Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/26870
Title: Quantitative energy performance assessment methods for existing buildings
Authors: Wang, S 
Yan, C
Xiao, F 
Keywords: Energy performance assessment
Energy quantification
Existing buildings
Issue Date: 2012
Publisher: Elsevier
Source: Energy and buildings, 2012, v. 55, p. 873-888 How to cite?
Journal: Energy and buildings 
Abstract: Building energy performance assessment is crucial to ascertain the efficiency of energy use in buildings and is the basis to make any decision for enhancing energy efficiency. In order to assess the energy performance of existing buildings quantitatively, the energy use of the assessed buildings should be quantified first. The quantified energy use will be then used to compare with the assessment criteria to determine the energy performance quantitatively. This paper presents an overall review on the state of the art of the research and applications of quantitative energy performance assessment. A framework is proposed for categorizing the energy quantification methods and performance benchmarking methods for energy performance assessment for existing buildings. Energy quantification methods are classified into three categories, i.e. the calculation-based, measurement-based and hybrid methods, according to the energy data acquisition approaches. Energy performance assessment methods are classified according to the assessment scope and depth of assessment, i.e. whole-building benchmarking method at building level and multi-level assessment method.
URI: http://hdl.handle.net/10397/26870
ISSN: 0378-7788
EISSN: 1872-6178
DOI: 10.1016/j.enbuild.2012.08.037
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

106
Last Week
0
Last month
2
Citations as of Jul 7, 2018

WEB OF SCIENCETM
Citations

86
Last Week
1
Last month
4
Citations as of Apr 2, 2018

Page view(s)

76
Last Week
0
Last month
Citations as of Jul 15, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.