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A MCDM-based framework for the selection of renewable energy system simulation tool for teaching and learning at university level

Author

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  • Desmond Eseoghene Ighravwe

    (Bell University of Technology)

  • Moses Olubayo Babatunde

    (Tshwane University of Technology)

  • Thapelo Cornelius Mosetlhe

    (University of South Africa, Florida Campus)

  • Daniel Aikhuele

    (University of Port Harcourt)

  • Daniel Akinyele

    (Bell University of Technology)

Abstract

The calls for actions to combat climate change have resulted in renewable energy adoption and, consequently, an emerging renewable energy industry. Of course, this has also precipitated the need for more renewable energy expert grounded in hybrid renewable energy system (HRES) software to support the growing industry. Hence, selecting particular software for teaching renewable energy modules for the training of students at a university level is essential. The appraisal and selection of HRES sizing and optimisation software have become crucial for instructors and learners being prepared for the industry. This paper's central contribution is to provide academics, tutors, and researchers in the field of renewable energy system sizing with an idea on how to proficiently and effectively deploy multi-criteria decision-making (MCDM) approaches in HRES sizing and optimisation software selection problems. A framework that combines fuzzy entropy method and fuzzy-VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) was used to rank HRES simulation software. The performance of the framework was compared with that of the complex proportional assessment (COPRAS) method. The article observed a difference between the fuzzy VIKOR and COPRAS solution for ranking the most preferred software; the most preferred option using the Fuzzy VIKOR is the BCHP screening tool, and HOMER for the COPRAS method. They ranked the least preferred software as RETScreen (VIKOR method) and ORCED (COPRAS method).

Suggested Citation

  • Desmond Eseoghene Ighravwe & Moses Olubayo Babatunde & Thapelo Cornelius Mosetlhe & Daniel Aikhuele & Daniel Akinyele, 2022. "A MCDM-based framework for the selection of renewable energy system simulation tool for teaching and learning at university level," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 13035-13056, November.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:11:d:10.1007_s10668-021-01981-1
    DOI: 10.1007/s10668-021-01981-1
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    1. Das, Sayan & Dutta, Risav & De, Souvanik & De, Sudipta, 2024. "Review of multi-criteria decision-making for sustainable decentralized hybrid energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).

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