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Stakeholder-driven multi-attribute analysis for energy project selection under uncertainty

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  • Read, Laura
  • Madani, Kaveh
  • Mokhtari, Soroush
  • Hanks, Catherine

Abstract

In practice, selecting an energy project for development requires balancing criteria and competing stakeholder priorities to identify the best alternative. Energy source selection can be modeled as multi-criteria decision-maker problems to provide quantitative support to reconcile technical, economic, environmental, social, and political factors with respect to the stakeholders' interests. Decision making among these complex interactions should also account for the uncertainty present in the input data. In response, this work develops a stochastic decision analysis framework to evaluate alternatives by involving stakeholders to identify both quantitative and qualitative selection criteria and performance metrics which carry uncertainties. The developed framework is illustrated using a case study from Fairbanks, Alaska, where decision makers and residents must decide on a new source of energy for heating and electricity. We approach this problem in a five step methodology: (1) engaging experts (role players) to develop criteria of project performance; (2) collecting a range of quantitative and qualitative input information to determine the performance of each proposed solution according to the selected criteria; (3) performing a Monte-Carlo analysis to capture uncertainties given in the inputs; (4) applying multi-criteria decision-making, social choice (voting), and fallback bargaining methods to account for three different levels of cooperation among the stakeholders; and (5) computing an aggregate performance index (API) score for each alternative based on its performance across criteria and cooperation levels. API scores communicate relative performance between alternatives. In this way, our methodology maps uncertainty from the input data to reflect risk in the decision and incorporates varying degrees of cooperation into the analysis to identify an optimal and practical alternative.

Suggested Citation

  • Read, Laura & Madani, Kaveh & Mokhtari, Soroush & Hanks, Catherine, 2017. "Stakeholder-driven multi-attribute analysis for energy project selection under uncertainty," Energy, Elsevier, vol. 119(C), pages 744-753.
  • Handle: RePEc:eee:energy:v:119:y:2017:i:c:p:744-753
    DOI: 10.1016/j.energy.2016.11.030
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    1. 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.
    2. Kaveh Madani & Laura Read & Laleh Shalikarian, 2014. "Voting Under Uncertainty: A Stochastic Framework for Analyzing Group Decision Making Problems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(7), pages 1839-1856, May.
    3. Baños, R. & Manzano-Agugliaro, F. & Montoya, F.G. & Gil, C. & Alcayde, A. & Gómez, J., 2011. "Optimization methods applied to renewable and sustainable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1753-1766, May.
    4. Bilge Yilmaz & Murat R. Sertel, 1999. "The majoritarian compromise is majoritarian-optimal and subgame-perfect implementable," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 16(4), pages 615-627.
    5. Kaveh Madani & Keith Hipel, 2011. "Non-Cooperative Stability Definitions for Strategic Analysis of Generic Water Resources Conflicts," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(8), pages 1949-1977, June.
    6. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    7. 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.
    8. Guldmann, Jean-Michel & Wang, Fahui, 1999. "Optimizing the natural gas supply mix of local distribution utilities," European Journal of Operational Research, Elsevier, vol. 112(3), pages 598-612, February.
    9. Abdolreza Yazdani-Chamzini & Mohammad Majid Fouladgar & Edmundas Kazimieras Zavadskas & S. Hamzeh Haji Moini, 2013. "Selecting the optimal renewable energy using multi criteria decision making," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 14(5), pages 957-978, November.
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    6. Hirmer, S.A. & George-Williams, H. & Rhys, J. & McNicholl, D. & McCulloch, M., 2021. "Stakeholder decision-making: Understanding Sierra Leone's energy sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).

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