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The Effect of Air Density in Offshore Wind Power Potential in India

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Climate Change and Ocean Renewable Energy (CCORE 2022)

Abstract

In the wind energy sector, the yearly energy production is often calculated using a constant value of air density based on the location's annual average value. As a result, the correction necessary in assessing daily, monthly, or seasonal wind power density (WPD) owing to air density is typically neglected in current literature. Therefore, the present study assessed the WPD due to variations in air density. Indian offshore region is considered as a study area. Further, wind speed, air density and temperature data are taken from the latest ERA5 reanalysis. The findings show that the WPD is higher by 5% as determined by when the air density adjustment is taken into account. Seasonal results show that during summer, WPD has a maximum variation of about 7–8% and a minimum variation of about 2–5.5% during winter.

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References

  1. Villena-Ruiz, R., Ramirez, F.J., Honrubia-Escribano, A., Gómez-Lázaro, E.: A techno-economic analysis of a real wind farm repowering experience: the Malpica case. Energy Convers Manag. 172, 182–199 (2018). https://doi.org/10.1016/J.ENCONMAN.2018.07.024

    Article  Google Scholar 

  2. Zhang, J., Chowdhury, S., Messac, A., Castillo, L.: A multivariate and multimodal wind distribution model. Renew Energy 51, 436–447 (2013). https://doi.org/10.1016/J.RENENE.2012.09.026

    Article  Google Scholar 

  3. Carta, J.A., Mentado, D.: A continuous bivariate model for wind power density and wind turbine energy output estimations. Energy Convers Manag 48, 420–432 (2007). https://doi.org/10.1016/J.ENCONMAN.2006.06.019

    Article  Google Scholar 

  4. Jung, C., Schindler, D.: The role of air density in wind energy assessment – a case study from Germany. Energy 171, 385–392 (2019). https://doi.org/10.1016/j.energy.2019.01.041

    Article  Google Scholar 

  5. Farkas, Z.: Considering Air Density in Wind Power Production (2011)

    Google Scholar 

  6. Ulazia, A., Nafarrate, A., Ibarra-Berastegi, G., Sáenz, J., Carreno-Madinabeitia, S.: The consequences of air density variations over northeastern Scotland for offshore wind energy potential. Energies 12 (2019). https://doi.org/10.3390/en12132635

  7. Ulazia, A., Ibarra-Berastegi, G., Sáenz, J., Carreno-Madinabeitia, S., González-Rojí, S.J.: Seasonal correction of offshore wind energy potential due to air density: case of the Iberian Peninsula. Sustain 11, 1–22 (2019). https://doi.org/10.3390/su11133648

    Article  Google Scholar 

  8. Collins, J., Parkes, J., Tindal, A.: Short term forecasting for utility-scale wind farms — the power model challenge. Wind Eng. 33, 247–257 (2009). https://doi.org/10.1260/0309-524X.33.3.247

    Article  Google Scholar 

  9. Nagababu, G., Surendra Singh, K., Vimal, S., Ranajit, B.: Evaluation of offshore wind power potential in the western coast of India: a preliminary study. Curr. Sci. 112, 62–67 (2017). https://doi.org/10.18520/cs/v112/i01/62-67

    Article  Google Scholar 

  10. Nagababu, G., Kachhwaha, S.S., Savsani, V.: Estimation of technical and economic potential of offshore wind along the coast of India. Energy 138, 79–91 (2017). https://doi.org/10.1016/j.energy.2017.07.032

    Article  Google Scholar 

  11. Nagababu, G., Naidu, N., Kachhwaha, S., Savsani, V:. Feasibility study for offshore wind power development in India based on bathymetry and reanalysis data. Energy Sources Part A Recover. Util. Environ. Eff. 2016. https://doi.org/10.1080/15567036.2016.1233303

  12. Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., et al.: The ERA5 global reanalysis. Q. J. R. Meteorol. Soc. 146, 1999–2049 (2020). https://doi.org/10.1002/QJ.3803

    Article  ADS  Google Scholar 

  13. United States Committee on Extension to the Standard Atmosphere. U.S. Standard Atmospher, 1976 (1976)

    Google Scholar 

  14. Patel, R.P., Nagababu, G., Singh, S., Kumar, V.V.A.: A revised offshore wind resource assessment and site selection along the Indian coast using ERA5 near-hub-height wind products. Ocean Eng. 254, 11134 (2022). https://doi.org/10.1016/j.oceaneng.2022.111341

    Article  Google Scholar 

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Correspondence to Garlapati Nagababu .

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Nagababu, G., Patel, R., Prasad, K.M.V.V. (2023). The Effect of Air Density in Offshore Wind Power Potential in India. In: Haddout, S., Krishnamoorthy Lakshmi, P., Hoguane, A.M. (eds) Climate Change and Ocean Renewable Energy. CCORE 2022. Springer Proceedings in Earth and Environmental Sciences. Springer, Cham. https://doi.org/10.1007/978-3-031-26967-7_2

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