Articles | Volume 54
https://doi.org/10.5194/adgeo-54-79-2020
https://doi.org/10.5194/adgeo-54-79-2020
17 Oct 2020
 | 17 Oct 2020

Layout optimization for offshore wind farms in India using the genetic algorithm technique

Narender Kangari Reddy and Somnath Baidya Roy

Related authors

Improving the representation of major Indian crops in the Community Land Model version 5.0 (CLM5) using site-scale crop data
K. Narender Reddy, Somnath Baidya Roy, Sam S. Rabin, Danica L. Lombardozzi, Gudimetla Venkateswara Varma, Ruchira Biswas, and Devavat Chiru Naik
EGUsphere, https://doi.org/10.5194/egusphere-2024-1431,https://doi.org/10.5194/egusphere-2024-1431, 2024
Short summary
Carbon fluxes in spring wheat agroecosystem in India
Kangari Narender Reddy, Shilpa Gahlot, Somnath Baidya Roy, Gudimetla Venkateswara Varma, Vinay Kumar Sehgal, and Gayatri Vangala
Earth Syst. Dynam., 14, 915–930, https://doi.org/10.5194/esd-14-915-2023,https://doi.org/10.5194/esd-14-915-2023, 2023
Short summary
Editorial: Global warming is due to an enhanced greenhouse effect, and anthropogenic heat emissions currently play a negligible role at the global scale
Axel Kleidon, Gabriele Messori, Somnath Baidya Roy, Ira Didenkulova, and Ning Zeng
Earth Syst. Dynam., 14, 241–242, https://doi.org/10.5194/esd-14-241-2023,https://doi.org/10.5194/esd-14-241-2023, 2023
Recovery processes in coastal wind farms under sea-breeze conditions
Tanvi Gupta and Somnath Baidya Roy
Adv. Geosci., 56, 129–139, https://doi.org/10.5194/adgeo-56-129-2021,https://doi.org/10.5194/adgeo-56-129-2021, 2021
Short summary
Evaluation of subseasonal to seasonal forecasts over India for renewable energy applications
Aheli Das and Somnath Baidya Roy
Adv. Geosci., 56, 89–96, https://doi.org/10.5194/adgeo-56-89-2021,https://doi.org/10.5194/adgeo-56-89-2021, 2021
Short summary

Cited articles

Atlas, R., Hoffman, R. N., Ardizzone, J., Leidner, S. M., Jusem, J. C., Smith, D. K., and Gombos, D.: A cross-calibrated, multiplatform ocean surface wind velocity product for meteorological and oceanographic applications, B. Am. Meteorol. Soc., 92, 157–74, https://doi.org/10.1175/2010BAMS2946.1, 2011. 
Barthelmie, R. J., Pryor, S. C., Frandsen, S. T., Hansen, K. S., Schepers, J. G., Rados, K., Schlez, W., Neubert, A., Jensen, L. E., and Neckelmann, S.: Quantifying the impact of wind turbine wakes on power output at offshore wind farms, J. Atmos. Ocean. Tech., 27, 1302–1317, https://doi.org/10.1175/2010JTECHA1398.1, 2010. 
CEA – Central Electricity Authority: Draft national electricity plan, Ministry of Power, Govt. of India, Vol. 1, 375 pp., available at: http://www.cea.nic.in/reports/committee/nep/nep_dec.pdf (last access: 6 June 2020), 2016. 
Charhouni, N., Sallaou, M., and Mansouri, K.: Realistic Wind Farm Design Layout Optimization with Different Wind Turbines Types, Int. J. Energ. Environ. Eng., 10, 307–318, https://doi.org/10.1007/s40095-019-0303-2, 2019. 
Chen, K., Song, M. X., Zhang, X., and Wang, S. F.: Wind turbine layout optimization with multiple hub height wind turbines using Greedy Algorithm, Renew. Energ., 96, 676–686, https://doi.org/10.1016/j.renene.2016.05.018, 2016. 
Download
Short summary
In this study, we apply the Genetic Algorithm technique that mimics the natural selection process observed in nature to design optimal layouts for massive wind farms off the southeastern coast of India using real wind data. Our results show that layout optimization leads to large improvements in power generation (up to 28 %), efficiency (up to 34 %), and cost (up to 25 %) due to the reduction in wake losses.