The Simulator of China General Nuclear Power Group (CGNPC) Delingha 50 MW Parabolic Trough Solar Thermal Power Plant
DOI:
https://doi.org/10.52825/solarpaces.v2i.772Keywords:
Concentrating Solar Power (CSP), Parabolic Trough Solar Power Plant, Simulation Model, Dynamic CharacteristicAbstract
CGN Delingha 50MW parabolic trough solar power plant is China's first commercial trough solar power station. There are 190 heat collecting loops in the solar field of the power plant. Due to the mutual coupling of heat collecting loops layout location, environmental conditions, medium flow, working medium physical property changes and other factors, the hydrodynamic characteristics of the solar field are complex. In practical operation, balancing the flow of the heat absorbing medium in each loop of the large-scale trough solar thermal power plant and stabilizing the outlet medium temperature are difficult problems. Taking CGN Delingha 50MW parabolic trough solar power plant as the research object, this paper adopts the idea of modular modeling to establish the mathematical model of the main equipment in different systems of the power plant, to build the dynamic model of its solar field, steam generation system, heat storage system and steam turbine system. Based on the parallel computing function of the real-time dynamic simulation platform STAR-90, the real-time coupling calculation between different systems is realized. The error of the built model in steady-state is less than 2%, and the dynamic results of the model are in good agreement with the actual operation data. The modeling method in this paper is universal and can be a reference for dynamic modeling of other large-scale trough solar thermal power plants.
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Copyright (c) 2024 Lengge Si, Ershu Xu, Hongjuan Hou
This work is licensed under a Creative Commons Attribution 4.0 International License.
Accepted 2024-09-06
Published 2024-10-15
Funding data
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National Natural Science Foundation of China
Grant numbers 51976058;52076078;51821004 -
National Key Research and Development Program of China
Grant numbers 2021YFE0194500
