Analysis of Wind Resource Characteristics in the Ulanqab Wind Power Base (Wind Farm): Mesoscale Modeling Approach

Dong Xu, Feifei Xue (), Yuqi Wu, Yangzhou Li, Wei Liu, Chang Xu and Jing Sun
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Dong Xu: Northwest Engineering Corporation Limited, Xi’an 710065, China
Feifei Xue: College of Renewable Energy, Hohai University, Changzhou 213200, China
Yuqi Wu: Eastern Construction Management Department of Construction Management Branch, China Three Gorges Renewables (Group) Co, Ltd., Nanjing 211100, China
Yangzhou Li: College of Renewable Energy, Hohai University, Changzhou 213200, China
Wei Liu: Northwest Engineering Corporation Limited, Xi’an 710065, China
Chang Xu: College of Renewable Energy, Hohai University, Changzhou 213200, China
Jing Sun: Northwest Engineering Corporation Limited, Xi’an 710065, China

Energies, 2024, vol. 17, issue 14, 1-18

Abstract: With the rapid development and construction of large-scale wind power bases under the “Carbon Peaking and Carbon Neutrality Goals” target, traditional wind energy resource assessment methods typically rely on a limited amount of wind mast data, providing only limited wind resource analysis results. These methods are incapable of capturing the spatiotemporal distribution of wind energy resources throughout the entire base, thus failing to meet the construction requirements of wind power bases. In this study, the mesoscale WRF (The Weather Research and Forecasting Model) was employed for wind resource simulation in a large wind power base. Based on the terrain, meteorological observation data, and boundary conditions, high-resolution wind field simulation results were generated, providing more comprehensive spatiotemporal distribution information within the Ulanqab region’s wind power base. Through the analysis and comparison of measured data and simulation results at different horizontal resolutions, the model was evaluated. Taking the Ulanqab wind power base as an example, the WRF model was used to study the distribution patterns of key parameters, such as annual average wind speed, turbulence intensity, annual average wind power density, and wind direction. The results indicate that a 4 km horizontal resolution can simultaneously ensure the accuracy of wind speed and wind direction simulations, demonstrating good engineering applicability. The analysis of wind resource characteristics in the Ulanqab wind power base based on the mesoscale model provides reliable reference value and data support for its macro- and micro-siting.

Keywords: mesoscale; WRF model; wind energy resource; wind power base; grid independence analysis; wind resource characteristics (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: 2024
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