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description Publicationkeyboard_double_arrow_right Article 2022 MalaysiaPublisher:Wiley Authors: M. S. Hossain; Laveet Kumar; M. M. Islam; Jeyraj Selvaraj;doi: 10.1155/2022/3868388
In this article, the concept of an electric vehicle (EV) as a sustainable development (SD) is discussed, and the viability of the development of electric vehicles is assessed. This study broadens the conventional definition of sustainable development by incorporating and prioritizing crucial areas of technology, environment, and policy performance. The proposed review studies have summarized the elements that can promote the integration of electric vehicle technology. The innovation of the EV has just become a modern innovation. At the same time, some obstacles, such as policy and lower adoption, are resisting its goals. To overcome this situation, electric cars have to adopt some innovative approaches that can be another path to success. The review result shows that the proposal discusses the technological advancements of electric vehicles worldwide and paves the way for further improvements. The results also mentioned technological development to reduce emissions and help us understand the impact on the environment and health benefits. However, the summary would be advantageous to both scholars and policymakers, as there is a lack of integrative reviews that assess the global demand and development of EVs simultaneously and collectively. This review would provide insight for investors and policymakers to envisage electric mobility.
Journal of Advanced ... arrow_drop_down Journal of Advanced TransportationArticle . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefUniversity of Malaya: UM Institutional RepositoryArticle . 2022Data 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.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 52 citations 52 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Journal of Advanced ... arrow_drop_down Journal of Advanced TransportationArticle . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefUniversity of Malaya: UM Institutional RepositoryArticle . 2022Data 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021Publisher:Institute of Electrical and Electronics Engineers (IEEE) Mishkat Ullah Jan; Ai Xin; Haseeb Ur Rehman; Mohamed Abdelkarim Abdelbaky; Sheeraz Iqbal; Muhammad Aurangzeb;Le système de stockage d'énergie (SSE) possède un potentiel énorme pour contrer à la fois la croissance rapide des ressources énergétiques renouvelables intermittentes (SER) et fournir un support de fréquence au micro-réseau (MG). Étant donné que le déploiement du SSE a surmonté le déséquilibre entre la production et la consommation, cependant, leur coût massif, ainsi que la tendance à la dégradation, sont les considérations restrictives qui exigent des solutions alternatives pour fournir un fonctionnement stable du micro-réseau. Pour aider l'ESS, les véhicules électriques (VE) sont intégrés au système. Les véhicules électriques sont progressivement devenus commercialement viables et une attention considérable a été accordée aux technologies de véhicule à réseau. Une collaboration appropriée entre ESS et EVS a une bonne capacité à gérer les irrégularités de fréquence pour assurer le fonctionnement efficace de la MG. Cet article présente une nouvelle combinaison de deux techniques de contrôle, à savoir le contrôle prédictif de modèle (MPC) et le contrôle adaptatif de chute (ADC), pour s'attaquer au problème de la régulation de fréquence dans la MG isolée, en contrôlant efficacement l'ESS et les EV lors de l'intégration à grande échelle des res ou d'un changement énorme de la demande de charge. Premièrement, le MPC régule l'ESS en fonction de l'écart de fréquence du système, et deuxièmement, l'ADC gère la puissance des VE selon les spécifications du système en conservant le moins d'énergie possible pour une utilisation potentielle des VE. De plus, un algorithme génétique avancé est appliqué pour ajuster les paramètres MPC et ADC afin d'obtenir des performances optimisées. Une MG isolée est modélisée et vérifiée dans MATLAB/Simulink en utilisant les techniques de contrôle susmentionnées. En outre, différentes études de cas sont prises en compte pour valider la combinaison de l'ADC et du MPC pour la régulation de fréquence d'une MG isolée. De plus, le contrôleur MPC proposé est comparé au contrôleur proportionnel-intégral (FPI) à logique floue et au contrôleur proportionnel-intégral (PI), le MPC fournit de meilleurs résultats de performance par rapport aux contrôleurs FPI et PI. El sistema de almacenamiento de energía (ESS) posee un enorme potencial para contrarrestar el rápido crecimiento de los recursos energéticos renovables intermitentes (RES) y proporcionar soporte de frecuencia a la microrred (MG). Sin embargo, dado que el despliegue de ESS ha superado el desequilibrio entre generación y consumo, su costo masivo, así como la tendencia a la degradación, son las consideraciones restrictivas que exigen soluciones alternativas para proporcionar un funcionamiento estable de la microrred. Para ayudar al ESS, los vehículos eléctricos (EV) se incorporan al sistema. Los vehículos eléctricos han sido gradualmente viables comercialmente y se ha prestado una atención considerable a las tecnologías de vehículo a red. La colaboración adecuada entre ESS y EVS tiene una buena capacidad para gestionar las irregularidades de frecuencia para garantizar el funcionamiento eficiente del MG. Este artículo presenta una combinación novedosa de dos técnicas de control, es decir, el control predictivo del modelo (MPC) y el control adaptativo de la caída (ADC), para abordar el problema de la regulación de frecuencia en la MG aislada, controlando eficazmente el ESS y los EV durante la integración a gran escala de las RES o el gran cambio en la demanda de carga. En primer lugar, el MPC regula el ESS de acuerdo con la desviación de frecuencia del sistema y, en segundo lugar, el ADC gestiona la potencia de los VE de acuerdo con las especificaciones del sistema al retener la menor potencia posible para el uso potencial de los VE. Además, se aplica un algoritmo genético avanzado para ajustar los parámetros MPC y ADC con el fin de lograr un rendimiento optimizado. Un MG aislado se modela y verifica en MATLAB/Simulink utilizando las técnicas de control mencionadas anteriormente. Además, se tienen en cuenta diferentes estudios de casos para validar la combinación de ADC y MPC para la regulación de frecuencia de una MG aislada. Además, el controlador MPC propuesto se compara con el controlador proporcional-integral (FPI) de lógica difusa y el controlador proporcional-integral (PI), el MPC proporciona mejores resultados de rendimiento en comparación con los controladores FPI y PI. Energy storage system (ESS) possesses tremendous potential to counter both the rapid growth of intermittent renewable energy resources (RESs) and provide frequency support to the microgrid (MG). Since the deployment of ESS has overcome the imbalance between generation and consumption, however, their massive cost, as well as degradation tendency, are the restricting considerations that demand alternative solutions to provide stable microgrid operation. To assist ESS, the electric vehicles (EVs) are incorporated into the system. EVs have been gradually commercially viable and considerable focus has been paid to vehicle-to-grid technologies. Appropriate collaboration between ESS and EVs has good capability to manage the frequency irregularities to ensure the efficient operation of the MG. This article presents a novel combination of two control techniques i.e., model predictive control (MPC) and adaptive droop control (ADC), to tackle the frequency regulation issue in the isolated MG, by effectively controlling the ESS and EVs during the large-scale integration of RESs or huge change in load demand. Firstly, the MPC regulates the ESS according to the system frequency deviation, and secondly, the ADC manages the power of EVs according to system specifications by retaining the least possible power for potential usage of EVs. Moreover, an advanced genetic algorithm is applied to tune the MPC and ADC parameters in order to achieve optimized performance. An isolated MG is modeled and verified in MATLAB/Simulink using the above-mentioned control techniques. Further, different case studies are taken into account to validate the combination of ADC and MPC for frequency regulation of an isolated MG. Additionally, the proposed MPC controller is compared with fuzzy logic proportional-integral (FPI) controller and proportional-integral (PI) controller, the MPC provides better performance results as compared with FPI and PI controllers. يمتلك نظام تخزين الطاقة (ESS) إمكانات هائلة لمواجهة كل من النمو السريع لموارد الطاقة المتجددة المتقطعة (RESs) وتوفير دعم التردد للشبكة الدقيقة (MG). نظرًا لأن نشر ESS قد تغلب على عدم التوازن بين التوليد والاستهلاك، فإن تكلفتها الهائلة، بالإضافة إلى ميلها إلى التدهور، هي الاعتبارات المقيدة التي تتطلب حلولًا بديلة لتوفير تشغيل مستقر للشبكة الدقيقة. لمساعدة ESS، يتم دمج المركبات الكهربائية (EVs) في النظام. أصبحت السيارات الكهربائية تدريجياً قابلة للتطبيق تجارياً وتم التركيز بشكل كبير على تقنيات النقل من مركبة إلى شبكة. التعاون المناسب بين ESS و EVs لديه قدرة جيدة على إدارة مخالفات التردد لضمان التشغيل الفعال لـ MG. تقدم هذه المقالة مزيجًا جديدًا من تقنيتي التحكم، أي نموذج التحكم التنبؤي (MPC) والتحكم في التدلي التكيفي (ADC)، لمعالجة مشكلة تنظيم التردد في MG المعزولة، من خلال التحكم الفعال في ESS و EVs أثناء التكامل واسع النطاق لـ RESs أو التغيير الهائل في الطلب على الحمل. أولاً، تنظم MPC نظام ESS وفقًا لانحراف تردد النظام، وثانيًا، تدير ADC طاقة المركبات الكهربائية وفقًا لمواصفات النظام من خلال الاحتفاظ بأقل طاقة ممكنة للاستخدام المحتمل للمركبات الكهربائية. علاوة على ذلك، يتم تطبيق خوارزمية جينية متقدمة لضبط معلمات MPC و ADC من أجل تحقيق الأداء الأمثل. يتم نمذجة MG المعزول والتحقق منه في MATLAB/Simulink باستخدام تقنيات التحكم المذكورة أعلاه. علاوة على ذلك، تؤخذ دراسات الحالة المختلفة في الاعتبار للتحقق من صحة الجمع بين ADC و MPC لتنظيم تردد MG المعزول. بالإضافة إلى ذلك، تتم مقارنة وحدة تحكم MPC المقترحة بوحدة تحكم منطقية متناسبة ومتكاملة (FPI) ووحدة تحكم متناسبة ومتكاملة (PI)، وتوفر MPC نتائج أداء أفضل مقارنة بوحدات تحكم FPI و PI.
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 Routesgold 58 citations 58 popularity Top 1% influence Top 10% impulse Top 1% 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021Embargo end date: 20 Jul 2022 Austria, United Kingdom, United Kingdom, Spain, United Kingdom, Saudi Arabia, France, Sweden, France, Sweden, Australia, France, Spain, Saudi Arabia, United Kingdom, GermanyPublisher:Cambridge University Press (CUP) Funded by:EC | COMFORT, EC | ENGAGE, EC | ERA +6 projectsEC| COMFORT ,EC| ENGAGE ,EC| ERA ,EC| CONSTRAIN ,NSERC ,EC| PROTECT ,DFG ,EC| TiPACCs ,EC| FirEUriskMartin, Maria; Sendra, Olga Alcaraz; Bastos, Ana; Bauer, Nico; Bertram, Christoph; Blenckner, Thorsten; Bowen, Kathryn; Brando, Paulo; Rudolph, Tanya Brodie; Büchs, Milena; Bustamante, Mercedes; Chen, Deliang; Cleugh, Helen; Dasgupta, Purnamita; Denton, Fatima; Donges, Jonathan; Donkor, Felix Kwabena; Duan, Hongbo; Duarte, Carlos; Ebi, Kristie; Edwards, Clea; Engel, Anja; Fisher, Eleanor; Fuss, Sabine; Gaertner, Juliana; Gettelman, Andrew; Girardin, Cécile A.J.; Golledge, Nicholas; Green, Jessica; Grose, Michael; Hashizume, Masahiro; Hebden, Sophie; Hepach, Helmke; Hirota, Marina; Hsu, Huang-Hsiung; Kojima, Satoshi; Lele, Sharachchandra; Lorek, Sylvia; Lotze, Heike; Matthews, H. Damon; Mccauley, Darren; Mebratu, Desta; Mengis, Nadine; Nolan, Rachael; Pihl, Erik; Rahmstorf, Stefan; Redman, Aaron; Reid, Colleen; Rockström, Johan; Rogelj, Joeri; Saunois, Marielle; Sayer, Lizzie; Schlosser, Peter; Sioen, Giles; Spangenberg, Joachim; Stammer, Detlef; Sterner, Thomas N.S.; Stevens, Nicola; Thonicke, Kirsten; Tian, Hanqin; Winkelmann, Ricarda; Woodcock, James; Sendra, Olga; Rudolph, Tanya; Donkor, Felix; Girardin, Cécile; Sterner, Thomas;Non-technical summaryWe summarize some of the past year's most important findings within climate change-related research. New research has improved our understanding about the remaining options to achieve the Paris Agreement goals, through overcoming political barriers to carbon pricing, taking into account non-CO2factors, a well-designed implementation of demand-side and nature-based solutions, resilience building of ecosystems and the recognition that climate change mitigation costs can be justified by benefits to the health of humans and nature alone. We consider new insights about what to expect if we fail to include a new dimension of fire extremes and the prospect of cascading climate tipping elements.Technical summaryA synthesis is made of 10 topics within climate research, where there have been significant advances since January 2020. The insights are based on input from an international open call with broad disciplinary scope. Findings include: (1) the options to still keep global warming below 1.5 °C; (2) the impact of non-CO2factors in global warming; (3) a new dimension of fire extremes forced by climate change; (4) the increasing pressure on interconnected climate tipping elements; (5) the dimensions of climate justice; (6) political challenges impeding the effectiveness of carbon pricing; (7) demand-side solutions as vehicles of climate mitigation; (8) the potentials and caveats of nature-based solutions; (9) how building resilience of marine ecosystems is possible; and (10) that the costs of climate change mitigation policies can be more than justified by the benefits to the health of humans and nature.Social media summaryHow do we limit global warming to 1.5 °C and why is it crucial? See highlights of latest climate science.
CORE arrow_drop_down COREArticle . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/179965/1/ten-new-insights-in-climate-science-2021-a-horizon-scan.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/179965/1/ten-new-insights-in-climate-science-2021-a-horizon-scan.pdfData sources: CORE (RIOXX-UK Aggregator)Global SustainabilityArticleLicense: CC BYFull-Text: https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S2059479821000259Data sources: SygmaImperial College London: SpiralArticle . 2021License: CC BYFull-Text: http://hdl.handle.net/10044/1/93398Data sources: Bielefeld Academic Search Engine (BASE)Newcastle University Library ePrints ServiceArticleLicense: CC BYFull-Text: https://eprints.ncl.ac.uk/288587Data sources: Bielefeld Academic Search Engine (BASE)King Abdullah University of Science and Technology: KAUST RepositoryArticle . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2021Full-Text: https://hal.science/hal-03448064Data sources: Bielefeld Academic Search Engine (BASE)The Nordic Africa Institute: Publications (DiVA)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2021License: CC BY NC NDFull-Text: http://hdl.handle.net/11343/301490Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledgeArticle . 2021License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2021Full-Text: https://hal.science/hal-03448064Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTASpiral - Imperial College Digital RepositoryArticle . 2021License: CC BYData sources: Spiral - Imperial College Digital RepositoryOxford University Research ArchiveArticle . 2021License: CC BY NC NDData sources: Oxford University Research ArchiveUPCommons. Portal del coneixement obert de la UPCArticle . 2021License: CC BY NC NDData sources: UPCommons. Portal del coneixement obert de la UPCDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedUniversity of Western Sydney (UWS): Research DirectArticle . 2021License: CC BYData 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.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 38 citations 38 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
visibility 32visibility views 32 download downloads 68 Powered bymore_vert CORE arrow_drop_down COREArticle . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/179965/1/ten-new-insights-in-climate-science-2021-a-horizon-scan.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/179965/1/ten-new-insights-in-climate-science-2021-a-horizon-scan.pdfData sources: CORE (RIOXX-UK Aggregator)Global SustainabilityArticleLicense: CC BYFull-Text: https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S2059479821000259Data sources: SygmaImperial College London: SpiralArticle . 2021License: CC BYFull-Text: http://hdl.handle.net/10044/1/93398Data sources: Bielefeld Academic Search Engine (BASE)Newcastle University Library ePrints ServiceArticleLicense: CC BYFull-Text: https://eprints.ncl.ac.uk/288587Data sources: Bielefeld Academic Search Engine (BASE)King Abdullah University of Science and Technology: KAUST RepositoryArticle . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2021Full-Text: https://hal.science/hal-03448064Data sources: Bielefeld Academic Search Engine (BASE)The Nordic Africa Institute: Publications (DiVA)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2021License: CC BY NC NDFull-Text: http://hdl.handle.net/11343/301490Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledgeArticle . 2021License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2021Full-Text: https://hal.science/hal-03448064Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTASpiral - Imperial College Digital RepositoryArticle . 2021License: CC BYData sources: Spiral - Imperial College Digital RepositoryOxford University Research ArchiveArticle . 2021License: CC BY NC NDData sources: Oxford University Research ArchiveUPCommons. Portal del coneixement obert de la UPCArticle . 2021License: CC BY NC NDData sources: UPCommons. Portal del coneixement obert de la UPCDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedUniversity of Western Sydney (UWS): Research DirectArticle . 2021License: CC BYData 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021Embargo end date: 01 Jan 2021 Germany, Austria, Belgium, United Kingdom, SwitzerlandPublisher:Springer Science and Business Media LLC Funded by:NSERC, EC | CONSTRAINNSERC ,EC| CONSTRAINReto Knutti; Nadine Mengis; Nadine Mengis; Karsten Haustein; Christopher J. Smith; Katarzyna B. Tokarska; H. Damon Matthews; Sebastian Sippel; Joeri Rogelj; Joeri Rogelj; Andrew H. MacDougall; Piers M. Forster;AbstractThe remaining carbon budget quantifies the future CO2emissions to limit global warming below a desired level. Carbon budgets are subject to uncertainty in the Transient Climate Response to Cumulative CO2Emissions (TCRE), as well as to non-CO2climate influences. Here we estimate the TCRE using observational constraints, and integrate the geophysical and socioeconomic uncertainties affecting the distribution of the remaining carbon budget. We estimate a median TCRE of 0.44 °C and 5–95% range of 0.32–0.62 °C per 1000 GtCO2emitted. Considering only geophysical uncertainties, our median estimate of the 1.5 °C remaining carbon budget is 440 GtCO2from 2020 onwards, with a range of 230–670 GtCO2, (for a 67–33% chance of not exceeding the target). Additional socioeconomic uncertainty related to human decisions regarding future non-CO2emissions scenarios can further shift the median 1.5 °C remaining carbon budget by ±170 GtCO2.
CORE arrow_drop_down Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/90424Data sources: Bielefeld Academic Search Engine (BASE)Communications Earth & EnvironmentArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefSpiral - Imperial College Digital RepositoryArticle . 2020License: CC BYData sources: Spiral - Imperial College Digital RepositoryVrije Universiteit Brussel Research PortalArticle . 2021Data sources: Vrije Universiteit Brussel Research PortalCommunications Earth & EnvironmentArticle . 2021 . Peer-reviewedData sources: European Union Open Data Portaladd 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=10.1038/s43247-020-00064-9&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 75 citations 75 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert CORE arrow_drop_down Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/90424Data sources: Bielefeld Academic Search Engine (BASE)Communications Earth & EnvironmentArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefSpiral - Imperial College Digital RepositoryArticle . 2020License: CC BYData sources: Spiral - Imperial College Digital RepositoryVrije Universiteit Brussel Research PortalArticle . 2021Data sources: Vrije Universiteit Brussel Research PortalCommunications Earth & EnvironmentArticle . 2021 . Peer-reviewedData sources: European Union Open Data Portaladd 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 , Other literature type 2023 NorwayPublisher:Elsevier BV Weisong Wang; Wenjing Sun; Usama Awan; Abdelmohsen A. Nassani; Rima H. Binsaeed; Khalid Zaman;Résumé Le fret aérien reste vital dans les activités économiques pour transporter des marchandises d'un endroit à un autre. Les pays développés et en développement considèrent principalement les itinéraires de transaction pour le transport aérien comme le mode le plus sûr et le plus rapide. L'économie chinoise attire le monde entier grâce à ses exportations. Le système de fret aérien du pays dépend principalement de l'essence et des carburants à base de pétrole, ce qui nuit au programme de transport vert du pays. La forte utilisation de la combustion de carburant dans le secteur de l'aviation nécessitait des investissements nouveaux qui aident à utiliser l'énergie verte comme carburant alternatif durable. En outre, une assurance aviation durable et une couverture financière sont nécessaires pour atténuer les externalités négatives des opérations de fret aérien. Sur la base des faits cruciaux, l'étude a utilisé les opérations de fret aérien, la combustion des carburants de transport, les investissements privés dans le transport et la couverture d'assurance dans la fonction de dommages dus à la pollution pour l'économie chinoise en utilisant des données de 1975 à 2020. La recherche a utilisé une stratégie de test des limites ARDL non linéaire pour décomposer la séquence de variables en multiplicateurs dynamiques positifs et négatifs. Il a été démontré que les chocs positifs dans le fret aérien, les services d'assurance et les investissements nouveaux réduisent les émissions de carbone immédiatement et à long terme. À court terme, les dommages liés au carbone sont exacerbés par les chocs négatifs résultant de l'utilisation de carburant pour le transport et de la disponibilité d'une assurance. De plus, les chocs positifs et négatifs associés à la combustion des carburants de transport et au fret aérien contribuent à une augmentation des dommages causés par le carbone. L'analyse de décomposition de la variance a validé les corrélations asymétriques entre les variables susmentionnées dans l'environnement intertemporel. Sur la base des résultats, les chocs négatifs dus à la combustion totale de carburant devraient imposer les plus grands dommages au carbone au cours de la prochaine décennie, suivis des services d'assurance et des opérations de fret aérien. L'étude conclut que les opérations de fret aérien doivent être des routes de transaction durables alimentées par des sources d'énergie biocarburant, des investissements nouveaux et une couverture d'assurance aviation durable pour atteindre le programme de transport « vert et propre ». Resumen La carga aérea sigue siendo vital en las actividades económicas para transportar mercancías de un lugar a otro. Los países desarrollados y en desarrollo consideran principalmente las rutas de transacción para el transporte aéreo como el modo más seguro y rápido. La economía china está atrayendo al mundo global a través de sus exportaciones. El sistema de carga aérea del país depende principalmente de la gasolina y los combustibles derivados del petróleo, lo que perjudica la agenda de transporte verde del país. El alto uso de quemas de combustible en el sector de la aviación requería una inversión totalmente nueva que ayudara a utilizar la energía verde como combustible sostenible alternativo. Además, se necesitan seguros de aviación sostenibles y cobertura financiera para mitigar las externalidades negativas adversas de las operaciones de carga aérea. Con base en los hechos cruciales, el estudio utilizó operaciones de carga aérea, quemas de combustible de transporte, inversión privada en el transporte y cobertura de seguros en la función de daños por contaminación para la economía de China utilizando datos de 1975 a 2020. La investigación empleó una estrategia de prueba de límites ARDL no lineal para desglosar la secuencia de variables en multiplicadores dinámicos positivos y negativos. Se ha demostrado que los choques positivos en el transporte aéreo, los servicios de seguros y la inversión en nuevas instalaciones reducen las emisiones de carbono de inmediato y a largo plazo. A corto plazo, los daños por carbono se ven exacerbados por los choques negativos resultantes del uso de combustible para el transporte y la disponibilidad de seguros. Además, tanto los choques positivos como los negativos asociados con las quemas de combustible para el transporte y los fletes de transporte aéreo contribuyen a un aumento en el daño por carbono. El análisis de descomposición de varianza validó las correlaciones asimétricas entre las variables antes mencionadas en el entorno intertemporal. Según los hallazgos, se espera que los choques negativos de las quemas totales de combustible impongan los mayores daños de carbono durante la próxima década, seguidos por los servicios de seguros y las operaciones de transporte aéreo. El estudio concluye que las operaciones de carga aérea deben ser rutas de transacción sostenibles alimentadas por fuentes de energía de biocombustibles, inversión en nuevas instalaciones y cobertura de seguro de aviación sostenible para lograr la agenda de transporte "verde es limpio". Abstract Aviation cargo remains vital in the economic activities to transported goods from one place to another. The developed and developing countries mainly consider the transaction routes for air transportation for safe and quickest mode. Chinese economy is attracting the global World through its exports. The country's air cargo system is mainly reliant on gasoline and petroleum-based fuels, which harms the country's green transportation agenda. The high use of fuel combustions in the aviation sector needed greenfield investment that helps to use green energy as an alternative sustainable fuel. Further, sustainable aviation insurance and financial coverage are needed to mitigate the adverse negative externalities from air cargo operations. Based on the crucial facts, the study used air cargo operations, transportation fuel combustions, private investment in the transportation and insurance coverage in the pollution damage function for the China economy using data from 1975 to 2020. The research employed a non-linear ARDL Bounds testing strategy to break down the sequence of variables into dynamic positive and negative multipliers. Positive shocks in air freight, insurance services, and greenfield investment have been shown to reduce carbon emissions immediately and over the long term. In the short term, carbon damages are exacerbated by the negative shocks resulting from the use of transportation fuel and the availability of insurance. Moreover, both the positive and negative shocks associated with transportation fuel combustions and air transportation freights contribute to a rise in carbon damage. The variance decomposition analysis validated the asymmetric correlations between the aforementioned variables in the intertemporal environment. Based on the findings, negative shocks from total fuel combustions are expected to impose the greatest carbon damages over the next decade, followed by insurance services and air freight operations. The study concludes that air cargo operations need to be sustainable transacting routes fueled by biofuel energy sources, greenfield investment, and sustainable aviation insurance coverage to achieve the 'green is clean' transportation agenda. الملخص تظل شحنات الطيران حيوية في الأنشطة الاقتصادية لنقل البضائع من مكان إلى آخر. تنظر البلدان المتقدمة والنامية بشكل أساسي في طرق المعاملات للنقل الجوي من أجل وضع آمن وأسرع. يجذب الاقتصاد الصيني العالم العالمي من خلال صادراته. يعتمد نظام الشحن الجوي في البلاد بشكل أساسي على البنزين والوقود القائم على النفط، مما يضر بجدول أعمال النقل الأخضر في البلاد. احتاج الاستخدام المرتفع لاحتراق الوقود في قطاع الطيران إلى استثمارات جديدة تساعد على استخدام الطاقة الخضراء كوقود بديل مستدام. علاوة على ذلك، هناك حاجة إلى تأمين طيران مستدام وتغطية مالية للتخفيف من الآثار الخارجية السلبية السلبية لعمليات الشحن الجوي. استنادًا إلى الحقائق الحاسمة، استخدمت الدراسة عمليات الشحن الجوي، واحتراق وقود النقل، والاستثمار الخاص في النقل والتغطية التأمينية في وظيفة أضرار التلوث للاقتصاد الصيني باستخدام البيانات من 1975 إلى 2020. استخدم البحث استراتيجية اختبار حدود ARDL غير الخطية لتقسيم تسلسل المتغيرات إلى مضاعفات إيجابية وسلبية ديناميكية. وقد ثبت أن الصدمات الإيجابية في الشحن الجوي وخدمات التأمين والاستثمار في المجالات الجديدة تقلل من انبعاثات الكربون على الفور وعلى المدى الطويل. على المدى القصير، تتفاقم أضرار الكربون بسبب الصدمات السلبية الناتجة عن استخدام وقود النقل وتوافر التأمين. علاوة على ذلك، تساهم كل من الصدمات الإيجابية والسلبية المرتبطة باحتراق وقود النقل وشحنات النقل الجوي في ارتفاع أضرار الكربون. تحقق تحليل تحليل التباين من صحة الارتباطات غير المتماثلة بين المتغيرات المذكورة أعلاه في البيئة الزمنية. بناءً على النتائج، من المتوقع أن تفرض الصدمات السلبية الناجمة عن إجمالي احتراق الوقود أكبر أضرار الكربون على مدى العقد المقبل، تليها خدمات التأمين وعمليات الشحن الجوي. وخلصت الدراسة إلى أن عمليات الشحن الجوي يجب أن تكون طرق معاملات مستدامة تغذيها مصادر طاقة الوقود الحيوي، والاستثمار في المجالات الجديدة، وتغطية تأمين الطيران المستدامة لتحقيق أجندة النقل "الأخضر نظيف".
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.heliyon.2023.e19013&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 5 citations 5 popularity Average influence Average 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:MDPI AG Anam Nadeem; Mosè Rossi; Erica Corradi; Lingkang Jin; Gabriele Comodi; Nadeem Ahmed Sheikh;doi: 10.3390/en15093054
Energy-environmental planning for road transportation involves a vast investigation of vehicles’ technologies and electricity production. However, in developing countries where the public transportation sector is growing quickly, energy-environmental planning is urgently needed. This paper evaluates the future electricity demand, as well as fuel consumption and CO2 emissions reduction, due to the operation of an expected increasing number of electric vehicles (EVs) in Pakistan. The planning of EVs up to 2040 is performed with the ePop simulator that calculates the future EVs’ electricity demand, while EnergyPLAN® assesses the expected new power capacities. Two scenarios are investigated by penetrating 30% and 90% of 2/3 electric wheelers and cars by 2030 and 2040 compared to 2020, respectively. To fulfill the expected energy demand, PV in the daytime and the national electric grid at nighttime are here considered. Finally, a 9 GW of PV capacity is needed to satisfy the EVs’ electricity demand of 14.7 TWh/year, and a 0.7 GW power plants capacity is needed to fulfill 4.7 TWh/year by 2040. Consequently, EVs’ charging scenarios at daytime and nighttime are assessed. Results indicated a total reduction of 10.4 Mtonnes of CO2 emissions and 9.1 Mtoe of fuel consumption by 2040 in the transportation sector.
Energies arrow_drop_down EnergiesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/1996-1073/15/9/3054/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/en15093054&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 11 citations 11 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/1996-1073/15/9/3054/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/en15093054&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 2016 AustraliaPublisher:Springer International Publishing Authors: Javed, Muhamed Awais; Khan, Jamil Yusef; Ngo, Duy Trong;handle: 1959.13/1349132
Electric vehicles (EVs) are an integral part of the future transportation systems due to enhanced fuel and energy conversion efficiency. The success of electric vehicle technology requires an efficient charging management system that ensures their timely fueling. To support such a service, vehicular ad hoc networks can be used to implement an information system for EV energy management. For this purpose, it is essential for the electric vehicles to reliably and timely exchange information with the information/control servers using infrastructure nodes (INs) deployed at different geographical locations. As the INs may be located farther away from the vehicles, robust multi-hop packet transmissions are required. In this chapter, we present the design considerations for an information system for EV energy management. We propose a vehicle-to-infrastructure and infrastructure-to-vehicle (V2I-I2V) information transmission system that efficiently delivers packets for EV energy management services by mitigating the broadcast storm and hidden node problems. Moreover, the proposed system provides a signaling mechanism to select the shortest path for the downlink I2V transmissions, a challenging task due to the mobile nature of vehicles. Simulation results show that the developed system offers a low delay and reduced number of packet transmissions for different vehicle densities and mobility conditions.
https://doi.org/10.1... arrow_drop_down https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2016 . Peer-reviewedLicense: Springer 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=10.1007/978-3-319-27568-0_14&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert https://doi.org/10.1... arrow_drop_down https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2016 . Peer-reviewedLicense: Springer 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=10.1007/978-3-319-27568-0_14&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:MDPI AG Authors: Sarmad Ali; Muhammad Mahabat Khan; Muhammad Irfan;doi: 10.3390/wevj15020042
The rapid increase in emissions and the depletion of fossil fuels have led to a rapid rise in the electric vehicle (EV) industry. Electric vehicles predominantly rely on lithium-ion batteries (LIBs) to power their electric motors. However, the charging and discharging processes of LIB packs generate heat, resulting in a significant decline in the battery performance of EVs. Consequently, there is a pressing need for effective battery thermal management systems (BTMSs) for lithium-ion batteries in EVs. In the current study, a novel experimental BTMS was developed for the thermal performance enhancement of an LIB pack comprising 2 × 2 cells. Three distinct fin configurations (circular, rectangular, and tapered) were integrated for the outer wall of the lithium-ion cells. Additionally, the cells were fully submerged in phase change material (PCM). The study considered 1C, 2C, and 3C cell discharge rates, affiliated with their corresponding volumetric heat generation rates. The combination of rectangular fins and PCM manifested superior performance, reducing the mean cell temperature by 29.71% and 28.36% compared to unfinned lithium-ion cells under ambient conditions at the 1C and 2C discharge rates. Furthermore, at the 3C discharge rate, lithium-ion cells equipped with rectangular fins demonstrated a delay of 40 min in reaching the maximum surface temperature of 40 °C compared to the unfinned ambient case. After 60 min of battery discharge at the 3C rate, the cell surface temperature of the rectangular fin case only reached 42.7 °C. Furthermore, numerical simulations showed that the Nusselt numbers for lithium-ion cells with rectangular fins improved by 9.72% compared to unfinned configurations at the 3C discharge rate.
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=10.3390/wevj15020042&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 5 citations 5 popularity Average influence Average 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=10.3390/wevj15020042&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019 United Kingdom, United Kingdom, United Kingdom, GermanyPublisher:Copernicus GmbH Funded by:UKRI | Characterisation of elect..., UKRI | Structural Dynamics in LO..., UKRI | Advancing Biotechnologies...UKRI| Characterisation of electron transport in bacterial nano-wire proteins through high performance computing and experimentation ,UKRI| Structural Dynamics in LOV Domain Photosensor Proteins ,UKRI| Advancing Biotechnologies for Fuel Generation: Exploiting Transmembrane Cytochromes for Solar Energy ConversionThomas J. Browning; Thomas J. Browning; Heather A. Bouman; Robyn E. Tuerena; Raja S. Ganeshram; Matthew P. Humphreys; Matthew P. Humphreys; Alexander P. Piotrowski;Abstract. The stable isotopic composition of particulate organic carbon (δ13CPOC) in the surface waters of the global ocean can vary with the aqueous CO2 concentration ([CO2(aq)]) and affects the trophic transfer of carbon isotopes in the marine food web. Other factors such as cell size, growth rate and carbon concentrating mechanisms decouple this observed correlation. Here, the variability in δ13CPOC is investigated in surface waters across the south subtropical convergence (SSTC) in the Atlantic Ocean, to determine carbon isotope fractionation (εp) by phytoplankton and the contrasting mechanisms of carbon uptake in the subantarctic and subtropical water masses. Our results indicate that cell size is the primary determinant of δ13CPOC across the Atlantic SSTC in summer. Combining cell size estimates with CO2 concentrations, we can accurately estimate εp within the varying surface water masses in this region. We further utilize these results to investigate future changes in εp with increased anthropogenic carbon availability. Our results suggest that smaller cells, which are prevalent in the subtropical ocean, will respond less to increased [CO2(aq)] than the larger cells found south of the SSTC and in the wider Southern Ocean. In the subantarctic water masses, isotopic fractionation during carbon uptake will likely increase, both with increasing CO2 availability to the cell, but also if increased stratification leads to decreases in average community cell size. Coupled with decreasing δ13C of [CO2(aq)] due to anthropogenic CO2 emissions, this change in isotopic fractionation and lowering of δ13CPOC may propagate through the marine food web, with implications for the use of δ13CPOC as a tracer of dietary sources in the marine environment.
CORE arrow_drop_down University of East Anglia digital repositoryArticle . 2019 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversity of East Anglia: UEA Digital RepositoryArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/bg-201...Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefOxford University Research ArchiveArticle . 2019License: CC BYData sources: Oxford University Research Archiveadd 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=10.5194/bg-16-3621-2019&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert CORE arrow_drop_down University of East Anglia digital repositoryArticle . 2019 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversity of East Anglia: UEA Digital RepositoryArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/bg-201...Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefOxford University Research ArchiveArticle . 2019License: CC BYData sources: Oxford University Research Archiveadd 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=10.5194/bg-16-3621-2019&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021Publisher:Elsevier BV Authors: Abdul Manan; Khurram Kamal; Tahir Abdul Hussain Ratlamwala; Muhammad Fahad Sheikh; +2 AuthorsAbdul Manan; Khurram Kamal; Tahir Abdul Hussain Ratlamwala; Muhammad Fahad Sheikh; Abdul Ghani Abro; Tayyab Zafar;Gas pipelines are often subjected to various kinds of damages such as corrosion, welding failure, and excavation damages, due to harsh environmental conditions. The failure in gas pipelines may lead to catastrophic damages such as human life loss, economic loss, etc. Predicting pipeline health is of critical importance to avoid these damages. In this study, 875 incidents are extracted from US DOT PHMSA from 2002 to 2020. For each of the incident, different parameters such as Age, NPS, Wall Thickness, Material, Operating Pressure, Location, and Area is analyzed. Two supervised learning techniques Artificial Neural Networks and Support Vector Machine are used to predict and classify different natural gas pipeline failures i.e. Corrosion, Pipeline Material, or Weld Failure and Excavation Damage by using actual pipeline incident data. One-Way ANOVA F-test is used to select the important features of the input dataset. The supervised models (Backpropagation Neural Network and SVM) are trained and tested on the input data. The performance of the models is assessed based on accurate predictions made by the trained models on the testing dataset. It is observed that Medium Gaussian SVM integrated with ANOVA (and Holdout cross-validation) performs better than other algorithms and yields 74.8% accuracy. Gas pipelines are often subjected to various kinds of damages such as corrosion, welding failure, and excavation damages, due to harsh environmental conditions. The failure in gas pipelines may lead to catastrophic damages like human life loss, economic loss, etc. Predicting pipeline health is of critical importance to avoid these damages. In this study, 875 incidents are extracted from US DOT PHMSA from 2002 to 2020. For each of the incident, different parameters such as Age, NPS, Wall Thickness, Material, Operating Pressure, Location, and Area is analyzed. Two supervised learning techniques Artificial Neural Networks and Support Vector Machine are used to predict and classify different natural gas pipeline failures i.e. Corrosion, Pipeline Material, or Weld Failure and Excavation Damage by using actuel pipeline incident data. One-Way ANOVA F-test is used to select the important features of the input dataset. The supervised models (Backpropagation Neural Network and SVM) are trained and tested on the input data. The performance of the models is assessed based on precisate predictions made by the trained models on the testing dataset. It is observed that Medium Gaussian SVM integrated with ANOVA (and Holdout cross-validation) performs better than other algorithms and yields 74.8% accuracy. Gas pipelines are often subjected to various kinds of damages such as corrosion, welding failure, and excavation damages, due to harsh environmental conditions. The failure in gas pipelines may lead to catastrophic damages like human life loss, economic loss, etc. Predicting pipeline health is of critical importance to avoid these damages. In this study, 875 incidents are extracted from US DOT PHMSA from 2002 to 2020. For each of the incident, different parameters such as Age, NPS, Wall Thickness, Material, Operating Pressure, Location, and Area is analyzed. Two supervised learning techniques Artificial Neural Networks and Support Vector Machine are used to predict and classify different natural gas pipeline failures i.e. Corrosion, Pipeline Material, or Weld Failure and Excavation Damage by using actual pipeline incident data. One-Way ANOVA F-test is used to select the important features of the input dataset. The supervised models (Backpropagation Neural Network and SVM) are trained and tested on the input data. The performance of the models is assessed based on accurate predictions made by the trained models on the testing dataset. It is observed that Medium Gaussian SVM integrated with ANOVA (and Holdout cross-validation) performs better than other algorithms and yields 74.8% accuracy. Gas pipelines are often subjected to various kinds of damages such as corrosion, welding failure, and excavation damages, due to harsh environmental conditions. The failure in gas pipelines may lead to catastrophic damages like human life loss, economic loss, etc. Predicting pipeline health is of critical importance to avoid these damages. In this study, 875 incidents are extracted from US DOT PHMSA from 2002 to 2020. For each of the incident, different parameters such as Age, NPS, Wall Thickness, Material, Operating Pressure, Location, and Area is analyzed. Two supervised learning techniques Artificial Neural Networks and Support Vector Machine are used to predict and classify different natural gas pipeline failures i.e. Corrosion, Pipeline Material, or Weld Failure and Excavation Damage by using actual pipeline incident data. One-Way ANOVA F-test is used to select the important features of the input dataset. The supervised models (Backpropagation Neural Network and SVM) are trained and tested on the input data. The performance of the models is assessed based on accurate predictions made by the trained models on the testing dataset. It is observed that Medium Gaussian SVM integrated with ANOVA (and Holdout cross-validation) performs better than other algorithms and yields 74.8% accuracy. غالبًا ما تتعرض خطوط أنابيب الغاز لأنواع مختلفة من الأضرار مثل التآكل وفشل اللحام وأضرار الحفر، بسبب الظروف البيئية القاسية. قد يؤدي الفشل في خطوط أنابيب الغاز إلى أضرار كارثية مثل الخسائر في الأرواح البشرية والخسائر الاقتصادية وما إلى ذلك. يعد التنبؤ بصحة خط الأنابيب أمرًا بالغ الأهمية لتجنب هذه الأضرار. في هذه الدراسة، تم استخراج 875 حادثة من وزارة النقل الأمريكية PHMSA من 2002 إلى 2020. لكل حادث، يتم تحليل معلمات مختلفة مثل العمر، NPS، سمك الجدار، المواد، ضغط التشغيل، الموقع، والمنطقة. يتم استخدام تقنيتين للتعلم الخاضع للإشراف وهما الشبكات العصبية الاصطناعية وآلة ناقلات الدعم للتنبؤ وتصنيف أعطال خطوط أنابيب الغاز الطبيعي المختلفة مثل التآكل أو مواد خطوط الأنابيب أو أعطال اللحام وأضرار الحفر باستخدام بيانات حوادث خطوط الأنابيب الفعلية. يُستخدم اختبار F - TEST أحادي الاتجاه لتحديد الميزات المهمة لمجموعة بيانات الإدخال. يتم تدريب النماذج الخاضعة للإشراف (الشبكة العصبية للانتشار الخلفي و SVM) واختبارها على بيانات الإدخال. يتم تقييم أداء النماذج بناءً على التنبؤات الدقيقة التي قدمتها النماذج المدربة على مجموعة بيانات الاختبار. لوحظ أن SVM الغاوسي المتوسط المدمج مع ANOVA (والتحقق المتبادل من القابضة) يعمل بشكل أفضل من الخوارزميات الأخرى ويحقق دقة 74.8 ٪.
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description Publicationkeyboard_double_arrow_right Article 2022 MalaysiaPublisher:Wiley Authors: M. S. Hossain; Laveet Kumar; M. M. Islam; Jeyraj Selvaraj;doi: 10.1155/2022/3868388
In this article, the concept of an electric vehicle (EV) as a sustainable development (SD) is discussed, and the viability of the development of electric vehicles is assessed. This study broadens the conventional definition of sustainable development by incorporating and prioritizing crucial areas of technology, environment, and policy performance. The proposed review studies have summarized the elements that can promote the integration of electric vehicle technology. The innovation of the EV has just become a modern innovation. At the same time, some obstacles, such as policy and lower adoption, are resisting its goals. To overcome this situation, electric cars have to adopt some innovative approaches that can be another path to success. The review result shows that the proposal discusses the technological advancements of electric vehicles worldwide and paves the way for further improvements. The results also mentioned technological development to reduce emissions and help us understand the impact on the environment and health benefits. However, the summary would be advantageous to both scholars and policymakers, as there is a lack of integrative reviews that assess the global demand and development of EVs simultaneously and collectively. This review would provide insight for investors and policymakers to envisage electric mobility.
Journal of Advanced ... arrow_drop_down Journal of Advanced TransportationArticle . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefUniversity of Malaya: UM Institutional RepositoryArticle . 2022Data 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 Routesgold 52 citations 52 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Journal of Advanced ... arrow_drop_down Journal of Advanced TransportationArticle . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefUniversity of Malaya: UM Institutional RepositoryArticle . 2022Data 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 , Other literature type , Journal 2021Publisher:Institute of Electrical and Electronics Engineers (IEEE) Mishkat Ullah Jan; Ai Xin; Haseeb Ur Rehman; Mohamed Abdelkarim Abdelbaky; Sheeraz Iqbal; Muhammad Aurangzeb;Le système de stockage d'énergie (SSE) possède un potentiel énorme pour contrer à la fois la croissance rapide des ressources énergétiques renouvelables intermittentes (SER) et fournir un support de fréquence au micro-réseau (MG). Étant donné que le déploiement du SSE a surmonté le déséquilibre entre la production et la consommation, cependant, leur coût massif, ainsi que la tendance à la dégradation, sont les considérations restrictives qui exigent des solutions alternatives pour fournir un fonctionnement stable du micro-réseau. Pour aider l'ESS, les véhicules électriques (VE) sont intégrés au système. Les véhicules électriques sont progressivement devenus commercialement viables et une attention considérable a été accordée aux technologies de véhicule à réseau. Une collaboration appropriée entre ESS et EVS a une bonne capacité à gérer les irrégularités de fréquence pour assurer le fonctionnement efficace de la MG. Cet article présente une nouvelle combinaison de deux techniques de contrôle, à savoir le contrôle prédictif de modèle (MPC) et le contrôle adaptatif de chute (ADC), pour s'attaquer au problème de la régulation de fréquence dans la MG isolée, en contrôlant efficacement l'ESS et les EV lors de l'intégration à grande échelle des res ou d'un changement énorme de la demande de charge. Premièrement, le MPC régule l'ESS en fonction de l'écart de fréquence du système, et deuxièmement, l'ADC gère la puissance des VE selon les spécifications du système en conservant le moins d'énergie possible pour une utilisation potentielle des VE. De plus, un algorithme génétique avancé est appliqué pour ajuster les paramètres MPC et ADC afin d'obtenir des performances optimisées. Une MG isolée est modélisée et vérifiée dans MATLAB/Simulink en utilisant les techniques de contrôle susmentionnées. En outre, différentes études de cas sont prises en compte pour valider la combinaison de l'ADC et du MPC pour la régulation de fréquence d'une MG isolée. De plus, le contrôleur MPC proposé est comparé au contrôleur proportionnel-intégral (FPI) à logique floue et au contrôleur proportionnel-intégral (PI), le MPC fournit de meilleurs résultats de performance par rapport aux contrôleurs FPI et PI. El sistema de almacenamiento de energía (ESS) posee un enorme potencial para contrarrestar el rápido crecimiento de los recursos energéticos renovables intermitentes (RES) y proporcionar soporte de frecuencia a la microrred (MG). Sin embargo, dado que el despliegue de ESS ha superado el desequilibrio entre generación y consumo, su costo masivo, así como la tendencia a la degradación, son las consideraciones restrictivas que exigen soluciones alternativas para proporcionar un funcionamiento estable de la microrred. Para ayudar al ESS, los vehículos eléctricos (EV) se incorporan al sistema. Los vehículos eléctricos han sido gradualmente viables comercialmente y se ha prestado una atención considerable a las tecnologías de vehículo a red. La colaboración adecuada entre ESS y EVS tiene una buena capacidad para gestionar las irregularidades de frecuencia para garantizar el funcionamiento eficiente del MG. Este artículo presenta una combinación novedosa de dos técnicas de control, es decir, el control predictivo del modelo (MPC) y el control adaptativo de la caída (ADC), para abordar el problema de la regulación de frecuencia en la MG aislada, controlando eficazmente el ESS y los EV durante la integración a gran escala de las RES o el gran cambio en la demanda de carga. En primer lugar, el MPC regula el ESS de acuerdo con la desviación de frecuencia del sistema y, en segundo lugar, el ADC gestiona la potencia de los VE de acuerdo con las especificaciones del sistema al retener la menor potencia posible para el uso potencial de los VE. Además, se aplica un algoritmo genético avanzado para ajustar los parámetros MPC y ADC con el fin de lograr un rendimiento optimizado. Un MG aislado se modela y verifica en MATLAB/Simulink utilizando las técnicas de control mencionadas anteriormente. Además, se tienen en cuenta diferentes estudios de casos para validar la combinación de ADC y MPC para la regulación de frecuencia de una MG aislada. Además, el controlador MPC propuesto se compara con el controlador proporcional-integral (FPI) de lógica difusa y el controlador proporcional-integral (PI), el MPC proporciona mejores resultados de rendimiento en comparación con los controladores FPI y PI. Energy storage system (ESS) possesses tremendous potential to counter both the rapid growth of intermittent renewable energy resources (RESs) and provide frequency support to the microgrid (MG). Since the deployment of ESS has overcome the imbalance between generation and consumption, however, their massive cost, as well as degradation tendency, are the restricting considerations that demand alternative solutions to provide stable microgrid operation. To assist ESS, the electric vehicles (EVs) are incorporated into the system. EVs have been gradually commercially viable and considerable focus has been paid to vehicle-to-grid technologies. Appropriate collaboration between ESS and EVs has good capability to manage the frequency irregularities to ensure the efficient operation of the MG. This article presents a novel combination of two control techniques i.e., model predictive control (MPC) and adaptive droop control (ADC), to tackle the frequency regulation issue in the isolated MG, by effectively controlling the ESS and EVs during the large-scale integration of RESs or huge change in load demand. Firstly, the MPC regulates the ESS according to the system frequency deviation, and secondly, the ADC manages the power of EVs according to system specifications by retaining the least possible power for potential usage of EVs. Moreover, an advanced genetic algorithm is applied to tune the MPC and ADC parameters in order to achieve optimized performance. An isolated MG is modeled and verified in MATLAB/Simulink using the above-mentioned control techniques. Further, different case studies are taken into account to validate the combination of ADC and MPC for frequency regulation of an isolated MG. Additionally, the proposed MPC controller is compared with fuzzy logic proportional-integral (FPI) controller and proportional-integral (PI) controller, the MPC provides better performance results as compared with FPI and PI controllers. يمتلك نظام تخزين الطاقة (ESS) إمكانات هائلة لمواجهة كل من النمو السريع لموارد الطاقة المتجددة المتقطعة (RESs) وتوفير دعم التردد للشبكة الدقيقة (MG). نظرًا لأن نشر ESS قد تغلب على عدم التوازن بين التوليد والاستهلاك، فإن تكلفتها الهائلة، بالإضافة إلى ميلها إلى التدهور، هي الاعتبارات المقيدة التي تتطلب حلولًا بديلة لتوفير تشغيل مستقر للشبكة الدقيقة. لمساعدة ESS، يتم دمج المركبات الكهربائية (EVs) في النظام. أصبحت السيارات الكهربائية تدريجياً قابلة للتطبيق تجارياً وتم التركيز بشكل كبير على تقنيات النقل من مركبة إلى شبكة. التعاون المناسب بين ESS و EVs لديه قدرة جيدة على إدارة مخالفات التردد لضمان التشغيل الفعال لـ MG. تقدم هذه المقالة مزيجًا جديدًا من تقنيتي التحكم، أي نموذج التحكم التنبؤي (MPC) والتحكم في التدلي التكيفي (ADC)، لمعالجة مشكلة تنظيم التردد في MG المعزولة، من خلال التحكم الفعال في ESS و EVs أثناء التكامل واسع النطاق لـ RESs أو التغيير الهائل في الطلب على الحمل. أولاً، تنظم MPC نظام ESS وفقًا لانحراف تردد النظام، وثانيًا، تدير ADC طاقة المركبات الكهربائية وفقًا لمواصفات النظام من خلال الاحتفاظ بأقل طاقة ممكنة للاستخدام المحتمل للمركبات الكهربائية. علاوة على ذلك، يتم تطبيق خوارزمية جينية متقدمة لضبط معلمات MPC و ADC من أجل تحقيق الأداء الأمثل. يتم نمذجة MG المعزول والتحقق منه في MATLAB/Simulink باستخدام تقنيات التحكم المذكورة أعلاه. علاوة على ذلك، تؤخذ دراسات الحالة المختلفة في الاعتبار للتحقق من صحة الجمع بين ADC و MPC لتنظيم تردد MG المعزول. بالإضافة إلى ذلك، تتم مقارنة وحدة تحكم MPC المقترحة بوحدة تحكم منطقية متناسبة ومتكاملة (FPI) ووحدة تحكم متناسبة ومتكاملة (PI)، وتوفر MPC نتائج أداء أفضل مقارنة بوحدات تحكم FPI و PI.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 58 citations 58 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021Embargo end date: 20 Jul 2022 Austria, United Kingdom, United Kingdom, Spain, United Kingdom, Saudi Arabia, France, Sweden, France, Sweden, Australia, France, Spain, Saudi Arabia, United Kingdom, GermanyPublisher:Cambridge University Press (CUP) Funded by:EC | COMFORT, EC | ENGAGE, EC | ERA +6 projectsEC| COMFORT ,EC| ENGAGE ,EC| ERA ,EC| CONSTRAIN ,NSERC ,EC| PROTECT ,DFG ,EC| TiPACCs ,EC| FirEUriskMartin, Maria; Sendra, Olga Alcaraz; Bastos, Ana; Bauer, Nico; Bertram, Christoph; Blenckner, Thorsten; Bowen, Kathryn; Brando, Paulo; Rudolph, Tanya Brodie; Büchs, Milena; Bustamante, Mercedes; Chen, Deliang; Cleugh, Helen; Dasgupta, Purnamita; Denton, Fatima; Donges, Jonathan; Donkor, Felix Kwabena; Duan, Hongbo; Duarte, Carlos; Ebi, Kristie; Edwards, Clea; Engel, Anja; Fisher, Eleanor; Fuss, Sabine; Gaertner, Juliana; Gettelman, Andrew; Girardin, Cécile A.J.; Golledge, Nicholas; Green, Jessica; Grose, Michael; Hashizume, Masahiro; Hebden, Sophie; Hepach, Helmke; Hirota, Marina; Hsu, Huang-Hsiung; Kojima, Satoshi; Lele, Sharachchandra; Lorek, Sylvia; Lotze, Heike; Matthews, H. Damon; Mccauley, Darren; Mebratu, Desta; Mengis, Nadine; Nolan, Rachael; Pihl, Erik; Rahmstorf, Stefan; Redman, Aaron; Reid, Colleen; Rockström, Johan; Rogelj, Joeri; Saunois, Marielle; Sayer, Lizzie; Schlosser, Peter; Sioen, Giles; Spangenberg, Joachim; Stammer, Detlef; Sterner, Thomas N.S.; Stevens, Nicola; Thonicke, Kirsten; Tian, Hanqin; Winkelmann, Ricarda; Woodcock, James; Sendra, Olga; Rudolph, Tanya; Donkor, Felix; Girardin, Cécile; Sterner, Thomas;Non-technical summaryWe summarize some of the past year's most important findings within climate change-related research. New research has improved our understanding about the remaining options to achieve the Paris Agreement goals, through overcoming political barriers to carbon pricing, taking into account non-CO2factors, a well-designed implementation of demand-side and nature-based solutions, resilience building of ecosystems and the recognition that climate change mitigation costs can be justified by benefits to the health of humans and nature alone. We consider new insights about what to expect if we fail to include a new dimension of fire extremes and the prospect of cascading climate tipping elements.Technical summaryA synthesis is made of 10 topics within climate research, where there have been significant advances since January 2020. The insights are based on input from an international open call with broad disciplinary scope. Findings include: (1) the options to still keep global warming below 1.5 °C; (2) the impact of non-CO2factors in global warming; (3) a new dimension of fire extremes forced by climate change; (4) the increasing pressure on interconnected climate tipping elements; (5) the dimensions of climate justice; (6) political challenges impeding the effectiveness of carbon pricing; (7) demand-side solutions as vehicles of climate mitigation; (8) the potentials and caveats of nature-based solutions; (9) how building resilience of marine ecosystems is possible; and (10) that the costs of climate change mitigation policies can be more than justified by the benefits to the health of humans and nature.Social media summaryHow do we limit global warming to 1.5 °C and why is it crucial? See highlights of latest climate science.
CORE arrow_drop_down COREArticle . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/179965/1/ten-new-insights-in-climate-science-2021-a-horizon-scan.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/179965/1/ten-new-insights-in-climate-science-2021-a-horizon-scan.pdfData sources: CORE (RIOXX-UK Aggregator)Global SustainabilityArticleLicense: CC BYFull-Text: https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S2059479821000259Data sources: SygmaImperial College London: SpiralArticle . 2021License: CC BYFull-Text: http://hdl.handle.net/10044/1/93398Data sources: Bielefeld Academic Search Engine (BASE)Newcastle University Library ePrints ServiceArticleLicense: CC BYFull-Text: https://eprints.ncl.ac.uk/288587Data sources: Bielefeld Academic Search Engine (BASE)King Abdullah University of Science and Technology: KAUST RepositoryArticle . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2021Full-Text: https://hal.science/hal-03448064Data sources: Bielefeld Academic Search Engine (BASE)The Nordic Africa Institute: Publications (DiVA)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2021License: CC BY NC NDFull-Text: http://hdl.handle.net/11343/301490Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledgeArticle . 2021License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2021Full-Text: https://hal.science/hal-03448064Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTASpiral - Imperial College Digital RepositoryArticle . 2021License: CC BYData sources: Spiral - Imperial College Digital RepositoryOxford University Research ArchiveArticle . 2021License: CC BY NC NDData sources: Oxford University Research ArchiveUPCommons. Portal del coneixement obert de la UPCArticle . 2021License: CC BY NC NDData sources: UPCommons. Portal del coneixement obert de la UPCDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedUniversity of Western Sydney (UWS): Research DirectArticle . 2021License: CC BYData 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 38 citations 38 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
visibility 32visibility views 32 download downloads 68 Powered bymore_vert CORE arrow_drop_down COREArticle . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/179965/1/ten-new-insights-in-climate-science-2021-a-horizon-scan.pdfData sources: CORECORE (RIOXX-UK Aggregator)Article . 2021License: CC BYFull-Text: https://eprints.whiterose.ac.uk/179965/1/ten-new-insights-in-climate-science-2021-a-horizon-scan.pdfData sources: CORE (RIOXX-UK Aggregator)Global SustainabilityArticleLicense: CC BYFull-Text: https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S2059479821000259Data sources: SygmaImperial College London: SpiralArticle . 2021License: CC BYFull-Text: http://hdl.handle.net/10044/1/93398Data sources: Bielefeld Academic Search Engine (BASE)Newcastle University Library ePrints ServiceArticleLicense: CC BYFull-Text: https://eprints.ncl.ac.uk/288587Data sources: Bielefeld Academic Search Engine (BASE)King Abdullah University of Science and Technology: KAUST RepositoryArticle . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2021Full-Text: https://hal.science/hal-03448064Data sources: Bielefeld Academic Search Engine (BASE)The Nordic Africa Institute: Publications (DiVA)Article . 2021Data sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2021License: CC BY NC NDFull-Text: http://hdl.handle.net/11343/301490Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledgeArticle . 2021License: CC BY NC NDData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2021Full-Text: https://hal.science/hal-03448064Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BY NC NDData sources: Recolector de Ciencia Abierta, RECOLECTASpiral - Imperial College Digital RepositoryArticle . 2021License: CC BYData sources: Spiral - Imperial College Digital RepositoryOxford University Research ArchiveArticle . 2021License: CC BY NC NDData sources: Oxford University Research ArchiveUPCommons. Portal del coneixement obert de la UPCArticle . 2021License: CC BY NC NDData sources: UPCommons. Portal del coneixement obert de la UPCDigitala Vetenskapliga Arkivet - Academic Archive On-lineArticle . 2021 . Peer-reviewedUniversity of Western Sydney (UWS): Research DirectArticle . 2021License: CC BYData 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=10.1017/sus.2021.25&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021Embargo end date: 01 Jan 2021 Germany, Austria, Belgium, United Kingdom, SwitzerlandPublisher:Springer Science and Business Media LLC Funded by:NSERC, EC | CONSTRAINNSERC ,EC| CONSTRAINReto Knutti; Nadine Mengis; Nadine Mengis; Karsten Haustein; Christopher J. Smith; Katarzyna B. Tokarska; H. Damon Matthews; Sebastian Sippel; Joeri Rogelj; Joeri Rogelj; Andrew H. MacDougall; Piers M. Forster;AbstractThe remaining carbon budget quantifies the future CO2emissions to limit global warming below a desired level. Carbon budgets are subject to uncertainty in the Transient Climate Response to Cumulative CO2Emissions (TCRE), as well as to non-CO2climate influences. Here we estimate the TCRE using observational constraints, and integrate the geophysical and socioeconomic uncertainties affecting the distribution of the remaining carbon budget. We estimate a median TCRE of 0.44 °C and 5–95% range of 0.32–0.62 °C per 1000 GtCO2emitted. Considering only geophysical uncertainties, our median estimate of the 1.5 °C remaining carbon budget is 440 GtCO2from 2020 onwards, with a range of 230–670 GtCO2, (for a 67–33% chance of not exceeding the target). Additional socioeconomic uncertainty related to human decisions regarding future non-CO2emissions scenarios can further shift the median 1.5 °C remaining carbon budget by ±170 GtCO2.
CORE arrow_drop_down Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/90424Data sources: Bielefeld Academic Search Engine (BASE)Communications Earth & EnvironmentArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefSpiral - Imperial College Digital RepositoryArticle . 2020License: CC BYData sources: Spiral - Imperial College Digital RepositoryVrije Universiteit Brussel Research PortalArticle . 2021Data sources: Vrije Universiteit Brussel Research PortalCommunications Earth & EnvironmentArticle . 2021 . Peer-reviewedData sources: European Union Open Data Portaladd 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=10.1038/s43247-020-00064-9&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 75 citations 75 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert CORE arrow_drop_down Imperial College London: SpiralArticle . 2020License: CC BYFull-Text: http://hdl.handle.net/10044/1/90424Data sources: Bielefeld Academic Search Engine (BASE)Communications Earth & EnvironmentArticle . 2021 . Peer-reviewedLicense: CC BYData sources: CrossrefSpiral - Imperial College Digital RepositoryArticle . 2020License: CC BYData sources: Spiral - Imperial College Digital RepositoryVrije Universiteit Brussel Research PortalArticle . 2021Data sources: Vrije Universiteit Brussel Research PortalCommunications Earth & EnvironmentArticle . 2021 . Peer-reviewedData sources: European Union Open Data Portaladd 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 , Other literature type 2023 NorwayPublisher:Elsevier BV Weisong Wang; Wenjing Sun; Usama Awan; Abdelmohsen A. Nassani; Rima H. Binsaeed; Khalid Zaman;Résumé Le fret aérien reste vital dans les activités économiques pour transporter des marchandises d'un endroit à un autre. Les pays développés et en développement considèrent principalement les itinéraires de transaction pour le transport aérien comme le mode le plus sûr et le plus rapide. L'économie chinoise attire le monde entier grâce à ses exportations. Le système de fret aérien du pays dépend principalement de l'essence et des carburants à base de pétrole, ce qui nuit au programme de transport vert du pays. La forte utilisation de la combustion de carburant dans le secteur de l'aviation nécessitait des investissements nouveaux qui aident à utiliser l'énergie verte comme carburant alternatif durable. En outre, une assurance aviation durable et une couverture financière sont nécessaires pour atténuer les externalités négatives des opérations de fret aérien. Sur la base des faits cruciaux, l'étude a utilisé les opérations de fret aérien, la combustion des carburants de transport, les investissements privés dans le transport et la couverture d'assurance dans la fonction de dommages dus à la pollution pour l'économie chinoise en utilisant des données de 1975 à 2020. La recherche a utilisé une stratégie de test des limites ARDL non linéaire pour décomposer la séquence de variables en multiplicateurs dynamiques positifs et négatifs. Il a été démontré que les chocs positifs dans le fret aérien, les services d'assurance et les investissements nouveaux réduisent les émissions de carbone immédiatement et à long terme. À court terme, les dommages liés au carbone sont exacerbés par les chocs négatifs résultant de l'utilisation de carburant pour le transport et de la disponibilité d'une assurance. De plus, les chocs positifs et négatifs associés à la combustion des carburants de transport et au fret aérien contribuent à une augmentation des dommages causés par le carbone. L'analyse de décomposition de la variance a validé les corrélations asymétriques entre les variables susmentionnées dans l'environnement intertemporel. Sur la base des résultats, les chocs négatifs dus à la combustion totale de carburant devraient imposer les plus grands dommages au carbone au cours de la prochaine décennie, suivis des services d'assurance et des opérations de fret aérien. L'étude conclut que les opérations de fret aérien doivent être des routes de transaction durables alimentées par des sources d'énergie biocarburant, des investissements nouveaux et une couverture d'assurance aviation durable pour atteindre le programme de transport « vert et propre ». Resumen La carga aérea sigue siendo vital en las actividades económicas para transportar mercancías de un lugar a otro. Los países desarrollados y en desarrollo consideran principalmente las rutas de transacción para el transporte aéreo como el modo más seguro y rápido. La economía china está atrayendo al mundo global a través de sus exportaciones. El sistema de carga aérea del país depende principalmente de la gasolina y los combustibles derivados del petróleo, lo que perjudica la agenda de transporte verde del país. El alto uso de quemas de combustible en el sector de la aviación requería una inversión totalmente nueva que ayudara a utilizar la energía verde como combustible sostenible alternativo. Además, se necesitan seguros de aviación sostenibles y cobertura financiera para mitigar las externalidades negativas adversas de las operaciones de carga aérea. Con base en los hechos cruciales, el estudio utilizó operaciones de carga aérea, quemas de combustible de transporte, inversión privada en el transporte y cobertura de seguros en la función de daños por contaminación para la economía de China utilizando datos de 1975 a 2020. La investigación empleó una estrategia de prueba de límites ARDL no lineal para desglosar la secuencia de variables en multiplicadores dinámicos positivos y negativos. Se ha demostrado que los choques positivos en el transporte aéreo, los servicios de seguros y la inversión en nuevas instalaciones reducen las emisiones de carbono de inmediato y a largo plazo. A corto plazo, los daños por carbono se ven exacerbados por los choques negativos resultantes del uso de combustible para el transporte y la disponibilidad de seguros. Además, tanto los choques positivos como los negativos asociados con las quemas de combustible para el transporte y los fletes de transporte aéreo contribuyen a un aumento en el daño por carbono. El análisis de descomposición de varianza validó las correlaciones asimétricas entre las variables antes mencionadas en el entorno intertemporal. Según los hallazgos, se espera que los choques negativos de las quemas totales de combustible impongan los mayores daños de carbono durante la próxima década, seguidos por los servicios de seguros y las operaciones de transporte aéreo. El estudio concluye que las operaciones de carga aérea deben ser rutas de transacción sostenibles alimentadas por fuentes de energía de biocombustibles, inversión en nuevas instalaciones y cobertura de seguro de aviación sostenible para lograr la agenda de transporte "verde es limpio". Abstract Aviation cargo remains vital in the economic activities to transported goods from one place to another. The developed and developing countries mainly consider the transaction routes for air transportation for safe and quickest mode. Chinese economy is attracting the global World through its exports. The country's air cargo system is mainly reliant on gasoline and petroleum-based fuels, which harms the country's green transportation agenda. The high use of fuel combustions in the aviation sector needed greenfield investment that helps to use green energy as an alternative sustainable fuel. Further, sustainable aviation insurance and financial coverage are needed to mitigate the adverse negative externalities from air cargo operations. Based on the crucial facts, the study used air cargo operations, transportation fuel combustions, private investment in the transportation and insurance coverage in the pollution damage function for the China economy using data from 1975 to 2020. The research employed a non-linear ARDL Bounds testing strategy to break down the sequence of variables into dynamic positive and negative multipliers. Positive shocks in air freight, insurance services, and greenfield investment have been shown to reduce carbon emissions immediately and over the long term. In the short term, carbon damages are exacerbated by the negative shocks resulting from the use of transportation fuel and the availability of insurance. Moreover, both the positive and negative shocks associated with transportation fuel combustions and air transportation freights contribute to a rise in carbon damage. The variance decomposition analysis validated the asymmetric correlations between the aforementioned variables in the intertemporal environment. Based on the findings, negative shocks from total fuel combustions are expected to impose the greatest carbon damages over the next decade, followed by insurance services and air freight operations. The study concludes that air cargo operations need to be sustainable transacting routes fueled by biofuel energy sources, greenfield investment, and sustainable aviation insurance coverage to achieve the 'green is clean' transportation agenda. الملخص تظل شحنات الطيران حيوية في الأنشطة الاقتصادية لنقل البضائع من مكان إلى آخر. تنظر البلدان المتقدمة والنامية بشكل أساسي في طرق المعاملات للنقل الجوي من أجل وضع آمن وأسرع. يجذب الاقتصاد الصيني العالم العالمي من خلال صادراته. يعتمد نظام الشحن الجوي في البلاد بشكل أساسي على البنزين والوقود القائم على النفط، مما يضر بجدول أعمال النقل الأخضر في البلاد. احتاج الاستخدام المرتفع لاحتراق الوقود في قطاع الطيران إلى استثمارات جديدة تساعد على استخدام الطاقة الخضراء كوقود بديل مستدام. علاوة على ذلك، هناك حاجة إلى تأمين طيران مستدام وتغطية مالية للتخفيف من الآثار الخارجية السلبية السلبية لعمليات الشحن الجوي. استنادًا إلى الحقائق الحاسمة، استخدمت الدراسة عمليات الشحن الجوي، واحتراق وقود النقل، والاستثمار الخاص في النقل والتغطية التأمينية في وظيفة أضرار التلوث للاقتصاد الصيني باستخدام البيانات من 1975 إلى 2020. استخدم البحث استراتيجية اختبار حدود ARDL غير الخطية لتقسيم تسلسل المتغيرات إلى مضاعفات إيجابية وسلبية ديناميكية. وقد ثبت أن الصدمات الإيجابية في الشحن الجوي وخدمات التأمين والاستثمار في المجالات الجديدة تقلل من انبعاثات الكربون على الفور وعلى المدى الطويل. على المدى القصير، تتفاقم أضرار الكربون بسبب الصدمات السلبية الناتجة عن استخدام وقود النقل وتوافر التأمين. علاوة على ذلك، تساهم كل من الصدمات الإيجابية والسلبية المرتبطة باحتراق وقود النقل وشحنات النقل الجوي في ارتفاع أضرار الكربون. تحقق تحليل تحليل التباين من صحة الارتباطات غير المتماثلة بين المتغيرات المذكورة أعلاه في البيئة الزمنية. بناءً على النتائج، من المتوقع أن تفرض الصدمات السلبية الناجمة عن إجمالي احتراق الوقود أكبر أضرار الكربون على مدى العقد المقبل، تليها خدمات التأمين وعمليات الشحن الجوي. وخلصت الدراسة إلى أن عمليات الشحن الجوي يجب أن تكون طرق معاملات مستدامة تغذيها مصادر طاقة الوقود الحيوي، والاستثمار في المجالات الجديدة، وتغطية تأمين الطيران المستدامة لتحقيق أجندة النقل "الأخضر نظيف".
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.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 5 citations 5 popularity Average influence Average 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.heliyon.2023.e19013&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:MDPI AG Anam Nadeem; Mosè Rossi; Erica Corradi; Lingkang Jin; Gabriele Comodi; Nadeem Ahmed Sheikh;doi: 10.3390/en15093054
Energy-environmental planning for road transportation involves a vast investigation of vehicles’ technologies and electricity production. However, in developing countries where the public transportation sector is growing quickly, energy-environmental planning is urgently needed. This paper evaluates the future electricity demand, as well as fuel consumption and CO2 emissions reduction, due to the operation of an expected increasing number of electric vehicles (EVs) in Pakistan. The planning of EVs up to 2040 is performed with the ePop simulator that calculates the future EVs’ electricity demand, while EnergyPLAN® assesses the expected new power capacities. Two scenarios are investigated by penetrating 30% and 90% of 2/3 electric wheelers and cars by 2030 and 2040 compared to 2020, respectively. To fulfill the expected energy demand, PV in the daytime and the national electric grid at nighttime are here considered. Finally, a 9 GW of PV capacity is needed to satisfy the EVs’ electricity demand of 14.7 TWh/year, and a 0.7 GW power plants capacity is needed to fulfill 4.7 TWh/year by 2040. Consequently, EVs’ charging scenarios at daytime and nighttime are assessed. Results indicated a total reduction of 10.4 Mtonnes of CO2 emissions and 9.1 Mtoe of fuel consumption by 2040 in the transportation sector.
Energies arrow_drop_down EnergiesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/1996-1073/15/9/3054/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/en15093054&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 11 citations 11 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Energies arrow_drop_down EnergiesOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/1996-1073/15/9/3054/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/en15093054&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 2016 AustraliaPublisher:Springer International Publishing Authors: Javed, Muhamed Awais; Khan, Jamil Yusef; Ngo, Duy Trong;handle: 1959.13/1349132
Electric vehicles (EVs) are an integral part of the future transportation systems due to enhanced fuel and energy conversion efficiency. The success of electric vehicle technology requires an efficient charging management system that ensures their timely fueling. To support such a service, vehicular ad hoc networks can be used to implement an information system for EV energy management. For this purpose, it is essential for the electric vehicles to reliably and timely exchange information with the information/control servers using infrastructure nodes (INs) deployed at different geographical locations. As the INs may be located farther away from the vehicles, robust multi-hop packet transmissions are required. In this chapter, we present the design considerations for an information system for EV energy management. We propose a vehicle-to-infrastructure and infrastructure-to-vehicle (V2I-I2V) information transmission system that efficiently delivers packets for EV energy management services by mitigating the broadcast storm and hidden node problems. Moreover, the proposed system provides a signaling mechanism to select the shortest path for the downlink I2V transmissions, a challenging task due to the mobile nature of vehicles. Simulation results show that the developed system offers a low delay and reduced number of packet transmissions for different vehicle densities and mobility conditions.
https://doi.org/10.1... arrow_drop_down https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2016 . Peer-reviewedLicense: Springer 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=10.1007/978-3-319-27568-0_14&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert https://doi.org/10.1... arrow_drop_down https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2016 . Peer-reviewedLicense: Springer 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=10.1007/978-3-319-27568-0_14&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:MDPI AG Authors: Sarmad Ali; Muhammad Mahabat Khan; Muhammad Irfan;doi: 10.3390/wevj15020042
The rapid increase in emissions and the depletion of fossil fuels have led to a rapid rise in the electric vehicle (EV) industry. Electric vehicles predominantly rely on lithium-ion batteries (LIBs) to power their electric motors. However, the charging and discharging processes of LIB packs generate heat, resulting in a significant decline in the battery performance of EVs. Consequently, there is a pressing need for effective battery thermal management systems (BTMSs) for lithium-ion batteries in EVs. In the current study, a novel experimental BTMS was developed for the thermal performance enhancement of an LIB pack comprising 2 × 2 cells. Three distinct fin configurations (circular, rectangular, and tapered) were integrated for the outer wall of the lithium-ion cells. Additionally, the cells were fully submerged in phase change material (PCM). The study considered 1C, 2C, and 3C cell discharge rates, affiliated with their corresponding volumetric heat generation rates. The combination of rectangular fins and PCM manifested superior performance, reducing the mean cell temperature by 29.71% and 28.36% compared to unfinned lithium-ion cells under ambient conditions at the 1C and 2C discharge rates. Furthermore, at the 3C discharge rate, lithium-ion cells equipped with rectangular fins demonstrated a delay of 40 min in reaching the maximum surface temperature of 40 °C compared to the unfinned ambient case. After 60 min of battery discharge at the 3C rate, the cell surface temperature of the rectangular fin case only reached 42.7 °C. Furthermore, numerical simulations showed that the Nusselt numbers for lithium-ion cells with rectangular fins improved by 9.72% compared to unfinned configurations at the 3C discharge rate.
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=10.3390/wevj15020042&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 5 citations 5 popularity Average influence Average impulse Top 10% Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019 United Kingdom, United Kingdom, United Kingdom, GermanyPublisher:Copernicus GmbH Funded by:UKRI | Characterisation of elect..., UKRI | Structural Dynamics in LO..., UKRI | Advancing Biotechnologies...UKRI| Characterisation of electron transport in bacterial nano-wire proteins through high performance computing and experimentation ,UKRI| Structural Dynamics in LOV Domain Photosensor Proteins ,UKRI| Advancing Biotechnologies for Fuel Generation: Exploiting Transmembrane Cytochromes for Solar Energy ConversionThomas J. Browning; Thomas J. Browning; Heather A. Bouman; Robyn E. Tuerena; Raja S. Ganeshram; Matthew P. Humphreys; Matthew P. Humphreys; Alexander P. Piotrowski;Abstract. The stable isotopic composition of particulate organic carbon (δ13CPOC) in the surface waters of the global ocean can vary with the aqueous CO2 concentration ([CO2(aq)]) and affects the trophic transfer of carbon isotopes in the marine food web. Other factors such as cell size, growth rate and carbon concentrating mechanisms decouple this observed correlation. Here, the variability in δ13CPOC is investigated in surface waters across the south subtropical convergence (SSTC) in the Atlantic Ocean, to determine carbon isotope fractionation (εp) by phytoplankton and the contrasting mechanisms of carbon uptake in the subantarctic and subtropical water masses. Our results indicate that cell size is the primary determinant of δ13CPOC across the Atlantic SSTC in summer. Combining cell size estimates with CO2 concentrations, we can accurately estimate εp within the varying surface water masses in this region. We further utilize these results to investigate future changes in εp with increased anthropogenic carbon availability. Our results suggest that smaller cells, which are prevalent in the subtropical ocean, will respond less to increased [CO2(aq)] than the larger cells found south of the SSTC and in the wider Southern Ocean. In the subantarctic water masses, isotopic fractionation during carbon uptake will likely increase, both with increasing CO2 availability to the cell, but also if increased stratification leads to decreases in average community cell size. Coupled with decreasing δ13C of [CO2(aq)] due to anthropogenic CO2 emissions, this change in isotopic fractionation and lowering of δ13CPOC may propagate through the marine food web, with implications for the use of δ13CPOC as a tracer of dietary sources in the marine environment.
CORE arrow_drop_down University of East Anglia digital repositoryArticle . 2019 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversity of East Anglia: UEA Digital RepositoryArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/bg-201...Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefOxford University Research ArchiveArticle . 2019License: CC BYData sources: Oxford University Research Archiveadd 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=10.5194/bg-16-3621-2019&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert CORE arrow_drop_down University of East Anglia digital repositoryArticle . 2019 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversity of East Anglia: UEA Digital RepositoryArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/bg-201...Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefOxford University Research ArchiveArticle . 2019License: CC BYData sources: Oxford University Research Archiveadd 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=10.5194/bg-16-3621-2019&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021Publisher:Elsevier BV Authors: Abdul Manan; Khurram Kamal; Tahir Abdul Hussain Ratlamwala; Muhammad Fahad Sheikh; +2 AuthorsAbdul Manan; Khurram Kamal; Tahir Abdul Hussain Ratlamwala; Muhammad Fahad Sheikh; Abdul Ghani Abro; Tayyab Zafar;Gas pipelines are often subjected to various kinds of damages such as corrosion, welding failure, and excavation damages, due to harsh environmental conditions. The failure in gas pipelines may lead to catastrophic damages such as human life loss, economic loss, etc. Predicting pipeline health is of critical importance to avoid these damages. In this study, 875 incidents are extracted from US DOT PHMSA from 2002 to 2020. For each of the incident, different parameters such as Age, NPS, Wall Thickness, Material, Operating Pressure, Location, and Area is analyzed. Two supervised learning techniques Artificial Neural Networks and Support Vector Machine are used to predict and classify different natural gas pipeline failures i.e. Corrosion, Pipeline Material, or Weld Failure and Excavation Damage by using actual pipeline incident data. One-Way ANOVA F-test is used to select the important features of the input dataset. The supervised models (Backpropagation Neural Network and SVM) are trained and tested on the input data. The performance of the models is assessed based on accurate predictions made by the trained models on the testing dataset. It is observed that Medium Gaussian SVM integrated with ANOVA (and Holdout cross-validation) performs better than other algorithms and yields 74.8% accuracy. Gas pipelines are often subjected to various kinds of damages such as corrosion, welding failure, and excavation damages, due to harsh environmental conditions. The failure in gas pipelines may lead to catastrophic damages like human life loss, economic loss, etc. Predicting pipeline health is of critical importance to avoid these damages. In this study, 875 incidents are extracted from US DOT PHMSA from 2002 to 2020. For each of the incident, different parameters such as Age, NPS, Wall Thickness, Material, Operating Pressure, Location, and Area is analyzed. Two supervised learning techniques Artificial Neural Networks and Support Vector Machine are used to predict and classify different natural gas pipeline failures i.e. Corrosion, Pipeline Material, or Weld Failure and Excavation Damage by using actuel pipeline incident data. One-Way ANOVA F-test is used to select the important features of the input dataset. The supervised models (Backpropagation Neural Network and SVM) are trained and tested on the input data. The performance of the models is assessed based on precisate predictions made by the trained models on the testing dataset. It is observed that Medium Gaussian SVM integrated with ANOVA (and Holdout cross-validation) performs better than other algorithms and yields 74.8% accuracy. Gas pipelines are often subjected to various kinds of damages such as corrosion, welding failure, and excavation damages, due to harsh environmental conditions. The failure in gas pipelines may lead to catastrophic damages like human life loss, economic loss, etc. Predicting pipeline health is of critical importance to avoid these damages. In this study, 875 incidents are extracted from US DOT PHMSA from 2002 to 2020. For each of the incident, different parameters such as Age, NPS, Wall Thickness, Material, Operating Pressure, Location, and Area is analyzed. Two supervised learning techniques Artificial Neural Networks and Support Vector Machine are used to predict and classify different natural gas pipeline failures i.e. Corrosion, Pipeline Material, or Weld Failure and Excavation Damage by using actual pipeline incident data. One-Way ANOVA F-test is used to select the important features of the input dataset. The supervised models (Backpropagation Neural Network and SVM) are trained and tested on the input data. The performance of the models is assessed based on accurate predictions made by the trained models on the testing dataset. It is observed that Medium Gaussian SVM integrated with ANOVA (and Holdout cross-validation) performs better than other algorithms and yields 74.8% accuracy. Gas pipelines are often subjected to various kinds of damages such as corrosion, welding failure, and excavation damages, due to harsh environmental conditions. The failure in gas pipelines may lead to catastrophic damages like human life loss, economic loss, etc. Predicting pipeline health is of critical importance to avoid these damages. In this study, 875 incidents are extracted from US DOT PHMSA from 2002 to 2020. For each of the incident, different parameters such as Age, NPS, Wall Thickness, Material, Operating Pressure, Location, and Area is analyzed. Two supervised learning techniques Artificial Neural Networks and Support Vector Machine are used to predict and classify different natural gas pipeline failures i.e. Corrosion, Pipeline Material, or Weld Failure and Excavation Damage by using actual pipeline incident data. One-Way ANOVA F-test is used to select the important features of the input dataset. The supervised models (Backpropagation Neural Network and SVM) are trained and tested on the input data. The performance of the models is assessed based on accurate predictions made by the trained models on the testing dataset. It is observed that Medium Gaussian SVM integrated with ANOVA (and Holdout cross-validation) performs better than other algorithms and yields 74.8% accuracy. غالبًا ما تتعرض خطوط أنابيب الغاز لأنواع مختلفة من الأضرار مثل التآكل وفشل اللحام وأضرار الحفر، بسبب الظروف البيئية القاسية. قد يؤدي الفشل في خطوط أنابيب الغاز إلى أضرار كارثية مثل الخسائر في الأرواح البشرية والخسائر الاقتصادية وما إلى ذلك. يعد التنبؤ بصحة خط الأنابيب أمرًا بالغ الأهمية لتجنب هذه الأضرار. في هذه الدراسة، تم استخراج 875 حادثة من وزارة النقل الأمريكية PHMSA من 2002 إلى 2020. لكل حادث، يتم تحليل معلمات مختلفة مثل العمر، NPS، سمك الجدار، المواد، ضغط التشغيل، الموقع، والمنطقة. يتم استخدام تقنيتين للتعلم الخاضع للإشراف وهما الشبكات العصبية الاصطناعية وآلة ناقلات الدعم للتنبؤ وتصنيف أعطال خطوط أنابيب الغاز الطبيعي المختلفة مثل التآكل أو مواد خطوط الأنابيب أو أعطال اللحام وأضرار الحفر باستخدام بيانات حوادث خطوط الأنابيب الفعلية. يُستخدم اختبار F - TEST أحادي الاتجاه لتحديد الميزات المهمة لمجموعة بيانات الإدخال. يتم تدريب النماذج الخاضعة للإشراف (الشبكة العصبية للانتشار الخلفي و SVM) واختبارها على بيانات الإدخال. يتم تقييم أداء النماذج بناءً على التنبؤات الدقيقة التي قدمتها النماذج المدربة على مجموعة بيانات الاختبار. لوحظ أن SVM الغاوسي المتوسط المدمج مع ANOVA (والتحقق المتبادل من القابضة) يعمل بشكل أفضل من الخوارزميات الأخرى ويحقق دقة 74.8 ٪.
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.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 21 citations 21 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.egyr.2021.10.093&type=result"></script>'); --> </script>
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