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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ministry of Renewable Energy (MNRE), Report (2019)
Mathew, S.: Wind Energy: Fundamentals Resource Analysis and Economics. Springer, Berlin (2006)
Manwell, J.F., Mcgowan, J.G., Rogers, A.L.: Wind Energy Explained: Theory, Design and Application, 2nd ed. Wiley, New (2009)
Nelson, V.: Wind Energy Renewable Energy and the Environment, 2nd ed. Taylor & Francis Group, LLC, Boca Raton (2014)
Twidell, J.W., Weir, A. D.: Renewable Energy Resources, 2nd ed. Taylor & Francis, Boca Raton (2006)
Li, X.: Green Energy, Basic Concepts and Fundamentals. Springer, London (2011)
Centre for Wind Energy Technology: Course Material: Seventh International Training Course on Wind Turbine Technology and Applications, pp. 3–26. Chennai: C-WET (2011)
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)
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)
Altunkaynak., A., Erdik, T., Dabanlı, T., Sen, Z.: Theoretical derivation of wind power probability distribution function and applications. Appl. Energy 92, 809–814 (2012)
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)
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)
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)
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)
Chang, T.P.: Estimation of wind energy potential using different probability density functions. Appl. Energy 88, 1848–1856 (2011)
Chang, T.P.: Performance comparison of six numerical methods in estimating Weibull parameters for wind energy application. Appl. Energy 88, 272–282 (2011)
Akdag, S.A., Dinler, A.: A new method to estimate Weibull parameters for wind energy applications. Energy Convers. Manage. 50, 1761–1766 (2009)
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)
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)
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)
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)
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights 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
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)