Skip to main content

Wind Potential Assessment for Micropower Generation in Tropical Wet Climate of India

  • Conference paper
  • First Online:
Recent Advances in Power Systems

Abstract

In this paper, wind potential assessment of a wind site of Indian state of Goa under warm humid climatic zone is proposed using statistical distribution functions. Weibull and Rayleigh models were used for the statistical analysis of wind speed using  typical meteorological year (TMY) data and wind rose diagram was plotted to study the wind direction and velocity. The results obtained were promising in terms of wind power density and Raleigh model best suits for Goa wind site.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ministry of Renewable Energy (MNRE), Report (2019)

    Google Scholar 

  2. Mathew, S.: Wind Energy: Fundamentals Resource Analysis and Economics. Springer, Berlin (2006)

    Book  Google Scholar 

  3. Manwell, J.F., Mcgowan, J.G., Rogers, A.L.: Wind Energy Explained: Theory, Design and Application, 2nd ed. Wiley, New (2009)

    Google Scholar 

  4. Nelson, V.: Wind Energy Renewable Energy and the Environment, 2nd ed. Taylor & Francis Group, LLC, Boca Raton (2014)

    Google Scholar 

  5. Twidell, J.W., Weir, A. D.: Renewable Energy Resources, 2nd ed. Taylor & Francis, Boca Raton (2006)

    Google Scholar 

  6. Li, X.: Green Energy, Basic Concepts and Fundamentals. Springer, London (2011)

    Book  Google Scholar 

  7. Centre for Wind Energy Technology: Course Material: Seventh International Training Course on Wind Turbine Technology and Applications, pp. 3–26. Chennai: C-WET (2011)

    Google Scholar 

  8. Carta, J.A., Ramirez, P.: Use of finite mixture distribution models in the analysis of wind energy in the Canarian Archipelago. Energy Convers. Manage. 48, 281–91 (2007)

    Google Scholar 

  9. Premono, B.S., Tjahjana, D.D.D.P. Hadi, S.: Wind energy potential assessment to estimate performance of selected wind turbine in northern coastal region of Semarang-Indonesia. In: International Conference on Engineering, Science and Nanotechnology 2016 (ICESNANO 2016), AIP Conference Proceedings 1788, pp. 030026-1–030026-10 (2016)

    Google Scholar 

  10. Altunkaynak., A., Erdik, T., Dabanlı, T., Sen, Z.: Theoretical derivation of wind power probability distribution function and applications. Appl. Energy 92, 809–814 (2012)

    Google Scholar 

  11. Rajapaksha, K., Perera, K.: Wind speed analysis and energy calculation based on mixture distribution in Narakkalliya, Sir Lanka. J. Natl. Sci. Foundation 44(4), 409–416 (2016)

    Google Scholar 

  12. Carta, J.A., Ramirez, P.: Use of finite mixture distribution models in the analysis of wind power in the Canarian archipelago. Energy Convers. Manage. 48(1), 281–291 (2007)

    Google Scholar 

  13. Kollu, R., Rayapudi, S.R., Narasimham, S.V.L., Pakkurthi, K.M.: Mixture probability distribution functions to model wind speed distributions. Int. J. Energy Environ. Eng. 3, 27 (2012)

    Google Scholar 

  14. Dahmouni, A.W., Ben Salah, M., Askri, F., Aloui, F., Ben Nasrallah, S.: Wind energy potential in the site of Borj-Cedria in Tunisia. In: CICME’08 (2008)

    Google Scholar 

  15. Chang, T.P.: Estimation of wind energy potential using different probability density functions. Appl. Energy 88, 1848–1856 (2011)

    Google Scholar 

  16. Chang, T.P.: Performance comparison of six numerical methods in estimating Weibull parameters for wind energy application. Appl. Energy 88, 272–282 (2011)

    Google Scholar 

  17. Akdag, S.A., Dinler, A.: A new method to estimate Weibull parameters for wind energy applications. Energy Convers. Manage. 50, 1761–1766 (2009)

    Google Scholar 

  18. Rocha, P.A.C., de Sousa, R.C., de Andrade, C.F., da Silva, M.E.V.: Comparison of seven numerical methods for determining Weibull parameters for wind energy generation in the northeast region of Brazil. Appl. Energy 89(1), 395–400 (2012)

    Google Scholar 

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

    Google Scholar 

  20. Patil, K.N., Kaushik, S.C.: Study of climatic potential for natural ventilation in buildings for typical Indian cities. Int. J. Ventil. 13(4), 369–380 (2015)

    Google Scholar 

  21. Patil, K.N., Kaushik, S.C., Garg, S.N.: Performance prediction and assessment of energy conservation potential for a light pipe system in Indian composite climate of New Delhi. ASME J. Sol. Energy Eng. (2018)

    Google Scholar 

  22. Patil, K.N., Kaushik, S.C., Aggarwal, A.: Evaluation of natural ventilation potential for indoor thermal comfort in a low-rise building in arid and semi-arid climates of India. In: Zhang, G., Kaushika, N., Kaushik, S., Tomar, R. (eds) Advances in Energy and Built Environment. Lecture Notes in Civil Engineering, vol 36. Springer, Singapore (2020)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Santoshkumar Hampannavar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hampannavar, S., Patil, K.N., Manasani, S., Udaykumar, R.Y., Mandi, R.P., Nandakumar, C. (2021). Wind Potential Assessment for Micropower Generation in Tropical Wet Climate of India. In: Gupta, O.H., Sood, V.K. (eds) Recent Advances in Power Systems. Lecture Notes in Electrical Engineering, vol 699. Springer, Singapore. https://doi.org/10.1007/978-981-15-7994-3_31

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-7994-3_31

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-7993-6

  • Online ISBN: 978-981-15-7994-3

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics