面向风光驱动的固体储热砖耦合供热系统动态建模与典型日运行特性分析

张湘晴; 高静; 李磊; 张彪; 韩宇; 刘均庆; 于东

doi:10.19799/j.cnki.2095-4239.2025.1131

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面向风光驱动的固体储热砖耦合供热系统动态建模与典型日运行特性分析

储能系统与工程 | 更新时间：2026-07-13

- 面向风光驱动的固体储热砖耦合供热系统动态建模与典型日运行特性分析
- Dynamic modeling and typical-day operational characteristics of a solid thermal storage-coupled heating system driven by wind and solar power
- 储能科学与技术 2026年15卷第6期页码：2197-2208
- 作者机构：
  
  1.北京低碳清洁能源研究院，北京 102211
  2.国能榆林能源有限责任公司，陕西榆林 719000
- 作者简介：
  
  张湘晴（1996—），女，博士，工程师，研究方向为储热技术，E-mail：20101368@chnenergy.com.cn；
  李磊，工程师，研究方向为储热技术，E-mail：12094809@chnenergy.com.cn。
- 基金信息：
  
  国家能源集团科技创新项目资助(GJNY-23-138)
- DOI：10.19799/j.cnki.2095-4239.2025.1131
  中图分类号： TK 12
- 收稿：2025-12-16，
  
  修回：2026-01-13，
  
  纸质出版：2026-06-28
- 稿件说明：
移动端阅览
张湘晴, 高静, 李磊, 等. 面向风光驱动的固体储热砖耦合供热系统动态建模与典型日运行特性分析[J]. 储能科学与技术, 2026, 15(6): 2197-2208.

ZHANG Xiangqing, GAO Jing, LI Lei, et al. Dynamic modeling and typical-day operational characteristics of a solid thermal storage-coupled heating system driven by wind and solar power[J]. Energy Storage Science and Technology, 2026, 15(6): 2197-2208.
张湘晴, 高静, 李磊, 等. 面向风光驱动的固体储热砖耦合供热系统动态建模与典型日运行特性分析[J]. 储能科学与技术, 2026, 15(6): 2197-2208. DOI： 10.19799/j.cnki.2095-4239.2025.1131.

ZHANG Xiangqing, GAO Jing, LI Lei, et al. Dynamic modeling and typical-day operational characteristics of a solid thermal storage-coupled heating system driven by wind and solar power[J]. Energy Storage Science and Technology, 2026, 15(6): 2197-2208. DOI： 10.19799/j.cnki.2095-4239.2025.1131.

摘要

利用高温固体储热技术实现可再生能源灵活利用，是破解风电、光伏发电波动性与间歇性难题的重要路径之一。本工作采用模块化建模方法，基于Matlab/Simulink平台构建了包含风电、光伏、固体储热砖及氮气-水换热器等部件的风光驱动固体储热供热耦合系统动态仿真模型，以我国西北地区气候特征为背景，选取四季典型日开展全天候动态特性分析，探究储/放热工况切换及热/冷氮混合控制下的系统响应规律。结果表明，在额定工况下系统以12 MW电功率蓄热6 h，热/冷氮混合策略可保障无外电输入时连续24 h稳定热水供应；在四季典型日边界条件下，热氮占比均值由春季0.196逐季升至冬季0.428，其变化与可再生能源平均发电功率递减趋势高度契合，储热砖温随季节阶梯式下移而出口热水参数保持稳定，春季储热能力最强、冬季需依赖高比例热氮维持供热。本研究明确了我国西北地区风光-储热-供热系统的动态耦合规律和季节性优化策略，为高温固体储热技术在新能源系统中的工程化应用与控制优化提供了可参考的仿真方法与设计依据。

Abstract

Flexible renewable energy utilization via high-temperature solid thermal energy storage is a key approach for addressing the volatility and intermittency of wind and photovoltaic power generation. A modular modeling approach was adopted to develop a dynamic simulation model for a wind-solar-driven solid thermal energy storage-coupled heating system that integrates wind turbines

photovoltaic modules

solid thermal energy storage bricks

and a nitrogen-water heat exchanger using the MATLAB/Simulink platform. Based on the climatic characteristics of Northwest China

typical days across four seasons were selected to perform all-day dynamic characteristic analysis

investigating the system response laws under charge/discharge mode switching and hot/cold nitrogen mixing control. The results demonstrate that under rated conditions

the developed system stores heat with an electric power of 12 MW for 6 h; the hot/cold nitrogen mixing strategy ensures a stable hot water supply for 24 consecutive hours without external power input. Under the boundary conditions of typical seasonal days

the average hot nitrogen ratio increases from 0.196 in spring to 0.428 in winter

which strongly aligns with the decreasing trend of average renewable power generation. The temperature of the solid thermal energy storage bricks decreases stepwise with seasons

whereas the outlet hot water parameters remain stable. In other words

the developed system exhibits the strongest heat storage capacity in spring and relies on a high hot nitrogen ratio to maintain heating in winter. This study clarifies the dynamic coupling laws and seasonal optimization strategies of the wind-solar-thermal energy storage/heating system in Northwest China

providing a referable simulation method and design basis for the engineering application and control optimization of high-temperature solid thermal energy storage technology in new energy systems.

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