Research on Optimization of CBD Combined Cooling and Power Supply System Based on Heat Pumps and Cold Storage Tanks

LUAN Jun; CHENG Kai; SHANG Zhijie; LU Xianchao; CHEN Weixiong; DU Wenjing

doi:10.19805/j.cnki.jcspe.2025.250369

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Research on Optimization of CBD Combined Cooling and Power Supply System Based on Heat Pumps and Cold Storage Tanks

更新时间：2026-10-10

- Research on Optimization of CBD Combined Cooling and Power Supply System Based on Heat Pumps and Cold Storage Tanks
- Chinese Journal of Power Engineering Vol. 45, Issue 12, Pages: 2162-2169(2025)
- 作者机构：
  
  1. 西安交通大学能源与动力工程学院,陕西,西安,710049
  2. 华能济南黄台发电有限公司,山东,济南,250131
  3. 华能山东发电有限公司,山东,济南,250014
  4. 山东大学核科学与能源动力学院,山东,济南,250061
- 作者简介：
- 基金信息：
- DOI：10.19805/j.cnki.jcspe.2025.250369
  CLC：
- Online First：16 December 2025，
  
  Published：16 December 2025
- 稿件说明：
移动端阅览
栾俊,程凯,尚志杰,鲁先超,陈伟雄,杜文静. 基于热泵和蓄冷罐的CBD冷电联供系统优化研究动力工程学报, 2025, 45(12): 2162-2169 https://doi.

org/10.19805/j.cnki.jcspe.2025.250369
栾俊,程凯,尚志杰,鲁先超,陈伟雄,杜文静. 基于热泵和蓄冷罐的CBD冷电联供系统优化研究动力工程学报, 2025, 45(12): 2162-2169 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.250369.

org/10.19805/j.cnki.jcspe.2025.250369 DOI：

摘要

基于Simulink构建配备热泵-蓄冷罐的冷电联供系统模型

深入分析了供冷面积、制冷系数

COP

对系统性能的影响

并以收益最大化为目标

优化了热泵运行时段。结果表明:在当前热泵装机规模下

系统能够完全满足40万m

冷面积的用户在各时段的用冷需求;超过130万m

后

热泵在机组执行深度调峰任务的时段始终保持峰值功率运行

此时消纳的调峰电量达到最大;在低

COP

区间

制冷能效提升对供冷减少量具有显著杠杆效应

随着

COP

增大

系统边际改善效果逐渐平缓;存在使系统收入最大化的临界电价

当电价低于临界值时启动热泵

高于临界电价则停止运行;通过优化热泵开启时段

系统典型日收入可增加1 722元

较常规运行模式显著改善。

Abstract

A combined cooling and power supply system equipped with heat pumps and cold storage tanks was developed based on Simulink

and the impact of cooling supply area and coefficient of performance (

COP

) on system performance was analyzed. The operation schedule of the heat pumps was optimized with the goal of maximizing revenue. Results show that the system can fully meet the cooling demand of users across all time periods for an area of 400 000 m

under the current installed capacity of the heat pumps. When the area exceeds 1 300 000 m

the heat pumps operate consistently at peak power during deep peak shaving periods

and the consumption amount of peak shaving electricity reaches its maximum at this moment. In the low

COP

range

improving refrigerat

ion energy efficiency exhibits a significant leverage effect on the cooling supply gap. As the

COP

increases

the marginal improvement in system performance gradually levels off. There exists a critical electricity price that maximizes system revenue so that the heat pumps are activated when the electricity price is below this critical value and stopped when the electricity price is above this critical value. By optimizing the operating schedule of heat pumps

the typical daily revenue of the system can be increased by 1 722 yuan

which is a significant improvement compared to conventional operation modes.

关键词

Keywords

references

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