A heterogeneous accelerated simulation framework for wind field dynamic model. Issue 1 (10th May 2022)

• Record Type: Journal Article
• Authors: Li, Bing; Zhao, Haoran; Zhang, Kunpeng
• Is Part Of: IET renewable power generation. Volume 17:Issue 1(2023)
• Page Start: 137
• Page End: 149
• Publication Date: 2022-05-10
• Subjects: Renewable energy sources -- Periodicals; 333.79405
• DOI: 10.1049/rpg2.12489
• Languages: English
• ISSNs: 1752-1416

Abstract

Abstract: This paper proposes an efficient and extensible simulation framework for mid‐fidelity wind field model based on heterogeneous architecture. The wind field model consists of 3‐D wind inflow, wake dynamics, and wind turbine models. The CPU‐GPU heterogeneous platform accelerates the 3‐D wind inflow model simulation by performing large‐scale parallel computing based on GPU. The CPU is utilized to dispatch the simulation and perform serial computing. Compared with the conventional simulation tool, the simulation speed of the 3‐D wind inflow model is highly improved, which fulfils the requirement of the real‐time wind field simulation. The hardware architecture of the framework is designed to be highly extensible by multiple computing nodes for 3‐D wind inflow, wake dynamic, and wind turbine model. The extendability enables the ability for large‐scale wind field simulation with high efficiency. A 5 km $\rm km$ × 2 km $\rm km$ × 0.35 km $\rm km$ wind field consisting of three wind turbines is used as the case. The case study was conducted and analyzed, proving that the framework can capture the detailed wake dynamic, wind turbine dynamic, and wind inflow dynamic. Meanwhile, the calculation speed of disturbed wind speed increased by 264 times.