地铁环控能耗分项数据模型及拆分算法研究
Research on itemized data model and splitting algorithm of underground railway environmental control energy consumption
摘要：
对地铁车站按照环控系统类型进行分类，分析了各类地铁车站的特征。通过挖掘各类地铁车站环控能耗数据，并对数据进行拟合，得到了相关系数极高的拟合公式。提出了峰值能耗系数和总值能耗系数概念，有助于实现各类车站全年逐时能耗预测及环控节能策略的制定。
Abstract：
The underground railway stations are classified according to the type of environmental control system, and the characteristics of various underground railway stations are analyzed. By mining the environmental control energy consumption data of various underground railway stations and fitting the data, the fitting formula with high correlation coefficient is obtained. The concepts of peak energy consumption coefficient and total energy consumption coefficient are proposed, which is helpful to realize the annual hourly energy consumption prediction of various stations and the formulation of environmental control energy saving strategy.
Keywords:underground railway; environmental control; itemized energy consumption data model; splitting algorithm; ventilation and air conditioning; peak energy consumption coefficient; total energy consumption coefficient; energy saving strategy