IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v358y2024ics0306261923019463.html
   My bibliography  Save this article

A fuzzy Graph Theory and Matrix Approach (fuzzy GTMA) to select the best renewable energy alternative in India

Author

Listed:
  • Giri, Puspendu
  • Paul, Somnath
  • Debnath, Bijoy Krishna

Abstract

Mounting energy consumption and increased concern over the financial and ecological repercussions necessitate the implementation of renewable energy technology in India. Renewable energy sources have experienced a variety of challenges, which shows their growth level. Given its extensive population and finite fossil fuel reservoirs, India stands at a significant opportunity to excel in renewable energy forms like wind, solar, geothermal, hydro, biomass, and tidal energy. The objective of this study is to recognize and evaluate the barriers hindering the adoption of renewable energy technology and to prioritize the various renewable energy sources prevalent in India. An exhaustive literature analysis has revealed 21 barriers, which were classified into five categories: economic, technical, social, environmental, and political. The existing literature rarely addresses tidal energy and political barriers, both of which are explored here. Additionally, this research integrates fuzzy data. As fuzzy sets allow partial membership in contrast to crisp sets, this offers enhanced flexibility. Graph Theory and Matrix Approach is utilized for ranking the renewable energy sources with the help of matrix permanent in fuzzy environment. Furthermore, a sensitivity analysis is performed to evaluate the consistency of the sequence of importance. The case study reveals that among the alternatives, wind energy holds the highest permanent value, followed by solar and biomass energy, with tidal energy having the lowest value. This indicates that, considering the barriers, wind energy is the most preferred renewable energy source in India, followed by solar and biomass energy. The outcomes might be applicable to numerous developing countries with similar technological and technical limitations. Moreover, this comprehension could prove valuable in formulating policies and strategies aimed at embracing renewable and sustainable energy technologies.

Suggested Citation

  • Giri, Puspendu & Paul, Somnath & Debnath, Bijoy Krishna, 2024. "A fuzzy Graph Theory and Matrix Approach (fuzzy GTMA) to select the best renewable energy alternative in India," Applied Energy, Elsevier, vol. 358(C).
    • Handle: RePEc:eee:appene:v:358:y:2024:i:c:s0306261923019463
    DOI: 10.1016/j.apenergy.2023.122582
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261923019463
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2023.122582?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ramachandra, T.V. & Jain, Rishabh & Krishnadas, Gautham, 2011. "Hotspots of solar potential in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3178-3186, August.
    2. Nasrollahi, Sadaf & Kazemi, Aliyeh & Jahangir, Mohammad-Hossein & Aryaee, Sara, 2023. "Selecting suitable wave energy technology for sustainable development, an MCDM approach," Renewable Energy, Elsevier, vol. 202(C), pages 756-772.
    3. Wu, Yunna & Xu, Chuanbo & Zhang, Ting, 2018. "Evaluation of renewable power sources using a fuzzy MCDM based on cumulative prospect theory: A case in China," Energy, Elsevier, vol. 147(C), pages 1227-1239.
    4. Singh, Jasvinder & Gu, Sai, 2010. "Biomass conversion to energy in India--A critique," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(5), pages 1367-1378, June.
    5. Narwane, Vaibhav S. & Yadav, Vinay Surendra & Raut, Rakesh D. & Narkhede, Balkrishna E. & Gardas, Bhaskar B., 2021. "Sustainable development challenges of the biofuel industry in India based on integrated MCDM approach," Renewable Energy, Elsevier, vol. 164(C), pages 298-309.
    6. Solangi, Yasir Ahmed & Longsheng, Cheng & Shah, Syed Ahsan Ali, 2021. "Assessing and overcoming the renewable energy barriers for sustainable development in Pakistan: An integrated AHP and fuzzy TOPSIS approach," Renewable Energy, Elsevier, vol. 173(C), pages 209-222.
    7. Madurai Elavarasan, Rajvikram & Pugazhendhi, Rishi & Jamal, Taskin & Dyduch, Joanna & Arif, M.T. & Manoj Kumar, Nallapaneni & Shafiullah, GM & Chopra, Shauhrat S. & Nadarajah, Mithulananthan, 2021. "Envisioning the UN Sustainable Development Goals (SDGs) through the lens of energy sustainability (SDG 7) in the post-COVID-19 world," Applied Energy, Elsevier, vol. 292(C).
    8. Mahesh, A. & Shoba Jasmin, K.S., 2013. "Role of renewable energy investment in India: An alternative to CO2 mitigation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 414-424.
    9. Štreimikienė, Dalia & Šliogerienė, Jūratė & Turskis, Zenonas, 2016. "Multi-criteria analysis of electricity generation technologies in Lithuania," Renewable Energy, Elsevier, vol. 85(C), pages 148-156.
    10. Pillai, Indu R. & Banerjee, Rangan, 2009. "Renewable energy in India: Status and potential," Energy, Elsevier, vol. 34(8), pages 970-980.
    11. Elena Arce, María & Saavedra, Ángeles & Míguez, José L. & Granada, Enrique, 2015. "The use of grey-based methods in multi-criteria decision analysis for the evaluation of sustainable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 924-932.
    12. Saraswat, S.K. & Digalwar, Abhijeet K., 2021. "Evaluation of energy alternatives for sustainable development of energy sector in India: An integrated Shannon’s entropy fuzzy multi-criteria decision approach," Renewable Energy, Elsevier, vol. 171(C), pages 58-74.
    13. Le, Tay Son & Nguyen, Tuan Ngoc & Bui, Dac-Khuong & Ngo, Tuan Duc, 2023. "Optimal sizing of renewable energy storage: A techno-economic analysis of hydrogen, battery and hybrid systems considering degradation and seasonal storage," Applied Energy, Elsevier, vol. 336(C).
    14. Elahi, Ehsan & Khalid, Zainab & Zhang, Zhixin, 2022. "Understanding farmers’ intention and willingness to install renewable energy technology: A solution to reduce the environmental emissions of agriculture," Applied Energy, Elsevier, vol. 309(C).
    15. Kumar, Deepak & Katoch, S.S., 2014. "Sustainability indicators for run of the river (RoR) hydropower projects in hydro rich regions of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 101-108.
    16. Reddy, V. Siva & Kaushik, S.C. & Panwar, N.L., 2013. "Review on power generation scenario of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 43-48.
    17. Tripathi, Lata & Mishra, A.K. & Dubey, Anil Kumar & Tripathi, C.B. & Baredar, Prashant, 2016. "Renewable energy: An overview on its contribution in current energy scenario of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 226-233.
    18. Majidi Nezhad, Meysam & Neshat, Mehdi & Piras, Giuseppe & Astiaso Garcia, Davide, 2022. "Sites exploring prioritisation of offshore wind energy potential and mapping for wind farms installation: Iranian islands case studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    19. Lee, Hsing-Chen & Chang, Ching-Ter, 2018. "Comparative analysis of MCDM methods for ranking renewable energy sources in Taiwan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 883-896.
    20. Alizadeh, Reza & Soltanisehat, Leili & Lund, Peter D. & Zamanisabzi, Hamed, 2020. "Improving renewable energy policy planning and decision-making through a hybrid MCDM method," Energy Policy, Elsevier, vol. 137(C).
    21. Chang, J. & Leung, Dennis Y. C. & Wu, C. Z. & Yuan, Z. H., 2003. "A review on the energy production, consumption, and prospect of renewable energy in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 7(5), pages 453-468, October.
    22. Çolak, Murat & Kaya, İhsan, 2017. "Prioritization of renewable energy alternatives by using an integrated fuzzy MCDM model: A real case application for Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 840-853.
    23. Asante, Dennis & He, Zheng & Adjei, Nana Osae & Asante, Bismark, 2020. "Exploring the barriers to renewable energy adoption utilising MULTIMOORA- EDAS method," Energy Policy, Elsevier, vol. 142(C).
    24. Atabaki, Mohammad Saeid & Aryanpur, Vahid, 2018. "Multi-objective optimization for sustainable development of the power sector: An economic, environmental, and social analysis of Iran," Energy, Elsevier, vol. 161(C), pages 493-507.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Saraswat, S.K. & Digalwar, Abhijeet K., 2021. "Empirical investigation and validation of sustainability indicators for the assessment of energy sources in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    2. Luthra, Sunil & Kumar, Sanjay & Garg, Dixit & Haleem, Abid, 2015. "Barriers to renewable/sustainable energy technologies adoption: Indian perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 762-776.
    3. Saraswat, S.K. & Digalwar, Abhijeet K., 2021. "Evaluation of energy alternatives for sustainable development of energy sector in India: An integrated Shannon’s entropy fuzzy multi-criteria decision approach," Renewable Energy, Elsevier, vol. 171(C), pages 58-74.
    4. Bilgili, Faik & Zarali, Fulya & Ilgün, Miraç Fatih & Dumrul, Cüneyt & Dumrul, Yasemin, 2022. "The evaluation of renewable energy alternatives for sustainable development in Turkey using ‌intuitionistic‌ ‌fuzzy‌-TOPSIS method," Renewable Energy, Elsevier, vol. 189(C), pages 1443-1458.
    5. Krishankumar, Raghunathan & Pamucar, Dragan & Deveci, Muhammat & Aggarwal, Manish & Ravichandran, Kattur Soundarapandian, 2022. "Assessment of renewable energy sources for smart cities’ demand satisfaction using multi-hesitant fuzzy linguistic based choquet integral approach," Renewable Energy, Elsevier, vol. 189(C), pages 1428-1442.
    6. Ali Mostafaeipour & Ali Sadeghi Sedeh & Shahariar Chowdhury & Kuaanan Techato, 2020. "Ranking Potential Renewable Energy Systems to Power On-Farm Fertilizer Production," Sustainability, MDPI, vol. 12(19), pages 1-27, September.
    7. Rahadian Dadan & Firli Anisah & Dinçer Hasan & Yüksel Serhat & Hacıoğlu Ümit & Gherghina Ştefan Cristian & Aksoy Tamer, 2023. "An Evaluation of E7 Countries’ Sustainable Energy Investments: A Decision-Making Approach with Spherical Fuzzy Sets," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 17(1), pages 1-21, January.
    8. Horasan, Muhammed Bilal & Kilic, Huseyin Selcuk, 2022. "A multi-objective decision-making model for renewable energy planning: The case of Turkey," Renewable Energy, Elsevier, vol. 193(C), pages 484-504.
    9. Hashemizadeh, Ali & Ju, Yanbing & Bamakan, Seyed Mojtaba Hosseini & Le, Hoang Phong, 2021. "Renewable energy investment risk assessment in belt and road initiative countries under uncertainty conditions," Energy, Elsevier, vol. 214(C).
    10. Singh, Rhythm, 2018. "Energy sufficiency aspirations of India and the role of renewable resources: Scenarios for future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2783-2795.
    11. Bortoluzzi, Mirian & Correia de Souza, Celso & Furlan, Marcelo, 2021. "Bibliometric analysis of renewable energy types using key performance indicators and multicriteria decision models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    12. Chen, Xin & Wenjia Zhou,, 2023. "Support carbon neutrality target — Which flexible power source is the best option for China?," Energy, Elsevier, vol. 285(C).
    13. M, Jisma & Mohan, Vivek & Thomas, Mini Shaji & Madhu M, Nimal, 2022. "Risk-Calibrated conventional-renewable generation mix using master-slave portfolio approach guided by flexible investor preferencing," Energy, Elsevier, vol. 245(C).
    14. Wątróbski, Jarosław & Bączkiewicz, Aleksandra & Sałabun, Wojciech, 2022. "New multi-criteria method for evaluation of sustainable RES management," Applied Energy, Elsevier, vol. 324(C).
    15. Abdul, Daud & Wenqi, Jiang & Tanveer, Arsalan, 2022. "Prioritization of renewable energy source for electricity generation through AHP-VIKOR integrated methodology," Renewable Energy, Elsevier, vol. 184(C), pages 1018-1032.
    16. Osman Taylan & Rami Alamoudi & Mohammad Kabli & Alawi AlJifri & Fares Ramzi & Enrique Herrera-Viedma, 2020. "Assessment of Energy Systems Using Extended Fuzzy AHP, Fuzzy VIKOR, and TOPSIS Approaches to Manage Non-Cooperative Opinions," Sustainability, MDPI, vol. 12(7), pages 1-27, March.
    17. Lin, Boqiang & Huang, Chenchen, 2023. "Promoting variable renewable energy integration: The moderating effect of digitalization," Applied Energy, Elsevier, vol. 337(C).
    18. Alizadeh, Reza & Soltanisehat, Leili & Lund, Peter D. & Zamanisabzi, Hamed, 2020. "Improving renewable energy policy planning and decision-making through a hybrid MCDM method," Energy Policy, Elsevier, vol. 137(C).
    19. Pratibha Rani & Jabir Ali & Raghunathan Krishankumar & Arunodaya Raj Mishra & Fausto Cavallaro & Kattur S. Ravichandran, 2021. "An Integrated Single-Valued Neutrosophic Combined Compromise Solution Methodology for Renewable Energy Resource Selection Problem," Energies, MDPI, vol. 14(15), pages 1-23, July.
    20. Paula Donaduzzi Rigo & Graciele Rediske & Carmen Brum Rosa & Natália Gava Gastaldo & Leandro Michels & Alvaro Luiz Neuenfeldt Júnior & Julio Cezar Mairesse Siluk, 2020. "Renewable Energy Problems: Exploring the Methods to Support the Decision-Making Process," Sustainability, MDPI, vol. 12(23), pages 1-27, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:358:y:2024:i:c:s0306261923019463. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.