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Exploring the Offshore Wind Resource Potential of India Based on Remotely Sensed Wind Field Data

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Abstract

Offshore wind energy is one of the fastest growing renewable energy technologies. India is still foraying into offshore wind energy sector. This paper examines the offshore wind resource potential for India based on ASCAT wind speed observations for the most recent period from 2007 to 2020. The 13 year wind speed observations are used to assess the spatio-temporal variations of wind speeds and wind power densities. Two specific high wind potential zones are identified along the Indian coast: (1) off Gulf of Khambhat (Site 1) and (2) south of Tamil Nadu (Site 2). The results show that at 10 m height, the long-term average wind speed is above 6 m/s at both the potential sites, which is above the cut-in wind speed of most wind turbines. Consistent with the seasonal cycle, the wind speed is highest in the summer and lowest during spring. Annual average values of wind power density at Site 1 and Site 2 are 203 W/m2 and 265 W/m2 indicating that these sites stand in power class 4 and 5, respectively. It is also observed that year-round, the dominant wind direction is easterly and north-easterly at Site 1 and Site 2, respectively. Analysis indicated that at least 175 and 260 days in a year the wind speeds exceed 6 m/s at Site 1 and Site 2, respectively. While both the sites performed reasonably good in the wind resource characteristics, Site 2 with high and sustained winds has the best wind resource than elsewhere along the Indian coastal region.

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References

  • Antonio, P., Achille, P., Francesco, R., & Michele, T. (2005). Feasibility study of offshore wind farms: An application to Puglia region. Solar Energy, 79(3), 321–331.

    Article  Google Scholar 

  • Arun Kumar, S. V. V., Prajapati, J., Kumar, R. (2016). Evaluation of offshore wind energy resources for power generation based on scatterometer and SAR data along the Indian coast. In: R. J. Frouin, S. C. Shenoi, K. H. Rao (Eds.), Proceedings of the SPIE- In remote sensing of the oceans and inland waters: techniques, applications, and challenges (vol. 9878, pp. 1–8).

  • Arun Kumar, S. V. V., Prajapati, J., Kumar, R. (2019). Offshore wind energy potential assessment of India based on the synergistic use of QuikSCAT, OSCAT and ASCAT scatterometers data. In book: Proceedings of the Fourth International Conference in Ocean Engineering (ICOE2018) Springer, https://doi.org/10.1007/978-981-13-3134-3_61.

  • Bailey, B., Brennan, S., Kinal, B., Markus, M., & Kreiselman, J. (2002). Long islands offshore wind energy development potential: Phase 1. AWS Scientific Inc.

    Google Scholar 

  • Balouktsis, A., Chassapis, D., & Karapantsios, T. D. (2002). A nomogram method for estimating the energy produced by wind turbine generators. Solar Energy, 72(3), 251–259.

    Article  Google Scholar 

  • Elliott, D., & Schwartz, M. N. (1993). Wind energy potential in the United states. Richland Wash: Tech rep. PNL-SA-23109, Pacific Northwest Laboratory.

    Google Scholar 

  • Elliott, D. L., Holladay, C. G., Barchet, W. R., Foote, H. P., Sandusky, W. F. (1986). Wind energy resource atlas of the United States. Solar technical information program. Golden, CO: National renewable energy laboratory. (http://rredc.nrel.gov/wind/pubs/atlas/).

  • Evangalia, M. G., & Nhili, R. (2014). WRF model methodology for offshore wind energy applications. Advances in Meterology. https://doi.org/10.1155/2014/319819

    Article  Google Scholar 

  • Garlapati, N., Ravi, S. R., Natansh, K. N., Surendra, S. K., & Vimal, S. (2015). Application of OSCAT satellite data for offshore wind power potential assessment of India. Energy Procedia, 90, 89–98. https://doi.org/10.1016/j.egypro.2016.11.173

    Article  Google Scholar 

  • Gubbala, S. C., Dodla, V. B. R., & Desamsetti, S. (2021). Assessment of wind energy potential over India using high-resolution global reanalysis data. Journal of Earth System Science, 130, 64.

    Article  Google Scholar 

  • Guo, Q., Xu, X., Zhang, K., Li, Z., Huang, W., Mansaray, L., et al. (2018). Assessing global ocean wind energy resources using multiple satellite data. Remote Sensing, 10, 100. https://doi.org/10.3390/rs10010100

    Article  Google Scholar 

  • Hasager, C. B., Nielsen, M., Astrup, P., Barthelmie, R., Dellwik, E., Jensen, N. O., Jorgensen, B. H., Pryor, S. C., Rathmann, O., & Furevik, B. R. (2005). Offshore resource estimation from satellite SAR wind field maps. Wind Energy (chichester Engl), 8(4), 403–419.

    Article  Google Scholar 

  • Kim, J.-Y., Ki-Yong, Oh., Min-Suek, K., & Kwang,-Yul Kim. (2019). Evaluation and characterization of offshore wind resources with long-term met mast data corrected by wind lidar. Renewable Energy, 144, 41–55. https://doi.org/10.1016/j.renene.2018.06.097

    Article  Google Scholar 

  • Krishnamoorthy, R., Udhayakumar, K., Raju, K., Elavarasan, R. M., & Popa, L. M. (2020). An assessment of onshore and offshore wind energy potential in india using moth flame optimization. Energies, 13, 3063. https://doi.org/10.3390/en13123063

    Article  Google Scholar 

  • Mattar, C., & Borvarán, D. (2016). Offshore wind power simulation by using WRF in the central coast of Chile. Renewable Energy, 94, 22–31. https://doi.org/10.1016/j.renene.2016.03.005

    Article  Google Scholar 

  • Ministry of New and Renewable Energy (MNRE). (2019). India-Paris Agreement Commitments, the Government of India. MNRE Annual Report 2018–19; MNRE: New Dehli, India.

  • Ministry of New and Renewable Energy (MNRE). (2020). Programme Scheme Wise Physical Progress in 2019–20 and Cumulative up to March 2020; MNRE: New Dehli, India

  • Oluseyi, A. O., Ojo, O., & Vasel, A. (2019). On the need for the development of low wind speed turbine generator system. IOP Conference Series Earth Environment Science, 331, 012062. https://doi.org/10.1088/1755-1315/331/1/012062

    Article  Google Scholar 

  • Osinowo, A. A., Okogbue, E. C., Eresanya, E. O., et al. (2017). Evaluation of wind potential and its trends in the mid-Atlantic. Modeling Earth System and Environment. https://doi.org/10.1007/s40808-017-0399-4

    Article  Google Scholar 

  • Patel, R. P., Nagababu, G., Jani, H. K., Kachhwaha, S. S., Seemanth M. (2019). Wind and wave energy resource assessment along shallow water region of Indian coast. International conference on thermal engineering: theory and applications

  • Pimenta, F., Kempton, W., & Garvine, R. (2008). Combining meteorological stations and satellite data to evaluate the offshore wind power resource of southeastern Brazil. Renewable Energy, 33(11), 2375–2387. https://doi.org/10.1016/j.renene.2008.01.012

    Article  Google Scholar 

  • Prabir, D. (2019). Wind energy in India. MNRE Report. MNRE: New Delhi, India. https://mnre.gov.in/img/documents/uploads/2e423892727a45e93a784f38d8622f7.pdf

  • Reiszadeh, M., & Motahar, S. (2011). The wind energy potential in the coasts of Persian Gulf used in design and analysis of a horizontal axis wind turbine. World Renewable Congress, 15, 4058–4065.

    Google Scholar 

  • Remmers, T., Cawkwell, F., Desmond, C., Murphy, J., & Politi, E. (2019). The potential of advanced scatterometer (ASCAT) 12.5 km coastal observations for offshore wind farm site selection in irish waters. Energies, 12, 206. https://doi.org/10.3390/en12020206

    Article  Google Scholar 

  • Saleh, H., El-Azm Aly, A. A., & Abdel-Hady, S. (2012). Assessment of different methods used to estimate weibull distribution parameters for wind speed in Zafarana wind farm, Suez Gulf Egypt. Energy, 44, 710–719. https://doi.org/10.1016/j.energy.2012.05.021

    Article  Google Scholar 

  • Tang, W., Liu, W. T., & Stiles, B. W. (2004). Evaluation of high-resolution ocean surface vector winds measured by QuikSCAT scatterometer in coastal regions. IEEE Transactions on Geoscience and Remote Sensing, 42(8), 1762–1769. https://doi.org/10.1109/TGRS.2004.831685

    Article  Google Scholar 

  • Touma, J. S. (1977). Dependence of the wind profile power law on stability for various locations. Journal of the Air Pollution Control Association, 27, 863–868.

    Article  Google Scholar 

  • Verhoef, A., Vogelzang, J., Stoffelen, A. (2016). ASCAT L2 winds data record validation report. Royal Netherlands meteorological institute, De Bilt, Netherlands, Ocean and Sea Ice SAF technical note SAF/OS/CDOP2/KNMI/TEC/RP/239

  • Wolfson, R. (2012). Energy, environment and climate (2nd ed., pp. 366–370). WW Norton and Company Inc.

    Google Scholar 

  • Yang, S., Duan, S., Fan, L., Zheng, C., Li, X., Li, H., Xu, J., Wang, Q., & Feng, M. (2019). 10-year wind and wave energy assessment in the North Indian Ocean. Energies, 12(20), 3835. https://doi.org/10.3390/en12203835

    Article  Google Scholar 

  • Youm, I., Sarr, J., Sall, M., Ndiaye, A., & Nane, M. M. (2005). Analysis of wind data and wind energy potential along northern coastal Senegal. Renewable and Sustainable Energy Reviews, 8, 95–108.

    Google Scholar 

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Acknowledgements

ASCAT data is provided by Asia-pacific Data Research Center, which is a part of the international Pacific Research Center at the University of Hawaii at Manoa, funded in part by the National Oceanic and Atmospheric Administration (NOAA). All the figures in the manuscript are plotted using Ferret and Origin. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. Thanks also to the anonymous reviewers for their constructive comments which helped greatly in improving this paper.

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  1. Regional Remote Sensing Centre-East, National Remote Sensing Centre, Indian Space Research Organization, Action Area 1B, Plot No. BG2, Kolkata, 700156, India

    Neethu Chacko

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Chacko, N. Exploring the Offshore Wind Resource Potential of India Based on Remotely Sensed Wind Field Data. J Indian Soc Remote Sens 50, 1689–1700 (2022). https://doi.org/10.1007/s12524-022-01550-7

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