Estimation of Electric Power Generation in Libya Using Processing Technology of Wind Energy (Sirte Case study)

Authors

  • Mohamed M. Ali Civil Engineering Department, Faculty of Engineering, Sirte University, Libya
  • Moftah A. Abusta

DOI:

https://doi.org/10.37375/ijer.v1i1.967

Keywords:

Sirte, mean wind speed, wind data analysis, wind statistics, Profitability, Measurement

Abstract

Based on information regarding every aspect of the project's execution and operation, the estimation of wind characteristics is thought of as the first crucial stage in evaluating a wind energy project. Therefore, in order to choose the appropriate wind turbine for a given zone and to precisely predict its performance, extensive understanding of the wind is required.

The mean wind speed, directional information, fluctuations in the mean in the short term, daily, monthly, and annual variations, and variations with height are only a few of the elements that need to be known about the wind. These parameters are incredibly site-specific, and their accuracy can only be ascertained by measurements taken at a single place over an adequate amount of time. The study of wind energy and wind evaluation at a few chosen locations (Sirte City and Qaser AbuHadi) is presented in this paper, together with background information on wind power and its resource and an analysis of the available data from the representative meteorological station Sirte.

The wind data has been adjusted for each location to reflect the real wind speed at hub height. For each site, calculations are made to determine the mean wind speed, Weibull distribution, annual energy, and annual capacity factor.

 

References

Ahwide F, .Spena A and El-Kafrawy A, Estimation of Electricity Generation in Libya Using Processing Technology of Wind Available Data: The Case study in Derna, ICESD 2013: 19-20 January 2013, Dubai, UAE: pp451-467.

Ahmed, S.D., et al., Grid integration challenges of wind energy: A review. 2020. 8: p. 10857-10878.

Oh, K.-Y., et al., A review of foundations of offshore wind energy convertors: Current status and future perspectives. 2018. 88: p. 16-36.

Ackermann, T. and Söder, L., 2002. An overview of wind energy-status 2002. Renewable and sustainable energy reviews, 6(1-2), pp.67-127.

Garcia, A., Torres, J.L., Prieto, E. and De Francisco, A., 1998. Fitting wind speed distributions: a case study. Solar energy, 62(2), pp.139-144.

Mathew, S., 2006. Wind energy: fundamentals, resource analysis and economics (Vol. 1). Berlin: Springer.

Rehman, S., El-Amin, I.M., Ahmad, F., Shaahid, S.M., Al-Shehri, A.M. and Bakhashwain, J.M., 2007. Wind power resource assessment for Rafha, Saudi Arabia. Renewable and Sustainable Energy Reviews, 11(5), pp.937-950.

Amaris, H., Alonso, M. and Ortega, C.A., 2012. Reactive power management of power networks with wind generation(Vol. 5). Springer Science & Business Media.

Sathyajith, M. and Philip, G.S. eds., 2011. Advances in wind energy conversion technology. Springer Science & Business Media.

Rehman, S., El-Amin, M., Ahmad, F., Shaahid, M., Al-Shehri, M. and Bakhashwain, M., 2007. Wind power resource assessment for Rafha, Saudi Arabia. Renewable and Sustainable Energy Reviews, 11(5), pp.937-950.

Heier, S., 2014. Grid integration of wind energy: onshore and offshore conversion systems. John Wiley & Sons.

Elmabrouk, A.M., 2009. Estimation of wind energy and wind in some areas (Second Zone) in Libya. Renewable Energies.

Wu, B., Lang, Y., Zargari, N. and Kouro, S., 2011. Power conversion and control of wind energy systems (Vol. 76). John Wiley & Sons.

Jamil, M., Parsa, S. and Majidi, M., 1995. Wind power statistics and an evaluation of wind energy density. Renewable energy, 6(5-6), pp.623-628.

Kaiser, M.J. and Snyder, B., 2012. Offshore wind energy cost modeling: installation and decommissioning (Vol. 85). Springer Science & Business Media.

Patel, M.R., 2009. Wind and solar power systems. Rehman, S., 2004. Wind energy resources assessment for Yanbo, Saudi Arabia. Energy Conversion and Management, 45(13-14), pp.2019-2032.

Zayed, M.E., et al., A comprehensive review on Dish/Stirling concentrated solar power systems: Design, optical and geometrical analyses, thermal performance assessment, and applications. 2021. 283: p. 124664.

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Published

2023-02-10

How to Cite

M. Ali, M., & A. Abusta, M. (2023). Estimation of Electric Power Generation in Libya Using Processing Technology of Wind Energy (Sirte Case study). International Journal of Engineering Research, 1(1), 103–113. https://doi.org/10.37375/ijer.v1i1.967

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Articles