Occupant Responses and Office Work Performance in Environments with Moderately Drifting Operative Temperatures (RP-1269)

Kolařík, Jakub; Toftum, Jørn; Olesen, Bjarne W.; Shitzer, Avraham

doi:10.1080/10789669.2009.10390873

Cited by 51 publications

(39 citation statements)

References 8 publications

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“…As the metabolic rate of human subjects prior to the laboratory exposure tends to be higher than the one expected during exposure (for all included studies 1.2 met), each of the original studies included pre-exposure of 30 minutes in a constant temperature environment to dissipate any residual metabolic heat resulting from previous activity of the subjects. However, as discussed for example in the paper of Kolarik et al [25], subject's metabolic rate tended to decrease even after the pre-exposure period. In the studies of Kolarik et al [25] and Toftum et al [27] a method for adjustment of TSV votes, originally applied by Knudsen et al [51], was used to eliminate that effect.…”

Section: Discussion On Methodologymentioning

confidence: 95%

“…Table 3 shows that while intercept for linear relationship was significantly different from zero for all studied data sets, the slope of the relationship was not significantly different from zero in any case. The type of exergy model (Ex or Ex-st) significantly influenced the intercept of the relationship only for the data by Kolarik et al [25]. For that data the intercept was significantly higher for Ex-st model; however the increase was very small (0.056 W/m 2 ).…”

Section: Figure 3 -Ex-st (Diamonds With Dashed Regression Lines) and mentioning

confidence: 88%

“…The study of Toftum et al [27] was conducted in the same experimental set-up as the study of [25]. However, subjects were allowed to arbitrarily modify their clothing to keep thermal neutrality.…”

Section: Details Regarding Studies That Provided Original Data Setsmentioning

confidence: 99%

“…Subjects performed simulated office work and regularly filled out questionnaires dealing with thermal comfort, air quality and health related symptoms. The questionnaire set was the same as in the case of the study by [25]. In addition, subjects had to indicate every change of clothing using a separate part of the questionnaire.…”

Section: Details Regarding Studies That Provided Original Data Setsmentioning

confidence: 99%

“…This was done by comparing human thermal sensation data measured in three laboratory studies [25,26,27] with calculated human body exergy consumption rates calculated for the thermal conditions form aforementioned studies. The studies focused on thermal comfort of human subjects exposed to drifts of operative temperature.…”

Section: Introductionmentioning

confidence: 99%

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Unsteady-state human-body exergy consumption rate and its relation to subjective assessment of dynamic thermal environments

Schweiker

Kolařík

Dovjak

et al. 2016

Energy and Buildings

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Document Version Peer reviewed version Link back to DTU Orbit Citation (APA):Schweiker, M., Kolarik, J., Dovjak, M., & Shukuya, M. (2016). Unsteady-state human-body exergy consumption rate and its relation to subjective assessment of dynamic thermal environments. Energy and Buildings, 116, 164-180. DOI: 10.1016/j.enbuild.2016. ABSTRACTFew examples studied applicability of exergy analysis on human thermal comfort. These examples relate the human-body exergy consumption rate with subjectively obtained thermal sensation votes and had been based on steady-state calculation methods. However, humans are rarely exposed to steady-state thermal environments. Therefore, the first objective of the current paper was to compare a recently introduced unsteady-state model with previously used steady-state model using data obtained under both constant and transient temperature conditions. The second objective was to explore a relationship between the human-body exergy consumption rate and subjective assessment of thermal environment represented by thermal sensation as well as to extend the investigation towards thermal acceptability votes. Comparison of steady-state and unsteady-state model showed that results from both models were comparable when applied to data from environments with constant operative temperature. In contrast, when applied to data with temperature transients the prediction of particular models differed significantly and the unsteady-state model resulted in better prediction of mean skin temperature. The results of the present study confirmed previously indicated trends that lowest human body exergy consumption rate is associated with thermal sensation close to neutrality. Moreover, higher acceptability was in general associated with lower human body exergy consumption rate.

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Section: Discussion On Methodologymentioning

confidence: 95%

Section: Figure 3 -Ex-st (Diamonds With Dashed Regression Lines) and mentioning

confidence: 88%

Section: Details Regarding Studies That Provided Original Data Setsmentioning

confidence: 99%

Section: Details Regarding Studies That Provided Original Data Setsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Unsteady-state human-body exergy consumption rate and its relation to subjective assessment of dynamic thermal environments

Schweiker

Kolařík

Dovjak

et al. 2016

Energy and Buildings

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Improved Personalized Comfort: A Necessity for a Smart Building

Zeiler

Boxem

Vissers

2013

Sustainability in Energy and Buildings

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Implementation of multivariate linear mixed-effects models in the analysis of indoor climate performance experiments

Jensen¹,

Spiild

Toftum

2011

Int J Biometeorol

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The aim of the current study was to apply multivariate mixed-effects modeling to analyze experimental data on the relation between air quality and the performance of office work. The method estimates in one step the effect of the exposure on a multi-dimensional response variable, and yields important information on the correlation between the different dimensions of the response variable, which in this study was composed of both subjective perceptions and a two-dimensional performance task outcome. Such correlation is typically not included in the output from univariate analysis methods. Data originated from three different series of experiments investigating the effects of air quality on performance. The example analyses resulted in a significant and positive correlation between two performance tasks, indicating that the two tasks to some extent measured the same dimension of mental performance. The analysis seems superior to conventional univariate statistics and the information provided may be important for the design of performance experiments in general and for the conclusions that can be based on such studies.

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Occupant Responses and Office Work Performance in Environments with Moderately Drifting Operative Temperatures (RP-1269)

Cited by 51 publications

References 8 publications

Unsteady-state human-body exergy consumption rate and its relation to subjective assessment of dynamic thermal environments

Unsteady-state human-body exergy consumption rate and its relation to subjective assessment of dynamic thermal environments

Improved Personalized Comfort: A Necessity for a Smart Building

Implementation of multivariate linear mixed-effects models in the analysis of indoor climate performance experiments

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