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Renewable energies have the potential to provide relatively clean energy, mostly for domestic energy. Wind power generation is expected to rise in the near future and has grown exponentially over the past decade in many countries. The most important parameter that must be taken into consideration when designing and studying wind power conversion systems is the wind speed. Probability density functions (PDF) such as Weibull is often used in wind speed and wind power analyses. This research presents an assessment of wind power based on the Weibull distribution statistics in the coastal of southern Iraq at Basrah province. Wind speed data for the study site were obtained from NASA at a height of 50 m for the period 1979–2016 with a time interval of 10 min. The data at a height of 50 m were extrapolated using the power law in order to estimate the wind speed at new heights: 30, 70 and 100 m. The different parameters of the Weibull function as well as the daily and monthly wind speeds, mean, variance and potential energy at four altitudes were estimated and analysed using Windographer software. Results indicate that the maximum wind speed at 100 m is 6.4 m·s–1, giving an average power density of 298 W·m–2, which indicates that the location of the study has marginal and useless potential for installing large wind turbines.
Słowa kluczowe
Rocznik
Tom
Strony
37--53
Opis fizyczny
Bibliogr. 13 poz., mapy, rys., tab., wykr.
Twórcy
autor
- College of Energy and Environmental Sciences, Al-Kharkh University of Science, Iraq
autor
- Mustansiriyah University, College of Sciences, Department of Atmospheric Sciences, Palestine Street, Baghdad, Ira
autor
- Ministry of Science and Technology Remote Sensing Cente
Bibliografia
- Abaas, S.A. (2015). Comparison of fi ve numerical methods for estimating Weibull parameters of wind energy applications in Iraq (doctoral thesis). Baghdad: Almustansiriyah University.
- Ali, K.R. (2014). Predicting best wind farms site in southern region of Iraq using WAsP Model (MSc thesis). Baghdad: University of Baghdad.
- Amani, I.A. (2007). Estimating wind energy in Iraq (doctoral thesis). Baghdad: Almustansiriyah University.
- Elmokadem, A.A., Megahed, N.A. & Noaman, D.S. (2016). Systematic framework for the effi cient integration of wind technologies into buildings. Frontiers of Architectural Research, 5(1), 1-14.
- Firas, A.H. (2014). Construction of mathematicalstatistical model of wind energy in Iraq using different Weibull distribution functions (doctoral thesis). Baghdad: Al-Nahrain University.
- Firas, A.H., Oudah, S.S. & Al-Baldawi, R.A. (2018). Pre-feasibility study of hypothetical wind energy project using simulated and measured data. In 2018 2nd International Conference for Engineering, Technology and Sciences of Al-Kitab (ICETS): Karkuk 4–6 December 2018 (pp. 60-65). Karkuk: IEEE. https://www.doi.org/10.1109/ICETS.2018.8724618
- International Renewable Energy Agency [IRENA] (2015). Global atlas for Renewable Energy Agency. Renewable Energy Target Setting, Abu Dhabi, UAE. IRENA.
- Kamal, H.L., Ali, K.R. & Amani, I.A. (2018). Evaluation effi ciency of wind turbines for Barjisiah (South of Iraq) wind plant. Iraqi Journal of Science, 59(2A), 813-818.
- Kazem, H.A. & Chaichan, M.T. (2012). Status and future prospects of renewable energy in Iraq. Renewable and Sustainable Energy Reviews, 16(8), 6007-6012.
- 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, 35(1), 188-201.
- Risø DTU National Laboratory for Sustainable Energy (2014). Wind turbines – design requirements. Roskilde: Risø National Laboratory.
- Taghreed, A.A., Monim, H.K. & Amani, I.A. (2019). Spectral and statistical analysis of wind spectrum for Ali Al-Gharbi area in Iraq. Iraqi Journal of Science, 60(7), 1649-1657.
- World Wind Energy Association [WWEA] (2010). World Wind Energy Report 2009. Bonn: WWEA.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f62d716f-4320-40c3-855f-41c1d034ebbe