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Application of reanalysis data to estimate offshore wind potential in EEZ of India based on marine ecosystem considerations

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  • Nagababu, Garlapati
  • Kachhwaha, Surendra Singh
  • Naidu, Natansh K.
  • Savsani, Vimal

Abstract

India is striving hard to develop new and renewable energy resources on a vast scale, to meet its future energy demands. To fulfill the need of renewable energy resources, utilization of wind energy is a good option to avoid several issues of pollution and climate change caused by the consumption of fossil fuels. The present study aims to provide a summary of offshore wind energy potential available in the exclusive economic zone (EEZ) of India, by utilizing reanalysis wind dataset (ERA-Interim) for 14 years (2001–2014) along with corresponding data of bathymetry and cumulative human impact on marine ecosystem. Geographic Information System (GIS) environment is used to develop maps of wind speed and power density at a hub height of 80 m. Annual energy production (AEP) capacity in Indian EEZ was observed to be about ten and six times of the present (Financial year 2015–16) and anticipated future (Financial year 2021–22) energy demand while considering 5 MW turbine. Outcomes of the present study seem to be useful for developers, planners and decision makers in realizing about available offshore wind power potential at the coasts of India.

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  • Nagababu, Garlapati & Kachhwaha, Surendra Singh & Naidu, Natansh K. & Savsani, Vimal, 2017. "Application of reanalysis data to estimate offshore wind potential in EEZ of India based on marine ecosystem considerations," Energy, Elsevier, vol. 118(C), pages 622-631.
    • Handle: RePEc:eee:energy:v:118:y:2017:i:c:p:622-631
    DOI: 10.1016/j.energy.2016.10.097
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    2. de Assis Tavares, Luiz Filipe & Shadman, Milad & Assad, Luiz Paulo de Freitas & Estefen, Segen F., 2022. "Influence of the WRF model and atmospheric reanalysis on the offshore wind resource potential and cost estimation: A case study for Rio de Janeiro State," Energy, Elsevier, vol. 240(C).
    3. Chancham, Chana & Waewsak, Jompob & Gagnon, Yves, 2017. "Offshore wind resource assessment and wind power plant optimization in the Gulf of Thailand," Energy, Elsevier, vol. 139(C), pages 706-731.
    4. Nagababu, Garlapati & Puppala, Harish & Pritam, Kocherlakota & Kantipudi, MVV Prasad, 2022. "Two-stage GIS-MCDM based algorithm to identify plausible regions at micro level to install wind farms: A case study of India," Energy, Elsevier, vol. 248(C).
    5. Salvação, N. & Guedes Soares, C., 2018. "Wind resource assessment offshore the Atlantic Iberian coast with the WRF model," Energy, Elsevier, vol. 145(C), pages 276-287.
    6. Rasool, Safdar & Muttaqi, Kashem M. & Sutanto, Danny & Hemer, Mark, 2022. "Quantifying the reduction in power variability of co-located offshore wind-wave farms," Renewable Energy, Elsevier, vol. 185(C), pages 1018-1033.
    7. 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).
    8. Arun Kumar, Surisetty V.V. & Nagababu, Garlapati & Kumar, Raj, 2019. "Comparative study of offshore winds and wind energy production derived from multiple scatterometers and met buoys," Energy, Elsevier, vol. 185(C), pages 599-611.
    9. P Patel, Ravi & Nagababu, Garlapati & Kachhwaha, Surendra Singh & V V Arun Kumar, Surisetty & M, Seemanth, 2022. "Combined wind and wave resource assessment and energy extraction along the Indian coast," Renewable Energy, Elsevier, vol. 195(C), pages 931-945.
    10. de Assis Tavares, Luiz Filipe & Shadman, Milad & de Freitas Assad, Luiz Paulo & Silva, Corbiniano & Landau, Luiz & Estefen, Segen F., 2020. "Assessment of the offshore wind technical potential for the Brazilian Southeast and South regions," Energy, Elsevier, vol. 196(C).
    11. Peters, Jared L. & Remmers, Tiny & Wheeler, Andrew J. & Murphy, Jimmy & Cummins, Valerie, 2020. "A systematic review and meta-analysis of GIS use to reveal trends in offshore wind energy research and offer insights on best practices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
    12. Nagababu, Garlapati & Kachhwaha, Surendra Singh & Savsani, Vimal, 2017. "Estimation of technical and economic potential of offshore wind along the coast of India," Energy, Elsevier, vol. 138(C), pages 79-91.
    13. Sergen Tumse & Mehmet Bilgili & Alper Yildirim & Besir Sahin, 2024. "Comparative Analysis of Global Onshore and Offshore Wind Energy Characteristics and Potentials," Sustainability, MDPI, vol. 16(15), pages 1-28, August.

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