Development and Validation of a Analytical Model for Large-Scale Water Pit Thermal Energy Storage System

Zhu Meisheng; Ma Ming; Jin Heping; Hua Rui; Luo Huiheng; Tian Zhiyong; Luo Yongqiang; Chen Xie; Zhou Chaohui

doi:10.12465/issn.0253-4339.20250224002

您当前的位置：

首页 >

文章列表页 >

Development and Validation of a Analytical Model for Large-Scale Water Pit Thermal Energy Storage System

更新时间：2026-06-01

- Development and Validation of a Analytical Model for Large-Scale Water Pit Thermal Energy Storage System
- Journal of Refrigeration Vol. 47, Issue 3, Pages: 133-141(2026)
- 作者机构：
  
  1.中国长江电力股份有限公司武汉 430010
  2. 三峡电能有限公司武汉 430022
  3. 中国长江三峡集团有限公司武汉 430010
  4. 华中科技大学环境科学与工程学院武汉 430074
- 作者简介：
- 基金信息：
  
  The Project was supported by the "Research and Development of Key Technologies and Model for Water Pit Seasonal Thermal Storage" of China Yangtze Power Co., Ltd.(Z342302009)
- DOI：10.12465/issn.0253-4339.20250224002
  CLC： TK512;O241
- Received：24 February 2025，
  
  Revised：2025-03-24，
  
  Accepted：26 May 2025，
  
  Published：16 June 2026
- 稿件说明：
移动端阅览
朱梅生,马明,金和平等.大规模跨季节储热水体解析模型开发与验证[J].制冷学报,2026,47(03):133-141.

Zhu Meisheng,Ma Ming,Jin Heping,et al.Development and Validation of a Analytical Model for Large-Scale Water Pit Thermal Energy Storage System[J].Journal of Refrigeration,2026,47(03):133-141.
朱梅生,马明,金和平等.大规模跨季节储热水体解析模型开发与验证[J].制冷学报,2026,47(03):133-141. DOI： 10.12465/issn.0253-4339.20250224002.

Zhu Meisheng,Ma Ming,Jin Heping,et al.Development and Validation of a Analytical Model for Large-Scale Water Pit Thermal Energy Storage System[J].Journal of Refrigeration,2026,47(03):133-141. DOI： 10.12465/issn.0253-4339.20250224002.

摘要

大规模水池蓄热系统的利用可增加集中供暖系统中可再生能源占比。目前水池蓄热系统的可用模型大多基于数值建模，缺乏可快速计算及准确的解析模型。基于此，本研究提出了一种适用于大规模储热水体的解析模型。该模型分别在水域和土壤域进行求解，再通过水池侧壁和底部温度以及边界热通量进行耦合。在水域传热分析中，提出“三区”模型，将横截面分成中心区、过渡区和边缘区，相比于简单的一维模型，该“三区”模型将水体水平流动纳入考虑，对水温的动态模拟更为准确。在土壤传热分析中，改进了用于地源热泵领域的有限圆柱源模型，使之适用于大型水池蓄热系统的建模。随后，该解析模型采用丹麦60 000 m

水池蓄热项目10 a实测数据进行验证，发现顶部、中上部、中部、中下部和底部位置的水温平均误差分别为0.233%、0.44%、0.445%、0.316%和1.27%，均小于1.5%，表明该解析模型具有较高准确度和可靠性。

Abstract

The use of large-scale water-pit thermal energy storage （PTES） systems can increase the share of renewable energy sources in district heating systems. Currently， the available models for PTES systems are mostly based on numerical models that are not amenable to fast calculation， lacking accurate analytical models. Accordingly， this study proposes a analytical model suitable for PTES. The model solves for the water and soil domains separately and then couples them through the pit sidewall， bottom temperature， and boundary heat fluxes. For water domain heat transfer analysis， a "three-zone" model is proposed， dividing the cross-section into central， transition， and edge zones. Compared to simple one-dimensional models， this "three-zone" model considers horizontal water flow， thereby providing a more accurate dynamic simulation of water temperature. In the heat transfer analysis of the soil domain， the finite cylindrical source model used in the field of ground-source heat pumps was improved to make it suitable for modeling PTES. Furthermore， the semi-analytical model was validated using 10 years of measured data from a 60 000 m³ PTES in Denmark. The average temperature errors at the top， upper-middle， middle， lower-middle， and bottom positions were 0.233%， 0.44%， 0.445%， 0.316%， and 1.27%， respectively， all less than 1.5%， indicating that the model exhibits high accuracy and reliability.

关键词

Keywords

references

葛世文 . 热电厂热水储热罐热特性与控制应用研究［D］. 北京：华北电力大学， 2019 .

GE Shiwen . Research on thermal characteristics and control application of hot water storage tanks in thermal power plants ［D］. Beijing ： North China Electric Power University ， 2019 .

RENALDI R ， FRIEDRICH D . Techno-economic analysis of a solar district heating system with seasonal thermal storage in the UK ［J］. Applied Energy ， 2019 ， 236 ： 388 - 400 .

MAXIMOV S A ， MEHMOOD S ， FRIEDRICH D . Multi-objective optimisation of a solar district heating network with seasonal storage for conditions in cities of southern Chile ［J］. Sustainable Cities and Society ， 2021 ， 73 ： 103087 .

SALVESTRONI M ， PIERUCCI G ， POURREZA A ， et al . Design of a solar district heating system with seasonal storage in Italy ［J］. Applied Thermal Engineering ， 2021 ， 197 ： 117438 .

BAI Yakai ， WANG Zhifeng ， FAN Jianhua ， et al . Numerical and experimental study of an underground water pit for seasonal heat storage ［J］. Renewable Energy ， 2020 ， 150 ： 487 - 508 .

PANTHALOOKARAN V ， EL-AMIN M F ， HEIDEMANN W ， et al . Calibrated models for simulation of stratified hot water heat stores ［J］. International Journal of Energy Research ， 2008 ， 32 （ 7 ）： 661 - 676 .

CHANG Chun ， WU Zhiyong ， NAVARRO H ， et al . Comparative study of the transient natural convection in an underground water pit thermal storage ［J］. Applied Energy ， 2017 ， 208 ： 1162 - 1173 .

DAHASH A ， JANETTI M B ， OCHS F . Numerical analysis and evaluation of large-scale hot water tanks and pits in district heating systems ［C］// Building Simulation Conference Proceedings . Rome， Italy ： International Building Performance Simulation Association （IBPSA）， 2019 ， 3 ： 1692 - 1699 .

DAHASH A ， JANETTI M B ， OCHS F . Detailed axial symmetrical model of large-scale underground thermal energy storage ［C］// Proceedings of COMSOL 2018 Conference . Lausanne， Switzerland ： COMSOL Inc. ， 2018 ： 1 - 8 .

OCHS F ， DAHASH A ， TOSATTO A ， et al . Comprehensive comparison of different models for large-scale thermal energy storage ［C］// Proceedings of the International Renewable Energy Storage Conference 2021 . Düsseldorf， Germany ： Atlantis Press ， 2022 ： 36 - 51 .

LAMAGNA M ， NASTASI B ， GROPPI D ， et al . Hourly energy profile determination technique from monthly energy bills ［J］. Building Simulation ， 2020 ， 13 （ 6 ）： 1235 - 1248 .

RAZA A ， MALIK T N ， KHAN M F N ， et al . Energy management in residential buildings using energy hub approach ［J］. Building Simulation ， 2020 ， 13 （ 2 ）： 363 - 386 .

TANIMOTO J ， KIMURA K I . Simulation study on an air flow window system with an integrated roll screen ［J］. Energy and Buildings ， 1997 ， 26 （ 3 ）： 317 - 325 .

WANG Yanjin ， CHEN Youming ， ZHOU Juan . Dynamic modeling of the ventilated double skin façade in hot summer and cold winter zone in China ［J］. Building and Environment ， 2016 ， 106 ： 365 - 377 .

MAN Yi ， YANG Hongxing ， DIAO Nairen ， et al . A new model and analytical solutions for borehole and pile ground heat exchangers ［J］. International Journal of Heat and Mass Transfer ， 2010 ， 53 （ 13/14 ）： 2593 - 2601 .

DAHASH A ， OCHS F ， TOSATTO A ， et al . Toward efficient numerical modeling and analysis of large-scale thermal energy storage for renewable district heating ［J］. Applied Energy ， 2020 ， 279 ： 115840 .

Views

478

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Development and Validation of the Water Pit Numerical Model for Seasonal Thermal Energy Storage

Study on the Heating Performance of a Cascade Active Magnetic Regenerator Based on Numerical Simulations

Practice and Optimization of Seasonal/Daily Composite Thermal Energy Storage Technology Based on Lakes/Rivers

Annual Operation Analysis of a PV/T-Coupled Ground-Source Heat Pump System with Cross-Seasonal Heat Storage in Cold Regions

Evolution of Liquid-Oxygen Interface Shape Based on Drop-Tower Experiments

Related Author

Tian Zhiyong

Xu Guozhi

Luo Yongqiang

Luo Huiheng

Ruan Yu

Tian Zhiyong

Zhang Jicheng

Hu Yue

Related Institution

China Yangtze Power Co., Ltd.

Three Gorges Electric Energy Co., Ltd.

School of Environmental Science and Engineering, Huazhong University of Science and Technology

School of Mechanical and Automotive Engineering， South China University of Technology

School of Energy and Environment, Southeast University

Address：10/F, Yindu Mansion, 67 Fucheng Road, Haidian Dist, Beijing, China Postal code：100142
Tel：010-68711412 Email：editor@car.org.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰