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Evaluating and Prioritizing Circular Supply Chain Alternatives in the Energy Context with a Holistic Multi-Indicator Decision Support System

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  • Thanh Quang Nguyen

    (Department of Engineering, University of Palermo, Viale delle Scienze Ed. 9, 90128 Palermo, Italy
    Hanoi School of Business and Management (HSB), Vietnam National University, Hanoi (VNU), B1, 144 Xuan Thuy, Cau Giay, Hanoi 10000, Vietnam)

  • Sonia Longo

    (Department of Engineering, University of Palermo, Viale delle Scienze Ed. 9, 90128 Palermo, Italy
    Centre for Sustainability and Ecological Transition, University of Palermo, Complesso Monumentale dello Steri, Piazza Marina 61, 90133 Palermo, Italy)

  • Maurizio Cellura

    (Department of Engineering, University of Palermo, Viale delle Scienze Ed. 9, 90128 Palermo, Italy
    Centre for Sustainability and Ecological Transition, University of Palermo, Complesso Monumentale dello Steri, Piazza Marina 61, 90133 Palermo, Italy)

  • Le Quyen Luu

    (Department of Engineering, University of Palermo, Viale delle Scienze Ed. 9, 90128 Palermo, Italy
    Institute of Science and Technology for Energy and Environment, Vietnam Academy of Science and Technology, A30 Building, 18 Hoang Quoc Viet, Cau GIay District, Hanoi 10000, Vietnam)

  • Alessandra Bertoli

    (ENI SpA, R&D, Via G. Fauser 4, 28100 Novara, Italy)

  • Letizia Bua

    (ENI SpA, R&D, Via G. Fauser 4, 28100 Novara, Italy)

Abstract

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 2 eq/kWh, while the alternative is 116 gCO 2 eq/kWh. However, the baseline scenario has lower energy consumption (1.72 × 10 7 MJ annually) than the alternative (1.98 × 10 7 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.

Suggested Citation

  • Thanh Quang Nguyen & Sonia Longo & Maurizio Cellura & Le Quyen Luu & Alessandra Bertoli & Letizia Bua, 2024. "Evaluating and Prioritizing Circular Supply Chain Alternatives in the Energy Context with a Holistic Multi-Indicator Decision Support System," Energies, MDPI, vol. 17(20), pages 1-32, October.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:20:p:5179-:d:1501002
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    References listed on IDEAS

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    1. Wei En Tan & Peng Yen Liew & Lian See Tan & Kok Sin Woon & Nor Erniza Mohammad Rozali & Wai Shin Ho & Jamian NorRuwaida, 2022. "Life Cycle Assessment and Techno-Economic Analysis for Anaerobic Digestion as Cow Manure Management System," Energies, MDPI, vol. 15(24), pages 1-16, December.
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    4. Behzadian, Majid & Kazemzadeh, R.B. & Albadvi, A. & Aghdasi, M., 2010. "PROMETHEE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 200(1), pages 198-215, January.
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