Dynamic modeling and typical-day operational characteristics of a solid thermal storage-coupled heating system driven by wind and solar power

ZHANG Xiangqing; GAO Jing; LI Lei; ZHANG Biao; HAN Yu; LIU Junqing; YU Dong

doi:10.19799/j.cnki.2095-4239.2025.1131

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Dynamic modeling and typical-day operational characteristics of a solid thermal storage-coupled heating system driven by wind and solar power

Energy Storage System and Engineering | 更新时间：2026-07-13

- Dynamic modeling and typical-day operational characteristics of a solid thermal storage-coupled heating system driven by wind and solar power
- Energy Storage Science and Technology Vol. 15, Issue 6, Pages: 2197-2208(2026)
- 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：
- 基金信息：
- DOI：10.19799/j.cnki.2095-4239.2025.1131
  CLC： TK 12
- Received：16 December 2025，
  
  Revised：2026-01-13，
  
  Published：28 June 2026
- 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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references

国家发展改革委, 国家能源局, 财政部,等. 关于印发"十四五"可再生能源发展规划的通知(发改能源〔2021〕1445号)[EB/OL]. [2021-10-21]. https://zfxxgk.nea.gov.cn/2021-10/21/c_1310611148.htm.

丁明, 刘新宇, 解蛟龙, 等. 面向提高风电接纳能力的多区域热–电联合调度模型[J]. 中国电机工程学报, 2017, 37(14): 4079-4088.

DING M, LIU X Y, XIE J L, et al. Research on heat and electricity coordinated dispatch model of multi-area for improving wind power accommodation ability[J]. Proceedings of the CSEE, 2017, 37(14): 4079-4088.

国家发展改革委, 国家能源局. 关于印发«"十四五"现代能源体系规划»的通知(发改能源〔2022〕210号)[EB/OL]. [2022-01-29]. https://www.gov.cn/zhengce/zhengceku/2022-03/23/content_5680759.htm.

任景, 高敏, 程松, 等. 面向新能源不确定性的西北电力电量平衡机制[J]. 中国电力, 2023, 56(9): 66-78.

REN J, GAO M, CHENG S, et al. A balance method for power supply-demand adapting to high uncertainties of renewable energy in northwest power grid[J]. Electric Power, 2023, 56(9): 66-78.

HUANG X Y, LI M Z, LI Y J, et al. Current progress in energy utilization of building systems combining solar thermal and heat storage technologies[J]. Renewable and Sustainable Energy Reviews, 2026, 226: 116330. DOI:10.1016/j.rser.2025.116330.

LIANG Y R, LI P, XING L L, et al. Current status of thermodynamic electricity storage: Principle, structure, storage device and demonstration[J]. Journal of Energy Storage, 2024, 80: 110347. DOI:10.1016/j.est.2023.110347.

PANTALEO A M, TREVISAN S, MATTEUCCI F, et al. Innovation trends on high-temperature thermal energy storage to defossilize energy systems[J]. Journal of Energy Storage, 2024, 103: 114261. DOI:10.1016/j.est.2024.114261.

廖晋. 固体电蓄热装置的传热特性研究[D]. 哈尔滨: 哈尔滨工业大学, 2014.LIAO J. Research on heat transfer characteristics of solid electric heat storage device[D]. Harbin: Harbin Institute of Technology, 2014.

黄新晨, 秦勤, 于庆波. 固体电蓄热装置结构优化及蓄放热特性的模拟[J]. 材料与冶金学报, 2021, 20(4): 290-296. DOI:10.14186/j.cnki.1671-6620.2021.04.009.

HUANG X C, QIN Q, YU Q B. Simulation on structure optimization and heat storage and release characteristics of solid electric heat storage device[J]. Journal of Materials and Metallurgy, 2021, 20(4): 290-296. DOI:10.14186/j.cnki.1671-6620.2021.04.009.

陈梦东, 章康, 马美秀, 等. 基于Workbench的固体电蓄热装置换热通道参数优化[J]. 热能动力工程, 2023, 38(10): 64-71, 94. DOI:10.16146/j.cnki.rndlgc.2023.10.008.

CHEN M D, ZHANG K, MA M X, et al. Optimization of heat exchange channel parameters of solid electric heat storage device based on workbench[J]. Journal of Engineering for Thermal Energy and Power, 2023, 38(10): 64-71, 94. DOI:10.16146/j.cnki.rndlgc.2023.10.008.

邢作霞, 樊金鹏, 陈雷, 等. 固态电制热储热传热匹配特性及热控制方法[J]. 电工技术学报, 2020, 35(11): 2439-2447. DOI:10.19595/j.cnki.1000-6753.tces.190442.

XING Z X, FAN J P, CHEN L, et al. Heat transfer matching characteristic and heat control method of solid-state electric heating thermal storage system[J]. Transactions of China Electrotechnical Society, 2020, 35(11): 2439-2447. DOI:10.19595/j.cnki.1000-6753.tces.190442.

邢作霞, 赵海川, 马士平, 等. 电制热固体储热装置关键参数设计研究和经济性评估[J]. 储能科学与技术, 2019, 8(6): 1211-1216. DOI:10.12028/j.issn.2095-4239.2019.0070.

XING Z X, ZHAO H C, MA S P, et al. Study on key parameters design and economic evaluation of the electric heating and solid sensible heat thermal storage device[J]. Energy Storage Science and Technology, 2019, 8(6): 1211-1216. DOI:10.12028/j.issn.2095-4239.2019.0070.

赵頔, 王启民. 基于ANSYS分析的蓄热砖蓄热特性数值模拟及实验研究[J]. 沈阳工程学院学报(自然科学版), 2020, 16(2): 34-38. DOI:10.13888/j.cnki.jsie(ns).2020.02.008.

ZHAO D, WANG Q M. Numerical simulation and experimental study on thermal storage characteristics of thermal storage brick based on ANSYS analysis[J]. Journal of Shenyang Institute of Engineering (Natural Science), 2020, 16(2): 34-38. DOI:10.13888/j.cnki.jsie(ns).2020.02.008.

TREVISAN S, JEMMAL Y, GUEDEZ R, et al. Packed bed thermal energy storage: A novel design methodology including quasi-dynamic boundary conditions and techno-economic optimization[J]. Journal of Energy Storage, 2021, 36: 102441. DOI:10.1016/j.est.2021.102441.

陈久林, 薛晓迪, 王丽, 等. 基于中高温烟气余热回收的固体显热储热装置热性能实验研究[J]. 储能科学与技术, 2025, 14(8): 3185-3193.

CHEN J L, XUE X D, WANG L, et al. Experimental investigation of thermal performance in a solid sensible heat storage device for medium-high-temperature flue gas waste heat recovery[J]. Energy Storage Science and Technology, 2025, 14(8): 3185-3193.

EGGERS J R, VON DER HEYDE M, THAELE S H, et al. Design and performance of a long duration electric thermal energy storage demonstration plant at megawatt-scale[J]. Journal of Energy Storage, 2022, 55: 105780. DOI:10.1016/j.est.2022.105780.

ALLEN K G, VON BACKSTRÖM T W, KRÖGER D G, et al. Rock bed storage for solar thermal power plants: Rock characteristics, suitability, and availability[J]. Solar Energy Materials and Solar Cells, 2014, 126: 170-183. DOI:10.1016/j.solmat.2014.03.030.

段春婷, 郭亮东, 魏巍, 等. 电镀铜法增强导热炭材料力学性能的研究[J]. 炭素技术, 2023, 42(4): 54-57. DOI:10.14078/j.cnki.1001-3741.2023.04.010.

DUAN C T, GUO L D, WEI W, et al. Study on mechanical properties of thermal-conductive carbon materials strengthened by copper electroplating[J]. Carbon Techniques, 2023, 42(4): 54-57. DOI:10.14078/j.cnki.1001-3741.2023.04.010.

于东, 王宏刚, 梁文斌, 等. 储热系统: CN119594772A[P]. 2025-03-11.

高光辉, 刘均庆, 周友, 等. 一种制备碳基储热材料用组合物、碳基储热材料及其制备方法: CN119591406A[P]. 2025-03-11.

胡阳, 邵茂峰, 王蔚然, 等. CDR风力发电机多领域耦合动态建模及全工况分层协同控制[J]. 动力工程学报, 2024, 44(10): 1600-1610, 1639.

HU Y, SHAO M F, WANG W R, et al. Multi-domain coupled dynamic modelling and full operating condition hierarchical cooperative control of CDR wind turbine[J]. Journal of Chinese Society of Power Engineering, 2024, 44(10): 1600-1610, 1639.

SEGEV G, MITTELMAN G, KRIBUS A. Equivalent circuit models for triple-junction concentrator solar cells[J]. Solar Energy Materials and Solar Cells, 2012, 98: 57-65. DOI:10.1016/j.solmat.2011.10.013.

DE SOTO W, KLEIN S A, BECKMAN W A. Improvement and validation of a model for photovoltaic array performance[J]. Solar Energy, 2006, 80(1): 78-88. DOI:10.1016/j.solener.2005.06.010.

杨世铭, 陶文铨. 传热学[M]. 4版. 北京: 高等教育出版社, 2006.YANG S M, TAO W Q. Heat transfer[M]. 4th ed. Beijing: Higher Education Press, 2006.

李孟山, 雷睿, 周永戬, 等. 翅片管换热器快速计算仿真模型开发与验证[J]. 制冷技术, 2024, 44(4): 1-6, 15. DOI:10.3969/j.issn.2095-4468.2024.04.101.

LI M S, LEI R, ZHOU Y J, et al. Development and verification of simulation model for fast calculation of finned tube heat exchanger[J]. Chinese Journal of Refrigeration Technology, 2024, 44(4): 1-6, 15. DOI:10.3969/j.issn.2095-4468.2024.04.101.

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