IMPACTS OF BUILDING FUNCTION ON NORMALIZED-STEAM CONSUMPTION:ANALYSIS OF FLOOR AREA NORMALIZATION VERSUS LINEAR REGRESSION ON HEATING DEGREE-DAYS IN A HEATING-DOMINATED CLIMATE  

作　　者：Mahsa Farid Mohajer Ajla Aksamija 

机构地区：[1]Department of Environmental Conservation,University of Massachusetts Amherst [2]School of Architecture,University of Utah,375 South 1530 East,Suite 235,Salt Lake City,UT 84112

出　　处：《Journal of Green Building》2021年第3期73-85,共13页绿色建筑学报（英文）

摘　　要：Linear regression analysis is one the most common methods for weather-normalizing energy data,where energy versus degree-days is plotted,quantifying the impacts of outside temperature on buildings’energy use.However,this approach solely con-siders dry-bulb temperature,while other climate variables are ignored.In addition,depending on buildings’internal loads,weather impact can be less influential,making the linear regression method not applicable for energy data normalization in inter-nally driven buildings(such as research laboratory buildings,healthcare facilities,etc.).In this study,several existing buildings from different categories,all located on the University of Massachusetts Amherst campus and exposed to the same weather conditions in a heating-dominated climate,were analyzed.For all cases,regression of monthly steam use on heating degree-days and floor-area normalized steam data were used,investigating applicability of the former when the latter changes.It was found that internal loads can skew steam consumption,depending on the build-ing functionality,making the effect of degree-days negligible.For laboratory-type buildings,besides heating and domestic hot water production,steam is also used for scientific experiments.Here,daily occupancy percentage,even during weekends and holidays,was higher than that of other buildings,indicating the intensity of scientific experiments performed.This significantly impacted steam consumption,resulting in higher floor-area-normalized steam usage.In these cases,steam use did not provide an outstanding correlation to heating degree-days.Whereas,for cases with other func-tionality-types and lower floor-area normalized steam,coefficients of determination in regressions were high.This study concludes that even for buildings located in the same climate,depending on how building functionality and occupancy schedule influ-ence floor-area normalized steam use,multivariate linear regression can provide more accurate analysis,rather than simple linear regression of steam on

关 键 词：linear regression weather normalization heating degree-days heating loads internal loads steam consumption energy usage 

分 类 号：O17[理学—数学]