2012
DOI: 10.1016/j.enbuild.2012.01.034
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A methodology for the energy performance classification of residential building stock on an urban scale

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Cited by 198 publications
(78 citation statements)
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“…Improving these buildings with a low energy performance is hence an urgent and important challenge. Many authors have emphasized the importance of building renovation in energy savings and reduction in greenhouse gas emissions [6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%
“…Improving these buildings with a low energy performance is hence an urgent and important challenge. Many authors have emphasized the importance of building renovation in energy savings and reduction in greenhouse gas emissions [6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%
“…This inevitably led to the use of macroeconomic data, such as interregional input-output tables and statistical yearbooks, among other sources. The metabolic units at various levels were usually treated as black boxes or grey boxes, which can be measured in terms of their input and output without (Kleijn et al, 2000) S w e d e n 1 9 5 0 -2100 PVC stock Substance flow analysis (Tanikawa et al, 2002) Kitakyushu (Japan) 1970(Japan) , 1995(Japan) , 2020 Roadway and building MFA with GIS (Muller, 2006) Netherlands 1900-2100 Dwelling stock A stock dynamics model based on MFA (Schiller, 2007) Germany Road and utility infrastructures Material flow model (Kovanda et al, 2007) C z e c h R e p u b l i c 2 0 0 0 -2002 Infrastructures, buildings, durables Economy-wide material flow accounting and analysis (Yamaguchi et al, 2007) Osaka (Japan) 2007 Urban building, infrastructure A bottom-up model (Bergsdal et al, 2007) Norway 1900-2100 Dwelling stock Dynamic material flow analysis (Lichtensteiger and Baccini, 2008) Switzerland 1900-2000 Buildings stock MFA combined with ark-house method (Tanikawa et al, 2009) J a p a n 1 9 7 5 -2004 Urban subsurface stock Statistical methods integrated with GIS database Japan Copper, steel, aluminum in urban By using DMSP/OLS nocturnal images (Daigo et al, 2009 Hu et al, 2010) Beijing (China) 1949(China) -2008 Urban residential buildings Material and energy flow analysis (Diamond et al, 2010) Toronto (Canada) 2010 PCB stock PCB inventory (Dall'O' et al, 2012) Lombardy (Italy), Residential building stock on an urban scale A mixed method combined top-down with bottom-up (Han and Xiang, 2012) C h i n a 1 9 7 8 -2008…”
Section: Review For Ms and Its Methods On An Urban Scalementioning
confidence: 99%
“…Many studies were carried out in order to evaluate the energy performance of buildings; some of them were based on statistical data provided by European reports or by municipalities [18][19][20][21], others evaluated the efficiency of the European methodology by using a survey questionnaire carried out in all European countries [22,23]. Other interesting works evaluated the energy performance of buildings based on a database in which different parameters were included [22][23][24][25][26].…”
Section: State Of Artmentioning
confidence: 99%