Multi-criteria Approach and Wind Farm Site Selection Analysis for Improving Power Efficiency

Fouad Alhajj Hassan


The use of electrical energy is still increasing around the world and is extending to cover more electrical power-based applications. This will lead to more climate change across the globe in the next decades. Thus, renewable energy must be used in an efficient way to reduce the negative effects of these power generators. The location of the wind farm plays a big role in determining the efficiency of the output power. The aim of this research is to study which turbine configuration suits best for a specific location, taking into consideration all the possible constraints. In order to reach our goal, three different turbine configurations are studied with the least possible uncertainties. The optimal configuration is when the wind shear is minimal at the height of the hub, the wake effect is negligible, and the capacity factor is maximal (the economical part is not included). In this study, the Sorochi Gory (located in Tatarstan, Russia) wind farm site will be explained and analysed. The power exponent and capacity factor will be calculated, and the results will be displayed.


Doi: 10.28991/HEF-2020-01-02-02

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Wind Farm; Wind Shear; Turbines Configuration; Capacity Factor.


Van Haaren, R., & Fthenakis, V. (2011). GIS-based wind farm site selection using spatial multi-criteria analysis (SMCA): Evaluating the case for New York State. Renewable and Sustainable Energy Reviews, 15(7), 3332–3340. doi:10.1016/j.rser.2011.04.010.

Blaabjerg, F., Iov, F., Kerekes, T., & Teodorescu, R. (2010). Trends in power electronics and control of renewable energy systems. Proceedings of 14th International Power Electronics and Motion Control Conference EPE-PEMC 2010. doi:10.1109/epepemc.2010.5606696.

Nasyrov, R. R., Aljendy, R. I., & Kherbek, T. (2018). Study and analysis of power quality situation in electrical power network. Case study: Lattakia-Syria. 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). doi:10.1109/eiconrus.2018.8317193.

Global Solar Atlas. (2020). Global solar atlas for renewable energy, World Bank Group. Available online: https//www. (accessed on February 2020).

ENTSO-E. (2020). European Network of Transmission System Operators for Electricity. Available online: https://www. (accessed on February 2020).

Almohammed, O. A. M., Timerbaev, N. F., & Ahmad, B. I. (2019). Heat Pump Application for Water Distillation. 2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon). doi:10.1109/fareastcon.2019.8934168.

Fırtın, E., Güler, Ö., & Akdağ, S. A. (2011). Investigation of wind shear coefficients and their effect on electrical energy generation. Applied Energy, 88(11), 4097–4105. doi:10.1016/j.apenergy.2011.05.025.

Hassan, F. A., & Sidorov, A. (2019). Study of power system stability: Matlab program processing data from Zahrani power plant (Beirut, Lebanon). E3S Web of Conferences, 124, 05011. doi:10.1051/e3sconf/201912405011.

Ray, M. L., Rogers, A. L., & McGowan, J. G. (2006). Analysis of wind shear models and trends in different terrains. University of Massachusetts, Department of Mechanical and Industrial Engineering, Renewable Energy Research Laboratory.

Wen, B., Wei, S., Wei, K., Yang, W., Peng, Z., & Chu, F. (2017). Power fluctuation and power loss of wind turbines due to wind shear and tower shadow. Frontiers of Mechanical Engineering, 12(3), 321–332. doi:10.1007/s11465-017-0434-1.

Alzakkar, A. M.-N., Valeev, I. M., Mestnikov, N. P., & Nurullin, E. G. (2019). The Artificial Power System Networks Stability Control Using the Technology of Neural Network. E3S Web of Conferences, 124, 05002. doi:10.1051/e3sconf/201912405002.

Jeekel, H. (2012). Adaptation to climate change. Conference of European directors of roads. Project Group on Climate Change. Available online: (accessed on February 2020).

Heisler, G. M. (1990). Mean wind speed below building height in residential neighborhoods with different tree densities. ASHRAE Transactions, 96(1), 1389-1396.

Alibeiki, E., & Khosravi, A. (2019). Modelling and Control of 6MG Siemens Wind Turbine Blades Angle and Rotor Speed. International Journal on Electrical Engineering & Informatics, 11(1), 80-100.

Ali, N., Hamilton, N., DeLucia, D., & Bayoán Cal, R. (2018). Assessing spacing impact on coherent features in a wind turbine array boundary layer. Wind Energy Science, 3(1), 43–56. doi:10.5194/wes-3-43-2018.

Arias-Rosales, A., & Osorio-Gómez, G. (2018). Wind turbine selection method based on the statistical analysis of nominal specifications for estimating the cost of energy. Applied Energy, 228, 980–998. doi:10.1016/j.apenergy.2018.06.103.

Allhibi, H., Chowdhury, H., Zaid, M., Loganathan, B., & Alam, F. (2019). Prospect of wind energy utilization in Saudi Arabia: A review. Energy Procedia, 160, 746–751. doi:10.1016/j.egypro.2019.02.184.

Sanderse, B., Pijl, S. P., & Koren, B. (2011). Review of computational fluid dynamics for wind turbine wake aerodynamics. Wind Energy, 14(7), 799–819. doi:10.1002/we.458.

Global Solar Atlas. (2020). Location of the Soroch'i Gory, Russia. Available online: c=55.416738,49.792099,11&s=55.37911,49.952774&m=site (accessed on January 2020).

Alzakkar, A., Hassan, F. A., & Mestnikov, N. (2020). Support of Frequency Stability in Electrical Power System at Voltage 400 kV in Syria. Advances in Automation II, 891–902. doi:10.1007/978-3-030-71119-1_86.

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DOI: 10.28991/HEF-2020-01-02-02


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