Paper
13 May 2024 Three-dimensional computational fluid dynamic model construction using real meteorological and terrain data
Author Affiliations +
Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131594Q (2024) https://doi.org/10.1117/12.3024406
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China
Abstract
The decarbonization of power system resulted significant change on the power transmission requirement. Renewable generation replacing traditional generation has also modified the power system network flow significantly. To meet the power transmission requirement, this article focuses on the potential usage of dynamic thermal rating for overhead lines which can increase the transmission line capacity without building new transmission corridors. Traditional method for DTR evaluation lacks the detailed wind distribution including direction and speed, especially when terrain condition is complicated where micro climate exists locally. This work is to address this challenge by perform detailed computational fluid dynamic simulation taking into consideration of complex terrain data. The terrain information is generated from the ERA5-land data and 3D model is therefore constructed within the CAD tool. Sensitivity analysis is performed to demonstrate the satisfactory result accuracy. Not only the wind speed but also the wind direction is computed, and results are analyzed. It is identified that with the proposed computational model, after terrain data is included, the flow speed in various incoming direction can be estimated, therefore support the further improvement on the DTR decisions.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Dunjin Qi, Fan Yi, Guanglin Bo, Sheng Xia, Yan Xu, Rui Zhang, Keyin Wang, and Qi Li "Three-dimensional computational fluid dynamic model construction using real meteorological and terrain data", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131594Q (13 May 2024); https://doi.org/10.1117/12.3024406
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KEYWORDS
Wind speed

Data modeling

3D modeling

Meteorology

Data acquisition

Land cover

Computational fluid dynamics

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