智能建筑电气技术2024,Vol.18Issue(1) :65-71.

中央空调系统制冷机组节能优化

Energy Saving Optimization of Refrigeration Units in Central Air Conditioning Systems

苏刚 张泉城 胡梦茹
智能建筑电气技术2024,Vol.18Issue(1) :65-71.

中央空调系统制冷机组节能优化

Energy Saving Optimization of Refrigeration Units in Central Air Conditioning Systems

苏刚 1张泉城 1胡梦茹1
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作者信息

  • 1. 天津城建大学,天津 300384
  • 折叠

摘要

空调系统是公共建筑中重要的基础配套设施,其能源消耗占据较大比重,在节能降耗方面存在巨大潜力.为实现在满足冷负荷需求的条件下达到中央空调系统总运行能耗最小的目标,建立了中央空调系统制冷机组能耗模型,并将室外湿球温度和实时的冷负荷值作为空调系统能耗模型的输入条件,分别利用粒子群算法和改进粒子群算法获得在不同负荷需求时空调系统对应的最佳工作点,实现中央空调系统运行优化节能的效果.

Abstract

As an important infrastructure in public buildings,the central air conditioning system consumes a large proportion of energy,the air conditioning system has a huge energy saving potential in terms of energy saving.In order to achieve the goal of achieving the minimum total operating energy consumption of the central air-conditioning system under the condition of meeting the cooling load demand,the refrigeration units energy consumption model of the central air-conditioning system is established,and the outdoor wet bulb temperature and real-time cooling load value are used as the input conditions of the energy consumption model of the air-conditioning system,and the particle swarm algorithm and the improved particle swarm algorithm are used to obtain the best working point corresponding to the air conditioning system under different load demand,so as to realize the effect of optimizing and saving energy in the operation of the central air-conditioning system.

关键词

中央空调系统/能耗分析/节能优化/能耗模型/粒子群算法/改进粒子群算法

Key words

central air conditioning system/energy consumption analysis/energy saving and optimization/energy consumption model/PSO/IMPSO

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出版年

2024
智能建筑电气技术
亚太建筑科技信息研究院

智能建筑电气技术

影响因子:0.346
ISSN:1729-1275
被引量1
参考文献量5
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