中央空调系统的自蓄能特性与调峰潜力

毛宇波; 梁彩华; 汤琪

doi:10.12465/j.issn.0253-4339.2024.06.135

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中央空调系统的自蓄能特性与调峰潜力

更新时间：2024-12-13

- 中央空调系统的自蓄能特性与调峰潜力
- Self-Storage Characteristics and Peak Shaving Potential of Central Air Conditioning Systems
- 制冷学报 2024年45卷第6期页码：135-144
- 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.0253-4339.2024.06.135
  中图分类号： TB61⁺1;TU831.3
- 收稿日期：2023-07-28，
  
  修回日期：2023-11-17，
  
  录用日期：2023-12-12，
  
  纸质出版日期：2024-12-16
- 稿件说明：
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毛宇波, 梁彩华, 汤琪. 中央空调系统的自蓄能特性与调峰潜力[J]. 制冷学报, 2024,45(6):135-144.

Mao Yubo, Liang Caihua, Tang Qi. Self-Storage Characteristics and Peak Shaving Potential of Central Air Conditioning Systems[J]. Journal of refrigeration, 2024, 45(6): 135-144.
毛宇波, 梁彩华, 汤琪. 中央空调系统的自蓄能特性与调峰潜力[J]. 制冷学报, 2024,45(6):135-144. DOI： 10.12465/j.issn.0253-4339.2024.06.135.

Mao Yubo, Liang Caihua, Tang Qi. Self-Storage Characteristics and Peak Shaving Potential of Central Air Conditioning Systems[J]. Journal of refrigeration, 2024, 45(6): 135-144. DOI： 10.12465/j.issn.0253-4339.2024.06.135.

摘要

中央空调系统因能耗大且与电网的尖峰负荷重叠，已成为电网调峰的重要对象和研究热点。为研究和挖掘中央空调系统参与电网调峰的潜力，提出一种中央空调系统自蓄能方法，该方法通过调节用户侧管网冷冻水温实现冷量的存储与释放，将峰期空调能耗转移，达到削峰填谷的目的。以某实际建筑中央空调系统为对象，通过建立中央空调系统模型并进行仿真，研究了该系统在不同空调负荷率和蓄冷量下的自蓄能蓄冷、释冷运行特性，评估了该建筑的自蓄能调峰潜力和运行经济性。结果表明：在40%空调负荷率下完成100%蓄冷量的蓄冷能效比为4.2，耗时27 min；在100%空调负荷率、100%蓄冷量和12 ℃释冷结束水温下，释冷60 min的削峰电量为745 kW·h，削峰率为23.9%；在最大冷负荷为11 673 kW的供冷季典型日利用自蓄能可降低空调系统3.9%的峰期电量和19.8%的尖峰期电量，单日节省3.0%的空调系统运行电费。

Abstract

The central air conditioning system has been of interest for peak load regulation in the power grid due to its high energy consumption and overlapping with the peak load of the power grid. To study and explore the potential of peak load regulation in central air conditioning systems

a self-storage method for central air conditioning systems is proposed. This method achieves storage and release of cold energy by adjusting the chilled water temperature of the user-side pipeline network

transferring peak air conditioning energy consumption

and achieving the goal of peak shaving and valley filling. The central air conditioning system of a certain actual building is used as a research object. A model of the central air conditioning system is developed

and simulations are conducted to study the operating characteristics of the system under different air conditioning load rates and cold storage capacity. The peak shaving potential and operational economy of the building′s self-storage energy are evaluated. The energy efficiency ratio for a cold storage capacity of 100% at an air conditioning load ratio of 40% is 4.2

and 27 min are required. Under an air conditioning load ratio of 100%

cold storage capacity of 100%

and cooling end water temperature of 12 ℃

the peak shaving electricity consumption after 60 min of cooling is 745 kW·h

and the peak shaving ratio is 23.9%. The use of self-storage energy during a typical day during the cooling season with a maximum cooling load of 11 673 kW can reduce the peak electricity consumption of the air conditioning system by 3.9% and peak electricity consumption by 19.8%

resulting in a daily saving of 3.0% in the operating electricity cost of the air conditioning system.

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references

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