摘要
采用现场实验测试方法,在典型用户的相邻住户入住率逐渐增加的过程中,对供暖期户间传热问题进行计算,并在运用相应大数据处理分析户间传热对分户热计量影响的基础上,分析供暖用户室内平均温度随时间的变化,并定量地分析户间传热量:邻户由于传热所得的热量约占其总耗热量的9.3%~47.2%。在热计量收费模型的有效可行的校正中,采用实际住户用热系数α和相邻用户间传热利用系数β。
The field experiment test method is mainly used to calculate the heat transfer problem between households during the heating period in the process of gradually increasing the occupancy rate of the neighboring households of typical users. Based on the analysis of the influence of heat transfer on the heat metering of households by using the corresponding big data processing, the indoor average temperature of the heating users is analyzed with time, and the heat transfer between households is quantitatively analyzed: the heat generated by the neighbors due to heat transfer It accounts for 9.3%~47.2% of its total heat consumption. In the effective and feasible correction of the heat metering and charging model, the actual household heat coefficient α and the heat transfer utilization coefficient β between adjacent users are used.
出处
《节能》
2019年第1期51-53,共3页
Energy Conservation
基金
吉林省自然科学基金项目(项目编号:201801013 20JC)
关键词
收费模型
入住率
大数据户间传热
分户热计量
charge model
occupancy rate
big data transfer between households
household heat metering
