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A decision model for energy resource selection in China

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  • Wang, Bing
  • Kocaoglu, Dundar F.
  • Daim, Tugrul U.
  • Yang, Jiting

Abstract

This paper evaluates coal, petroleum, natural gas, nuclear energy and renewable energy resources as energy alternatives for China through use of a hierarchical decision model. The results indicate that although coal is still the major preferred energy alternative, it is followed closely by renewable energy. The sensitivity analysis indicates that the most critical criterion for energy selection is the current energy infrastructure. A hierarchical decision model is used, and expert judgments are quantified, to evaluate the alternatives. Criteria used for the evaluations are availability, current energy infrastructure, price, safety, environmental impacts and social impacts.

Suggested Citation

  • Wang, Bing & Kocaoglu, Dundar F. & Daim, Tugrul U. & Yang, Jiting, 2010. "A decision model for energy resource selection in China," Energy Policy, Elsevier, vol. 38(11), pages 7130-7141, November.
  • Handle: RePEc:eee:enepol:v:38:y:2010:i:11:p:7130-7141
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    Cited by:

    1. Iskin, Ibrahim & Daim, Tugrul & Kayakutlu, Gulgun & Altuntas, Mehmet, 2012. "Exploring renewable energy pricing with analytic network process — Comparing a developed and a developing economy," Energy Economics, Elsevier, vol. 34(4), pages 882-891.
    2. Çelikbilek, Yakup & Tüysüz, Fatih, 2016. "An integrated grey based multi-criteria decision making approach for the evaluation of renewable energy sources," Energy, Elsevier, vol. 115(P1), pages 1246-1258.
    3. Chen, Yizhong & Lu, Hongwei & Li, Jing & Huang, Guohe & He, Li, 2016. "Regional planning of new-energy systems within multi-period and multi-option contexts: A case study of Fengtai, Beijing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 356-372.
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    5. Bao, Chao & Fang, Chuang-lin, 2013. "Geographical and environmental perspectives for the sustainable development of renewable energy in urbanizing China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 464-474.
    6. Haddad, Brahim & Liazid, Abdelkrim & Ferreira, Paula, 2017. "A multi-criteria approach to rank renewables for the Algerian electricity system," Renewable Energy, Elsevier, vol. 107(C), pages 462-472.
    7. Chen, Kuan-Li & Huang, Su-Han & Liu, Shiang-Yao, 2013. "Devising a framework for energy education in Taiwan using the analytic hierarchy process," Energy Policy, Elsevier, vol. 55(C), pages 396-403.
    8. repec:anm:alpnmr:v:5:y:2017:i:2:p:317-328 is not listed on IDEAS
    9. Ren, Jingzheng & Gao, Suzhao & Tan, Shiyu & Dong, Lichun, 2015. "Hydrogen economy in China: Strengths–weaknesses–opportunities–threats analysis and strategies prioritization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1230-1243.
    10. Alev Taskin Gumus & A. Yesim Yayla & Erkan Çelik & Aytac Yildiz, 2013. "A Combined Fuzzy-AHP and Fuzzy-GRA Methodology for Hydrogen Energy Storage Method Selection in Turkey," Energies, MDPI, Open Access Journal, vol. 6(6), pages 1-16, June.
    11. Ren, Jingzheng & Sovacool, Benjamin K., 2014. "Quantifying, measuring, and strategizing energy security: Determining the most meaningful dimensions and metrics," Energy, Elsevier, vol. 76(C), pages 838-849.
    12. Gitinavard, Hossein & Mousavi, S. Meysam & Vahdani, Behnam, 2017. "Soft computing based on hierarchical evaluation approach and criteria interdependencies for energy decision-making problems: A case study," Energy, Elsevier, vol. 118(C), pages 556-577.
    13. Yang, Mian & Yang, Fu-Xia & Chen, Xing-Peng, 2011. "Effects of substituting energy with capital on China's aggregated energy and environmental efficiency," Energy Policy, Elsevier, vol. 39(10), pages 6065-6072, October.
    14. Rojas-Zerpa, Juan C. & Yusta, Jose M., 2015. "Application of multicriteria decision methods for electric supply planning in rural and remote areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 557-571.

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