IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v21y2000i2p289-295.html
   My bibliography  Save this article

Wind speed pattern and the available wind power at Basotu, Tanzania

Author

Listed:
  • Kainkwa, R.M.R.

Abstract

This paper examines the wind speed pattern and the available wind power at Basotu, Tanzania. Wind speed data for two different sessions reveals that the windy season, is from June to November, with October being the windiest month. The average monthly wind power from June to November is at least 114 W/m2. The shortfall of hydroelectricity that prevails during the dry season is normally supplemented from fossil fuel generators. It is fortunate that the windy season coincides with the dry season. It is urged that the use of wind turbines to supplement the shortfall of hydroelectricity during the dry season would offset the emission of greenhouse gases from fossil fuel generators that degrade our aerial environment.

Suggested Citation

  • Kainkwa, R.M.R., 2000. "Wind speed pattern and the available wind power at Basotu, Tanzania," Renewable Energy, Elsevier, vol. 21(2), pages 289-295.
  • Handle: RePEc:eee:renene:v:21:y:2000:i:2:p:289-295
    DOI: 10.1016/S0960-1481(00)00076-8
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148100000768
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/S0960-1481(00)00076-8?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. Njau, Ernest C., 1997. "Velocity characteristics of wind patterns in Tanzania," Renewable Energy, Elsevier, vol. 11(1), pages 37-46.
    2. Kainkwa, R.R, 1999. "Wind energy as an alternative source to alleviate the shortage of electricity that prevails during the dry season: a case study of Tanzania," Renewable Energy, Elsevier, vol. 18(2), pages 167-174.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dorvlo, A.S.S & Ampratwum, D.B, 2002. "Wind energy potential for Oman," Renewable Energy, Elsevier, vol. 26(3), pages 333-338.
    2. Wang, Jianzhou & Qin, Shanshan & Jin, Shiqiang & Wu, Jie, 2015. "Estimation methods review and analysis of offshore extreme wind speeds and wind energy resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 26-42.
    3. Himri, Y. & Rehman, S. & Draoui, B. & Himri, S., 2008. "Wind power potential assessment for three locations in Algeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(9), pages 2495-2504, December.
    4. Ko, Kyungnam & Kim, Kyoungbo & Huh, Jongchul, 2010. "Variations of wind speed in time on Jeju Island, Korea," Energy, Elsevier, vol. 35(8), pages 3381-3387.
    5. Cancino-Solórzano, Yoreley & Xiberta-Bernat, Jorge, 2009. "Statistical analysis of wind power in the region of Veracruz (Mexico)," Renewable Energy, Elsevier, vol. 34(6), pages 1628-1634.
    6. Ahmed, Ahmed Shata, 2010. "Wind energy as a potential generation source at Ras Benas, Egypt," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2167-2173, October.
    7. Murthy, K.S.R. & Rahi, O.P., 2017. "A comprehensive review of wind resource assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1320-1342.
    8. Mazzeo, Domenico & Oliveti, Giuseppe & Labonia, Ester, 2018. "Estimation of wind speed probability density function using a mixture of two truncated normal distributions," Renewable Energy, Elsevier, vol. 115(C), pages 1260-1280.
    9. 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.
    10. Weisser, D, 2003. "A wind energy analysis of Grenada: an estimation using the ‘Weibull’ density function," Renewable Energy, Elsevier, vol. 28(11), pages 1803-1812.

    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. Njau, Ernest C., 1997. "A new analytical model for temperature predictions," Renewable Energy, Elsevier, vol. 11(1), pages 61-68.
    2. Trotter, Philipp A. & McManus, Marcelle C. & Maconachie, Roy, 2017. "Electricity planning and implementation in sub-Saharan Africa: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1189-1209.
    3. Cai, Tianxing & Zhao, Chuanyu & Xu, Qiang, 2012. "Energy network dispatch optimization under emergency of local energy shortage," Energy, Elsevier, vol. 42(1), pages 132-145.

    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:21:y:2000:i:2:p:289-295. 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.