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Selection of sustainable alternative energy source for shipping: Multi-criteria decision making under incomplete information

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  • Ren, Jingzheng
  • Lützen, Marie

Abstract

The selection of alternative energy sources for shipping can effectively mitigate the problems of high energy consumption and severe environmental problems caused by shipping. However, it is usually difficult for decision makers to select the most sustainable alternative energy source for shipping among multiple alternatives due to the complexity of considering different aspects of performances and the lack of information. This study developed a novel multi-criteria decision-making method that combines Dempster-Shafer theory and a trapezoidal fuzzy analytic hierarchy process for alternative energy source selection under incomplete information conditions. According to the developed method, nuclear power has been recognized as the most sustainable alternative energy source for shipping, followed by liquefied natural gas (LNG) and wind power, and sensitivity analysis reveals that the weights of the criteria have significant on the sustainability sequence of the three alternative energy sources for shipping. The developed method can be popularized for selecting the most sustainable alternative energy source despite incomplete information.

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  • Ren, Jingzheng & Lützen, Marie, 2017. "Selection of sustainable alternative energy source for shipping: Multi-criteria decision making under incomplete information," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1003-1019.
    • Handle: RePEc:eee:rensus:v:74:y:2017:i:c:p:1003-1019
    DOI: 10.1016/j.rser.2017.03.057
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    6. Wu, Yunna & Wang, Jing & Ji, Shaoyu & Song, Zixin, 2020. "Renewable energy investment risk assessment for nations along China’s Belt & Road Initiative: An ANP-cloud model method," Energy, Elsevier, vol. 190(C).
    7. Abdel-Basset, Mohamed & Gamal, Abduallah & Chakrabortty, Ripon K. & Ryan, Michael J., 2021. "Evaluation approach for sustainable renewable energy systems under uncertain environment: A case study," Renewable Energy, Elsevier, vol. 168(C), pages 1073-1095.
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    9. Wang, Tingsong & Cheng, Peiyue & Zhen, Lu, 2023. "Green development of the maritime industry: Overview, perspectives, and future research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    10. Young-Tae Chang & Denise Danao, 2017. "Green Shipping Practices of Shipping Firms," Sustainability, MDPI, vol. 9(5), pages 1-23, May.
    11. Zheng, Wei & Li, Bo & Song, Dongping, 2022. "The optimal green strategies for competitive ocean carriers under potential regulation," European Journal of Operational Research, Elsevier, vol. 303(2), pages 840-856.
    12. Indre Siksnelyte & Edmundas Kazimieras Zavadskas & Dalia Streimikiene & Deepak Sharma, 2018. "An Overview of Multi-Criteria Decision-Making Methods in Dealing with Sustainable Energy Development Issues," Energies, MDPI, vol. 11(10), pages 1-21, October.
    13. Hu, Hongtao & Yuan, Jun & Nian, Victor, 2019. "Development of a multi-objective decision-making method to evaluate correlated decarbonization measures under uncertainty – The example of international shipping," Transport Policy, Elsevier, vol. 82(C), pages 148-157.
    14. Ilbahar, Esra & Kahraman, Cengiz & Cebi, Selcuk, 2022. "Risk assessment of renewable energy investments: A modified failure mode and effect analysis based on prospect theory and intuitionistic fuzzy AHP," Energy, Elsevier, vol. 239(PA).
    15. Li Chin Law & Beatrice Foscoli & Epaminondas Mastorakos & Stephen Evans, 2021. "A Comparison of Alternative Fuels for Shipping in Terms of Lifecycle Energy and Cost," Energies, MDPI, vol. 14(24), pages 1-32, December.
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    17. Atak, Üstün & Aydın, Umut & Menekşe, Akın, 2023. "An integrated decision-making approach under spherical fuzzy environment for selection of vessel main engines," Innovation and Green Development, Elsevier, vol. 2(2).

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