Salah Imam|David Coley|Ian Walker
The building performance gap: Are modellers literate?
University of Bath|University of Bath|University of Bath
one discussed issues design community performance gap research investigate first time whether part gap might caused modelling literacy design teams total 108 building modellers asked comment importance obtaining using accurate values 21 common modelling input variables uvalues occupancy schedules using dynamic simulation estimate annual energy demand questioning based real building highresolution energy occupancy temperature data recorded sensitivity analysis conducted using model building based measured data perturbing one parameter simulation effect perturbation annual energy consumption given model found ranked list generated order list compared given modellers changes parameters correlation analysis indicated little correlation variables thought important modellers proved objectively important kmeans cluster analysis identified subgroups modellers showed 25 people tested making judgements appeared worse person responding random followup checks showed higher level qualifications many years experience modelling improve accuracy peoples predictions addition correlation modellers many ranking parameters important others thought irrelevant using threepart definition literacy concluded sample modellers implication population building modellers cannot considered modelling literate indicates new cause performance gap results suggest need opportunity industry universities increase efforts respect building physics education done part performance gap could rapidly closed practical application commercial simulation modeller decide parameters must included might ignored due lack time andor data much approximations might perturb results paper judgment 108 modellers compared results show internal mental models thermal modellers disagree one another disagree results validated thermal model lessons learnt great utility modellers educating next generation modellers