暖通空调>期刊目次>2021年>第9期

地铁车站分项能耗原理模型及其简化研究

Theoretical models and simplification of sub-system energy use systems in underground railway stations

苏子怡 李晓锋
清华大学

摘要:

随着地铁车站用电量的不断增长,有必要对其用能主要项建立能耗指标,对其运行现状及节能措施进行评估和研究。基于地铁车站各主要用能系统的运行特征,建立了详细的分项能耗原理模型,包括通风空调、照明和垂直交通系统。该模型可以通过输入车站的建筑和运营状况,对各分项用能系统的合理能耗进行详细计算。考虑到数据收集工作量大的问题,为了满足实际工程应用的需要,进一步通过敏感性分析提取了能耗模型的重要输入参数,探究了模型的简化。简化的通风空调系统和垂直交通系统能耗模型的均方根误差变异系数分别为7.6%和7.4%,符合工程应用的精度要求。简化模型的提出降低了工程中数据收集工作的难度,可以实现将能耗模型在全国不同气候区各城市地铁车站中进行大规模应用,快速评估车站的运行状况和节能潜力。

关键词:地铁车站,分项能耗,原理模型,敏感性分析,模型简化

Abstract:

With the continuous growth of electricity consumption in underground railway stations, it is necessary to establish energy consumption indicators for major energy use systems to evaluate the energy consumption level and energy saving potentials. Based on the operating characteristics of the major energy use systems of underground railway stations, develops the sub-system energy models, including ventilation and air conditioning (VAC) model, lighting (LIGHT) model and vertical transport (TRANS) model. With the help of these models, the reasonable energy consumption of each sub-system can be simulated by inputting construction and operation status of the underground railway station. Furthermore, taking into account the large workload of data collection in practical engineering applications, extracts the important input parameters of the sub-system energy models using sensitivity analysis, and studies the simplification of the models. The results show that the CV-RMSE of the simplified VAC and TRANS models are 7.6% and 7.4%, respectively, which are acceptable for engineering application. The proposed simplified model greatly reduces the difficulty of data collection in actual projects. Therefore, it is easy to be used in the large-scale application in more underground railway stations across the country to quickly evaluate the operating conditions and assess energy saving potential of underground railway stations.

Keywords:undergroundrailwaystation,sub-systemenergyuse,theoreticalmodel,sensitivityanalysis,modelsimplification

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