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The Significance of Wind Turbines Layout Optimization on the Predicted Farm Energy Yield

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Department of Energy Engineering, German Jordanian University, Amman Madaba Street, P.O. Box 35247, Amman 11180, Jordan
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Environmental Process Engineering, Department of Environmental Technology, Technische Universität Berlin, Office KF 2, Strasse des 17. Juni 135, 10623 Berlin, Germany
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Royal Scientific Society (RSS), National Energy Research Centre, PO Box 1438, Amman 11941, Jordan
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Author to whom correspondence should be addressed.
Atmosphere 2020, 11(1), 117; https://doi.org/10.3390/atmos11010117
Received: 31 December 2019 / Revised: 17 January 2020 / Accepted: 17 January 2020 / Published: 20 January 2020
(This article belongs to the Special Issue Climate Modeling for Renewable Energy Resource Assessment)
Securing energy supply and diversifying the energy sources is one of the main goals of energy strategy for most countries. Due to climate change, wind energy is becoming increasingly important as a method of CO2-free energy generation. In this paper, a wind farm with five turbines located in Jerash, a city in northern Jordan, has been designed and analyzed. Optimization of wind farms is an important factor in the design stage to minimize the cost of wind energy to become more competitive and economically attractive. The analyses have been carried out using the WindFarm software to examine the significance of wind turbines’ layouts (M, straight and arch shapes) and spacing on the final energy yield. In this research, arranging the turbines facing the main wind direction with five times rotor diameter distance between each turbine has been simulated, and has resulted in 22.75, 22.87 and 21.997 GWh/year for the M shape, Straight line and Arch shape, respectively. Whereas, reducing the distance between turbines to 2.5 times of the rotor diameter (D) resulted in a reduction of the wind farm energy yield to 22.68, 21.498 and 21.5463 GWh/year for the M shape, Straight line and Arch shape, respectively. The energetic efficiency gain for the optimized wind turbines compared to the modeled layouts regarding the distances between the wind turbines. The energetic efficiency gain has been in the range between 8.9% for 5D (rotor diameter) straight layout to 15.9% for 2.5D straight layout. View Full-Text
Keywords: wind energy; optimization; WindFarm 3D; wake effects; topography effects wind energy; optimization; WindFarm 3D; wake effects; topography effects
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Al-Addous, M.; Jaradat, M.; Albatayneh, A.; Wellmann, J.; Al Hmidan, S. The Significance of Wind Turbines Layout Optimization on the Predicted Farm Energy Yield. Atmosphere 2020, 11, 117.

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