IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v97y2016icp77-88.html
   My bibliography  Save this article

A geospatial assessment of the techno-economic wind power potential in India using geographical restrictions

Author

Listed:
  • Mentis, Dimitrios
  • Siyal, Shahid Hussain
  • Korkovelos, Alexandros
  • Howells, Mark

Abstract

India is a privileged country in terms of wind resource regime. However, most of it remains untapped at the same time as ca 240 million people lack access to electricity in the country (19% of the total population). This calls for a thorough estimation of the amount of wind energy that could be technically and economically seized to assess the potential penetration of wind power into the country’s energy system. The utilization of wind energy is associated with a plethora of localization criteria and thus it should be systematically addressed by spatial assessments to guarantee its harmonization with socio-economic systems, infrastructure and ecosystems. This study focuses on onshore wind power and strives to provide with estimates of techno economic potential based on state of the art wind power technology. Socio-economic, geographical and technical criteria regarding the localization of wind farms are outlined and implemented through a detailed a Geographic Information Systems (GIS) analysis. The levelized cost of wind generated electricity is then calculated geospatially. According to this assessment there are several states that signify high yearly wind energy yield, such as Rajasthan, Andhra Pradesh and Gujarat, whilst Goa and other states indicate the least or negligible wind power potential. The levelized cost of generating electricity ranges between 57 and 100 USD/MWh, which places wind power in a competitive position in the Indian electricity market.

Suggested Citation

  • Mentis, Dimitrios & Siyal, Shahid Hussain & Korkovelos, Alexandros & Howells, Mark, 2016. "A geospatial assessment of the techno-economic wind power potential in India using geographical restrictions," Renewable Energy, Elsevier, vol. 97(C), pages 77-88.
  • Handle: RePEc:eee:renene:v:97:y:2016:i:c:p:77-88
    DOI: 10.1016/j.renene.2016.05.057
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148116304670
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2016.05.057?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. Grassi, Stefano & Chokani, Ndaona & Abhari, Reza S., 2012. "Large scale technical and economical assessment of wind energy potential with a GIS tool: Case study Iowa," Energy Policy, Elsevier, vol. 45(C), pages 73-85.
    2. van Haaren, Rob & Fthenakis, Vasilis, 2011. "GIS-based wind farm site selection using spatial multi-criteria analysis (SMCA): Evaluating the case for New York State," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(7), pages 3332-3340, September.
    3. Mentis, Dimitrios & Hermann, Sebastian & Howells, Mark & Welsch, Manuel & Siyal, Shahid Hussain, 2015. "Assessing the technical wind energy potential in Africa a GIS-based approach," Renewable Energy, Elsevier, vol. 83(C), pages 110-125.
    4. Hoogwijk, Monique & de Vries, Bert & Turkenburg, Wim, 2004. "Assessment of the global and regional geographical, technical and economic potential of onshore wind energy," Energy Economics, Elsevier, vol. 26(5), pages 889-919, September.
    5. Hossain, Jami & Sinha, Vinay & Kishore, V.V.N., 2011. "A GIS based assessment of potential for windfarms in India," Renewable Energy, Elsevier, vol. 36(12), pages 3257-3267.
    6. Al-Yahyai, Sultan & Charabi, Yassine & Gastli, Adel & Al-Badi, Abdullah, 2012. "Wind farm land suitability indexing using multi-criteria analysis," Renewable Energy, Elsevier, vol. 44(C), pages 80-87.
    7. Siyal, Shahid Hussain & Mörtberg, Ulla & Mentis, Dimitris & Welsch, Manuel & Babelon, Ian & Howells, Mark, 2015. "Wind energy assessment considering geographic and environmental restrictions in Sweden: A GIS-based approach," Energy, Elsevier, vol. 83(C), pages 447-461.
    8. Latinopoulos, D. & Kechagia, K., 2015. "A GIS-based multi-criteria evaluation for wind farm site selection. A regional scale application in Greece," Renewable Energy, Elsevier, vol. 78(C), pages 550-560.
    9. Nouni, M.R. & Mullick, S.C. & Kandpal, T.C., 2007. "Techno-economics of small wind electric generator projects for decentralized power supply in India," Energy Policy, Elsevier, vol. 35(4), pages 2491-2506, April.
    10. Graditi, G. & Ippolito, M.G. & Telaretti, E. & Zizzo, G., 2016. "Technical and economical assessment of distributed electrochemical storages for load shifting applications: An Italian case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 515-523.
    11. Garg, Amit & Naswa, Prakriti & Shukla, P.R., 2015. "Energy infrastructure in India: Profile and risks under climate change," Energy Policy, Elsevier, vol. 81(C), pages 226-238.
    12. Butler, Lucy & Neuhoff, Karsten, 2008. "Comparison of feed-in tariff, quota and auction mechanisms to support wind power development," Renewable Energy, Elsevier, vol. 33(8), pages 1854-1867.
    13. Sovacool, Benjamin K., 2008. "Valuing the greenhouse gas emissions from nuclear power: A critical survey," Energy Policy, Elsevier, vol. 36(8), pages 2940-2953, August.
    14. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    15. Boccard, Nicolas, 2009. "Capacity factor of wind power realized values vs. estimates," Energy Policy, Elsevier, vol. 37(7), pages 2679-2688, July.
    16. Gass, Viktoria & Schmidt, Johannes & Strauss, Franziska & Schmid, Erwin, 2013. "Assessing the economic wind power potential in Austria," Energy Policy, Elsevier, vol. 53(C), pages 323-330.
    17. Mourmouris, J.C. & Potolias, C., 2013. "A multi-criteria methodology for energy planning and developing renewable energy sources at a regional level: A case study Thassos, Greece," Energy Policy, Elsevier, vol. 52(C), pages 522-530.
    18. Schallenberg-Rodriguez, Julieta, 2013. "A methodological review to estimate techno-economical wind energy production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 272-287.
    19. Baban, Serwan M.J & Parry, Tim, 2001. "Developing and applying a GIS-assisted approach to locating wind farms in the UK," Renewable Energy, Elsevier, vol. 24(1), pages 59-71.
    20. Kar, Sanjay Kumar & Sharma, Atul, 2015. "Wind power developments in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 264-275.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jain, Anjali & Das, Partha & Yamujala, Sumanth & Bhakar, Rohit & Mathur, Jyotirmay, 2020. "Resource potential and variability assessment of solar and wind energy in India," Energy, Elsevier, vol. 211(C).
    2. Joseph Kiesecker & Sharon Baruch-Mordo & Mike Heiner & Dhaval Negandhi & James Oakleaf & Christina Kennedy & Pareexit Chauhan, 2019. "Renewable Energy and Land Use in India: A Vision to Facilitate Sustainable Development," Sustainability, MDPI, vol. 12(1), pages 1-14, December.
    3. Chinmoy, Lakshmi & Iniyan, S. & Goic, Ranko, 2019. "Modeling wind power investments, policies and social benefits for deregulated electricity market – A review," Applied Energy, Elsevier, vol. 242(C), pages 364-377.
    4. Rabbani, Rabab & Zeeshan, Muhammad, 2022. "Impact of policy changes on financial viability of wind power plants in Pakistan," Renewable Energy, Elsevier, vol. 193(C), pages 789-806.
    5. Liu, Fa & Sun, Fubao & Wang, Xunming, 2023. "Impact of turbine technology on wind energy potential and CO2 emission reduction under different wind resource conditions in China," Applied Energy, Elsevier, vol. 348(C).
    6. Jung, Christopher & Schindler, Dirk, 2022. "On the influence of wind speed model resolution on the global technical wind energy potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    7. Franziska Steinberger & Tobias Minder & Evelina Trutnevyte, 2020. "Efficiency versus Equity in Spatial Siting of Electricity Generation: Citizen Preferences in a Serious Board Game in Switzerland," Energies, MDPI, vol. 13(18), pages 1-17, September.
    8. Shiraishi, Kenji & Shirley, Rebekah G. & Kammen, Daniel M., 2019. "Geospatial multi-criteria analysis for identifying high priority clean energy investment opportunities: A case study on land-use conflict in Bangladesh," Applied Energy, Elsevier, vol. 235(C), pages 1457-1467.
    9. Hamza S. Abdalla Lagili & Aşkın Kiraz & Youssef Kassem & Hüseyin Gökçekuş, 2023. "Wind and Solar Energy for Sustainable Energy Production for Family Farms in Coastal Agricultural Regions of Libya Using Measured and Multiple Satellite Datasets," Energies, MDPI, vol. 16(18), pages 1-53, September.
    10. Langer, Jannis & Cahyaningwidi, Aida Astuti & Chalkiadakis, Charis & Quist, Jaco & Hoes, Olivier & Blok, Kornelis, 2021. "Plant siting and economic potential of ocean thermal energy conversion in Indonesia a novel GIS-based methodology," Energy, Elsevier, vol. 224(C).
    11. Chadee, Xsitaaz T. & Clarke, Ricardo M., 2018. "Wind resources and the levelized cost of wind generated electricity in the Caribbean islands of Trinidad and Tobago," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2526-2540.
    12. Das, Partha & Kanudia, Amit & Bhakar, Rohit & Mathur, Jyotirmay, 2022. "Intra-regional renewable energy resource variability in long-term energy system planning," Energy, Elsevier, vol. 245(C).
    13. Bai, Wuliyasu & Zhang, Long & Lu, Shengfang & Ren, Jingzheng & Zhou, Zhiqiao, 2023. "Sustainable energy transition in Southeast Asia: Energy status analysis, comprehensive evaluation and influential factor identification," Energy, Elsevier, vol. 284(C).
    14. Pérez Odeh, Rodrigo & Watts, David & Flores, Yarela, 2018. "Planning in a changing environment: Applications of portfolio optimisation to deal with risk in the electricity sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3808-3823.

    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. Pilar Díaz-Cuevas, 2018. "GIS-Based Methodology for Evaluating the Wind-Energy Potential of Territories: A Case Study from Andalusia (Spain)," Energies, MDPI, vol. 11(10), pages 1-16, October.
    2. David Severin Ryberg & Martin Robinius & Detlef Stolten, 2018. "Evaluating Land Eligibility Constraints of Renewable Energy Sources in Europe," Energies, MDPI, vol. 11(5), pages 1-19, May.
    3. Russell McKenna & Stefan Pfenninger & Heidi Heinrichs & Johannes Schmidt & Iain Staffell & Katharina Gruber & Andrea N. Hahmann & Malte Jansen & Michael Klingler & Natascha Landwehr & Xiaoli Guo Lars', 2021. "Reviewing methods and assumptions for high-resolution large-scale onshore wind energy potential assessments," Papers 2103.09781, arXiv.org.
    4. McKenna, Russell & Pfenninger, Stefan & Heinrichs, Heidi & Schmidt, Johannes & Staffell, Iain & Bauer, Christian & Gruber, Katharina & Hahmann, Andrea N. & Jansen, Malte & Klingler, Michael & Landwehr, 2022. "High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs," Renewable Energy, Elsevier, vol. 182(C), pages 659-684.
    5. Baseer, M.A. & Rehman, S. & Meyer, J.P. & Alam, Md. Mahbub, 2017. "GIS-based site suitability analysis for wind farm development in Saudi Arabia," Energy, Elsevier, vol. 141(C), pages 1166-1176.
    6. Sofia Spyridonidou & Dimitra G. Vagiona, 2020. "Systematic Review of Site-Selection Processes in Onshore and Offshore Wind Energy Research," Energies, MDPI, vol. 13(22), pages 1-26, November.
    7. Anne A. Gharaibeh & Deema A. Al-Shboul & Abdulla M. Al-Rawabdeh & Rasheed A. Jaradat, 2021. "Establishing Regional Power Sustainability and Feasibility Using Wind Farm Land-Use Optimization," Land, MDPI, vol. 10(5), pages 1-32, April.
    8. Atici, Kazim Baris & Simsek, Ahmet Bahadir & Ulucan, Aydin & Tosun, Mustafa Umur, 2015. "A GIS-based Multiple Criteria Decision Analysis approach for wind power plant site selection," Utilities Policy, Elsevier, vol. 37(C), pages 86-96.
    9. Sajid Ali & Sang-Moon Lee & Choon-Man Jang, 2017. "Determination of the Most Optimal On-Shore Wind Farm Site Location Using a GIS-MCDM Methodology: Evaluating the Case of South Korea," Energies, MDPI, vol. 10(12), pages 1-22, December.
    10. Dehghan, Hassan & Pourfayaz, Fathollah & Shahsavari, Ardavan, 2022. "Multicriteria decision and Geographic Information System-based locational analysis and techno-economic assessment of a hybrid energy system," Renewable Energy, Elsevier, vol. 198(C), pages 189-199.
    11. Sotiropoulou, Kalliopi F. & Vavatsikos, Athanasios P., 2021. "Onshore wind farms GIS-Assisted suitability analysis using PROMETHEE II," Energy Policy, Elsevier, vol. 158(C).
    12. Rahim Moltames & Mohammad Sajad Naghavi & Mahyar Silakhori & Younes Noorollahi & Hossein Yousefi & Mostafa Hajiaghaei-Keshteli & Behzad Azizimehr, 2022. "Multi-Criteria Decision Methods for Selecting a Wind Farm Site Using a Geographic Information System (GIS)," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    13. Shafiqur Rehman & Abdul Baseer Mohammed & Luai Alhems, 2020. "A Heuristic Approach to Siting and Design Optimization of an Onshore Wind Farm Layout," Energies, MDPI, vol. 13(22), pages 1-18, November.
    14. Shafiullah, Md & Rahman, Syed Masiur & Mortoja, Md. Golam & Al-Ramadan, Baqer, 2016. "Role of spatial analysis technology in power system industry: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 584-595.
    15. Cunden, Tyagaraja S.M. & Doorga, Jay & Lollchund, Michel R. & Rughooputh, Soonil D.D.V., 2020. "Multi-level constraints wind farms siting for a complex terrain in a tropical region using MCDM approach coupled with GIS," Energy, Elsevier, vol. 211(C).
    16. Gigović, Ljubomir & Pamučar, Dragan & Božanić, Darko & Ljubojević, Srđan, 2017. "Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: A case study of Vojvodina, Serbia," Renewable Energy, Elsevier, vol. 103(C), pages 501-521.
    17. Jung, Christopher & Schindler, Dirk, 2022. "On the influence of wind speed model resolution on the global technical wind energy potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    18. Daaou Nedjari, H. & Haddouche, S. Kheder & Balehouane, A. & Guerri, O., 2018. "Optimal windy sites in Algeria: Potential and perspectives," Energy, Elsevier, vol. 147(C), pages 1240-1255.
    19. Grassi, Stefano & Junghans, Sven & Raubal, Martin, 2014. "Assessment of the wake effect on the energy production of onshore wind farms using GIS," Applied Energy, Elsevier, vol. 136(C), pages 827-837.
    20. Kruger, Wikus & Stritzke, Susann & Trotter, Philipp A., 2019. "De-risking solar auctions in sub-Saharan Africa – A comparison of site selection strategies in South Africa and Zambia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 429-438.

    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:97:y:2016:i:c:p:77-88. 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.