基于分项实时监测的建筑能耗数值分析

Numerical analysis of building energy consumption based on separate real-time monitoring

大型公共建筑的用电量超过社会建筑总用电量的30%,是建筑节能监管和改造的主要对象,但目前大部分公共建筑的实时分项能耗数据还未被掌握。利用数据采集、通讯等相关技术和设备建立了一套建筑能耗数据采集系统,通过对40栋目标建筑进行能耗分项监测,获得了大量的建筑能耗实时分项数据。对建筑的结构和使用信息进行统计,结合获得的实际能耗数据确定影响建筑能耗的诸多因子。通过多元线性回归分析方法对建筑能耗和影响因子进行分析,得到影响这40栋建筑能耗的主要因子,并建立了相应的能耗预测模型,通过与实测数据对比,模型对同种功能类型建筑的能耗起到了较准确的预测作用。此模型可为部分公共建筑的定额用能和超定额加价以及节能改造提供参考。

The electric power consumption of largescale public buildings, which are the main ob jects in the supervision and transformation of building energy conservation, accounts for more than 30% of the total energy consumption of all the social architectures. However, at present the real time separate energy consumption data of most public buildings has not been mastered. An acquisi tion system of buildings＇ energy consumption data was established by using data collection, commu nication and other related techniques and equipment. With this system, the separate monitoring of energy consumption was carried out in 40 target constructions and separate realtime data of energy consumption in these buildings were received. Factors which affect the energy consumption were i dentified by analyzing statistically the structure and using information of the buildings and the actual energy consumption data. Multiple linear regression analysis was used to analyze building energy consumption and influencing factors and d0 major factors which affect building energy consumption were obtained and the corresponding prediction model of energy consumption was developed. Com pared with the observed data, the model can accurately forecast the energy consumption of the build ings which have the same functions. This model can provide reference data for the energy quota, price raising for abovequota of energy using and for energy saving for public constructions in the fu ture.