A survey of Multi-Criteria Decision Making Technique used in Renewable Energy Planning

Authors

  • Benjamin A Shimray Department of Electrical Engineering, National Institute of Technology Manipur, 795004, India, Tel.: +91-9089357544
  • Kh. Manglem Singh Department of Computer Science & Engineering, National Institute of Technology Manipur, 795004, India
  • R. K Mehta Department of Electrical Engineering, NERIST, 791109, India

Keywords:

Multi Criteria Decision Making (MCDM), Renewable Energy, Sustainable energy, Criteria selection, linguistic variables.

Abstract

Fossil based oil, gas and coal reserves will exhaust in few decades and the accelerated demand for conventional energy have forced planners and policy makers to look for alternate sources of Energy. Renewable energies option serves as a solutions for a sustainable, environmentally friendly and long-term cost effective sources of energies to meet our ever increasing needs of energy.  Renewable energy sites selection can be viewed as a Multiple Criteria Decision Making (MCDM) problem. MCDM is a complex Decision Making (DM) tools as it involves both quantitative and qualitative criteria. In recent years, several MCDM techniques and approaches have been suggested to solve energy planning problems. The main objective of this paper is to systematically review MCDM techniques and approaches in sustainable and renewable energy planning problems. A review of more than 100 published papers based on MCDM analysis is studied and presented in this paper. Findings of this review paper confirm that MCDM techniques can assist stakeholders and decision makers in unravelling some of the uncertainties inherent in renewable energy decision making. Classification of methodology used, criteria selection and application area are summarized and presented.

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2017-05-28

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A Shimray, B., Singh, K. M., & Mehta, R. K. (2017). A survey of Multi-Criteria Decision Making Technique used in Renewable Energy Planning. International Journal of Computer (IJC), 25(1), 124–140. Retrieved from https://www.ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/967

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Vol. 25 No. 1 (2017)

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