深部地热长时储能变工况运行数值模拟研究

叶灿滔; 温启航; 李棱雪; 龚宇烈

doi:10.19799/j.cnki.2095-4239.2026.0088

您当前的位置：

首页 >

文章列表页 >

深部地热长时储能变工况运行数值模拟研究

储热储冷多场景应用专刊 | 更新时间：2026-07-01

- 深部地热长时储能变工况运行数值模拟研究
- Numerical simulation study on variable-condition operation of deep geothermal long-term energy storage
- 储能科学与技术 2026年15卷第3期页码：953-961
- 作者机构：
  
  中国科学院广州能源研究所，广东广州 510640
- 作者简介：
  
  叶灿滔（1980—），男，硕士，高级工程师，研究方向为地热储能及高效利用，E-mail：yect@ms.giec.ac.cn。
- 基金信息：
  
  深地国家科技重大专项项目(2024ZD1003600)
- DOI：10.19799/j.cnki.2095-4239.2026.0088
  中图分类号： TK 02
- 收稿：2026-01-28，
  
  修回：2026-02-06，
  
  纸质出版：2026-03-28
- 稿件说明：
移动端阅览
叶灿滔, 温启航, 李棱雪, 等. 深部地热长时储能变工况运行数值模拟研究[J]. 储能科学与技术, 2026, 15(3): 953-961.

YE Cantao, WEN Qihang, LI Lingxue, et al. Numerical simulation study on variable-condition operation of deep geothermal long-term energy storage[J]. Energy Storage Science and Technology, 2026, 15(3): 953-961.
叶灿滔, 温启航, 李棱雪, 等. 深部地热长时储能变工况运行数值模拟研究[J]. 储能科学与技术, 2026, 15(3): 953-961. DOI： 10.19799/j.cnki.2095-4239.2026.0088.

YE Cantao, WEN Qihang, LI Lingxue, et al. Numerical simulation study on variable-condition operation of deep geothermal long-term energy storage[J]. Energy Storage Science and Technology, 2026, 15(3): 953-961. DOI： 10.19799/j.cnki.2095-4239.2026.0088.

摘要

深部热储与常规水蓄热技术相比具有温度高、储量大、输出稳定等特点，深部地热长时储能技术是解决大规模清洁供暖系统能源供需时空不匹配的有效方法，技术经济性是项目可行性的关键指标。然而，以往的研究大多只关注地热储能模拟，却忽略了地面热源和建筑负荷系统的运行工况变化，且运行模式过度简化，系统技术合理性和经济有效性表现不足。因此，本研究建立了地面-地下耦合模型，对华北地区典型深部地热储能系统进行了长时储能变工况逐时运行模拟，分析评价了多种运行模式下的深部地热长时储能系统综合性能，结果表明：“源-荷-储”动态协同运行模型下，储热量降低50.4%~64.5%，热羽流半径减少59.1%~81.8%，运行成本降低50.4%~64.5%，运行收益提升32.1%~77.1%，初投资回收期缩短24.3%~43.5%。在具体场景条件下，地面-地下动态耦合的深部地热长时储能变工况运行模型为表征系统性能特性提供精细化的技术支撑。

Abstract

Compared with conventional water-based thermal energy storage

deep geothermal reservoirs offer advantages such as high temperature

large storage capacity

and stable output. Deep geothermal long-term energy storage technology provides an effective solution to address the spatio-temporal mismatch between energy supply and demand in large-scale clean heating systems. However

technical and economic feasibility remains a critical indicator for evaluating the viability of related projects. Nevertheless

most previous studies have primarily focused on the simulation of geothermal energy storage while neglecting the dynamic operational changes of both ground-based heat sources and building load systems. Additionally

the operational modes have been overly simplified

leading to insufficient performance in terms of the system's technical rationality and economic effectiveness. To address these limitations

this study establishes a coupled ground-underground model and conducts an hourly dynamic simulation of long-term energy storage operation under variable conditions for a typical deep geothermal energy storage system in North China. The comprehensive performance of the system under various operational modes is analyzed and evaluated. The results indicate that under the "source-load-storage" dynamic collaborative operation mode

compared with conventional operation modes

the heat storage capacity decreases by 50.4%—64.5%

the thermal plume radius reduces by 59.1%—81.8%

the operational cost decreases by 50.4%—64.5%

the operational profit increases by 32.1%—77.1%

and the payback period is shortened by 24.3%—43.5%. These findings demonstrate the significant advantages of this dynamic collaborative operation mode in improving the technical and economic performance of deep geothermal long-term energy storage systems. Under specific scenarios

the dynamic coupled ground-underground model developed in this study provides refined technical support for characterizing the performance of deep geothermal long-term energy storage systems under variable operating conditions.

关键词

Keywords

references

LU H W, TIAN P P, HE L. Evaluating the global potential of aquifer thermal energy storage and determining the potential worldwide hotspots driven by socio-economic, geo-hydrologic and climatic conditions[J]. Renewable and Sustainable Energy Reviews, 2019, 112: 788-796. DOI:10.1016/j.rser.2019.06.013.

FLEUCHAUS P, GODSCHALK B, STOBER I, et al. Worldwide application of aquifer thermal energy storage—A review[J]. Renewable and Sustainable Energy Reviews, 2018, 94: 861-876. DOI:10.1016/j.rser.2018.06.057.

SHI Y, CUI Q L, SONG X Z, et al. Thermal performance of the aquifer thermal energy storage system considering vertical heat losses through aquitards[J]. Renewable Energy, 2023, 207: 447-460. DOI:10.1016/j.renene.2023.03.044.

HUANG Y H, PANG Z H, KONG Y L, et al. Assessment of the high-temperature aquifer thermal energy storage (HT-ATES) potential in naturally fractured geothermal reservoirs with a stochastic discrete fracture network model[J]. Journal of Hydrology, 2021, 603: 127188. DOI:10.1016/j.jhydrol.2021.127188.

LIU X L, WANG Y M, LI S, et al. The influence of reinjection and hydrogeological parameters on thermal energy storage in brine aquifer[J]. Applied Energy, 2020, 278: 115685. DOI:10.1016/j.apenergy.2020.115685.

KIM J, LEE Y, YOON W S, et al. Numerical modeling of aquifer thermal energy storage system[J]. Energy, 2010, 35(12): 4955-4965. DOI:10.1016/j.energy.2010.08.029.

张宇航, 庞佳萌, 王垚轩. 深部含水层跨季节储热技术数值模拟研究[J]. 河北石油职业技术大学学报, 2025, 27(3): 48-54. DOI:10. 13377/j.cnki.jcpc.2025.03.005.

ZHANG Y H, PANG J M, WANG Y X. Numerical simulation study on cross seasonal thermal storage technology in deep aquifers[J]. Journal of Hebei Petroleum University of Technology, 2025, 27(3): 48-54. DOI:10.13377/j.cnki.jcpc.2025.03.005.

黄永辉, 杨俊生, 朱传庆, 等. 深部含水层储热系统的数值模拟研究[J]. 地球学报, 2023, 44(1): 239-247.

HUANG Y H, YANG J S, ZHU C Q, et al. Numerical modeling of the high-temperature thermal energy storage system in deep aquifers[J]. Acta Geoscientica Sinica, 2023, 44(1): 239-247.

徐德厚, 周学志, 徐玉杰, 等. 新型地下跨季节复合储热系统性能规律[J]. 储能科学与技术, 2021, 10(5): 1768-1776. DOI:10.19799/j.cnki.2095-4239.2021.0334.

XU D H, ZHOU X Z, XU Y J, et al. Performance law of a new composite seasonal underground thermal storage system[J]. Energy Storage Science and Technology, 2021, 10(5): 1768-1776. DOI:10.19799/j.cnki.2095-4239.2021.0334.

CHEN X Y, KANG C Q, O'MALLEY M, et al. Increasing the flexibility of combined heat and power for wind power integration in China: Modeling and implications[J]. IEEE Transactions on Power Systems, 2015, 30(4): 1848-1857. DOI:10.1109/TPWRS. 2014.2356723.

WANG L Y, ZHANG S Q, FU Y, et al. Heat-power decoupling for the CHP unit by utilizing heat storage in the district heating system integrated with heat pumps: Dynamic modeling and performance analysis[J]. Energy, 2024, 306: 132485. DOI:10.1016/j.energy.2024.132485.

WANG C Y, SONG J W. Performance assessment of the novel coal-fired combined heat and power plant integrating with flexibility renovations[J]. Energy, 2023, 263: 125886. DOI:10.1016/j.energy.2022.125886.

GAO L H, ZHAO J, AN Q S, et al. Thermal performance of medium-to-high-temperature aquifer thermal energy storage systems[J]. Applied Thermal Engineering, 2019, 146: 898-909. DOI:10.1016/j.applthermaleng.2018.09.104.

BLOEMENDAL M, JAXA-ROZEN M, OLSTHOORN T. Methods for planning of ATES systems[J]. Applied Energy, 2018, 216: 534-557. DOI:10.1016/j.apenergy.2018.02.068.

SOMMER W, VALSTAR J, LEUSBROCK I, et al. Optimization and spatial pattern of large-scale aquifer thermal energy storage[J]. Applied Energy, 2015, 137: 322-337. DOI:10.1016/j.apenergy. 2014.10.019.

BIRDSELL D T, ADAMS B M, SAAR M O. Minimum transmissivity and optimal well spacing and flow rate for high-temperature aquifer thermal energy storage[J]. Applied Energy, 2021, 289(C): DOI: 10.1016/j.apenergy.2021.116658.

SCHÜPPLER S, FLEUCHAUS P, BLUM P. Techno-economic and environmental analysis of an aquifer thermal energy storage (ATES) in Germany[J]. Geothermal Energy, 2019, 7(1): 11. DOI:10.1186/s40517-019-0127-6.

FLEUCHAUS P, SCHÜPPLER S, BLOEMENDAL M, et al. Risk analysis of high-temperature aquifer thermal energy storage (HT-ATES)[J]. Renewable and Sustainable Energy Reviews, 2020, 133: 110153. DOI:10.1016/j.rser.2020.110153.

SHELDON H A, WILKINS A, GREEN C P. Recovery efficiency in high-temperature aquifer thermal energy storage systems[J]. Geothermics, 2021, 96: 102173. DOI:10.1016/j.geothermics. 2021.102173.

WINTERLEITNER G, SCHÜTZ F, WENZLAFF C, et al. The impact of reservoir heterogeneities on high-temperature aquifer thermal energy storage systems. a case study from northern Oman[J]. Geothermics, 2018, 74: 150-162. DOI:10.1016/j.geothermics. 2018.02.005.

3асумов, 3асумов. Механизм разрушения продуктивных коллекторов в условиях фильтрации флюида[J]. Геология и геофизика Юга России. 2025, 15(4): 122-136.

YU Y J, CHEN H K, CHEN L, et al. Optimal operation of the combined heat and power system equipped with power-to-heat devices for the improvement of wind energy utilization[J]. Energy Science & Engineering, 2019, 7(5): 1605-1620. DOI:10.1002/ese3.375.

MICHALAK P. A thermal network model for the dynamic simulation of the energy performance of buildings with the time varying ventilation flow[J]. Energy and Buildings, 2019, 202: 109337. DOI:10.1016/j.enbuild.2019.109337.

BOODI A, BEDDIAR K, AMIRAT Y, et al. Building thermal-network models: A comparative analysis, recommendations, and perspectives[J]. Energies, 2022, 15(4): 1328. DOI:10.3390/en 15041328.

COLLIGNON M, KLEMETSDAL Ø S, MØYNER O, et al. Evaluating thermal losses and storage capacity in high-temperature aquifer thermal energy storage (HT-ATES) systems with well operating limits: Insights from a study-case in the Greater Geneva Basin, Switzerland[J]. Geothermics, 2020, 85: 101773. DOI:10.1016/j.geothermics.2019.101773.

ZHANG Y Y, GAO X R, SUN C X, et al. Thermal performance and analysis of high-temperature aquifer thermal energy storage based on a practical project[J]. Journal of Energy Storage, 2024, 82: 110399. DOI:10.1016/j.est.2023.110399.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于集成学习和分位数回归的锂离子电池寿命预测方法

模糊综合评价法的储能系统性能评估

铁铬液流电池电解液性能优化研究进展

超级电容储能技术参与源网荷储系统优化控制研究

水系多价金属离子电池普鲁士蓝类正极材料的研究进展