American Journal of Energy Engineering

| Peer-Reviewed |

Impact of Atmospheric Parameters on Power Generation of Wind Turbine

Received: 27 April 2016    Accepted: 13 May 2016    Published: 30 May 2016
Views:       Downloads:

Share This Article

Abstract

Economic growth of any country depends on access to reliable energy. Wind energy is fast gaining importance among non-conventional sources, which is a function of parameters like topography of the terrain, weather conditions etc. The present work explores the potential of a 225 MW turbine located in a mountainous site in Maharashtra, India. Values of wind velocity, air temperature, density and power generation were recorded for one complete year. Analysis was done using power curves. The results show that the energy output of wind turbine is based on power curves of a specific site. The conceptual features such as energy per rated power, efficiency of wind turbine and average energy per hour are calculated. It is useful for the investor to access the wind turbine pay-back period and adopt of new optimizing technique.

DOI 10.11648/j.ajee.20160402.12
Published in American Journal of Energy Engineering (Volume 4, Issue 2, March 2016)
Page(s) 17-25
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Wind Energy, Atmospheric Parameters, Wind Power Generation

References
[1] Demirbas A. Biomass and the other renewable and sustainable energy options for Turkey in the twenty-first century. Energy Sources, V. 23 pp. 177–87, (2001).
[2] Cavallo A. J, Grubb M. J. Renewable energy sources for fuels and electricity. London: Earthscan Publications Ltd, (1993).
[3] Celik A. N. A simplified model for estimating the monthly performance of autonomous wind energy systems with battery storage. Renewable Energy, V. 28, pp. 561–72, (2003).
[4] Ravindra B Sholapurkar and Yogesh S Mahajan, Review of wind energy development and policy in India, Energy Technology and Policy, V. 2, pp. 122-132, (2015).
[5] Renewable Energy Resources: Opportunities and Constraints 1990—2020, study performed and published by the World Energy Council, London, UK, (1993).
[6] Lazar Lazic, Goran Pejanovic, Momcilo Zivkovic and Luca Llic, Improved wind forecasts for wind power generation using the Eta model and MOS (Model Output Statistics) method, Energy, pp. 567-574, (2014).
[7] Akpinar E. K, Akpinar S, An assessment on seasonal analysis of wind energy characteristics and wind turbine characteristics, Energy Conservation and Management, V. 46, pp. 1848-67, (2004).
[8] Lun I. Y. F., J. C. Lam, A study of Weibull parameters using long-term wind observations, Renewable Energy V.20, pp. 145–153, (2000).
[9] Seguro J. V., T. W. Lambert, Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis, Journal of Wind Engineering and Industrial Aerodynamics, V.85 pp.75–84, (2000).
[10] Pechak Olena, Mavrotas George, Diakoulaki Danae., Role and contribution of the clean development mechanisms to the development of wind energy, Energy, V.7, pp.75-85, (2011).
[11] Ali Naci Celik, Energy output estimation for small-scale wind power generators using weibull-representative data, Journal of Wind Engineering and Industrial Aerodynamics, V. 91, pp. 693-707, (2003).
[12] Gipe P., Wind Energy Comes of Age, Wiley, New York, NY, (1995).
[13] Olayinka S. Ohunakin, Olaolu O. Akinnawonu., Assessment of wind energy potential and the economics of power generation in Jos Plateau state, Nigeria, Sustainable for Energy, V.16, pp.78-83. (2012).
[14] Tow Leong Tiang, Dahaman Ishak., Technical review of wind energy potential as small-scale power generation sources in Penang Island Malasia, Renewable and sustainable energy review. V. 16, pp. 3034-3042, (2012).
[15] Casale C., E. Sesto, Wind Power Systems for Power Utility Grid Connection, Advances in Solar Energy, V. 9, USA, (1994).
[16] Sesto E., D. F. Ancona, Present and prospective role of wind energy in electricity supply, in: Proc. Of New Electricity 21, Paris, OECD Publications, Paris, France, (1995).
[17] Marco Rauge, Ilvia Bargigli, Sergio Ulgiati, Life cycle assessment and energy payback time of advanced photovoltaic modules: Cd Te and CIS compared to poly-Si, Energy, V. 32, pp. 1310-1318, (2007).
[18] Keith M Sundeland, Gerald Mills, Michael F Conlon, Estimating the wind resource in an urban area: A case study of micro-wind generation potential in Dubin, Ireland, Journal of Wind Engineering and Industrial Aerodynamics., V. 118, pp. 44-53, (2013).
[19] Landberg L., Short-term prediction of the power production from wind farms, Journal of Wind Engineering and Industrial Aerodynamics. V. 80, pp. 207-220, (1999).
[20] https://nccr.iitm.ac.in/ebook%20final.pdf B. Viswanathan., An introduction to energy sources, national center for catalysis research department of chemistry Indian institute of technology, Madras, (2006).
[21] Sfetsos A., A comparison of various forecasting techniques applied to mean hourly wind speed time- series, Renewable Energy. V. 21, pp. 23-35, (2000).
[22] http://onlinelibrary.wiley.com/doi/10.1002/9783527646289.ch1/summary, Edward L. Wolf, A Survey of Long-Term Energy Resources, Nanophysics of Solar and Renewable Energy, Wiley publication, (2012).
[23] Thor S, Taylor P W., Long-term research and development needs for wind energy for the time frame 2000–2020. Wind Energy. V. 5, pp. 73–75, (2002).
[24] Trivedi M P, 1999. Environmental factors affecting wind energy generation in western Coastal region of India. Renewable Energy, V. 16, pp. 894-898, (1999).
[25] Zhigang Lu, Shoulong He, Tao Feng, Xueping Li, Xiaoqiang Guo and Xiaofeng Sun, Robust economic/emission dispatch considering wind power uncertainties and flexible operation of carbon capture and storage, International Journal of Electrical power and Energy Systems, V. 63, pp. 285-292, (2014).
[26] Rai G. D. Non-Conventional Energy sources, Khanna Publishers, (2011).
[27] Masseran, A M, Razali K Ibrahim, An analysis of wind power density derived from several wind speed density functions: the regional assessment on wind power in Malaysia, Renewable and Sustainable Energy Reviews, V. 16, pp. 6476-6487, (2012).
Author Information
  • Department of Chemical Engineering, DR. Babasaheb Ambedkar Technological University, Lonere, Tal Mangaon, Dist. Raigad, Maharashtra, India

  • DR. Babasaheb Ambedkar Technological University, Lonere, Tal Mangaon, Dist. Raigad, Maharashtra, India

Cite This Article
  • APA Style

    Ravindra B. Sholapurkar, Yogesh S. Mahajan. (2016). Impact of Atmospheric Parameters on Power Generation of Wind Turbine. American Journal of Energy Engineering, 4(2), 17-25. https://doi.org/10.11648/j.ajee.20160402.12

    Copy | Download

    ACS Style

    Ravindra B. Sholapurkar; Yogesh S. Mahajan. Impact of Atmospheric Parameters on Power Generation of Wind Turbine. Am. J. Energy Eng. 2016, 4(2), 17-25. doi: 10.11648/j.ajee.20160402.12

    Copy | Download

    AMA Style

    Ravindra B. Sholapurkar, Yogesh S. Mahajan. Impact of Atmospheric Parameters on Power Generation of Wind Turbine. Am J Energy Eng. 2016;4(2):17-25. doi: 10.11648/j.ajee.20160402.12

    Copy | Download

  • @article{10.11648/j.ajee.20160402.12,
      author = {Ravindra B. Sholapurkar and Yogesh S. Mahajan},
      title = {Impact of Atmospheric Parameters on Power Generation of Wind Turbine},
      journal = {American Journal of Energy Engineering},
      volume = {4},
      number = {2},
      pages = {17-25},
      doi = {10.11648/j.ajee.20160402.12},
      url = {https://doi.org/10.11648/j.ajee.20160402.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajee.20160402.12},
      abstract = {Economic growth of any country depends on access to reliable energy. Wind energy is fast gaining importance among non-conventional sources, which is a function of parameters like topography of the terrain, weather conditions etc. The present work explores the potential of a 225 MW turbine located in a mountainous site in Maharashtra, India. Values of wind velocity, air temperature, density and power generation were recorded for one complete year. Analysis was done using power curves. The results show that the energy output of wind turbine is based on power curves of a specific site. The conceptual features such as energy per rated power, efficiency of wind turbine and average energy per hour are calculated. It is useful for the investor to access the wind turbine pay-back period and adopt of new optimizing technique.},
     year = {2016}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Impact of Atmospheric Parameters on Power Generation of Wind Turbine
    AU  - Ravindra B. Sholapurkar
    AU  - Yogesh S. Mahajan
    Y1  - 2016/05/30
    PY  - 2016
    N1  - https://doi.org/10.11648/j.ajee.20160402.12
    DO  - 10.11648/j.ajee.20160402.12
    T2  - American Journal of Energy Engineering
    JF  - American Journal of Energy Engineering
    JO  - American Journal of Energy Engineering
    SP  - 17
    EP  - 25
    PB  - Science Publishing Group
    SN  - 2329-163X
    UR  - https://doi.org/10.11648/j.ajee.20160402.12
    AB  - Economic growth of any country depends on access to reliable energy. Wind energy is fast gaining importance among non-conventional sources, which is a function of parameters like topography of the terrain, weather conditions etc. The present work explores the potential of a 225 MW turbine located in a mountainous site in Maharashtra, India. Values of wind velocity, air temperature, density and power generation were recorded for one complete year. Analysis was done using power curves. The results show that the energy output of wind turbine is based on power curves of a specific site. The conceptual features such as energy per rated power, efficiency of wind turbine and average energy per hour are calculated. It is useful for the investor to access the wind turbine pay-back period and adopt of new optimizing technique.
    VL  - 4
    IS  - 2
    ER  - 

    Copy | Download

  • Sections