Economic analysis and optimization for concentrated solar power-supercritical carbon dioxide Brayton cycle system

DENG Chenggang; LI Weike; LIANG Zhanpeng; CHEN Jiansheng; LIANG Yingzong; LUO Xianglong

doi:10.19666/j.rlfd.202010256

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Economic analysis and optimization for concentrated solar power-supercritical carbon dioxide Brayton cycle system

更新时间：2025-09-28

- Economic analysis and optimization for concentrated solar power-supercritical carbon dioxide Brayton cycle system
- Thermal Power Generation Vol. 50, Issue 5, Pages: 59-66(2021)
- 作者机构：
  
  1. 中国能源建设集团广东省电力设计研究院有限公司
  2. 广东工业大学材料与能源学院
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202010256
  CLC： TM615
- Published Online：31 December 2021，
  
  Published：2021
- 稿件说明：
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DENG Chenggang, LI Weike, LIANG Zhanpeng, et al. Economic analysis and optimization for concentrated solar power-supercritical carbon dioxide Brayton cycle system[J]. Thermal power generation, 2021, 50(5): 59-66.
DOI：

DENG Chenggang, LI Weike, LIANG Zhanpeng, et al. Economic analysis and optimization for concentrated solar power-supercritical carbon dioxide Brayton cycle system[J]. Thermal power generation, 2021, 50(5): 59-66. DOI： 10.19666/j.rlfd.202010256.

摘要

在太阳能光热发电(CSP)系统中

采用超临界二氧化碳(S-CO_2)布雷顿循环相较于传统蒸汽朗肯循环可获得更高的发电效率。本文建立了塔式CSP-S-CO_2布雷顿循环集成电站系统的数学模型

以最小化电站平准化度电成本(LCOE)为目标

采用联立方程法对集成系统进行了参数优化

并对循环的关键参数进行了敏感性分析。将模型应用于50 MW级塔式CSP-S-CO_2布雷顿循环电站的优化设计

结果表明:当蓄热时长为8 h、透平入口温度520.85℃、透平和压缩机入口压力分别为25 MPa和8.63 MPa时

可将系统LCOE降低至0.817元/(kW·h)

较塔式CSP-蒸汽朗肯循环(0.994元/(kW·h))降低17.81%;蓄热时长越长

系统LCOE越小;存在最优的透平入口温度、分流比和压比

使系统LCOE最小;提升透平与压缩机的等熵效率可显著降低系统LCOE。

Abstract

Compared with the conventional steam Rankine cycle

the supercritical carbon dioxide(S-CO_2) Brayton cycle can achieve higher power generation efficiency when used in concentrated solar power(CSP) system. This paper formulates a mathematical model for the CSP-S-CO_2 Brayton cycle system. The objective is to minimize levelized cost of electricity(LCOE) of the CSP-S-CO_2 Brayton cycle system by optimizing the parameters of the integrated system by equation-based method. Sensitivity analysis is carried out to investigate the impact of key parameters of the cycle. Moreover

the model is applied to optimization design of a 50 MW-level CSP-S-CO_2 power station

and the results show that

the CSP-S-CO_2 power plant achieves a minimum LCOE of 0.817 yuan/(kW·h) with the heat storage capacity of 8 h

turbine inlet temperature of 520.85 ℃

turbine inlet pressure of 25 MPa and compressor inlet pressure of 8.63 MPa. The LCOE is 17.81% lower than that of the conventional CSP-steam Rankine cycle power plant(0.994 yuan/(kW·h)). Furthermore

case studies show that

a larger thermal storage capacity results in a lower LCOE. On the other hand

the system achieves the minimum LCOE with a moderate turbine inlet temperature

split ratio and pressure ratio. Finally

improving the isentropic efficiency of the turbine and compressor can reduce the LCOE of the system significantly.

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