2009
DOI: 10.1016/j.buildenv.2008.04.008
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A Bayesian Network approach to the evaluation of building design and its consequences for employee performance and operational costs

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Cited by 113 publications
(71 citation statements)
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“…It is suggested by Wyon that the thermal state of the body determines arousal thus also performance [32], therefore warm temperatures may reduce performance by inducing warm sensations [33][34]. Since air movement can offset warm temperatures and maintains occupants' thermal state close to neutral, it may maintain performance close to that at neutral temperatures.…”
Section: 226mentioning
confidence: 99%
“…It is suggested by Wyon that the thermal state of the body determines arousal thus also performance [32], therefore warm temperatures may reduce performance by inducing warm sensations [33][34]. Since air movement can offset warm temperatures and maintains occupants' thermal state close to neutral, it may maintain performance close to that at neutral temperatures.…”
Section: 226mentioning
confidence: 99%
“…Jensen et al [19] analysed the relationship between thermal sensation votes and workers' performance in different building designs through a Bayesian Network Approach and adopted a performance index to assess the economic impact of indoor environmental conditions, with particular attention to the effects of temperature on mental performance. Schiavon and Zecchin [28] underlined the importance of accounting for the relationship between IEQ and workers' performance in cost-benefit analyses, estimating that an increment of 1% of the work performance can payback the running annual energy cost.…”
Section: F1: Impact Of the Environmental Conditions On Workers' Perfomentioning
confidence: 99%
“…Jensen et al [15] describes a method to evaluate the effects of temperature on occupants' performance during a year in a mechanically ventilated building. It can be used to compare different building designs in order to evaluate the best performing design according to total economy (cost of investment, energy cost and productivity of the occupants).…”
Section: Estimated Influence On Occupants' Performancementioning
confidence: 99%
“…These data combined with a bayesian network model enables estimation of individual differences in how people are affected by the thermal environment even though they are exposed to identical conditions. Using the hourly temperature output from the simulations, the performance model of Jensen et al [15] was used to calculate a yearly performance index (PI), which describes the relative loss of performance. The PI describes the time-weighted performance of office employees in a given building design alternative and the ensuing thermal environment during the considered period.…”
Section: Estimated Influence On Occupants' Performancementioning
confidence: 99%