Parameter design and performance analysis of the “thermal-electric-carbon” integrated energy system

WEI Hongqiang; LUO Guiping; ZHANG Shihao; LIU Tianhao; CHENG Xiaobo; CAO Bin

doi:10.19799/j.cnki.2095-4239.2025.0917

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Parameter design and performance analysis of the “thermal-electric-carbon” integrated energy system

Energy Storage System and Engineering | 更新时间：2026-05-28

- Parameter design and performance analysis of the “thermal-electric-carbon” integrated energy system
- Energy Storage Science and Technology Vol. 15, Issue 2, Pages: 503-515(2026)
- 作者机构：
  
  1.华驰动能(北京)科技有限公司，北京 101111
  2.华北理工大学建筑工程学院
  3.华北理工大学冶金工程学院，河北唐山 063210
  4.河钢集团矿业有限公司，河北唐山 063700
  5.中国电子科技集团公司第十一研究所，北京 100015
- 作者简介：
- 基金信息：
- DOI：10.19799/j.cnki.2095-4239.2025.0917
  CLC： TK 02
- Received：15 October 2025，
  
  Revised：2025-11-25，
  
  Published：28 February 2026
- 稿件说明：
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卫宏强, 罗桂平, 张仕豪, 等. 基于"热-电-碳"三储综合能源系统参数设计及性能分析[J]. 储能科学与技术, 2026, 15(2): 503-515.

WEI Hongqiang, LUO Guiping, ZHANG Shihao, et al. Parameter design and performance analysis of the "thermal-electric-carbon" integrated energy system[J]. Energy Storage Science and Technology, 2026, 15(2): 503-515.
卫宏强, 罗桂平, 张仕豪, 等. 基于"热-电-碳"三储综合能源系统参数设计及性能分析[J]. 储能科学与技术, 2026, 15(2): 503-515. DOI： 10.19799/j.cnki.2095-4239.2025.0917.

WEI Hongqiang, LUO Guiping, ZHANG Shihao, et al. Parameter design and performance analysis of the "thermal-electric-carbon" integrated energy system[J]. Energy Storage Science and Technology, 2026, 15(2): 503-515. DOI： 10.19799/j.cnki.2095-4239.2025.0917.

摘要

本工作利用储热、蓄电和储碳装置的各自优势，对耦合碳捕集燃煤热电联产系统进行了参数优化设计，以350 MW燃煤热电联产机组为研究对象，提出了一种基于“热-电-碳”三储综合能源系统的改进麻雀优化算法。基于一天1440 min数据点，分别对碳捕集功率、储能容量以及充放策略进行研究。结果表明，改进后的麻雀优化算法能够满足全域范围的参数协同优化需求，采用储能装置可降低总成本9.44%，煤耗降低3.37%，热电调峰能力提升10%左右。通过“热-电-碳”储能装置的充放优化，得到了三种容量参数的最佳比例，即储碳容量为143 m

，储热容量为146.14 MWh，蓄电容量为62.61 MWh，该参数组合能够有效减少负荷波动，使其维持在最经济负荷区间。此外，分别对动力煤、蓄电池、储热罐以及储碳罐市场价格进行了敏感性分析，结果显示，动力煤价格对系统总成本影响最显著，其次为储碳罐价格波动、储热罐单价波动最后为蓄电池单价波动。本研究有助于推动多储能系统参数协同优化的应用，为综合能源系统参数设计及运行策略的研究提供参考。

Abstract

By leveraging the complementary functions of heat storage

electrical energy storage

and carbon storage devices

this study investigates the parameter optimization of a coupled carbon-capture coal-fired cogeneration system. A 350 MW coal-fired cogeneration unit is selected as the case study

and an improved sparrow optimization algorithm is proposed within the framework of a "heat-electricity-carbon" integrated energy storage system. Using high-resolution operational data comprising 1440 data points per day

the coordinated optimization of carbon-capture power

energy storage capacities

and charging-discharging strategies is systematically analyzed. The results demonstrate that the improved sparrow optimization algorithm effectively satisfies collaborative parameter optimization requirements across the full operating range. The integration of energy storage devices reduces total system cost by 9.44%

decreases coal consumption by 3.37%

and enhances thermal power peak-regulation capacity by approximately 10%. Through optimized charging and discharging of the heat-electricity-carbon storage system

the optimal capacity configuration is determined as 143 m³ for carbon storage

146.14 MW·h for heat storage

and 62.61 MW·h for electrical energy storage. This configuration effectively mitigates load fluctuations and maintains system operation within the most economical load range. Furthermore

sensitivity analyses of thermal coal prices

battery costs

heat storage tank prices

and carbon storage tank prices indicate that thermal coal price exerts the greatest influence on total system cost

followed by carbon storage tank price

heat storage tank price

and battery price. Overall

this study supports the practical application of coordinated parameter optimization for multi-energy storage systems and provides valuable guidance for the design and operational optimization of integrated energy systems.

关键词

Keywords

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