Method for the prediction of malfunctions of buildings through real energy consumption analysis: Holistic and multidisciplinary approach of Energy Signature

被引:42
作者
Belussi, Lorenzo [1 ]
Danza, Ludovico [1 ]
机构
[1] ITC CNR, Construct Technol Inst, Italian Natl Res Council, I-20098 San Giuliano Milanese, MI, Italy
关键词
Energy Signature; Real consumption; Weather data; MESH; Monitoring; Energy diagnosis; MODELS;
D O I
10.1016/j.enbuild.2012.09.003
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The article explains the stages of a research project aimed at establishing an analytical methodology to analyse the energy performance of existing buildings through Energy Signature (ES), a monitoring method in which measured consumption is related to climatic variables. The energy consumption of buildings represents a large percentage of the total consumption of a country. The consumptions are often higher than those actually needed to ensure optimal conditions for the comfort of a zone, due to both typological defects (poor thermal insulation, thermal bridges, etc.), and wrong behaviour of users. ES has a two-fold purpose: on one hand it can be used as a pre-energy audit by a professional to highlight the glaring problems. On the other hand it can be a valuable tool for raising end users' awareness. The goal of the present study is to define a new accurate calculation method, called MESH, aimed at characterizing the ES from a scientific point of view. In the article, the ES is applied to the heating period: the method can also be used to analyse other types of energy consumption, such as cooling and electrical consumption: in this case it is important to define the appropriate climatic variable. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:715 / 720
页数:6
相关论文
共 15 条
[1]  
[Anonymous], 2006, 128312006 UNI EN
[2]  
[Anonymous], 2008, 113002008 UNI 1
[3]  
[Anonymous], 10349 UNI
[4]  
Darby S., 2006, REV DEFRA LIT METERI, V22
[5]  
European Standard, 156032008 EN
[6]   Experimental estimation of building energy performance by robust regression [J].
Ghiaus, C .
ENERGY AND BUILDINGS, 2006, 38 (06) :582-587
[7]  
Grubbs F.E., 1972, TECHNOMETRICS, V11, P1
[8]   EXTENSION OF SAMPLE SIZES AND PERCENTAGE POINTS FOR SIGNIFICANCE TESTS OF OUTLYING OBSERVATIONS [J].
GRUBBS, FE ;
BECK, G .
TECHNOMETRICS, 1972, 14 (04) :847-&
[9]   A CRITICAL-APPRAISAL OF ENERGY-SIGNATURE MODELS [J].
HAMMARSTEN, S .
APPLIED ENERGY, 1987, 26 (02) :97-110
[10]  
PEARSON K, 1907, MATH CONTRIBUTIONS T