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Offshore Wind Energy Potential Assessment of India Based on the Synergetic Use of QuikSCAT, OSCAT and ASCAT Scatterometers Data

  • Surisetty V. V. Arun KumarEmail author
  • Jagdish Prajapati
  • Raj Kumar
Conference paper
Part of the Lecture Notes in Civil Engineering book series (LNCE, volume 23)

Abstract

Wind energy is recognised as one of the economically viable and substantiate renewable energy technologies worldwide to expedient the rising electricity requirements in a sustainable way. Presently, India has onshore wind farms accounting the fifth largest wind power capacity in the world. The National Offshore Wind Energy Policy 2015 of the Government of India aims to harness the wind resources within the Exclusive Economic Zone (EEZ). Accordingly, a target of 60,000 MW power generation by 2022 has been set to realise from onshore and offshore wind farms. The traditional method of wind resource assessment for wind energy applications is carried out by analysing a large amount of in situ wind data at different heights. In Indian waters, there are few offshore wind buoys and meteorological masts and are limited to few locations. Satellite remote sensing helps in providing synoptic data due to its larger swaths, better repetivity and longer acquisition periods. Microwave scatterometers are one among them, which provide sufficient data over the entire globe. In this study, the offshore wind climatology in the Indian seas (the Bay of Bengal and the Arabian Sea) is generated from large datasets of QuikSCAT (1999–2009), OSCAT (2010–2014), ASCAT on-board Metop-A (2010–2016) and on Metop-B (2012–2016) scatterometers synergistically. Orbit-wise scatterometer wind products have been processed to generate long-term synoptic monthly means of wind speed and direction. Wind Power Density-WPD (W/m2) was calculated using Weibull distribution parameters at 10 m height. The wind speed, WPD, Power production have been estimated at different heights above the sea surface using a combination of logarithmic law and Weibull scale and shape parameters for few standard turbines of different capacities. Monthly and Annual wind energy potential has been estimated by considering the bathymetric variations and distance away from the coast for all the coastal states within the EEZ of Indian coast.

Keywords

Wind energy Resource Offshore wind Scatterometer India 

Notes

Acknowledgements

The authors are grateful to Shri Tapan Misra, Director, Space Applications Centre (ISRO) for his constant support and encouragement. The first author is thankful to Dr. A. S. Rajawat, Group Director (GHCAG), Shri. Arun Kumar Sharma, Head (GSD) and Dr. Rashmi Sharma, Head (OSD) for their suggestions and encouragement. The second author is thankful to the HOD, Department of Mathematics, Gujarat University for his support. Authors are thankful to MOSDAC and JPL NASA for providing scatterometer wind data.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Surisetty V. V. Arun Kumar
    • 1
    Email author
  • Jagdish Prajapati
    • 2
  • Raj Kumar
    • 1
  1. 1.Earth, Ocean, Atmosphere, Planetary Sciences and Applications Area (EPSA)Space Applications Centre (ISRO)AhmedabadIndia
  2. 2.Department of MathematicsGujarat UniversityAhmedabadIndia

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