AN INTEGRATED ADAPTIVE MODEL FOR OVERHEATING RISK PREDICTION
Based on results from a field survey campaign, thispaper describes three new developments which have been integrated to provide for a comprehensive basisfor the evaluation of overheating risk in offices.Firstly, a set of logistic regression equations have been derived to predict the probability of officeoccupants adaptation of personal and environmentalcharacteristics. Secondly, empirical adaptiveincrements (offsets in comfort temperature) have beenderived for each of these modes of adaptation. Thirdly,these adaptive increments are used to derive adapteddegree-days of overheating stimuli for input to a newmodel to predict overheating risk. Based on analogybetween the charging and discharging of humanstolerance to overheating stimuli and that of charge inan electrical capacitor, this analytical model usesempirical coefficients to tune its (dis)charging timeconstants to a given population and situation. Thispaper introduces these developments and discussesscope for their further development.
Thermal comfort overheating risk adaptive actions empirical adaptive increments integration.
Darren Robinson Frédéric Haldi
Solar Energy and Building Physics Laboratory (LESO-PB), Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.
国际会议
北京
英文
2007-09-03（万方平台首次上网日期，不代表论文的发表时间）