Review of Methods for Buildings Energy Performance Modelling

World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium - WMCAUS

土木建筑工程

Krsti, Hrvoje^1 ; Teni, Mihaela^1

Faculty of Civil Engineering Osijek, Josip Juraj Strossmayer University of Osijek, Vladimira Preloga 3, Osijek

31000, Croatia^1

关键词: Building energy efficiency;    Building energy performance;    Building shape factor;    Energy certification;    Independent variables;    Partial retrofitting;    Predictive modeling;    Statistical dependencies;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/245/4/042049/pdf
DOI  :  10.1088/1757-899X/245/4/042049

学科分类：土木及结构工程学

来源: IOP

【 摘 要 】

Research presented in this paper gives a brief review of methods used for buildings energy performance modelling. This paper gives also a comprehensive review of the advantages and disadvantages of available methods as well as the input parameters used for modelling buildings energy performance. European Directive EPBD obliges the implementation of energy certification procedure which gives an insight on buildings energy performance via exiting energy certificate databases. Some of the methods for buildings energy performance modelling mentioned in this paper are developed by employing data sets of buildings which have already undergone an energy certification procedure. Such database is used in this paper where the majority of buildings in the database have already gone under some form of partial retrofitting - replacement of windows or installation of thermal insulation but still have poor energy performance. The case study presented in this paper utilizes energy certificates database obtained from residential units in Croatia (over 400 buildings) in order to determine the dependence between buildings energy performance and variables from database by using statistical dependencies tests. Building energy performance in database is presented with building energy efficiency rate (from A+ to G) which is based on specific annual energy needs for heating for referential climatic data [kWh/(m2a)]. Independent variables in database are surfaces and volume of the conditioned part of the building, building shape factor, energy used for heating, CO2emission, building age and year of reconstruction. Research results presented in this paper give an insight in possibilities of methods used for buildings energy performance modelling. Further on it gives an analysis of dependencies between buildings energy performance as a dependent variable and independent variables from the database. Presented results could be used for development of new building energy performance predictive model.