基于最大信息系数的区域供冷能效敏感性分析*!

Sensitivity analysis of district cooling energy efficiency based on maximum information coefficient

随着我国经济的快速发展,大型建筑群越来越多,相应的关于区域供冷的研究也日益增多。分析区域供冷系统中多变量和多输出量之间的关系能够有效提高系统的能效。本文根据北方某地源热泵系统在夏季时间段内采集到的数据,采用最大信息系数(MIC)法选取供/回水温度、机组功率、综合室外温度等8个特征变量,并将数据分为工作日与非工作日2类,分别与系统能效进行敏感性分析。研究结果表明,在工作日中根据室内温度调节系统有助于提高系统能效,而在非工作日中根据综合室外温度和辐射进行调节能够有效提升系统能效。

With the rapid development of economy in China,there are more and more large buildings,and the corresponding research on the district cooling system is increasing.The analysis on the relationship between the multiple variables and multiple outputs in the district cooling system can effectively improve the energy efficiency of the system.According to the data collected in the summer time period of one ground source heat pump system in the north,the maximum information coefficient（MIC）method is used to select eight characteristic variables,such as water supply/return temperature,power of the assembling unit and comprehensive outdoor temperature,etc..Using the data divided into two categories,namely working days and weekend,the sensitivity analyses of the system energy efficiency are carried out respectively.The research results show that during the working days,the energy efficiency of system can be improved by adjusting the system according to the indoor temperature;in the weekend,the energy efficiency of system can be effectively improved by adjusting the system according to the comprehensive outdoor temperature and radiation.