基于主动水蓄冷的冷水机组节能优化策略研究

黄俊杰; 梁彩华; 何慧; 白曦; 毛宇波; 汤琪

doi:10.12465/j.issn.0253-4339.2025.01.108

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基于主动水蓄冷的冷水机组节能优化策略研究

更新时间：2025-01-23

- 基于主动水蓄冷的冷水机组节能优化策略研究
- Energy-Saving Optimization Strategy Research for Chilled Water Units Based on Active Water Storage
- 制冷学报 2025年46卷第1期页码：108-115
- 作者机构：
  
  东南大学能源与环境学院　南京　 210096
- 作者简介：
  
  梁彩华，男，教授，博士生导师，东南大学能源与环境学院，13813873570，E-mail：caihualiang@163.com。研究方向：新型制冷空调技术、建筑空调系统控制与节能优化。
- 基金信息：
  
  “十三五”国家重点研发计划(2016YFC0700304)
- DOI：10.12465/j.issn.0253-4339.2025.01.108
  中图分类号： TB61⁺1;TU831
- 收稿日期：2024-01-13，
  
  修回日期：2024-02-10，
  
  录用日期：2024-04-18，
  
  纸质出版日期：2025-02-16
- 稿件说明：
移动端阅览
黄俊杰, 梁彩华, 何慧, 等. 基于主动水蓄冷的冷水机组节能优化策略研究[J]. 制冷学报, 2025,46(1):108-115.

Huang Junjie, Liang Caihua, He Hui, et al. Energy-Saving Optimization Strategy Research for Chilled Water Units Based on Active Water Storage[J]. Journal of refrigeration, 2025, 46(1): 108-115.
黄俊杰, 梁彩华, 何慧, 等. 基于主动水蓄冷的冷水机组节能优化策略研究[J]. 制冷学报, 2025,46(1):108-115. DOI： 10.12465/j.issn.0253-4339.2025.01.108.

Huang Junjie, Liang Caihua, He Hui, et al. Energy-Saving Optimization Strategy Research for Chilled Water Units Based on Active Water Storage[J]. Journal of refrigeration, 2025, 46(1): 108-115. DOI： 10.12465/j.issn.0253-4339.2025.01.108.

摘要

针对目前空调行业中应用蓄冷技术进行经济性优化过程中能耗普遍增加的问题，提出一种以保持冷水机组高能效运行为核心的节能优化运行策略，该策略通过小型蓄冷罐储存和释放冷量，主动调控冷水主机的负荷率，保持冷水主机长时间处于高效运行状态以实现节能。以一座医院的中央空调系统的运行数据为数据来源，建立空调系统物理模型进行模拟，得到冷水主机在不同环境条件下的性能曲线，用于准确描述每时刻冷水主机的高效运行状态。在最大冷负荷为9 979 kW的供冷季典型日，相比于无主动水蓄冷的常规冷水机组运行策略，可节省日用电量2 777 kW·h，占当日中央空调系统用电量的6.0%，并在整个供冷季节省中央空调系统用电量2.35%，节省冷水主机用电量4.45%。

Abstract

An energy-saving optimization operation strategy based on maintaining the high-energy-efficiency operation of chillers is proposed to address the prevalent issue of increased energy consumption in the application of cold-storage technology for economic optimization in the current air-conditioning industry. This strategy involves the storage and release of cooling using small cold-storage tanks to actively control the load ratio of the water chiller

thus ensuring that the unit operates efficiently for an extended period to achieve energy savings. A physical model of the air-conditioning system is established and simulated using operational data from the central air-conditioning system of a hospital. Performance curves of the water chiller under different environmental conditions are obtained to accurately depict the high-efficiency operational states of the unit at each moment. On a typical day with a peak cooling load of 9 979 kW

using an active chilled-water storage system

as compared with using the conventional chiller operation strategy without active storage

can reduce 2 777 kW·h of daily electricity consumption

which constitutes 6.0% of the daily electricity usage of the central air-conditioning system. Over the entire cooling season

this approach can save 2.35% of the total electricity consumption of the central air-conditioning system and 4.45% of the electricity consumption of the chiller.

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references

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