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Wind Characteristics and Weibull Parameter Analysis to Predict Wind Power Potential Along the South-East Coastline of Tamil Nadu

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Advances in Data Science (ICIIT 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 941))

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Abstract

The main objective of this paper was to analyze the statistical wind data obtained from the measurements of Automatic Weather Station (AWS), India Meteorological Data (IMD) located in the south-east coastline of Tamil Nadu. In this study the Wind Power Density (WPD) estimation output for a small scale wind power from the surface wind data was analyzed using Weibull parameters and maximum likelihood and least square methods. The Wind Speed and Wind Direction frequency distributions from the year 2009 to 2013 were analyzed. The Weibull parameters are determined based on the wind distribution statistics calculated from the measured data. The Wind Power Density out with the actual data were compared and it is shown that the Weibull representative data estimate the wind energy output very accurately.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India

    P. S. Maran

  2. Centre for Earth and Atmospheric Sciences, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India

    P. M. Velumurugan & B. Prabhu Dass Batvari

Authors
  1. P. S. Maran
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  2. P. M. Velumurugan
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  3. B. Prabhu Dass Batvari
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Corresponding author

Correspondence to P. S. Maran .

Editor information

Editors and Affiliations

  1. Carnegie Mellon University, Pittsburgh, PA, USA

    Leman Akoglu

  2. University of Southern California, Marina Del Rey, CA, USA

    Emilio Ferrara

  3. CEG, Anna University, Chennai, India

    Mallayya Deivamani

  4. Northeastern University at Silicon Valley, San Jose, CA, USA

    Ricardo Baeza-Yates

  5. Anna University, Chennai, India

    Palanisamy Yogesh

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Maran, P.S., Velumurugan, P.M., Batvari, B.P.D. (2019). Wind Characteristics and Weibull Parameter Analysis to Predict Wind Power Potential Along the South-East Coastline of Tamil Nadu. In: Akoglu, L., Ferrara, E., Deivamani, M., Baeza-Yates, R., Yogesh, P. (eds) Advances in Data Science. ICIIT 2018. Communications in Computer and Information Science, vol 941. Springer, Singapore. https://doi.org/10.1007/978-981-13-3582-2_15

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  • DOI: https://doi.org/10.1007/978-981-13-3582-2_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3581-5

  • Online ISBN: 978-981-13-3582-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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