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地下车站供冷季用能特征分析与基于需求响应的调峰潜力评估

Energy consumption characteristic analysis and peak load regulation potential investigation based on demand response for underground stations in cooling season
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摘要 聚焦地铁车站小时尺度用能特征,以长江中下游地区某典型屏蔽门地下车站为例,分析了车站逐时能耗构成及通风空调系统能耗的影响因素。研究结果表明,通风空调能耗为地铁车站动力照明能耗的最大占比项,占比可达83%,室外空气参数、客流量与发车密度均与通风空调能耗呈现显著相关关系。面向需求响应,建立了混合整数规划模型,评估蓄能参与下的地铁车站调峰潜力。模拟结果表明,蓄能装置参与下,车站全年累计高峰时段用电量可大幅削减,48.2%的高峰时段用电量可转移至平时段和低谷时段。 Focusing on the hourly energy consumption characteristics of subway stations,taking a typical underground station with platform-screen-door in the middle and lower reaches of the Yangtze River as an example,this paper analyses the hourly energy consumption composition of the station and the influencing factors of the energy consumption of ventilation and air conditioning systems.The research results show that the ventilation and air conditioning energy consumption accounts for the largest proportion of power lighting energy consumption in subway stations,accounting for 83%.Outdoor air parameters,passenger flow and departure density all show significant correlations with the ventilation and air conditioning energy consumption.Facing demand response,a mixed integer programming model is established to evaluate the peak load regulation potential of subway stations with the participation of energy storage.Simulation results show that with the participation of energy storage devices,the station s cumulative electricity consumption in peak hours throughout the year can be greatly reduced,and 48.2%of peak electricity consumption can be shifted to normal and valley periods.
作者 朱大缓 关博文 常晓敏 Zhu Dahuan;Guan Bowen;Chang Xiaomin(Shanghai Shentong Metro Co.,Ltd.,Shanghai;Xi’an Jiaotong University,Xi’an;Nanjing Deepctrls Technology Co.,Ltd.,Nanjing)
出处 《暖通空调》 2024年第9期119-124,共6页 Heating Ventilating & Air Conditioning
基金 上海申通地铁集团有限公司科研项目“轨道交通地下车站能耗诊断和评估方法研究”(编号:JS-KY21R014-2)。
关键词 地下车站 用能特征 需求响应 蓄能 调峰潜力 动力照明能耗 通风空调 underground station energy consumption characteristic demand response energy storage peak load regulation potential power lighting energy consumption ventilation and air conditioning
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