000203772 001__ 203772
000203772 005__ 20190117192008.0
000203772 0247_ $$2doi$$a10.1016/j.enbuild.2014.11.015
000203772 022__ $$a0378-7788
000203772 037__ $$aARTICLE
000203772 245__ $$aA statistical method for comparing different retrofitting measures of buildings and evaluating their robustness against climate change
000203772 260__ $$bElsevier$$c2015
000203772 269__ $$a2015
000203772 336__ $$aJournal Articles
000203772 520__ $$aEvaluating the usefulness and the reliability of retrofitted buildings for future climate can be a challenging task, while different scenarios and uncertainties exist both for retrofitting buildings and future climate. This paper presents a method to assess and quantify the relative robustness of retrofitting measures on long term, while climate variations in different time scales, extreme conditions and uncertainties of climate change are considered. The applicability of the method is examined by comparing two energy retrofitting measures for the existing residential building stock of Stockholm, whose energy performance is numerically simulated during 1961–2100 for five climate scenarios. The considered climate uncertainties are due to downscaling climate data from five different global climate models. The relative robustness of the retrofitting measures are evaluated in five time scales; hourly, daily, monthly, annual and 20-year period. The presented method facilitates the assessment and ranking of retrofitting measures, using few numbers. It also generates an overall view about the relative performance of retrofitting measures in different time scales.
000203772 6531_ $$aRetrofitting buildings
000203772 6531_ $$aImpact assessment
000203772 6531_ $$aClimate change
000203772 6531_ $$aVariations
000203772 6531_ $$aUncertainty
000203772 6531_ $$aStatistical method
000203772 6531_ $$aRobustness
000203772 6531_ $$aTime scale
000203772 700__ $$0247540$$g240242$$aNik, Vahid
000203772 700__ $$aMata, Erika
000203772 700__ $$aSasic Kalagasidis, Angela
000203772 773__ $$j88$$tEnergy and Buildings$$q262-275
000203772 909C0 $$xU10262$$0252072$$pLESO-PB
000203772 909CO $$particle$$pENAC$$ooai:infoscience.tind.io:203772
000203772 917Z8 $$x105599
000203772 917Z8 $$x106442
000203772 937__ $$aEPFL-ARTICLE-203772
000203772 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000203772 980__ $$aARTICLE