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Modelling policy decision of sustainable energy strategies for Nanjing city: A fuzzy integral approach

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  • Zhang, Ling
  • Zhou, De-Qun
  • Zhou, Peng
  • Chen, Qi-Ting

Abstract

Regional energy plans play a significant role in promoting the sustainable development of different regions in China. Most regions of China have formulated their energy plans. Selecting a reasonable sustainable energy plan is complex and involves a number of interactive criteria (e.g. technology, environment, economy and society). The traditional decision analysis methods, such as analytical hierarchy process and cost-benefit analysis, are not sufficient to integrate all the criteria with mutual interaction. On the contrary, the fuzzy integral methods provide a tool to resolve this problem and offer valid decision support since it is more appropriate to assemble and handle decision problems with interaction. This paper presents λ fuzzy measure and fuzzy integral method for selecting the sustainable energy plan of Nanjing city in China. A set of energy planning alternatives are determined upon the implementation of installations of sustainable energy sources in Nanjing and assessed against economic, technological, social and environmental criteria.

Suggested Citation

  • Zhang, Ling & Zhou, De-Qun & Zhou, Peng & Chen, Qi-Ting, 2014. "Modelling policy decision of sustainable energy strategies for Nanjing city: A fuzzy integral approach," Renewable Energy, Elsevier, vol. 62(C), pages 197-203.
    • Handle: RePEc:eee:renene:v:62:y:2014:i:c:p:197-203
    DOI: 10.1016/j.renene.2013.06.044
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    as
    1. Patlitzianas, Konstantinos D. & Psarras, John, 2007. "Formulating a modern energy companies' environment in the EU accession member states through a decision support methodology," Energy Policy, Elsevier, vol. 35(4), pages 2231-2238, April.
    2. Madlener, Reinhard & Kowalski, Katharina & Stagl, Sigrid, 2007. "New ways for the integrated appraisal of national energy scenarios: The case of renewable energy use in Austria," Energy Policy, Elsevier, vol. 35(12), pages 6060-6074, December.
    3. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhao, Jun-Hong, 2009. "Review on multi-criteria decision analysis aid in sustainable energy decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2263-2278, December.
    4. Heo, Eunnyeong & Kim, Jinsoo & Boo, Kyung-Jin, 2010. "Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2214-2220, October.
    5. Maiga, A.S. & Chen, G.M. & Wang, Q. & Xu, J.Y., 2008. "Renewable energy options for a Sahel country: Mali," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(2), pages 564-574, February.
    6. Kahraman, Cengiz & Kaya, İhsan & Cebi, Selcuk, 2009. "A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process," Energy, Elsevier, vol. 34(10), pages 1603-1616.
    7. Tsoutsos, Theocharis & Drandaki, Maria & Frantzeskaki, Niki & Iosifidis, Eleftherios & Kiosses, Ioannis, 2009. "Sustainable energy planning by using multi-criteria analysis application in the island of Crete," Energy Policy, Elsevier, vol. 37(5), pages 1587-1600, May.
    8. Chatzimouratidis, Athanasios I. & Pilavachi, Petros A., 2008. "Multicriteria evaluation of power plants impact on the living standard using the analytic hierarchy process," Energy Policy, Elsevier, vol. 36(3), pages 1074-1089, March.
    9. Shen, Yung-Chi & Lin, Grace T.R. & Li, Kuang-Pin & Yuan, Benjamin J.C., 2010. "An assessment of exploiting renewable energy sources with concerns of policy and technology," Energy Policy, Elsevier, vol. 38(8), pages 4604-4616, August.
    10. Kaya, Tolga & Kahraman, Cengiz, 2010. "Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul," Energy, Elsevier, vol. 35(6), pages 2517-2527.
    11. Marichal, Jean-Luc, 2002. "Entropy of discrete Choquet capacities," European Journal of Operational Research, Elsevier, vol. 137(3), pages 612-624, March.
    12. Grabisch, Michel, 1996. "The application of fuzzy integrals in multicriteria decision making," European Journal of Operational Research, Elsevier, vol. 89(3), pages 445-456, March.
    Full references (including those not matched with items on IDEAS)

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