TY - JOUR
T1 - A novel integrated approach for offshore wind power optimization
AU - He, Fenglan
AU - Wagner, Markus
AU - Zhang, Lijun
AU - Shao, Changsheng
AU - Xu, Wenhao
AU - Chen, Weiqiu
AU - Yan, Yun
AU - Li, Ye
N1 - Funding Information:
This work was financially supported by the Ministry of Science and Technology of China (Nos. 2017YFE0132000 ), National Natural Science Foundation of China ( 51709171 and 11872248 ), and Science Foundation of Donghai Laboratory of China ( DH-2022KF0304 ).
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/12/15
Y1 - 2022/12/15
N2 - When an offshore wind farm is designed, the available ocean space limits the overall farm's output. Consequently, over the last few decades, the density of turbines has increased, which in turn intensified the aerodynamic interactions between the turbines. The interaction is a consequence of the farm layout, which is affected by the macro siting and micro siting optimization concerns. However, existing optimization approaches cannot satisfy the complicated offshore condition. To provide a more competitive cost, this paper proposes an advanced optimization approach that combines fluid mechanics methods and mathematical models to analyze the optimal array layout of large offshore wind farms. First, to obtain the maximum power generation, we propose an integrated interference model to describe the aerodynamic interaction between any two adjacent turbines. Second, we study the changing relation of the layout of wind turbines and the power generation of the system. Third, we investigate three different scenarios with aligned and staggered layouts under different wind conditions. We also perform an extensive sensitivity analysis on the influence of the occurrence probabilities of multiple prevailing wind directions on the power efficiency of wind farms. Finally, we suggest some policies to support the market development.
AB - When an offshore wind farm is designed, the available ocean space limits the overall farm's output. Consequently, over the last few decades, the density of turbines has increased, which in turn intensified the aerodynamic interactions between the turbines. The interaction is a consequence of the farm layout, which is affected by the macro siting and micro siting optimization concerns. However, existing optimization approaches cannot satisfy the complicated offshore condition. To provide a more competitive cost, this paper proposes an advanced optimization approach that combines fluid mechanics methods and mathematical models to analyze the optimal array layout of large offshore wind farms. First, to obtain the maximum power generation, we propose an integrated interference model to describe the aerodynamic interaction between any two adjacent turbines. Second, we study the changing relation of the layout of wind turbines and the power generation of the system. Third, we investigate three different scenarios with aligned and staggered layouts under different wind conditions. We also perform an extensive sensitivity analysis on the influence of the occurrence probabilities of multiple prevailing wind directions on the power efficiency of wind farms. Finally, we suggest some policies to support the market development.
KW - Array optimization
KW - Integrated modeling
KW - Multiple prevailing wind directions
KW - Ocean space utilization
KW - Offshore wind energy
UR - https://www.scopus.com/pages/publications/85140063992
U2 - 10.1016/j.oceaneng.2022.112827
DO - 10.1016/j.oceaneng.2022.112827
M3 - Article
AN - SCOPUS:85140063992
SN - 0029-8018
VL - 266
JO - Ocean Engineering
JF - Ocean Engineering
IS - Part 2
M1 - 112827
ER -