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An Integrated Entropy-TOPSIS Methodology for Evaluating Green Energy Sources

Author

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  • Chiranjib Bhowmik

    (Faculty of Engineering and Technology, Parul Institute of Engineering and Technology, Parul University, Vadodara, India)

  • Mohamad Amin Kaviani

    (Department of Electrical and Computer Engineering, KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus)

  • Amitava Ray

    (Jalpaiguri Government Engineering College, India)

  • Lanndon Ocampo

    (Cebu Technological University, Philippines)

Abstract

This research aims to select the optimum green energy sources for sustainable planning from a given set of alternatives. The study presents an integrated multi-criteria decision-making analysis—the entropy-technique for order of preference by similarity to ideal solution (TOPSIS)—to evaluate the energy sources: coal, oil, gas, carbon capture; and storage: nuclear fission/power, large hydro, small hydro, wind, solar photovoltaic, concentrating solar, geothermal, and biomass. Information related to energy parameters are always imprecise; thus, to address the impreciseness of eliciting judgments in the preferences of criteria, the entropy method is used. TOPSIS method is then utilized to select the optimum sources. Results show that solar-photovoltaic is the optimum green energy source having the highest score value, and annual generation is the most prioritized criterion. Sensitivity analysis also demonstrates the robustness of the selection methodology.

Suggested Citation

  • Chiranjib Bhowmik & Mohamad Amin Kaviani & Amitava Ray & Lanndon Ocampo, 2020. "An Integrated Entropy-TOPSIS Methodology for Evaluating Green Energy Sources," International Journal of Business Analytics (IJBAN), IGI Global, vol. 7(3), pages 44-70, July.
    • Handle: RePEc:igg:jban00:v:7:y:2020:i:3:p:44-70
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    Citations

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    Cited by:

    1. Mehrnaz Khalaj Hedayati & Dara G. Schniederjans, 2022. "Energy Management in Manufacturing: A Knowledge Management Perspective," International Journal of Business Analytics (IJBAN), IGI Global, vol. 9(1), pages 1-21, January.
    2. Jingyuan Shi & Jiaqing Sun, 2023. "Prefabrication Implementation Potential Evaluation in Rural Housing Based on Entropy Weighted TOPSIS Model: A Case Study of Counties in Chongqing, China," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    3. Liu, Ziyang & He, Mingfei & Tang, Xiaoping & Yuan, Guofeng & Yang, Bin & Yu, Xiaohui & Wang, Zhifeng, 2024. "Capacity optimisation and multi-dimensional analysis of air-source heat pump heating system: A case study," Energy, Elsevier, vol. 294(C).
    4. Cheng, Yiyang & Ru, Shaofeng & Kader, Gavin, 2023. "Optimal capital investment structure and sustainable development: Evidence from China," Finance Research Letters, Elsevier, vol. 58(PB).
    5. 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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