基于循环冷却水余热的跨季节地埋管蓄热供热系统参数匹配方法研究

冯国会; 戴晓欣; 王茜如; 黄凯良; 马金铭; 纪学磊

doi:10.19799/j.cnki.2095-4239.2026.0753

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基于循环冷却水余热的跨季节地埋管蓄热供热系统参数匹配方法研究

储能XXXX | 更新时间：2026-09-28

- 基于循环冷却水余热的跨季节地埋管蓄热供热系统参数匹配方法研究
- Study on a Parameter Matching Method for a Seasonal Borehole Thermal Energy Storage Heating System Based on Waste Heat from Circulating Cooling Water
- 储能科学与技术 2026年页码：1-11
- 作者机构：
  
  沈阳建筑大学市政与环境工程学院，沈阳 110168
- 作者简介：
  
  冯国会（1964—），男，博士，教授，研究方向为相变储能、可再生能源利用研究，E-mail：fengguohui888@163.com。
- 基金信息：
  
  “十四五”国家重点研发计划资助(2022YFC3802400)
- DOI：10.19799/j.cnki.2095-4239.2026.0753
  中图分类号： TK 529
- 收稿：2026-09-01，
  
  修回：2026-09-18，
  
  网络首发：2026-09-26，
- 稿件说明：
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冯国会, 戴晓欣, 王茜如, 等. 基于循环冷却水余热的跨季节地埋管蓄热供热系统参数匹配方法研究[J]. 储能科学与技术, XXXX, XX(XX): 1-11.

FENG Guohui, DAI Xiaoxin, WANG Xiru, et al. Study on a Parameter Matching Method for a Seasonal Borehole Thermal Energy Storage Heating System Based on Waste Heat from Circulating Cooling Water[J]. Energy Storage Science and Technology, XXXX, XX(XX): 1-11.
冯国会, 戴晓欣, 王茜如, 等. 基于循环冷却水余热的跨季节地埋管蓄热供热系统参数匹配方法研究[J]. 储能科学与技术, XXXX, XX(XX): 1-11. DOI： 10.19799/j.cnki.2095-4239.2026.0753.

FENG Guohui, DAI Xiaoxin, WANG Xiru, et al. Study on a Parameter Matching Method for a Seasonal Borehole Thermal Energy Storage Heating System Based on Waste Heat from Circulating Cooling Water[J]. Energy Storage Science and Technology, XXXX, XX(XX): 1-11. DOI： 10.19799/j.cnki.2095-4239.2026.0753.

摘要

将循环冷却水余热与跨季节地埋管蓄热技术结合，可为北方地区清洁供热提供补充路径。针对该类系统初步设计阶段钻孔数量和热泵容量难以快速确定的问题，本文提出一种基于动态仿真与目标优化的关键参数匹配方法，以沈阳地区居住建筑为研究对象，结合当地气象条件和余热特性，建立系统仿真模型。以费用年值和系统能效比为优化目标，选取钻孔数量和热泵容量为关键变量，开展45组不同供热面积与余热水平组合工况优化，并采用非线性二阶多项式拟合得到钻孔数量、热泵容量与供热面积及源荷比之间的经验公式。结果表明，公式预测值与模拟寻优值相对误差基本小于5%；以35万m

供热规模为例，优化方案较常规选型方案初投资、运行费用和费用年值分别降低21.21%、10.87%和14.12%，系统耗电量及CO

排放量降低约10.71%，系统COP提高12.00%。在本文设定的气象、地质、钻孔结构、设备模型及经济参数条件下，所建方法可为循环冷却水余热跨季节地埋管蓄热供热系统快速选型提供参考。

Abstract

Combining waste heat from circulating cooling water with the seasonal borehole thermal energy storage technology can provide an alternative pathway for clean heating in northern China. Aiming at the difficulty in rapidly determining the borehole number and heat pump capacit

y during the preliminary design stage of such systems

this paper proposes a key parameter matching method based on dynamic simulation and objective optimization. Taking residential buildings in Shenyang as the research object

a system simulation model is established considering local meteorological conditions and characteristics of waste heat. With the annual cost and system coefficient of performance (COP) as optimization objectives

the borehole number and heat pump capacity are selected as key variables. Optimizations of 45 combined working conditions with different heating areas and waste heat levels are carried out. Nonlinear second-order polynomial fitting is adopted to obtain empirical formulas for the relationships among borehole number

heat pump capacity

heating area and source-load ratio. The results show that the relative error between the predicted values of the formulas and the simulation optimization values is generally less than 5%. Taking a heating scale of 350 000 m

as an example

compared with the conventional selection scheme

the optimized scheme reduces the initial investment

operating cost and annual cost by 21.21%

10.87% and 14.12%

respectively. The system power consumption and CO

emission decrease by approximately 10.71%

while the system COP increases by 12.00%. Under the meteorological

geological

borehole structure

equipment model and economic parameters set in this paper

the proposed method can provide references for the rapid type selection of heating systems adopting circulating cooling water waste heat and seasonal borehole thermal energy storage.

关键词

Keywords

references

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