IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v233y2024ics0960148124011868.html
   My bibliography  Save this article

An assessment of prospects of geothermal energy in India for energy sustainability

Author

Listed:
  • Goswami, Susmita
  • Rai, Abhishek Kumar

Abstract

The search for indigenous, renewable, environment-friendly, and sustainable energy resources has increased globally during the past few decades. Geothermal energy is one such ubiquitous source of energy, having the potential to become an alternate energy resource with a reduced carbon footprint. In this study, eight crucial characteristic parameters, i.e., heat flow, thermal gradient, Curie point depth, lithology, basement depth, crustal thickness, and seismicity, were integrated into a multi-criteria decision model framework to identify areas that may have the potential for geothermal energy in India. The weights of various parameters estimated using AHP are in the order of heat flow (∼ 0.252), followed by the Curie point depth (∼ 0.195), thermal gradient (∼ 0.173), and crustal thickness. Our analysis indicates that the geothermal province in the Himalayas (including the NW and NE regions), SONATA lineaments, central parts, and some parts of the west coasts and Mahanadi graben may have better prospects of geothermal energy compared to other tectonic provinces. We find that ∼14.86%, and ∼21.98 % of the study region have extremely high to high geothermal potential. About ∼ 27.18 % of the region have medium geothermal prospects, whereas ∼ 11.78 % and 24.20 % of the region have very low to low potential for geothermal energy.

Suggested Citation

  • Goswami, Susmita & Rai, Abhishek Kumar, 2024. "An assessment of prospects of geothermal energy in India for energy sustainability," Renewable Energy, Elsevier, vol. 233(C).
  • Handle: RePEc:eee:renene:v:233:y:2024:i:c:s0960148124011868
    DOI: 10.1016/j.renene.2024.121118
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124011868
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2024.121118?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. Ahmad, Salman & Tahar, Razman Mat, 2014. "Selection of renewable energy sources for sustainable development of electricity generation system using analytic hierarchy process: A case of Malaysia," Renewable Energy, Elsevier, vol. 63(C), pages 458-466.
    2. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    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. Çelikbilek, Yakup & Tüysüz, Fatih, 2016. "An integrated grey based multi-criteria decision making approach for the evaluation of renewable energy sources," Energy, Elsevier, vol. 115(P1), pages 1246-1258.
    2. Ozorhon, Beliz & Batmaz, Arda & Caglayan, Semih, 2018. "Generating a framework to facilitate decision making in renewable energy investments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 217-226.
    3. Ahadi, Pedram & Fakhrabadi, Farbod & Pourshaghaghy, Alireza & Kowsary, Farshad, 2023. "Optimal site selection for a solar power plant in Iran via the Analytic Hierarchy Process (AHP)," Renewable Energy, Elsevier, vol. 215(C).
    4. Chiranjib Bhowmik & Sumit Bhowmik & Amitava Ray, 2020. "Optimal green energy source selection: An eclectic decision," Energy & Environment, , vol. 31(5), pages 842-859, August.
    5. Banai, Reza, 2010. "Evaluation of land use-transportation systems with the Analytic Network Process," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(1), pages 85-112.
    6. Andrew Chapman & Timothy Fraser & Melanie Dennis, 2019. "Investigating Ties between Energy Policy and Social Equity Research: A Citation Network Analysis," Social Sciences, MDPI, vol. 8(5), pages 1-18, April.
    7. Pishchulov, Grigory & Trautrims, Alexander & Chesney, Thomas & Gold, Stefan & Schwab, Leila, 2019. "The Voting Analytic Hierarchy Process revisited: A revised method with application to sustainable supplier selection," International Journal of Production Economics, Elsevier, vol. 211(C), pages 166-179.
    8. Seung-Jin Han & Won-Jae Lee & So-Hee Kim & Sang-Hoon Yoon & Hyunwoong Pyun, 2022. "Assessing Expected Long-term Benefits for the Olympic Games: Delphi-AHP Approach from Korean Olympic Experts," SAGE Open, , vol. 12(4), pages 21582440221, December.
    9. Seyed Rakhshan & Ali Kamyad & Sohrab Effati, 2015. "Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis," Annals of Operations Research, Springer, vol. 226(1), pages 505-525, March.
    10. V. Srinivasan & G. Shainesh & Anand K. Sharma, 2015. "An approach to prioritize customer-based, cost-effective service enhancements," The Service Industries Journal, Taylor & Francis Journals, vol. 35(14), pages 747-762, October.
    11. Mónica García-Melón & Blanca Pérez-Gladish & Tomás Gómez-Navarro & Paz Mendez-Rodriguez, 2016. "Assessing mutual funds’ corporate social responsibility: a multistakeholder-AHP based methodology," Annals of Operations Research, Springer, vol. 244(2), pages 475-503, September.
    12. Luis Pérez-Domínguez & Luis Alberto Rodríguez-Picón & Alejandro Alvarado-Iniesta & David Luviano Cruz & Zeshui Xu, 2018. "MOORA under Pythagorean Fuzzy Set for Multiple Criteria Decision Making," Complexity, Hindawi, vol. 2018, pages 1-10, April.
    13. Paul L. G. Vlek & Asia Khamzina & Hossein Azadi & Anik Bhaduri & Luna Bharati & Ademola Braimoh & Christopher Martius & Terry Sunderland & Fatemeh Taheri, 2017. "Trade-Offs in Multi-Purpose Land Use under Land Degradation," Sustainability, MDPI, vol. 9(12), pages 1-19, November.
    14. Mohamed Ali Elleuch & Marwa Mallek & Ahmed Frikha & Wafik Hachicha & Awad M. Aljuaid & Murad Andejany, 2021. "Solving a Multiple User Energy Source Selection Problem Using a Fuzzy Multi-Criteria Group Decision-Making Approach," Energies, MDPI, vol. 14(14), pages 1-16, July.
    15. Kumar B, Pradeep, 2021. "Changing Objectives of Firms and Managerial Preferences: A Review of Models in Microeconomics," MPRA Paper 106967, University Library of Munich, Germany, revised 13 Mar 2021.
    16. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2018. "σ-µ efficiency analysis: A new methodology for evaluating units through composite indices," MPRA Paper 83569, University Library of Munich, Germany.
    17. Anirban Mukhopadhyay & Sugata Hazra & Debasish Mitra & C. Hutton & Abhra Chanda & Sandip Mukherjee, 2016. "Characterizing the multi-risk with respect to plausible natural hazards in the Balasore coast, Odisha, India: a multi-criteria analysis (MCA) appraisal," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1495-1513, February.
    18. Chamoli, Sunil, 2015. "Hybrid FAHP (fuzzy analytical hierarchy process)-FTOPSIS (fuzzy technique for order preference by similarity of an ideal solution) approach for performance evaluation of the V down perforated baffle r," Energy, Elsevier, vol. 84(C), pages 432-442.
    19. H. S. C. Perera & W. K. R. Costa, 2008. "Analytic Hierarchy Process for Selection of Erp Software for Manufacturing Companies," Vision, , vol. 12(4), pages 1-11, October.
    20. G. La Scalia & F.P. Marra & J. Rühl & R. Sciortino & T. Caruso, 2016. "A fuzzy multi-criteria decision-making methodology to optimise olive agro-engineering processes based on geo-spatial technologies," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 15(1), pages 1-15.

    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:renene:v:233:y:2024:i:c:s0960148124011868. 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.journals.elsevier.com/renewable-energy .

    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.