power and efficiency increase of the machine. Indeed, one of the main issues of MGTs, which has also been observed and documented in large sized gas turbines, is their strong sensibility to inlet air temperature. One of the most interesting technology in terms of low plant complexity to limit the MGTs performance loss is the high pressure fogging. Although cooling down the inlet air temperature with this technique has already been analyzed for medium/large gas turbines systems, there are very limited reports available on MGTs and few experimental data are documented. Results show that the machine’s electric power gain depends on ambient humidity and it ranges from 5% to 13% (corresponding to an inlet temperature drop between 4 and 10 °C) in the location where the plant is installed. Power enhancement corresponds to 1.03 kW for each Celsius degree of inlet air temperature reduction. As regards the electric conversion efficiency, the increase reaches about 0.41%/°C. Being the inlet air saturation the thermodynamic limit, the absolute power and efficiency gains are the higher, the hotter and drier the climate is.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2014.08.084&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu30 citations 30 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2014.08.084&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2014Publisher:Elsevier BV Authors: Flavio Caresana; Massimiliano Renzi; Leonardo Pelagalli; Gabriele Comodi;Abstract This paper describes a test bench that has been designed to implement the fogging inlet air cooling technique to a 100 kWe Microturbine (MGT) and reports the power and efficiency increase of the machine. Indeed, one of the main issues of MGTs, which has also been observed and documented in large sized gas turbines, is their strong sensibility to inlet air temperature. One of the most interesting technology in terms of low plant complexity to limit the MGTs performance loss is the high pressure fogging. Although cooling down the inlet air temperature with this technique has already been analyzed for medium/large gas turbines systems, there are very limited reports available on MGTs and few experimental data are documented. Results show that the machine’s electric power gain depends on ambient humidity and it ranges from 5% to 13% (corresponding to an inlet temperature drop between 4 and 10 °C) in the location where the plant is installed. Power enhancement corresponds to 1.03 kW for each Celsius degree of inlet air temperature reduction. As regards the electric conversion efficiency, the increase reaches about 0.41%/°C. Being the inlet air saturation the thermodynamic limit, the absolute power and efficiency gains are the higher, the hotter and drier the climate is.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2014.08.084&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu30 citations 30 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2014.08.084&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2016Publisher:Elsevier BV Authors: Gabriele Comodi; Massimiliano Renzi; Mosè Rossi;Abstract Flare gas recovery is one of the most attractive methods to improve energy efficiency in oil refineries to decrease greenhouse gas emissions. The recovered gas is used to feed refinery processes, granting advantages in terms of fuel economy and flare stress. This paper presents the results obtained by a feasibility study of a flare gas recovery system in a real refinery; the work focused on: i) the choice and the design of the flare gas recovery system; ii) the gas treatment and reuse; iii) the economic feasibility, and the payback period. An experimental campaign has been performed to evaluate both the composition and the flow rate of the flare gas. Results showed that the flare gas had a strongly variable flow rate and composition due to the different gas species processed in refinery. A methodology for the system selection is presented: a 400 kg/h liquid ring compression device is chosen; its basic design is described as well as the chemical treatments of inert gases and hydrogen sulphide (H2S). The yearly energy recovery was estimated to be 2900 TOE, corresponding to 6600 tons of CDE (Carbon Dioxide Equivalent). Finally, an economic evaluation was carried out, showing a payback period of about 2.5 years.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.energy.2016.04.080&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu46 citations 46 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.energy.2016.04.080&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2016Publisher:Elsevier BV Authors: Gabriele Comodi; Massimiliano Renzi; Mosè Rossi;Abstract Flare gas recovery is one of the most attractive methods to improve energy efficiency in oil refineries to decrease greenhouse gas emissions. The recovered gas is used to feed refinery processes, granting advantages in terms of fuel economy and flare stress. This paper presents the results obtained by a feasibility study of a flare gas recovery system in a real refinery; the work focused on: i) the choice and the design of the flare gas recovery system; ii) the gas treatment and reuse; iii) the economic feasibility, and the payback period. An experimental campaign has been performed to evaluate both the composition and the flow rate of the flare gas. Results showed that the flare gas had a strongly variable flow rate and composition due to the different gas species processed in refinery. A methodology for the system selection is presented: a 400 kg/h liquid ring compression device is chosen; its basic design is described as well as the chemical treatments of inert gases and hydrogen sulphide (H2S). The yearly energy recovery was estimated to be 2900 TOE, corresponding to 6600 tons of CDE (Carbon Dioxide Equivalent). Finally, an economic evaluation was carried out, showing a payback period of about 2.5 years.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.energy.2016.04.080&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu46 citations 46 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.energy.2016.04.080&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017Publisher:Elsevier BV Francesco Ferracuti; Alessandro Fonti; Lucio Ciabattoni; Stefano Pizzuti; Alessia Arteconi; Lieve Helsen; Gabriele Comodi;Abstract This paper presents the comparison of three data driven models for short-term thermal behaviour prediction in a real building, part of a living smart district connected to a thermal network. The case study building is representative of most of the buildings of the tertiary sector (e.g. offices and schools) built in Italy in the 60s–70s of the 20th century. The considered building models are: three lumped element grey-box models of first, second and third order, an AutoRegressive model with eXogenous inputs (ARX) and a Nonlinear AutoRegressive network with eXogenous inputs (NARX). The models identification is performed by means of real measured data. Nevertheless the quantity and quality of the available input data, all the data driven models show good accuracy in predicting short-term behaviour of the real building both in winter and summer. Among the grey-box models, the third order one shows the best performance with a Root-Mean-Square Error (RMSE) in winter less than 0.5 °C for a prediction horizon of 1 h and a RMSE less than 1 °C for a prediction horizon of 3 h. The ARX model shows a maximum RMSE less than 0.5 °C for a prediction horizon of 1 h and a RMSE less than 0.8 °C for a prediction horizon of 3 h. The NARX network shows a maximum RMSE less than 0.5 °C for a prediction horizon of 1 h and a RMSE less than 0.9 °C for a prediction horizon of 3 h. In summer the RMSE is always lower than 0.4 °C for all the models with a 3-h prediction horizon. Other than typical control applications, the paper demonstrates that all the data driven models investigated can also be proposed as a powerful tool to detect some typologies of occupant bad behaviours and to predict the short-term flexibility of the building for demand response (DR) applications since they allow a good estimation of the building “thermal flywheel”.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2017.05.015&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 69 citations 69 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2017.05.015&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017Publisher:Elsevier BV Francesco Ferracuti; Alessandro Fonti; Lucio Ciabattoni; Stefano Pizzuti; Alessia Arteconi; Lieve Helsen; Gabriele Comodi;Abstract This paper presents the comparison of three data driven models for short-term thermal behaviour prediction in a real building, part of a living smart district connected to a thermal network. The case study building is representative of most of the buildings of the tertiary sector (e.g. offices and schools) built in Italy in the 60s–70s of the 20th century. The considered building models are: three lumped element grey-box models of first, second and third order, an AutoRegressive model with eXogenous inputs (ARX) and a Nonlinear AutoRegressive network with eXogenous inputs (NARX). The models identification is performed by means of real measured data. Nevertheless the quantity and quality of the available input data, all the data driven models show good accuracy in predicting short-term behaviour of the real building both in winter and summer. Among the grey-box models, the third order one shows the best performance with a Root-Mean-Square Error (RMSE) in winter less than 0.5 °C for a prediction horizon of 1 h and a RMSE less than 1 °C for a prediction horizon of 3 h. The ARX model shows a maximum RMSE less than 0.5 °C for a prediction horizon of 1 h and a RMSE less than 0.8 °C for a prediction horizon of 3 h. The NARX network shows a maximum RMSE less than 0.5 °C for a prediction horizon of 1 h and a RMSE less than 0.9 °C for a prediction horizon of 3 h. In summer the RMSE is always lower than 0.4 °C for all the models with a 3-h prediction horizon. Other than typical control applications, the paper demonstrates that all the data driven models investigated can also be proposed as a powerful tool to detect some typologies of occupant bad behaviours and to predict the short-term flexibility of the building for demand response (DR) applications since they allow a good estimation of the building “thermal flywheel”.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2017.05.015&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 69 citations 69 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.apenergy.2017.05.015&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021Publisher:MDPI AG Funded by:EC | MUSE GRIDSEC| MUSE GRIDSErica Corradi; Mosè Rossi; Alice Mugnini; Anam Nadeem; Gabriele Comodi; Alessia Arteconi; Danilo Salvi;doi: 10.3390/en14227783
District heating (DH) is an alternative technology to Individual Heating (IH) for satisfying end-user’s needs. This paper assesses the competitiveness of a DH network in the center of Italy from energy, environmental, and economic points of view considering both thermal power plant and end-users’ sides. On the thermal power plant side, the energy analysis considers the Primary Energy Saving (PES) and the specific energy (Esp) of the fuel actually exploited in the thermal power plant compared to its Low Heating Value (LHV), while the environmental analysis considers the avoided CO2 and the economic analysis considers the Energy Efficiency Certificates (EECs). Results showed that the current thermal power plant configuration with two boilers and a Combined Heat and Power (CHP) unit reaches a yearly PES of 21.3% as well as 1099 tCO2 avoided. From the economic analysis of the thermal power plant side, 829 EECs with an economic return of 207,222€ are obtained, while from the end-users’ side the DH network is cheaper than IH in 84.7% of the cases. Further technologies are also studied to enhance the CHP unit flexibility.
Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/22/7783/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14227783&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/22/7783/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14227783&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2021Publisher:MDPI AG Funded by:EC | MUSE GRIDSEC| MUSE GRIDSErica Corradi; Mosè Rossi; Alice Mugnini; Anam Nadeem; Gabriele Comodi; Alessia Arteconi; Danilo Salvi;doi: 10.3390/en14227783
District heating (DH) is an alternative technology to Individual Heating (IH) for satisfying end-user’s needs. This paper assesses the competitiveness of a DH network in the center of Italy from energy, environmental, and economic points of view considering both thermal power plant and end-users’ sides. On the thermal power plant side, the energy analysis considers the Primary Energy Saving (PES) and the specific energy (Esp) of the fuel actually exploited in the thermal power plant compared to its Low Heating Value (LHV), while the environmental analysis considers the avoided CO2 and the economic analysis considers the Energy Efficiency Certificates (EECs). Results showed that the current thermal power plant configuration with two boilers and a Combined Heat and Power (CHP) unit reaches a yearly PES of 21.3% as well as 1099 tCO2 avoided. From the economic analysis of the thermal power plant side, 829 EECs with an economic return of 207,222€ are obtained, while from the end-users’ side the DH network is cheaper than IH in 84.7% of the cases. Further technologies are also studied to enhance the CHP unit flexibility.
Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/22/7783/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14227783&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2021License: CC BYFull-Text: http://www.mdpi.com/1996-1073/14/22/7783/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14227783&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu