AbstractThe development of new wind farm control strategies can benefit from combined analysis of flow dynamics in the farm and the behavior of individual turbines within one simulation environment. In this work, we present such an environment by developing a new coupling between the large‐eddy simulation (LES) code GRASP and the multiphysics wind turbine simulation tool OpenFAST via an actuator line model (ALM). In addition, the implementation of the recently proposed filtered actuator line model (FALM) within the coupling is described. The new ALM implementation is cross‐verified with results from four other commonly used research LES codes. The results for the blade loads and the near wake obtained with the new coupling are consistent with the other codes. Deviations are observed in the far wake. The results further indicate that the FALM is able to reduce the lift and power overprediction from which the traditional ALM suffers on coarse LES grids. This new simulation environment paves the way for future wind farm simulations under realistic weather conditions by leveraging GRASP's ability to impose data from large‐scale meteorological models as boundary conditions.

More from our Archive

• DOI: 10.3390/en16145240 2023

  Prediction of the Remaining Useful Life of Supercapacitors at Different Temperatures Based on Improved Long Short-Term Memory

  Ning Ma, Huaixian Yin, Kai Wang

• DOI: 10.1039/d3ee01724a 2023

  Engineering an electrostatic field layer for high-rate and dendrite-free Zn metal anodes

  Kaiping Zhu, Can Guo, Wenbin Gong, Qinghua Xiao, Yagang Yao, Kenneth Davey, Qinghong Wang, Jianfeng Mao, Pan Xue, Zaiping Guo

• DOI: 10.1002/aenm.202301193 2023

  Crystal‐Facet Manipulation and Interface Regulation via TMP‐Modulated Solid Polymer Electrolytes toward High‐Performance Zn Metal Batteries

  Bin Qiu, Kaiyuan Liang, Wei Huang, Guoqiang Zhang, Chuanxin He, Peixin Zhang, Hongwei Mi

• DOI: 10.1039/d3ta01766d 2023

  Concurrent alloying and vacancy engineering for intensifying hydrogen spillover towards alcohol–water co-electrolysis

  Hui Xu, Kun Wang, Guangyu He, Haiqun Chen

• DOI: 10.3390/su151310543 2023

  The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management

  Vijendra Kumar, Hazi Md. Azamathulla, Kul Vaibhav Sharma, Darshan J. Mehta, Kiran Tota Maharaj

• DOI: 10.1002/aenm.202301391 2023

  Fundamental Understanding of Structural Reconstruction Behaviors in Oxygen Evolution Reaction Electrocatalysts

  Haoyin Zhong, Qi Zhang, Junchen Yu, Xin Zhang, Chao Wu, Yifan Ma, Hang An, Hao Wang, Jun Zhang, Xiaopeng Wang, Junmin Xue

• DOI: 10.1039/d3ee00084b 2023

  Distinct thermal runaway mechanisms of sulfide-based all-solid-state batteries

  Xinyu Rui, Dongsheng Ren, Xiang Liu, Xiaodan Wang, Kuangyu Wang, Yao Lu, Linwei Li, Pengbo Wang, Gaolong Zhu, Yuqiong Mao, Xuning Feng, Languang Lu, Hewu Wang, Minggao Ouyang

• DOI: 10.3390/su151410821 2023

  Microplastics as an Emerging Threat to the Global Environment and Human Health

  Shampa Ghosh, Jitendra Kumar Sinha, Soumya Ghosh, Kshitij Vashisth, Sungsoo Han, Rakesh Bhaskar

• DOI: 10.1002/aenm.202301530 2023

  Mechanism of Doping with High‐Valence Elements for Developing Ni‐Rich Cathode Materials

  Nam‐Yung Park, Su‐Bin Kim, Myoung‐Chan Kim, Sang‐Mun Han, Dong‐Hwi Kim, Min‐Su Kim, Yang‐Kook Sun

• DOI: 10.1039/d3ee01344h 2023

  Regulating the electronic structure of manganese-based materials to optimize the performance of zinc-ion batteries

  Anqi Zhang, Ran Zhao, Yahui Wang, JingJing Yang, Chuan Wu, Ying Bai