- Access Routes
Green hybrid 26 citations 26 popularity Top 10% influence Top 10% impulse Top 10% 
Powered by BIP!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.<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.est.2020.101972&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Access Routes
Green hybrid 26 citations 26 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!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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Ahmed, Asam; Ge, Tianshu;Ahmed, Asam
Harvested from ORCID Public Data FileAhmed, Asam in OpenAIRE Peng, Jinqing; Yan, Wei-Cheng; +2 AuthorsPeng, Jinqing
Harvested from ORCID Public Data FilePeng, Jinqing in OpenAIRE Ahmed, Asam; Ge, Tianshu;Ahmed, Asam
Harvested from ORCID Public Data FileAhmed, Asam in OpenAIRE Peng, Jinqing; Yan, Wei-Cheng; Tee, Boon Tuan;Peng, Jinqing
Harvested from ORCID Public Data FilePeng, Jinqing in OpenAIRE
You, Siming; You, Siming
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesYou, Siming in OpenAIREDecarbonizing the building sector is extremely important to mitigating climate change as the sector contributes 40% of the overall energy consumption and 36% of the total greenhouse gas emissions in the world. Net-zero energy buildings are one of the promising decarbonization attempts due to their potential of decreasing the use of energy and increasing the total share of renewable energy. To achieve a net-zero energy building, it is necessary to decrease the energy demand by applying efficiency enhancement measures and using renewable energy sources. Net-zero energy buildings can be classified into four models (Net-Zero Site Energy buildings, Net-Zero Emissions buildings, Net-Zero Source Energy buildings, and Net-Zero Cost Energy buildings). A variety of technical, financial, and environmental factors should be considered during the decision-making process of net-zero energy building development, justifying the use of multi-criteria decision analysis methods for the design of net-zero energy buildings. This paper also discussed the contributions of renewable energy generation (hydropower, wind energy, solar, heat pumps, and bioenergy) to the development of net-zero energy buildings and reviewed its role in tackling the decarbonization challenge. Cost-benefit analysis and life cycle assessment of building designs were reviewed to shape the priorities of future development. It is important to develop a universal decision instrument for optimum design and operation of net-zero energy buildings.
Access RoutesGreen 263 citations 263 popularity Top 1% influence Top 1% impulse Top 0.1% Powered by BIP!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.<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.enbuild.2021.111755&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- Ahmed, Asam; Ge, Tianshu;
Ahmed, Asam
Harvested from ORCID Public Data FileAhmed, Asam in OpenAIRE Peng, Jinqing; Yan, Wei-Cheng; +2 AuthorsPeng, Jinqing
Harvested from ORCID Public Data FilePeng, Jinqing in OpenAIRE Ahmed, Asam; Ge, Tianshu;Ahmed, Asam
Harvested from ORCID Public Data FileAhmed, Asam in OpenAIRE Peng, Jinqing; Yan, Wei-Cheng; Tee, Boon Tuan;Peng, Jinqing
Harvested from ORCID Public Data FilePeng, Jinqing in OpenAIRE You, Siming; You, Siming
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesYou, Siming in OpenAIREDecarbonizing the building sector is extremely important to mitigating climate change as the sector contributes 40% of the overall energy consumption and 36% of the total greenhouse gas emissions in the world. Net-zero energy buildings are one of the promising decarbonization attempts due to their potential of decreasing the use of energy and increasing the total share of renewable energy. To achieve a net-zero energy building, it is necessary to decrease the energy demand by applying efficiency enhancement measures and using renewable energy sources. Net-zero energy buildings can be classified into four models (Net-Zero Site Energy buildings, Net-Zero Emissions buildings, Net-Zero Source Energy buildings, and Net-Zero Cost Energy buildings). A variety of technical, financial, and environmental factors should be considered during the decision-making process of net-zero energy building development, justifying the use of multi-criteria decision analysis methods for the design of net-zero energy buildings. This paper also discussed the contributions of renewable energy generation (hydropower, wind energy, solar, heat pumps, and bioenergy) to the development of net-zero energy buildings and reviewed its role in tackling the decarbonization challenge. Cost-benefit analysis and life cycle assessment of building designs were reviewed to shape the priorities of future development. It is important to develop a universal decision instrument for optimum design and operation of net-zero energy buildings.
Access RoutesGreen 263 citations 263 popularity Top 1% influence Top 1% impulse Top 0.1% Powered by BIP!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.<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.enbuild.2021.111755&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Göran Berndes; Serina Ahlgren; Pål Börjesson;
Serina Ahlgren
Harvested from ORCID Public Data FileSerina Ahlgren in OpenAIRE Annette L. Cowie; Annette L. Cowie
Harvested from ORCID Public Data FileAnnette L. Cowie in OpenAIREAbstractBioenergy projects can lead to direct and indirect land use change (LUC), which can substantially affect greenhouse gas balances with both beneficial and adverse outcomes for bioenergy's contribution to climate change mitigation. The causes behind LUC are multiple, complex, interlinked, and change over time. This makes quantification uncertain and sensitive to many factors that can develop in different directions—including land use productivity, trade patterns, prices and elasticities, and use of by‐products associated with biofuels production. Quantifications reported so far vary substantially and do not support the ranking of bioenergy options with regard to LUC and associated emissions. There are however several options for mitigating these emissions, which can be implemented despite the uncertainties. Long‐rotation forest management is associated with carbon emissions and sequestration that are not in temporal balance with each other and this leads to mitigation trade‐offs between biomass extraction for energy use and the alternative to leave the biomass in the forest. Bioenergy's contribution to climate change mitigation needs to reflect a balance between near‐term targets and the long‐term objective to hold the increase in global temperature below 2°C (Copenhagen Accord). Although emissions from LUC can be significant in some circumstances, the reality of such emissions is not sufficient reason to exclude bioenergy from the list of worthwhile technologies for climate change mitigation. Policy measures to minimize the negative impacts of LUC should be based on a holistic perspective recognizing the multiple drivers and effects of LUC.This article is categorized under: Bioenergy > Economics and Policy Bioenergy > Climate and Environment
72 citations 72 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!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.<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=10.1002/wene.41&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Göran Berndes; Serina Ahlgren; Pål Börjesson;
Serina Ahlgren
Harvested from ORCID Public Data FileSerina Ahlgren in OpenAIRE Annette L. Cowie; Annette L. Cowie
Harvested from ORCID Public Data FileAnnette L. Cowie in OpenAIREAbstractBioenergy projects can lead to direct and indirect land use change (LUC), which can substantially affect greenhouse gas balances with both beneficial and adverse outcomes for bioenergy's contribution to climate change mitigation. The causes behind LUC are multiple, complex, interlinked, and change over time. This makes quantification uncertain and sensitive to many factors that can develop in different directions—including land use productivity, trade patterns, prices and elasticities, and use of by‐products associated with biofuels production. Quantifications reported so far vary substantially and do not support the ranking of bioenergy options with regard to LUC and associated emissions. There are however several options for mitigating these emissions, which can be implemented despite the uncertainties. Long‐rotation forest management is associated with carbon emissions and sequestration that are not in temporal balance with each other and this leads to mitigation trade‐offs between biomass extraction for energy use and the alternative to leave the biomass in the forest. Bioenergy's contribution to climate change mitigation needs to reflect a balance between near‐term targets and the long‐term objective to hold the increase in global temperature below 2°C (Copenhagen Accord). Although emissions from LUC can be significant in some circumstances, the reality of such emissions is not sufficient reason to exclude bioenergy from the list of worthwhile technologies for climate change mitigation. Policy measures to minimize the negative impacts of LUC should be based on a holistic perspective recognizing the multiple drivers and effects of LUC.This article is categorized under: Bioenergy > Economics and Policy Bioenergy > Climate and Environment
72 citations 72 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!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.<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=10.1002/wene.41&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| NoAW Vannini M.;
Vannini M.
Harvested from ORCID Public Data FileVannini M. in OpenAIRE Marchese P.; Marchese P.
Harvested from ORCID Public Data FileMarchese P. in OpenAIRE Sisti L.; Saccani A.; +3 AuthorsSaccani A.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSaccani A. in OpenAIRE Vannini M.; Vannini M.
Harvested from ORCID Public Data FileVannini M. in OpenAIRE Marchese P.; Marchese P.
Harvested from ORCID Public Data FileMarchese P. in OpenAIRE Sisti L.; Saccani A.; Mu T.;Saccani A.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSaccani A. in OpenAIRE Sun H.; Celli A.; Celli A.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesCelli A. in OpenAIREWith the aim to fully exploit the by-products obtained after the industrial extraction of starch from sweet potatoes, a cascading approach was developed to extract high-value molecules, such as proteins and pectins, and to valorize the solid fraction, rich in starch and fibrous components. This fraction was used to prepare new biocomposites designed for food packaging applications. The sweet potato residue was added to poly(3-hydroxybutyrate-co-3-hydroxyvalerate) in various amounts up to 40 wt % by melt mixing, without any previous treatment. The composites are semicrystalline materials, characterized by thermal stability up to 260 °C. For the composites containing up to 10 wt % of residue, the tensile strength remains over 30 MPa and the strain stays over 3.2%. A homogeneous dispersion of the sweet potato waste into the bio-polymeric matrix was achieved but, despite the presence of hydrogen bond interactions between the components, a poor interfacial adhesion was detected. Considering the significant percentage of sweet potato waste used, the biocomposites obtained show a low economic and environmental impact, resulting in an interesting bio-alternative to the materials commonly used in the packaging industry. Thus, according to the principles of a circular economy, the preparation of the biocomposites closes the loop of the complete valorization of sweet potato products and by-products.
Access RoutesGreen gold 23 citations 23 popularity Top 10% influence Average impulse Top 10% Powered by BIP!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.<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/polym13071048&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| NoAW Vannini M.;
Vannini M.
Harvested from ORCID Public Data FileVannini M. in OpenAIRE Marchese P.; Marchese P.
Harvested from ORCID Public Data FileMarchese P. in OpenAIRE Sisti L.; Saccani A.; +3 AuthorsSaccani A.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSaccani A. in OpenAIRE Vannini M.; Vannini M.
Harvested from ORCID Public Data FileVannini M. in OpenAIRE Marchese P.; Marchese P.
Harvested from ORCID Public Data FileMarchese P. in OpenAIRE Sisti L.; Saccani A.; Mu T.;Saccani A.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSaccani A. in OpenAIRE Sun H.; Celli A.; Celli A.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesCelli A. in OpenAIREWith the aim to fully exploit the by-products obtained after the industrial extraction of starch from sweet potatoes, a cascading approach was developed to extract high-value molecules, such as proteins and pectins, and to valorize the solid fraction, rich in starch and fibrous components. This fraction was used to prepare new biocomposites designed for food packaging applications. The sweet potato residue was added to poly(3-hydroxybutyrate-co-3-hydroxyvalerate) in various amounts up to 40 wt % by melt mixing, without any previous treatment. The composites are semicrystalline materials, characterized by thermal stability up to 260 °C. For the composites containing up to 10 wt % of residue, the tensile strength remains over 30 MPa and the strain stays over 3.2%. A homogeneous dispersion of the sweet potato waste into the bio-polymeric matrix was achieved but, despite the presence of hydrogen bond interactions between the components, a poor interfacial adhesion was detected. Considering the significant percentage of sweet potato waste used, the biocomposites obtained show a low economic and environmental impact, resulting in an interesting bio-alternative to the materials commonly used in the packaging industry. Thus, according to the principles of a circular economy, the preparation of the biocomposites closes the loop of the complete valorization of sweet potato products and by-products.
Access RoutesGreen gold 23 citations 23 popularity Top 10% influence Average impulse Top 10% Powered by BIP!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.<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/polym13071048&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!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.<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=10.22004/ag.econ.48004&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!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.<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=10.22004/ag.econ.48004&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- EC| ICOMFLUID ,UKRI| Development of fast pyrolysis based advanced biofuel technologies for biofuels Beatriz Fidalgo; Sai Gu; Mobolaji Shemfe; Mobolaji Shemfe;
Beatriz Fidalgo
Harvested from ORCID Public Data FileBeatriz Fidalgo in OpenAIREBiofuels have been identified as a mid-term GHG emission abatement solution for decarbonising the transport sector. This study examines the techno-economic analysis of biofuel production via biomass fast pyrolysis and subsequent bio-oil upgrading via zeolite cracking. The aim of this study is to compare the techno-economic feasibility of two conceptual catalyst regeneration configurations for the zeolite cracking process: (i) a two-stage regenerator operating sequentially in partial and complete combustion modes (P-2RG) and (ii) a single stage regenerator operating in complete combustion mode coupled with a catalyst cooler (P-1RGC). The designs were implemented in Aspen Plus® based on a hypothetical 72 t/day pine wood fast pyrolysis and zeolite cracking plant and compared in terms of energy efficiency and profitability. The energy efficiencies of P-2RG and P-1RGC were estimated at 54% and 52%, respectively with corresponding minimum fuel selling prices (MFSPs) of £7.48/GGE and £7.20/GGE. Sensitivity analysis revealed that the MFSPs of both designs are mainly sensitive to variations in fuel yield, operating cost and income tax. Furthermore, uncertainty analysis indicated that the likely range of the MFSPs of P-1RGC (£5.81/GGE £11.63/GGE) at 95% probability was more economically favourable compared with P-2RG, along with a penalty of 2% reduction in energy efficiency. The results provide evidence to support the economic viability of biofuel production via zeolite cracking of pyrolysis-derived bio-oil.
Access RoutesGreen hybrid 57 citations 57 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!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.<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.biombioe.2017.01.020&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - EC| ICOMFLUID ,UKRI| Development of fast pyrolysis based advanced biofuel technologies for biofuels Beatriz Fidalgo; Sai Gu; Mobolaji Shemfe; Mobolaji Shemfe;
Beatriz Fidalgo
Harvested from ORCID Public Data FileBeatriz Fidalgo in OpenAIREBiofuels have been identified as a mid-term GHG emission abatement solution for decarbonising the transport sector. This study examines the techno-economic analysis of biofuel production via biomass fast pyrolysis and subsequent bio-oil upgrading via zeolite cracking. The aim of this study is to compare the techno-economic feasibility of two conceptual catalyst regeneration configurations for the zeolite cracking process: (i) a two-stage regenerator operating sequentially in partial and complete combustion modes (P-2RG) and (ii) a single stage regenerator operating in complete combustion mode coupled with a catalyst cooler (P-1RGC). The designs were implemented in Aspen Plus® based on a hypothetical 72 t/day pine wood fast pyrolysis and zeolite cracking plant and compared in terms of energy efficiency and profitability. The energy efficiencies of P-2RG and P-1RGC were estimated at 54% and 52%, respectively with corresponding minimum fuel selling prices (MFSPs) of £7.48/GGE and £7.20/GGE. Sensitivity analysis revealed that the MFSPs of both designs are mainly sensitive to variations in fuel yield, operating cost and income tax. Furthermore, uncertainty analysis indicated that the likely range of the MFSPs of P-1RGC (£5.81/GGE £11.63/GGE) at 95% probability was more economically favourable compared with P-2RG, along with a penalty of 2% reduction in energy efficiency. The results provide evidence to support the economic viability of biofuel production via zeolite cracking of pyrolysis-derived bio-oil.
Access RoutesGreen hybrid 57 citations 57 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!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.<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.biombioe.2017.01.020&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Allaoui, Hamid;
Allaoui, Hamid
Harvested from ORCID Public Data FileAllaoui, Hamid in OpenAIRE Guo, Yuhan; Choudhary, Alok;Guo, Yuhan
Harvested from ORCID Public Data FileGuo, Yuhan in OpenAIRE Bloemhof-Ruwaard, J.M.; Bloemhof-Ruwaard, J.M.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesBloemhof-Ruwaard, J.M. in OpenAIRESustainability of agro-food supply chains has recently become the subject of greater interest from consumers, firms, governmental organizations and academia as the environment continues to deteriorate. One of the most critical factors influencing the sustainability of an agro-food supply chain is its network design. A particularly challenging aspect in this context is the broad range of influencing indicators associated with the Triple Bottom Line (TBL) of sustainability that need to be considered. However, many of these indicators could not be fully integrated or measured by single-step optimization problems. This paper presents a critical literature review of operational research methods for the design of sustainable supply chains. A novel two-stage hybrid solution methodology is proposed. In the first stage, a partner selection is performed using a hybrid multi criteria decision making based on Analytic Hierarchy Process (AHP) method and the Ordered Weighted Averaging (OWA) aggregation method. The result obtained in the first stage is used in the second stage to develop a multi-objective mathematical model to optimize the design of the supply chain network. This approach allows the simultaneous consideration of all three dimensions of sustainability including carbon footprint, water footprint, number of jobs created and the total cost of the supply chain design. The proposed approach generates a Pareto frontier to aid users in making decisions. Numerical experiments are completed utilizing data from an agro-food company to demonstrate the efficiency and effectiveness of the proposed solution methodology. The analyzes of the numerical results provide important organizational, practical and policy insights on (1) the impact of financial and environmental sustainability on supply chain network design (2) the tradeoff analysis between environmental emission, water footprint, societal implications and associated cost for making informed decision on supply chain investment.
Access Routeshybrid 215 citations 215 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!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.<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.cor.2016.10.012&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Allaoui, Hamid;
Allaoui, Hamid
Harvested from ORCID Public Data FileAllaoui, Hamid in OpenAIRE Guo, Yuhan; Choudhary, Alok;Guo, Yuhan
Harvested from ORCID Public Data FileGuo, Yuhan in OpenAIRE Bloemhof-Ruwaard, J.M.; Bloemhof-Ruwaard, J.M.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesBloemhof-Ruwaard, J.M. in OpenAIRESustainability of agro-food supply chains has recently become the subject of greater interest from consumers, firms, governmental organizations and academia as the environment continues to deteriorate. One of the most critical factors influencing the sustainability of an agro-food supply chain is its network design. A particularly challenging aspect in this context is the broad range of influencing indicators associated with the Triple Bottom Line (TBL) of sustainability that need to be considered. However, many of these indicators could not be fully integrated or measured by single-step optimization problems. This paper presents a critical literature review of operational research methods for the design of sustainable supply chains. A novel two-stage hybrid solution methodology is proposed. In the first stage, a partner selection is performed using a hybrid multi criteria decision making based on Analytic Hierarchy Process (AHP) method and the Ordered Weighted Averaging (OWA) aggregation method. The result obtained in the first stage is used in the second stage to develop a multi-objective mathematical model to optimize the design of the supply chain network. This approach allows the simultaneous consideration of all three dimensions of sustainability including carbon footprint, water footprint, number of jobs created and the total cost of the supply chain design. The proposed approach generates a Pareto frontier to aid users in making decisions. Numerical experiments are completed utilizing data from an agro-food company to demonstrate the efficiency and effectiveness of the proposed solution methodology. The analyzes of the numerical results provide important organizational, practical and policy insights on (1) the impact of financial and environmental sustainability on supply chain network design (2) the tradeoff analysis between environmental emission, water footprint, societal implications and associated cost for making informed decision on supply chain investment.
Access Routeshybrid 215 citations 215 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!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.<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.cor.2016.10.012&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - RSF| Large-scale digital soil mapping based on remote sensing data ,ARC| Dynamic soil landscape carbon modelling Minasny, Budiman; Malone, Brendan P.;
Minasny, Budiman
Harvested from ORCID Public Data FileMinasny, Budiman in OpenAIRE Mcbratney, Alex B.; Angers, Denis A.; +30 AuthorsMcbratney, Alex B.
Harvested from ORCID Public Data FileMcbratney, Alex B. in OpenAIRE Minasny, Budiman; Malone, Brendan P.;Minasny, Budiman
Harvested from ORCID Public Data FileMinasny, Budiman in OpenAIRE Mcbratney, Alex B.; Angers, Denis A.;Mcbratney, Alex B.
Harvested from ORCID Public Data FileMcbratney, Alex B. in OpenAIRE Arrouays, Dominique; Chambers, Adam;Arrouays, Dominique
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesArrouays, Dominique in OpenAIRE Chaplot, Vincent; Chen, Zueng-Sang;Chaplot, Vincent
Harvested from ORCID Public Data FileChaplot, Vincent in OpenAIRE Cheng, Kun; Cheng, Kun
Harvested from ORCID Public Data FileCheng, Kun in OpenAIRE Das, Bhabani S.; Das, Bhabani S.
Harvested from ORCID Public Data FileDas, Bhabani S. in OpenAIRE Field, Damien J.; Gimona, Alessandro;Field, Damien J.
Harvested from ORCID Public Data FileField, Damien J. in OpenAIRE Hedley, Carolyn B.; Hong, Suk Young; Mandal, Biswapati;Hedley, Carolyn B.
Harvested from ORCID Public Data FileHedley, Carolyn B. in OpenAIRE Marchant, Ben P.; Marchant, Ben P.
Harvested from ORCID Public Data FileMarchant, Ben P. in OpenAIRE Martin, Manuel; Mcconkey, Brian G.;Martin, Manuel
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMartin, Manuel in OpenAIRE Mulder, Vera Leatitia; Mulder, Vera Leatitia
Harvested from ORCID Public Data FileMulder, Vera Leatitia in OpenAIRE O'Rourke, Sharon; O'Rourke, Sharon
Harvested from ORCID Public Data FileO'Rourke, Sharon in OpenAIRE Richer-De-Forges, Anne C; Odeh, Inakwu;Richer-De-Forges, Anne C
Harvested from ORCID Public Data FileRicher-De-Forges, Anne C in OpenAIRE Padarian, José; Paustian, Keith; Pan, Genxing;Padarian, José
Harvested from ORCID Public Data FilePadarian, José in OpenAIRE Poggio, Laura; Poggio, Laura
Harvested from ORCID Public Data FilePoggio, Laura in OpenAIRE Savin, Igor; Stolbovoy, Vladimir;Savin, Igor
Harvested from ORCID Public Data FileSavin, Igor in OpenAIRE Stockmann, Uta; Stockmann, Uta
Harvested from ORCID Public Data FileStockmann, Uta in OpenAIRE Sulaeman, Yiyi; Tsui, Chun-Chih;Sulaeman, Yiyi
Harvested from ORCID Public Data FileSulaeman, Yiyi in OpenAIRE Vågen, Tor-Gunnar; Vågen, Tor-Gunnar
Harvested from ORCID Public Data FileVågen, Tor-Gunnar in OpenAIRE van Wesemael, Bas; Winowiecki, Leigh;van Wesemael, Bas
Harvested from ORCID Public Data Filevan Wesemael, Bas in OpenAIREThe ‘4 per mille Soils for Food Security and Climate’ was launched at the COP21 with an aspiration to increase global soil organic matter stocks by 4 per 1000 (or 0.4 %) per year as a compensation for the global emissions of greenhouse gases by anthropogenic sources. This paper surveyed the soil organic carbon (SOC) stock estimates and sequestration potentials from 20 regions in the world (New Zealand, Chile, South Africa, Australia, Tanzania, Indonesia, Kenya, Nigeria, India, China Taiwan, South Korea, China Mainland, United States of America, France, Canada, Belgium, England & Wales, Ireland, Scotland, and Russia). We asked whether the 4 per mille initiative is feasible for the region. The outcomes highlight region specific efforts and scopes for soil carbon sequestration. Reported soil C sequestration rates globally show that under best management practices, 4 per mille or even higher sequestration rates can be accomplished. High C sequestration rates (up to 10 per mille) can be achieved for soils with low initial SOC stock (topsoil less than 30 t C ha− 1), and at the first twenty years after implementation of best management practices. In addition, areas which have reached equilibrium will not be able to further increase their sequestration. We found that most studies on SOC sequestration only consider topsoil (up to 0.3 m depth), as it is considered to be most affected by management techniques. The 4 per mille number was based on a blanket calculation of the whole global soil profile C stock, however the potential to increase SOC is mostly on managed agricultural lands. If we consider 4 per mille in the top 1m of global agricultural soils, SOC sequestration is between 2-3 Gt C year− 1, which effectively offset 20–35% of global anthropogenic greenhouse gas emissions. As a strategy for climate change mitigation, soil carbon sequestration buys time over the next ten to twenty years while other effective sequestration and low carbon technologies become viable. The challenge for cropping farmers is to find disruptive technologies that will further improve soil condition and deliver increased soil carbon. Progress in 4 per mille requires collaboration and communication between scientists, farmers, policy makers, and marketeers.
Access RoutesGreen hybrid 2K citations 1,540 popularity Top 0.01% influence Top 0.1% impulse Top 0.01% Powered by BIP!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.<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.geoderma.2017.01.002&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - RSF| Large-scale digital soil mapping based on remote sensing data ,ARC| Dynamic soil landscape carbon modelling Minasny, Budiman; Malone, Brendan P.;
Minasny, Budiman
Harvested from ORCID Public Data FileMinasny, Budiman in OpenAIRE Mcbratney, Alex B.; Angers, Denis A.; +30 AuthorsMcbratney, Alex B.
Harvested from ORCID Public Data FileMcbratney, Alex B. in OpenAIRE Minasny, Budiman; Malone, Brendan P.;Minasny, Budiman
Harvested from ORCID Public Data FileMinasny, Budiman in OpenAIRE Mcbratney, Alex B.; Angers, Denis A.;Mcbratney, Alex B.
Harvested from ORCID Public Data FileMcbratney, Alex B. in OpenAIRE Arrouays, Dominique; Chambers, Adam;Arrouays, Dominique
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesArrouays, Dominique in OpenAIRE Chaplot, Vincent; Chen, Zueng-Sang;Chaplot, Vincent
Harvested from ORCID Public Data FileChaplot, Vincent in OpenAIRE Cheng, Kun; Cheng, Kun
Harvested from ORCID Public Data FileCheng, Kun in OpenAIRE Das, Bhabani S.; Das, Bhabani S.
Harvested from ORCID Public Data FileDas, Bhabani S. in OpenAIRE Field, Damien J.; Gimona, Alessandro;Field, Damien J.
Harvested from ORCID Public Data FileField, Damien J. in OpenAIRE Hedley, Carolyn B.; Hong, Suk Young; Mandal, Biswapati;Hedley, Carolyn B.
Harvested from ORCID Public Data FileHedley, Carolyn B. in OpenAIRE Marchant, Ben P.; Marchant, Ben P.
Harvested from ORCID Public Data FileMarchant, Ben P. in OpenAIRE Martin, Manuel; Mcconkey, Brian G.;Martin, Manuel
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMartin, Manuel in OpenAIRE Mulder, Vera Leatitia; Mulder, Vera Leatitia
Harvested from ORCID Public Data FileMulder, Vera Leatitia in OpenAIRE O'Rourke, Sharon; O'Rourke, Sharon
Harvested from ORCID Public Data FileO'Rourke, Sharon in OpenAIRE Richer-De-Forges, Anne C; Odeh, Inakwu;Richer-De-Forges, Anne C
Harvested from ORCID Public Data FileRicher-De-Forges, Anne C in OpenAIRE Padarian, José; Paustian, Keith; Pan, Genxing;Padarian, José
Harvested from ORCID Public Data FilePadarian, José in OpenAIRE Poggio, Laura; Poggio, Laura
Harvested from ORCID Public Data FilePoggio, Laura in OpenAIRE Savin, Igor; Stolbovoy, Vladimir;Savin, Igor
Harvested from ORCID Public Data FileSavin, Igor in OpenAIRE Stockmann, Uta; Stockmann, Uta
Harvested from ORCID Public Data FileStockmann, Uta in OpenAIRE Sulaeman, Yiyi; Tsui, Chun-Chih;Sulaeman, Yiyi
Harvested from ORCID Public Data FileSulaeman, Yiyi in OpenAIRE Vågen, Tor-Gunnar; Vågen, Tor-Gunnar
Harvested from ORCID Public Data FileVågen, Tor-Gunnar in OpenAIRE van Wesemael, Bas; Winowiecki, Leigh;van Wesemael, Bas
Harvested from ORCID Public Data Filevan Wesemael, Bas in OpenAIREThe ‘4 per mille Soils for Food Security and Climate’ was launched at the COP21 with an aspiration to increase global soil organic matter stocks by 4 per 1000 (or 0.4 %) per year as a compensation for the global emissions of greenhouse gases by anthropogenic sources. This paper surveyed the soil organic carbon (SOC) stock estimates and sequestration potentials from 20 regions in the world (New Zealand, Chile, South Africa, Australia, Tanzania, Indonesia, Kenya, Nigeria, India, China Taiwan, South Korea, China Mainland, United States of America, France, Canada, Belgium, England & Wales, Ireland, Scotland, and Russia). We asked whether the 4 per mille initiative is feasible for the region. The outcomes highlight region specific efforts and scopes for soil carbon sequestration. Reported soil C sequestration rates globally show that under best management practices, 4 per mille or even higher sequestration rates can be accomplished. High C sequestration rates (up to 10 per mille) can be achieved for soils with low initial SOC stock (topsoil less than 30 t C ha− 1), and at the first twenty years after implementation of best management practices. In addition, areas which have reached equilibrium will not be able to further increase their sequestration. We found that most studies on SOC sequestration only consider topsoil (up to 0.3 m depth), as it is considered to be most affected by management techniques. The 4 per mille number was based on a blanket calculation of the whole global soil profile C stock, however the potential to increase SOC is mostly on managed agricultural lands. If we consider 4 per mille in the top 1m of global agricultural soils, SOC sequestration is between 2-3 Gt C year− 1, which effectively offset 20–35% of global anthropogenic greenhouse gas emissions. As a strategy for climate change mitigation, soil carbon sequestration buys time over the next ten to twenty years while other effective sequestration and low carbon technologies become viable. The challenge for cropping farmers is to find disruptive technologies that will further improve soil condition and deliver increased soil carbon. Progress in 4 per mille requires collaboration and communication between scientists, farmers, policy makers, and marketeers.
Access RoutesGreen hybrid 2K citations 1,540 popularity Top 0.01% influence Top 0.1% impulse Top 0.01% Powered by BIP!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.<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.geoderma.2017.01.002&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Rahmat Khezri; Amin Mahmoudi; Hirohisa Aki;
Amin Mahmoudi
Harvested from ORCID Public Data FileAmin Mahmoudi in OpenAIREAbstract Integration of solar photovoltaic (PV) and battery storage systems is an upward trend for residential sector to achieve major targets like minimizing the electricity bill, grid dependency, emission and so forth. In recent years, there has been a rapid deployment of PV and battery installation in residential sector. In this regard, optimal planning of PV-battery systems is a critical issue for the designers, consumers, and network operators due to high number of parameters that can affect the optimization problem. This paper aims to present a comprehensive and critical review on the effective parameters in optimal planning process of solar PV and battery storage system for grid-connected residential sector. The key parameters in process of optimal planning for PV-battery system are recognized and explained. These parameters are economic and technical data, objective functions, energy management systems, design constraints, optimization algorithms, and electricity pricing programs. A timely review on the state-of-the-art studies in PV-battery optimal planning is presented. The challenges, trends and latest developments in the topic are discussed. At the end, scopes for future studies are developed. It is found that new guidelines should be provided for the customers based on various electricity rates and demand response programs. Also, several design considerations like grid dependency and resiliency need further investigation in the optimal planning of PV-battery systems.
Access Routesbronze 166 citations 166 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!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.<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.rser.2021.111763&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Rahmat Khezri; Amin Mahmoudi; Hirohisa Aki;
Amin Mahmoudi
Harvested from ORCID Public Data FileAmin Mahmoudi in OpenAIREAbstract Integration of solar photovoltaic (PV) and battery storage systems is an upward trend for residential sector to achieve major targets like minimizing the electricity bill, grid dependency, emission and so forth. In recent years, there has been a rapid deployment of PV and battery installation in residential sector. In this regard, optimal planning of PV-battery systems is a critical issue for the designers, consumers, and network operators due to high number of parameters that can affect the optimization problem. This paper aims to present a comprehensive and critical review on the effective parameters in optimal planning process of solar PV and battery storage system for grid-connected residential sector. The key parameters in process of optimal planning for PV-battery system are recognized and explained. These parameters are economic and technical data, objective functions, energy management systems, design constraints, optimization algorithms, and electricity pricing programs. A timely review on the state-of-the-art studies in PV-battery optimal planning is presented. The challenges, trends and latest developments in the topic are discussed. At the end, scopes for future studies are developed. It is found that new guidelines should be provided for the customers based on various electricity rates and demand response programs. Also, several design considerations like grid dependency and resiliency need further investigation in the optimal planning of PV-battery systems.
Access Routesbronze 166 citations 166 popularity Top 1% influence Top 10% impulse Top 0.1% Powered by BIP!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.<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.rser.2021.111763&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Emil Jonescu; Titus Mercea; Khoa Do; Monty Sutrisna;
Emil Jonescu
Harvested from ORCID Public Data FileEmil Jonescu in OpenAIRECo-generation of energy derived from human movement is not new. Intentionally accumulating energy, from mass urban-mobility, provides opportunities to re-purpose power. However, when mass-mobility is predictable, yet not harnessed, this highlights critical gaps in application of interdisciplinary knowledge. This research highlights a novel application of geostatistical modelling for the built environment with the purpose of understanding where energy harvesting infrastructure should be located. The work presented argues that advanced Geostatistical methods can be implemented as an appropriate method to predict probability distribution, density, clustering of populations and mass-population mobility patterns from large-scale online distributed and heterogeneous data sets published by the Australian Urban Research Infrastructure Network. Where clear urban spatio-behavioural relationships of density and movement can be predicted – understanding such patterns supports cross-disciplinary city planning and decision-making. A data-informed – predictive spatial decision-making framework is proposed – facilitating the endeavour of cogenerating kinetic human energy within a prescribed space. This novel proposition could further sustainability strategies for compact living for cities such as in Perth, Western Australia which is increasingly economically and geographically pressured to densify. This research argues that surveillance data elucidate a capacity to interpret and understand impacts of densification strategies, efficacy of CCTV networks in existing and emerging cities.
Access Routesgold 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!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.<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=10.1080/21650020.2019.1703800&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Emil Jonescu; Titus Mercea; Khoa Do; Monty Sutrisna;
Emil Jonescu
Harvested from ORCID Public Data FileEmil Jonescu in OpenAIRECo-generation of energy derived from human movement is not new. Intentionally accumulating energy, from mass urban-mobility, provides opportunities to re-purpose power. However, when mass-mobility is predictable, yet not harnessed, this highlights critical gaps in application of interdisciplinary knowledge. This research highlights a novel application of geostatistical modelling for the built environment with the purpose of understanding where energy harvesting infrastructure should be located. The work presented argues that advanced Geostatistical methods can be implemented as an appropriate method to predict probability distribution, density, clustering of populations and mass-population mobility patterns from large-scale online distributed and heterogeneous data sets published by the Australian Urban Research Infrastructure Network. Where clear urban spatio-behavioural relationships of density and movement can be predicted – understanding such patterns supports cross-disciplinary city planning and decision-making. A data-informed – predictive spatial decision-making framework is proposed – facilitating the endeavour of cogenerating kinetic human energy within a prescribed space. This novel proposition could further sustainability strategies for compact living for cities such as in Perth, Western Australia which is increasingly economically and geographically pressured to densify. This research argues that surveillance data elucidate a capacity to interpret and understand impacts of densification strategies, efficacy of CCTV networks in existing and emerging cities.
Access Routesgold 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!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.<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=10.1080/21650020.2019.1703800&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu
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