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Application of M-SWARA and TOPSIS Methods in the Evaluation of Investment Alternatives of Microgeneration Energy Technologies

Author

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  • Hasan Dinçer

    (The School of Business, İstanbul Medipol University, 34810 Istanbul, Turkey
    The School of Business, Ibn Haldun University, 34480 Basaksehir, Turkey)

  • Serhat Yüksel

    (The School of Business, İstanbul Medipol University, 34810 Istanbul, Turkey)

  • Tamer Aksoy

    (The School of Business, Ibn Haldun University, 34480 Basaksehir, Turkey)

  • Ümit Hacıoğlu

    (The School of Business, Ibn Haldun University, 34480 Basaksehir, Turkey)

Abstract

Investments in microgeneration technologies help to boost the usage of clean energy while reducing pollution. However, selecting the appropriate investment remains the most critical phase in developing these technologies. This study aims to design a multi-criteria decision-making method (MCDM) to evaluate investment alternatives for microgeneration energy technologies. The proposed MCDM is based on a Multi Stepwise Weight Assessment Ratio Analysis (M-SWARA), to define the relative importance of the factors. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and q-Rung Orthopair Fuzzy Soft Sets (q-ROFSs) are used to rank investment alternatives. Calculations were also made with Intuitionistic Fuzzy Sets (IFSs) and Pythagorean Fuzzy Sets (PFSs). For analysis, five evaluation criteria were selected based on the literature: frequency of maintenance, ease of installation, environmental adaptation, transmission technologies, and efficiency of cost. Similarly, six alternatives for microgeneration technology investments were selected: ground source heat pumps, micro hydroelectric power, micro combined heat and power, micro bioelectrochemical fuel cell systems, small-scale wind turbines, and photovoltaic systems. The results showed that cost efficiency was the most significant factor in the effectiveness of microgeneration energy investments, and the photovoltaic system was the best alternative to increase microgeneration energy technology investment performance. Furthermore, the results were the same for the analyses made with IFSs and PFSs, demonstrating the reliability of the proposed method. Therefore, investors in microgeneration technologies should prioritize photovoltaic systems. This conclusion is supported by the fact that photovoltaic is a renewable energy source that has witnessed the most technological improvements and cost reductions over the last decade.

Suggested Citation

  • Hasan Dinçer & Serhat Yüksel & Tamer Aksoy & Ümit Hacıoğlu, 2022. "Application of M-SWARA and TOPSIS Methods in the Evaluation of Investment Alternatives of Microgeneration Energy Technologies," Sustainability, MDPI, vol. 14(10), pages 1-16, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:6271-:d:820695
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    References listed on IDEAS

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    1. Aquila, Giancarlo & Coelho, Eden de Oliveira Pinto & Bonatto, Benedito Donizeti & Pamplona, Edson de Oliveira & Nakamura, Wilson Toshiro, 2021. "Perspective of uncertainty and risk from the CVaR-LCOE approach: An analysis of the case of PV microgeneration in Minas Gerais, Brazil," Energy, Elsevier, vol. 226(C).
    2. Pearce, Phoebe & Slade, Raphael, 2018. "Feed-in tariffs for solar microgeneration: Policy evaluation and capacity projections using a realistic agent-based model," Energy Policy, Elsevier, vol. 116(C), pages 95-111.
    3. Fawen Gao & Zhibin Zhang & Mengxing Shang & Gengxin Sun, 2021. "Risk Evaluation Study of Urban Rail Transit Network Based on Entropy-TOPSIS-Coupling Coordination Model," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-8, December.
    4. Spyridon Karytsas & Ioannis Vardopoulos & Eleni Theodoropoulou, 2019. "Factors Affecting Sustainable Market Acceptance of Residential Microgeneration Technologies. A Two Time Period Comparative Analysis," Energies, MDPI, vol. 12(17), pages 1-20, August.
    5. Dong, Weiwei & Zhao, Guohua & Yüksel, Serhat & Dinçer, Hasan & Ubay, Gözde Gülseven, 2022. "A novel hybrid decision making approach for the strategic selection of wind energy projects," Renewable Energy, Elsevier, vol. 185(C), pages 321-337.
    6. Balezentis, Tomas & Streimikiene, Dalia & Mikalauskas, Ignas & Shen, Zhiyang, 2021. "Towards carbon free economy and electricity: The puzzle of energy costs, sustainability and security based on willingness to pay," Energy, Elsevier, vol. 214(C).
    7. Bao, Qifang & Sinitskaya, Ekaterina & Gomez, Kelley J. & MacDonald, Erin F. & Yang, Maria C., 2020. "A human-centered design approach to evaluating factors in residential solar PV adoption: A survey of homeowners in California and Massachusetts," Renewable Energy, Elsevier, vol. 151(C), pages 503-513.
    8. Hanna, Richard & Leach, Matthew & Torriti, Jacopo, 2018. "Microgeneration: The installer perspective," Renewable Energy, Elsevier, vol. 116(PA), pages 458-469.
    9. Athena Piterou & Anne‐Marie Coles, 2021. "A review of business models for decentralised renewable energy projects," Business Strategy and the Environment, Wiley Blackwell, vol. 30(3), pages 1468-1480, March.
    10. Liobikienė, Genovaitė & Dagiliūtė, Renata & Juknys, Romualdas, 2021. "The determinants of renewable energy usage intentions using theory of planned behaviour approach," Renewable Energy, Elsevier, vol. 170(C), pages 587-594.
    11. Vinay Virupaksha & Mary Harty & Kevin McDonnell, 2019. "Microgeneration of Electricity Using a Solar Photovoltaic System in Ireland," Energies, MDPI, vol. 12(23), pages 1-26, December.
    12. Yue Meng & Haoyue Wu & Wenjing Zhao & Wenkuan Chen & Hasan Dinçer & Serhat Yüksel, 2021. "A hybrid heterogeneous Pythagorean fuzzy group decision modelling for crowdfunding development process pathways of fintech-based clean energy investment projects," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-34, December.
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