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Selection of MCA methods to support decision making for renewable energy developments

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  • Kurka, Thomas
  • Blackwood, David

Abstract

This paper presents a transferable and adaptable approach for selecting a suitable Multi-Criteria Analysis (MCA) method covering the stages of the ‘MCA cycle’ for decision making in the renewable energy sector. Selecting a suitable MCA method for an individual project or case study is a challenge due to the complexity of participatory sustainable decision making in this sector, as well as due to the complexity and large number of existing MCA methods. The methodology presented in this paper consists of both, generic and case-study specific parts.

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  • Kurka, Thomas & Blackwood, David, 2013. "Selection of MCA methods to support decision making for renewable energy developments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 225-233.
    • Handle: RePEc:eee:rensus:v:27:y:2013:i:c:p:225-233
    DOI: 10.1016/j.rser.2013.07.001
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    6. Baudry, Gino & Macharis, Cathy & Vallée, Thomas, 2018. "Range-based Multi-Actor Multi-Criteria Analysis: A combined method of Multi-Actor Multi-Criteria Analysis and Monte Carlo simulation to support participatory decision making under uncertainty," European Journal of Operational Research, Elsevier, vol. 264(1), pages 257-269.
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    17. Chiranjib Bhowmik & Sumit Bhowmik & Amitava Ray, 2021. "Selection of optimum green energy sources by considering environmental constructs and their technical criteria: a case study," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13890-13918, September.
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