IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v25y2002i3p381-399.html
   My bibliography  Save this article

Analysis of wind regimes for energy estimation

Author

Listed:
  • Mathew, Sathyajith
  • Pandey, K.P.
  • Kumar.V, Anil

Abstract

Supplementing our energy base with clean and renewable sources of energy has become imperative due to the present day's energy crisis and growing environmental consciousness. Wind is one of the potential renewable energy sources, which can be harnessed in a commercial scale for various end-uses. A precise knowledge of wind regime characteristics is a pre-requisite for the efficient planning and implementation of any wind energy project. In the present study, a method for characterizing wind regimes, bringing out their energy potential, is discussed. A Rayleigh distribution was adopted for defining the distribution of wind velocity in terms of its probability density and cumulative distribution functions. Expressions to compute the energy density, energy available in the wind spectra in a time period and the energy received by turbine have been developed. A method to identify the most frequent wind speed and velocity that carries maximum amount of energy with it, is also discussed. The analysis of wind energy potential of a eight sites in Kerala, India, adopting this procedure is presented. The performance of three wind turbines differing in their working velocity band, at these sites are compared. The effect of cut-in and cut-out wind speeds on wind turbine performance are also analyzed.

Suggested Citation

  • Mathew, Sathyajith & Pandey, K.P. & Kumar.V, Anil, 2002. "Analysis of wind regimes for energy estimation," Renewable Energy, Elsevier, vol. 25(3), pages 381-399.
    • Handle: RePEc:eee:renene:v:25:y:2002:i:3:p:381-399
    DOI: 10.1016/S0960-1481(01)00063-5
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148101000635
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/S0960-1481(01)00063-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Türksoy, Ferdi, 1995. "Investigation of wind power potential at Bozcaada, Turkey," Renewable Energy, Elsevier, vol. 6(8), pages 917-923.
    2. Panda, R.K. & Sarkar, T.K. & Bhattacharya, A.K., 1990. "Stochastic study of the wind-energy potential of India," Energy, Elsevier, vol. 15(10), pages 921-930.
    3. Som, A.K. & Ragab, F.M., 1993. "A preliminary study of wind power potential in Bahrain," Renewable Energy, Elsevier, vol. 3(1), pages 67-74.
    4. Nfaoui, H. & Bahraui, J. & Darwish, A.S. & Sayigh, A.A.M., 1991. "Wind energy potential in Morocco," Renewable Energy, Elsevier, vol. 1(1), pages 1-8.
    5. Jamil, M. & Parsa, S. & Majidi, M., 1995. "Wind power statistics and an evaluation of wind energy density," Renewable Energy, Elsevier, vol. 6(5), pages 623-628.
    6. Scerri, E. & Farrugia, R., 1996. "Wind data evaluation in the Maltese Islands," Renewable Energy, Elsevier, vol. 7(1), pages 109-114.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Carta, J.A. & Ramírez, P. & Velázquez, S., 2009. "A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 933-955, June.
    2. Calif, Rudy & Emilion, Richard & Soubdhan, Ted, 2011. "Classification of wind speed distributions using a mixture of Dirichlet distributions," Renewable Energy, Elsevier, vol. 36(11), pages 3091-3097.
    3. Joselin Herbert, G.M. & Iniyan, S. & Sreevalsan, E. & Rajapandian, S., 2007. "A review of wind energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(6), pages 1117-1145, August.
    4. Liu, Feng-Jiao & Chen, Pai-Hsun & Kuo, Shyi-Shiun & Su, De-Chuan & Chang, Tian-Pau & Yu, Yu-Hua & Lin, Tsung-Chi, 2011. "Wind characterization analysis incorporating genetic algorithm: A case study in Taiwan Strait," Energy, Elsevier, vol. 36(5), pages 2611-2619.
    5. El Alimi, Souheil & Maatallah, Taher & Dahmouni, Anouar Wajdi & Ben Nasrallah, Sassi, 2012. "Modeling and investigation of the wind resource in the gulf of Tunis, Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5466-5478.
    6. Ahmed Shata, A.S. & Hanitsch, R., 2006. "Evaluation of wind energy potential and electricity generation on the coast of Mediterranean Sea in Egypt," Renewable Energy, Elsevier, vol. 31(8), pages 1183-1202.
    7. Peillón, Manuel & Sánchez, Raúl & Tarquis, Ana M. & García-Fernández, José L., 2013. "The use of wind pumps for greenhouse microirrigation: A case study for tomato in Cuba," Agricultural Water Management, Elsevier, vol. 120(C), pages 107-114.
    8. Shafiqur Rehman & Naif M. Al-Abbadi, 2009. "Wind Power Characteristics on the North West Coast of Saudi Arabia," Energy & Environment, , vol. 20(8-1), pages 1257-1270, December.
    9. Karsli, V.M & Geçit, C, 2003. "An investigation on wind power potential of Nurdaǧı-Gaziantep, Turkey," Renewable Energy, Elsevier, vol. 28(5), pages 823-830.
    10. Keyhani, A. & Ghasemi-Varnamkhasti, M. & Khanali, M. & Abbaszadeh, R., 2010. "An assessment of wind energy potential as a power generation source in the capital of Iran, Tehran," Energy, Elsevier, vol. 35(1), pages 188-201.
    11. A. G. Olabi & Tabbi Wilberforce & Khaled Elsaid & Tareq Salameh & Enas Taha Sayed & Khaled Saleh Husain & Mohammad Ali Abdelkareem, 2021. "Selection Guidelines for Wind Energy Technologies," Energies, MDPI, vol. 14(11), pages 1-34, June.
    12. Eskin, N. & Artar, H. & Tolun, S., 2008. "Wind energy potential of Gökçeada Island in Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(3), pages 839-851, April.
    13. Xydis, George, 2013. "A techno-economic and spatial analysis for the optimal planning of wind energy in Kythira island, Greece," International Journal of Production Economics, Elsevier, vol. 146(2), pages 440-452.
    14. Benseddik, A. & Azzi, A. & Chellali, F. & Khanniche, R. & Allaf, k., 2018. "An analysis of meteorological parameters influencing solar drying systems in Algeria using the isopleth chart technique," Renewable Energy, Elsevier, vol. 122(C), pages 173-183.
    15. Camilo Carrillo & José Cidrás & Eloy Díaz-Dorado & Andrés Felipe Obando-Montaño, 2014. "An Approach to Determine the Weibull Parameters for Wind Energy Analysis: The Case of Galicia (Spain)," Energies, MDPI, vol. 7(4), pages 1-25, April.
    16. Fazelpour, Farivar & Soltani, Nima & Soltani, Sina & Rosen, Marc A., 2015. "Assessment of wind energy potential and economics in the north-western Iranian cities of Tabriz and Ardabil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 87-99.
    17. Islam, M.R. & Saidur, R. & Rahim, N.A., 2011. "Assessment of wind energy potentiality at Kudat and Labuan, Malaysia using Weibull distribution function," Energy, Elsevier, vol. 36(2), pages 985-992.
    18. Jaramillo, O.A. & Borja, M.A., 2004. "Wind speed analysis in La Ventosa, Mexico: a bimodal probability distribution case," Renewable Energy, Elsevier, vol. 29(10), pages 1613-1630.
    19. Farrugia, R. & Scerri, E., 1997. "Analysis of wind characteristics in the Maltese Archipelago," Renewable Energy, Elsevier, vol. 12(4), pages 339-350.
    20. Lidong Zhang & Qikai Li & Yuanjun Guo & Zhile Yang & Lei Zhang, 2018. "An Investigation of Wind Direction and Speed in a Featured Wind Farm Using Joint Probability Distribution Methods," Sustainability, MDPI, vol. 10(12), pages 1-15, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:25:y:2002:i:3:p:381-399. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.