TY - JOUR
T1 - A Bayesian Network approach to the evaluation of building design and its consequences for employee performance and operational costs
AU - Jensen, Kasper Lynge
AU - Toftum, Jørn
AU - Friis-Hansen, Peter
PY - 2009
Y1 - 2009
N2 - A Bayesian Network approach has been developed that can compare different building designs by
estimating the effects of the thermal indoor environment on the mental performance of office workers.
A part of this network is based on the compilation of subjective thermal sensation data and the
associated objective thermal measurements from 12,000 office occupants from different parts of the
world. A Performance Index (P) is introduced that can be used to compare directly the different
building designs and furthermore to assess the total economic consequences of the indoor climate with
a specific building design. In this paper, focus will be on the effects of temperature on mental
performance and not on other indoor climate factors. A total economic comparison of six different
building designs, four located in northern Europe and two in Los Angeles, USA, was performed. The
results indicate that investments in improved indoor thermal conditions can be justified economically
in most cases. The Bayesian Network provides a reliable platform using probabilities for modelling the
complexity while estimating the effect of indoor climate factors on human beings, due to the different
ways in which humans are affected by the indoor climate.
AB - A Bayesian Network approach has been developed that can compare different building designs by
estimating the effects of the thermal indoor environment on the mental performance of office workers.
A part of this network is based on the compilation of subjective thermal sensation data and the
associated objective thermal measurements from 12,000 office occupants from different parts of the
world. A Performance Index (P) is introduced that can be used to compare directly the different
building designs and furthermore to assess the total economic consequences of the indoor climate with
a specific building design. In this paper, focus will be on the effects of temperature on mental
performance and not on other indoor climate factors. A total economic comparison of six different
building designs, four located in northern Europe and two in Los Angeles, USA, was performed. The
results indicate that investments in improved indoor thermal conditions can be justified economically
in most cases. The Bayesian Network provides a reliable platform using probabilities for modelling the
complexity while estimating the effect of indoor climate factors on human beings, due to the different
ways in which humans are affected by the indoor climate.
KW - Total building economics
KW - Bayesian Network
KW - Indoor Climate
KW - Temperature
KW - Performance
U2 - 10.1016/j.buildenv.2008.04.008
DO - 10.1016/j.buildenv.2008.04.008
M3 - Journal article
SN - 0360-1323
VL - 44
SP - 456
EP - 462
JO - Building and Environment
JF - Building and Environment
IS - 3
ER -