Simulation research on thermodynamic performance of supercritical carbon dioxide 600 MW coal-fired power system

WANG Weishu; HUANG Zhihao; ZHAO Shifei; CHEN Chang; YAO Zikun

doi:10.19666/j.rlfd.202006159

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Simulation research on thermodynamic performance of supercritical carbon dioxide 600 MW coal-fired power system

更新时间：2025-09-28

- Simulation research on thermodynamic performance of supercritical carbon dioxide 600 MW coal-fired power system
- Thermal Power Generation Vol. 49, Issue 10, Pages: 101-106(2020)
- 作者机构：
  
  华北水利水电大学热能工程研究中心
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202006159
  CLC： TK122
- Published Online：15 September 2020，
  
  Published：2020
- 稿件说明：
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WANG Weishu, HUANG Zhihao, ZHAO Shifei, et al. Simulation research on thermodynamic performance of supercritical carbon dioxide 600 MW coal-fired power system[J]. Thermal power generation, 2020, 49(10): 101-106.
DOI：

WANG Weishu, HUANG Zhihao, ZHAO Shifei, et al. Simulation research on thermodynamic performance of supercritical carbon dioxide 600 MW coal-fired power system[J]. Thermal power generation, 2020, 49(10): 101-106. DOI： 10.19666/j.rlfd.202006159.

摘要

本文采用Ebsilon软件对超临界二氧化碳布雷顿循环600 MW燃煤发电系统进行仿真研究

分析该系统主压缩机入口/出口压力、再热透平入口压力、压缩分流系数以及主/再热气温对其热力学性能的影响。研究结果表明:系统发电功率和循环效率随主/再热气温的提升而升高;主压缩机入口和出口压力存在最佳值;系统循环效率受压缩分流系数的影响较大

压缩机的总耗功量随压缩分流系数的升高而增大

导致系统发电功率降低;再热透平入口压力对系统循环效率影响较小。通过遗传算法对发电系统多参数进行优化可得

当主压缩机入口及出口压力分别为7.94、30.94 MPa

再热透平入口压力和压缩分流系数分别为17.88 MPa和0.30时

系统循环效率最高可达48.89%。

Abstract

By using the Ebsilon software

simulation research on 600 MW supercritical carbon dioxide(S-CO_2) Brayton cycle coal-fired power generation system is carried out. The effects of inlet/outlet pressure of main compressor

inlet pressure of reheat turbine

compression shunt coefficient and main/reheat steam temperature on thermodynamic performance of the system are analyzed. The results show that

the generation power and cycle efficiency of the system increase with the main and reheat steam temperature. There exists an optical value for the inlet and outlet pressure of the main compressor. The cycle efficiency of the system is greatly affected by the compression shunt coefficient

and the total power consumption of the compressor increases with the compression shunt coefficient

which results in a decrease in the power generation of the system. The influence of reheat turbine inlet pressure on the system cycle efficiency is little. Genetic algorithm is employed to optimize multiple parameters of the power generation system

and the results show that

when the inlet and outlet pressures of the main compressor are 7.94 MPa and 30.94 MPa

and the inlet pressure of the reheat turbine and compression splitting coefficient are 17.88 MPa and 0.30 respectively

the maximum cycle efficiency of the system can reach up to 48.89%.

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