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Published December 7, 2022 | Version 1.0.0
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Multi-Domain Thermal Comfort Models for Office Buildings: Are Current Practices Scalable? (Dataset)

Creators

  • 1. Eindhoven University of Technology, Department of the Built Environment, Building Performance, Eindhoven, Netherlands
  • 2. RWTH Aachen University, Medical Faculty, Institute for Occupational, Social and Environmental Medicine, Aachen, Germany

Description

THE PUBLICATION

The data set provided is complementary to the thermal comfort review by Mamulova et al., 2023, titled "Multi-Domain Thermal Comfort Models for Office Buildings: Are Current Practices Scalable?". The scoping review examines 76 multi-domain thermal comfort studies and initiates a discussion on model scalability; a model parameter which facilitates the understanding and prediction of thermal comfort conditions in real-world practice.

THE DATA

This database contains 27 scalability parameters per study which are used to analyse current research practices. For the results, please consult the review publication, as this database only contains raw data. For clarity, a legend of the scalability parameters is provided below.

*** PLEASE NOTE ***

This data set may be utilised, altered and/or expanded. However, you are kindly asked to cite this data set, the review publication (if applicable) and contact the corresponding author at eugenemamulova@gmail.com. 

Citation Citation number used in Mamulova et al.,"Multi-Domain Thermal Comfort Models for Office Buildings: Are Current Practices Scalable?", (2023) E.g. 1
First Author Surname of the main author, for reference purposes only. E.g. Al-Atrash
Publication Publication year E.g. 2020
Dependent A List of variables used to measure thermal perception E.g. Neutral  temperature/ Thermal sensation
Dependent B Scale used to measure each dependent variable  
Interaction A List of interaction effect(s) included in the explanatory/predictive model(s)  E.g. Thermal and age/ Thermal and acoustical and personality
Interaction B Is/are the effect(s) statistically significant? E.g. yes/ no/ (unknown)
Crossed A List of crossed effect(s) included in the explanatory/predictive model(s)  E.g. Acoustical/ Personality/ Age
Crossed B   *Note: Temperature is a main effect and is not included in the list
Explanatory A Type of explanatory model E.g. Observation/ Statistical/ N/A
Explanatory B Description of the explanatory model E.g. Asymptotic General Symmetry Test to check significance of difference in thermal perception between window conditions
Predictive A Does the article include a predictive model? E.g. yes/ no
Predictive B Type of predictive algorithm E.g. Logistic regression/ N/A
Predictive C Description or formulation of the predictive model E.g. Probability of feeling too hot and probability of feeling too cold in relation to sound pressure level
Performance Reported predictive performance E.g. Accuracy = 80%/ F-score = 0.8/ N/A
Location City in which the measurements take place E.g. Paris
Period Period over which the measurements take place E.g. Jan-Feb 2020
Start time Time of day at which the measurements begin *Note: Time of day is not reported for most field studies. For this reason, time of day is only recorded for laboratory experiements.
Study type Type of building and whether the experimental conditions are controlled by the experiment leader E.g. Field (controlled)/ Field (uncontrolled)/ Lab (controlled)/ Lab (uncontrolled)
Building layout Building layout E.g. Laboratory office (LO)/ Laboratory neutral (LN)/ Field office (FO)
Exposure Exposure of the participant, in minutes, to the experimental conditions, excluding preparation time *Note: Exposure is not reported for most field studies. For this reason, exposure is only recorded for laboratory experiements and is assumed to be longer than 60 minutes.
Number of buildings/chambers Number of different locations used for conducting measurements E.g. 1
Number of participants Number of individuals who take part in each experiment *Note: Outliers who are subsequently excluded from the modelling phase are not  included.
Survey type Description of the type of survey used for subjective measurements E.g. Longitudinal questionnaire/ Transverse questionnaire/ N/A
Survey content Are the contents of the survey provided in the article? E.g. Available/ unavailable
Survey source Is/are the source(s) of the survey items mentioned in the article? E.g. Available/ unavailable
Survey reliability Is the reliability of the survey items reported in the article? E.g. Available/ unavailable
Survey duration Is the survey duration reported in the article? E.g. Available/ unavailable
Context A Overview of the contextual information provided by the authors E.g. Room layout/ Room dimennsions
Context B Qualitative/quantitative contextual information E.g. Figure containing room layout/ 3m x 3m x 5m
Contextual variables A List of contextual variable(s) measured by the researchers (see Fig. A.) *Note: List of all variables mentioned in the article, including those that are not included in the explanatory/predictive models.
Contextual variables B Range of values included in the experiment and their respective units. E.g. figure
Social variables A List of social variable(s) measured by the researchers (see Fig. A.) *Note: List of all variables mentioned in the article, including those that are not included in the explanatory/predictive models.
Social variables B Range of values included in the experiment and their respective units. E.g. [1,2,3,4,5]
Personal variables A List of contextual variable(s) measured by the researchers (see Fig. A.) *Note: List of all variables mentioned in the article, including those that are not included in the explanatory/predictive models.
Personal variables B Range of values included in the experiment and their respective units. E.g. [red, blue]
Physical variables A List of physical variable(s) measured by the researchers (see Fig. A.) *Note: List of all variables mentioned in the article, including those that are not included in the explanatory/predictive models.
Physical variables B Range of values included in the experiment and their respective units E.g. dB(A)
Full-factorial Is/are the experiment(s) full-factorial? *Note: Uncontrolled field experiments are automatically labelled as fractional factorial.
Control Do participants have control over one or more experimental conditions? E.g. Yes/ No
With/between subjects Are the experimental conditions shared between or within the participants? E.g. w/ b
Fixed variables A List of variables reported as constant during the measurements E.g. Relative humidity/ Metabolic rate
Fixed variables A (Range of) values and their respective units. E.g. 30-40%/ 1.2 met
Summary Description of the research outome (outcome of the explanatory and/or predictive modelling) E.g. Lack of perceived control has a significant negative effect on neutral temperatures.
Evaluation Are the participants invited to evaluate their experience once the experiment has been completed?  E.g. Yes/ no

Note: The data in v1.0.0 has not yet been optimised for analytics.

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