A Feasibility Study of Simulating the Micro-Scale Wind Field for Wind Energy Applications by NWP/CFD Model with Improved Coupling Method and Data Assimilation

Shaohui Li, Xuejin Sun, Riwei Zhang and Chuanliang Zhang
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Shaohui Li: College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China
Xuejin Sun: College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China
Riwei Zhang: State Key Laboratory of Aerospace Dynamics, Xi’an 710000, China
Chuanliang Zhang: College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China

Energies, 2019, vol. 12, issue 13, 1-19

Abstract: Understanding the details of micro-scale wind fields is important in the development of wind energy. Research has proven that coupling Numerical Weather Prediction (NWP) and Computational Fluid Dynamics (CFD) models is a better approach for micro-scale wind field simulation. The main purpose of this work is to improve the NWP/CFD model performance in two parts: (i) developing a new coupling method that is more suitable for complex terrain between the NWP and CFD models, and (ii) applying a data assimilation system in the CFD model. Regarding part (i), in order to solve the problem of great topographical difference at the domain boundaries between the two models, Cressman interpolation is utilized to impose the NWP model wind on the CFD model boundaries. In part (ii), an assimilation method, nudging, to apply assimilation of observations into the CFD model is explored. Based on the Cressman interpolation coupling method, a preliminary implementation of data assimilation is performed. The results show that the NWP/CFD model with the improved coupling method may capture the details of micro-scale wind fields more accurately. Using data assimilation, the NWP/CFD model performance may be further improved by cooperating observation data.

Keywords: NWP/CFD model; micro-scale; wind energy; Cressman interpolation; data assimilation; nudging (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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