Evaluating and Prioritizing Circular Supply Chain Alternatives in the Energy Context with a Holistic Multi-Indicator Decision Support System
Transitioning to a circular economy is crucial for sustainable energy development; yet, current energy supply chains lack comprehensive assessment tools. This study introduces the Holistic Multi-Indicator Decision Support System (HMI_DSS), an innovative tool grounded in life cycle thinking and advan...
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| Language: | English |
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MDPI AG
2024-10-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/17/20/5179 |
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| author | Thanh Quang Nguyen Sonia Longo Maurizio Cellura Le Quyen Luu Alessandra Bertoli Letizia Bua |
| author_facet | Thanh Quang Nguyen Sonia Longo Maurizio Cellura Le Quyen Luu Alessandra Bertoli Letizia Bua |
| author_sort | Thanh Quang Nguyen |
| collection | DOAJ |
| description | Transitioning to a circular economy is crucial for sustainable energy development; yet, current energy supply chains lack comprehensive assessment tools. This study introduces the Holistic Multi-Indicator Decision Support System (HMI_DSS), an innovative tool grounded in life cycle thinking and advanced multi-criteria decision-making methodologies, including Entropy and PROMETHEE II. The HMI_DSS quantifies and assesses sustainability and circularity in energy systems by employing 49 indicators, with a focus on energy efficiency and greenhouse gas emissions. A case study on the rice straw energy supply chain for biogas production illustrates the tool’s effectiveness, comparing a baseline scenario to an alternative. The results show that the global warming potential (GWP) of the baseline is 122 gCO<sub>2</sub>eq/kWh, while the alternative is 116 gCO<sub>2</sub>eq/kWh. However, the baseline scenario has lower energy consumption (1.72 × 10<sup>7</sup> MJ annually) than the alternative (1.98 × 10<sup>7</sup> MJ). Overall, the alternative outperforms the baseline in terms of sustainability and circularity. The HMI_DSS offers a flexible and robust framework for evaluating trade-offs in energy systems, providing valuable insights for energy companies and researchers in adopting circular economy principles to achieve sustainable development. |
| format | Article |
| id | doaj-art-ec6ac3e508924546b7cc040b8947e76f |
| institution | OA Journals |
| issn | 1996-1073 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-ec6ac3e508924546b7cc040b8947e76f2025-08-20T02:11:12ZengMDPI AGEnergies1996-10732024-10-011720517910.3390/en17205179Evaluating and Prioritizing Circular Supply Chain Alternatives in the Energy Context with a Holistic Multi-Indicator Decision Support SystemThanh Quang Nguyen0Sonia Longo1Maurizio Cellura2Le Quyen Luu3Alessandra Bertoli4Letizia Bua5Department of Engineering, University of Palermo, Viale delle Scienze Ed. 9, 90128 Palermo, ItalyDepartment of Engineering, University of Palermo, Viale delle Scienze Ed. 9, 90128 Palermo, ItalyDepartment of Engineering, University of Palermo, Viale delle Scienze Ed. 9, 90128 Palermo, ItalyDepartment of Engineering, University of Palermo, Viale delle Scienze Ed. 9, 90128 Palermo, ItalyENI SpA, R&D, Via G. Fauser 4, 28100 Novara, ItalyENI SpA, R&D, Via G. Fauser 4, 28100 Novara, ItalyTransitioning to a circular economy is crucial for sustainable energy development; yet, current energy supply chains lack comprehensive assessment tools. This study introduces the Holistic Multi-Indicator Decision Support System (HMI_DSS), an innovative tool grounded in life cycle thinking and advanced multi-criteria decision-making methodologies, including Entropy and PROMETHEE II. The HMI_DSS quantifies and assesses sustainability and circularity in energy systems by employing 49 indicators, with a focus on energy efficiency and greenhouse gas emissions. A case study on the rice straw energy supply chain for biogas production illustrates the tool’s effectiveness, comparing a baseline scenario to an alternative. The results show that the global warming potential (GWP) of the baseline is 122 gCO<sub>2</sub>eq/kWh, while the alternative is 116 gCO<sub>2</sub>eq/kWh. However, the baseline scenario has lower energy consumption (1.72 × 10<sup>7</sup> MJ annually) than the alternative (1.98 × 10<sup>7</sup> MJ). Overall, the alternative outperforms the baseline in terms of sustainability and circularity. The HMI_DSS offers a flexible and robust framework for evaluating trade-offs in energy systems, providing valuable insights for energy companies and researchers in adopting circular economy principles to achieve sustainable development.https://www.mdpi.com/1996-1073/17/20/5179decision support systemsustainabilitycircular economycircularitylife cycle thinkingmulti-criteria decision-making |
| spellingShingle | Thanh Quang Nguyen Sonia Longo Maurizio Cellura Le Quyen Luu Alessandra Bertoli Letizia Bua Evaluating and Prioritizing Circular Supply Chain Alternatives in the Energy Context with a Holistic Multi-Indicator Decision Support System Energies decision support system sustainability circular economy circularity life cycle thinking multi-criteria decision-making |
| title | Evaluating and Prioritizing Circular Supply Chain Alternatives in the Energy Context with a Holistic Multi-Indicator Decision Support System |
| title_full | Evaluating and Prioritizing Circular Supply Chain Alternatives in the Energy Context with a Holistic Multi-Indicator Decision Support System |
| title_fullStr | Evaluating and Prioritizing Circular Supply Chain Alternatives in the Energy Context with a Holistic Multi-Indicator Decision Support System |
| title_full_unstemmed | Evaluating and Prioritizing Circular Supply Chain Alternatives in the Energy Context with a Holistic Multi-Indicator Decision Support System |
| title_short | Evaluating and Prioritizing Circular Supply Chain Alternatives in the Energy Context with a Holistic Multi-Indicator Decision Support System |
| title_sort | evaluating and prioritizing circular supply chain alternatives in the energy context with a holistic multi indicator decision support system |
| topic | decision support system sustainability circular economy circularity life cycle thinking multi-criteria decision-making |
| url | https://www.mdpi.com/1996-1073/17/20/5179 |
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