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Assessment of wind-generation potentiality in Jordan using the site effectiveness approach

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  • Ammari, H.D.
  • Al-Maaitah, A.

Abstract

Wind data gathered over 3–10 years is used for a feasibility analysis of optimum future utilization of wind-generator potentiality in 22 sites covering all landscape types and regions in Jordan. The yearly mean wind speed and the yearly average available wind energy flux were computed for each site. Yearly mean wind speeds at a height of 24 m could reach as high as 7.6 m/s and available wind energy flux close to 3 MWh/m2/year could be attained. Detailed technical assessment for the nine most promising potential wind sites was made using the site effectiveness approach. The maximum site effectiveness and its corresponding cut-in speed were indicated, both of which depended on the site. The investigation was performed assuming three models of small and medium size wind machines representing different ranges of characteristic speeds and rated power suitable for water pumping and electric supply. The results show that small and medium wind turbines could be installed in the highlands and desert regions and utilized for water supply and electrical power generation, provided the correct wind machine-site is selected.

Suggested Citation

  • Ammari, H.D. & Al-Maaitah, A., 2003. "Assessment of wind-generation potentiality in Jordan using the site effectiveness approach," Energy, Elsevier, vol. 28(15), pages 1579-1592.
    • Handle: RePEc:eee:energy:v:28:y:2003:i:15:p:1579-1592
    DOI: 10.1016/S0360-5442(03)00152-X
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    References listed on IDEAS

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    1. Lun, Isaac Y.F & Lam, Joseph C, 2000. "A study of Weibull parameters using long-term wind observations," Renewable Energy, Elsevier, vol. 20(2), pages 145-153.
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    1. Rehman, Shafiqur & Ahmad, Aftab & Al-Hadhrami, Luai M., 2011. "Development and economic assessment of a grid connected 20Â MW installed capacity wind farm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 833-838, January.
    2. Mohandes, M. & Rehman, S. & Rahman, S.M., 2011. "Estimation of wind speed profile using adaptive neuro-fuzzy inference system (ANFIS)," Applied Energy, Elsevier, vol. 88(11), pages 4024-4032.
    3. 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.
    4. 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.
    5. Bavanish, B. & Thyagarajan, K., 2013. "Optimization of power coefficient on a horizontal axis wind turbine using bem theory," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 169-182.
    6. Solomon, A.A. & Faiman, D. & Meron, G., 2010. "Grid matching of large-scale wind energy conversion systems, alone and in tandem with large-scale photovoltaic systems: An Israeli case study," Energy Policy, Elsevier, vol. 38(11), pages 7070-7081, November.
    7. Anagreh, Yaser & Bataineh, Ahmad & Al-Odat, Muhammad, 2010. "Assessment of renewable energy potential, at Aqaba in Jordan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(4), pages 1347-1351, May.
    8. Lepore, Antonio & Palumbo, Biagio & Pievatolo, Antonio, 2020. "A Bayesian approach for site-specific wind rose prediction," Renewable Energy, Elsevier, vol. 150(C), pages 691-702.
    9. Hernández-Escobedo, Q. & Manzano-Agugliaro, F. & Zapata-Sierra, A., 2010. "The wind power of Mexico," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 2830-2840, December.

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