地铁车站空调系统瞬态能耗预测模型及应用研究

(1.长安大学 建筑工程学院,陕西 西安 710060; 2.长安大学 建筑学院,陕西 西安 710060)

地铁车站; 空调系统; 分时调控; 能耗预测; 冷源优化

Transient energy consumption model and its application on cold source optimization of air conditioning system in subway station
TAN Zijing1, HE Siyu1, ZHAO Jingyuan2

(1.Chang'an University, School of Civil Engineering, Xi'an 710060, China; 2.Chang'an University, School of Architecture, Xi'an 710060, China)

subway station; air conditioning system; transient control; energy consumption prediction; cold source optimization

DOI: 10.15986/j.1006-7930.2023.01.018

备注

降低地铁车站空调系统能耗是实现地铁节能的关键.地铁车站空调系统能耗受客流量影响,存在显著的逐时变化.地铁车站空调系统节能设计及运行优化需要以准确的瞬态能耗预测为基础.据此,本研究搭建了基于负荷判断和分时调控的地铁车站空调系统瞬态能耗预测模型,并根据现场实测数据对该模型的准确性进行了验证.在此基础上,对该模型在地铁车站空调系统冷源方案优化中的应用进行了探索.以广州某标准站为例,对常规水冷冷水、整体式蒸发冷凝、直接膨胀式蒸发冷凝三种冷源方案下的系统全年逐时能耗进行预测,进而基于技术经济分析对这三种常用冷源方案在地铁车站空调系统中的适用性进行了讨论.研究结果表明:在三种冷源方案中,直膨式蒸发冷凝方案的节能性能最佳,虽然其初投资高于常规冷水水冷空调系统,但年综合运行费用低,具有最高的经济效益.
Reducing energy consumption of air conditioning system is the key of realizing subway station energy-saving. Energy consumption of air conditioning system in subway station is influenced by passenger flow volume and shows significant hourly variation. Energy efficiency design and operation optimization of air conditioning system in subway station is based on accurate transient energy consumption prediction. Accordingly, a transient energy consumption model of subway station ventilation and air conditioning system is presented in this study. The prediction accuracy of this model was proved to be acceptable based on field measurement. Then, the application of this model on cold source optimization was discussed. A standard station in Guangzhou was taken as an example, the annual hourly energy consumption under three different cold source schemes: conventional water-cooling system, integral evaporative cooling system and direct expansion evaporative cooling system was numerically investigated. Further, technical and economic efficiency was discussed, applicability of three cold source schemes were discussed. The results demonstrate that direct expansion evaporative cooling is the most energy-efficient cold source scheme and has the highest economic benefits due to its lowest annual combined operating expenses.
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