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

被引:20
作者
Al-Addous, Mohammad [1 ]
Jaradat, Mustafa [1 ]
Albatayneh, Aiman [1 ]
Wellmann, Johannes [2 ]
Al Hmidan, Sahil [3 ]
机构
[1] German Jordanian Univ, Dept Energy Engn, Amman Madaba St,POB 35247, Amman 11180, Jordan
[2] Tech Univ Berlin, Dept Environm Technol, Environm Proc Engn, Off KF 2,Str 17 Juni 135, D-10623 Berlin, Germany
[3] RSS, Natl Energy Res Ctr, POB 1438, Amman 11941, Jordan
关键词
wind energy; optimization; WindFarm; 3D; wake effects; topography effects; PLACEMENT; ALGORITHM; SPEED;
D O I
10.3390/atmos11010117
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
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页数:14
相关论文
共 27 条
[1]   Key aspects and feasibility assessment of a proposed wind farm in Jordan [J].
Al-Addous, Mohammad ;
Saidan, Motasem ;
Bdour, Mathhar ;
Dalala, Zakariya ;
Albatayneh, Aiman ;
Class, Christina B. .
INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES, 2020, 15 (01) :97-105
[2]  
[Anonymous], 2005, 6140012005 IEC
[3]  
[Anonymous], 2018, WINDFARM VERS 4 COMP
[4]   A Study of Wind Turbine Wakes in Complex Terrain Through RANS Simulation and SCADA Data [J].
Astolfi, Davide ;
Castellani, Francesco ;
Terzi, Ludovico .
JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME, 2018, 140 (03)
[5]   A new wake model and comparison of eight algorithms for layout optimization of wind farms in complex terrain [J].
Brogna, Roberto ;
Feng, Ju ;
Sorensen, Jens Norkaer ;
Shen, Wen Zhong ;
Porte-Agel, Fernando .
APPLIED ENERGY, 2020, 259
[6]   A review of wind speed probability distributions used in wind energy analysis Case studies in the Canary Islands [J].
Carta, J. A. ;
Ramirez, P. ;
Velazquez, S. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2009, 13 (05) :933-955
[7]   Wind turbine layout optimization with multiple hub height wind turbines using greedy algorithm [J].
Chen, K. ;
Song, M. X. ;
Zhang, X. ;
Wang, S. F. .
RENEWABLE ENERGY, 2016, 96 :676-686
[8]   Double-stage genetic algorithm for wind farm layout optimization on complex terrains [J].
Dobric, Goran ;
Durisic, Zeljko .
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2014, 6 (03)
[9]   Modelling Wind for Wind Farm Layout Optimization Using Joint Distribution of Wind Speed and Wind Direction [J].
Feng, Ju ;
Shen, Wen Zhong .
ENERGIES, 2015, 8 (04) :3075-3092
[10]   Maximization of the annual energy production of wind power plants by optimization of layout and yaw-based wake control [J].
Gebraad, Pieter ;
Thomas, Jared J. ;
Ning, Andrew ;
Fleming, Paul ;
Dykes, Katherine .
WIND ENERGY, 2017, 20 (01) :97-107