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Multi-Criteria Decision Aid for Sustainable Energy Prioritization Using Fuzzy Axiomatic Design

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  • Basar Oztaysi

    (Department of Industrial Engineering, Management Faculty, Istanbul Technical University, Maçka, Besiktas, Istanbul, Turkey)

  • Mine Isik

    (Department of Industrial Engineering, Management Faculty, Istanbul Technical University, Maçka, Besiktas, Istanbul, Turkey)

  • Secil Ercan

    (Department of Industrial Engineering, Management Faculty, Istanbul Technical University, Maçka, Besiktas, Istanbul, Turkey)

Abstract

Sustainability has gained tremendous importance and has been an important issue both for policy makers and practitioners. Realizing that the resources on the earth are limited, renewable energy alternatives have flourished and started to replace the conventional energy alternatives. Energy planning using different energy alternatives, for the long term becomes a vital decision. In this study, fuzzy multi criteria decision- making methodologies, axiomatic design (AD) and analytic hierarchy process (AHP) are utilized for ranking both renewable and conventional energy alternatives. In the first phase AHP is utilized to determine the importance of the criteria and in the second phase fuzzy AD is used to evaluate the experts’ assessments. In the case study, both conventional and renewable energy alternatives are evaluated according to technical, economical, air quality and site selection perspectives. The case study results show that the renewable energy alternatives (biomass, geothermal power and wind) perform better than the conventional energy resources.

Suggested Citation

  • Basar Oztaysi & Mine Isik & Secil Ercan, 2013. "Multi-Criteria Decision Aid for Sustainable Energy Prioritization Using Fuzzy Axiomatic Design," International Journal of Energy Optimization and Engineering (IJEOE), IGI Global, vol. 2(1), pages 1-20, January.
    • Handle: RePEc:igg:jeoe00:v:2:y:2013:i:1:p:1-20
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    Cited by:

    1. Jaemyung Ahn & Minkyu Choi & Eun Suk Suh, 2018. "Entropy‐based system assessment metric for determining architecture's robustness to different stakeholder perspectives," Systems Engineering, John Wiley & Sons, vol. 21(5), pages 476-489, September.
    2. Abdulla Alabbasi & Jhuma Sadhukhan & Matthew Leach & Mohammed Sanduk, 2022. "Sustainable Indicators for Integrating Renewable Energy in Bahrain’s Power Generation," Sustainability, MDPI, vol. 14(11), pages 1-19, May.

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