DOI: 10.5281/zenodo.7930116
title: Let's talk scalability: The current status of multi-domain thermal comfort models as support tools for the design of office buildings (Dataset v1.2.0)

description: <strong>THE PUBLICATION</strong> The data set provided is complementary to the thermal comfort review by Mamulova et al., 2023, titled "<strong>Let's talk scalability: The current status of multi-domain thermal comfort models as support tools for the design of office buildings</strong>". The scoping review examines 77 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. <strong>THE DATA</strong> 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. <strong>*** PLEASE NOTE ***</strong> <strong>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. </strong> <em>Citation</em> <em>Citation number used in Mamulova et al.,"Multi-Domain Thermal Comfort Models for Office Buildings: Are Current Practices Scalable?", (2023)</em> <em>E.g. 1</em> <em>First Author</em> <em>Surname of the main author, for reference purposes only.</em> <em>E.g. Al-Atrash</em> <em>Publication</em> <em>Publication year</em> <em>E.g. 2020</em> <em>Dependent A</em> <em>List of variables used to measure thermal perception</em> <em>E.g. Neutral temperature/ Thermal sensation</em> <em>Dependent B</em> <em>Scale used to measure each dependent variable</em> <em>Interaction A</em> <em>List of interaction effect(s) included in the explanatory/predictive model(s) </em> <em>E.g. Thermal and age/ Thermal and acoustical and personality</em> <em>Interaction B</em> <em>Is/are the effect(s) statistically significant?</em> <em>E.g. yes/ no/ (unknown)</em> <em>Crossed A</em> <em>List of crossed effect(s) included in the explanatory/predictive model(s) </em> <em>E.g. Acoustical/ Personality/ Age</em> <em>Crossed B</em> <em>*Note: Temperature is a main effect and is not included in the list</em> <em>Explanatory A</em> <em>Type of explanatory model</em> <em>E.g. Observation/ Statistical/ N/A</em> <em>Explanatory B</em> <em>Description of the explanatory model</em> <em>E.g. Asymptotic General Symmetry Test to check significance of difference in thermal perception between window conditions</em> <em>Predictive A</em> <em>Does the article include a predictive model?</em> <em>E.g. yes/ no</em> <em>Predictive B</em> <em>Type of predictive algorithm</em> <em>E.g. Logistic regression/ N/A</em> <em>Predictive C</em> <em>Description or formulation of the predictive model</em> <em>E.g. Probability of feeling too hot and probability of feeling too cold in relation to sound pressure level</em> <em>Performance</em> <em>Reported predictive performance</em> <em>E.g. Accuracy = 80%/ F-score = 0.8/ N/A</em> <em>Location</em> <em>City in which the measurements take place</em> <em>E.g. Paris</em> <em>Period</em> <em>Period over which the measurements take place</em> <em>E.g. Jan-Feb 2020</em> <em>Start time</em> <em>Time of day at which the measurements begin</em> <em>*Note: Time of day is not reported for most field studies. For this reason, time of day is only recorded for laboratory experiements.</em> <em>Study type</em> <em>Type of building and whether the experimental conditions are controlled by the experiment leader</em> <em>E.g. Field (controlled)/ Field (uncontrolled)/ Lab (controlled)/ Lab (uncontrolled)</em> <em>Building layout</em> <em>Building layout</em> <em>E.g. Laboratory office (LO)/ Laboratory neutral (LN)/ Field office (FO)</em> <em>Exposure</em> <em>Exposure of the participant, in minutes, to the experimental conditions, excluding preparation time</em> <em>*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.</em> <em>Number of buildings/chambers</em> <em>Number of different locations used for conducting measurements</em> <em>E.g. 1</em> <em>Number of participants</em> <em>Number of individuals who take part in each experiment</em> <em>*Note: Outliers who are subsequently excluded from the modelling phase are not included.</em> <em>Survey type</em> <em>Description of the type of survey used for subjective measurements</em> <em>E.g. Longitudinal questionnaire/ Transverse questionnaire/ N/A</em> <em>Survey content</em> <em>Are the contents of the survey provided in the article?</em> <em>E.g. Available/ unavailable</em> <em>Survey source</em> <em>Is/are the source(s) of the survey items mentioned in the article?</em> <em>E.g. Available/ unavailable</em> <em>Survey reliability</em> <em>Is the reliability of the survey items reported in the article?</em> <em>E.g. Available/ unavailable</em> <em>Survey duration</em> <em>Is the survey duration reported in the article?</em> <em>E.g. Available/ unavailable</em> <em>Context A</em> <em>Overview of the contextual information provided by the authors</em> <em>E.g. Room layout/ Room dimennsions</em> <em>Context B</em> <em>Qualitative/quantitative contextual information</em> <em>E.g. Figure containing room layout/ 3m x 3m x 5m</em> <em>Contextual variables A</em> <em>List of contextual variable(s) measured by the researchers (see Fig. A.)</em> <em>*Note: List of all variables mentioned in the article, including those that are not included in the explanatory/predictive models.</em> <em>Contextual variables B</em> <em>Range of values included in the experiment and their respective units.</em> <em>E.g. figure</em> <em>Social variables A</em> <em>List of social variable(s) measured by the researchers (see Fig. A.)</em> <em>*Note: List of all variables mentioned in the article, including those that are not included in the explanatory/predictive models.</em> <em>Social variables B</em> <em>Range of values included in the experiment and their respective units.</em> <em>E.g. [1,2,3,4,5]</em> <em>Personal variables A</em> <em>List of contextual variable(s) measured by the researchers (see Fig. A.)</em> <em>*Note: List of all variables mentioned in the article, including those that are not included in the explanatory/predictive models.</em> <em>Personal variables B</em> <em>Range of values included in the experiment and their respective units.</em> <em>E.g. [red, blue]</em> <em>Physical variables A</em> <em>List of physical variable(s) measured by the researchers (see Fig. A.)</em> <em>*Note: List of all variables mentioned in the article, including those that are not included in the explanatory/predictive models.</em> <em>Physical variables B</em> <em>Range of values included in the experiment and their respective units</em> <em>E.g. dB(A)</em> <em>Full-factorial</em> <em>Is/are the experiment(s) full-factorial?</em> <em>*Note: Uncontrolled field experiments are automatically labelled as fractional factorial.</em> <em>(Participant) Control</em> <em>Do participants have control over one or more experimental conditions?</em> <em>E.g. Yes/ No</em> <em>With/between subjects</em> <em>Are the experimental conditions shared between or within the participants?</em> <em>E.g. w/ b</em> <em>Fixed variables A</em> <em>List of variables reported as constant during the measurements</em> <em>E.g. Relative humidity/ Metabolic rate</em> <em>Fixed variables A</em> <em>(Range of) values and their respective units.</em> <em>E.g. 30-40%/ 1.2 met</em> <em>Summary</em> <em>Description of the research outome (outcome of the explanatory and/or predictive modelling)</em> <em>E.g. Lack of perceived control has a significant negative effect on neutral temperatures.</em> <em>Evaluation</em> <em>Are the participants invited to evaluate their experience once the experiment has been completed? </em> <em>E.g. Yes/ no</em> Note: The data in v1.1.0 has not yet been optimised for analytics.
description: v1.2.0 Removed: - E. Mamulova, H. W. Brink, M. G. L. C. Loomans, R. C. G. M. Loonen, and H. S. M. Kort, "A Multi-Domain Approach to Explanatory and Predictive Thermal Comfort Modelling in Offices," CLIMA, (2022). Added: - H. Lou and D. Ou, "A comparative field study of indoor environmental quality in two types of open-plan offices: Open-plan administrative offices and open-plan research offices," Build. Environ. 148, 394–404 (2019). - Z. Zhang, Y. Zhang, A. Khan, "A Comparison of Thermal Comfort of People from Buildings with Centralized Air-Conditioning Systems and Split Air-Conditioners", In: Z. Wang, Z. Zhu, Y. Wang, F. Wang, P. Wang, C. Shen, J. Liu. (eds) Proceedings of the 11th International Symposium on Heating, Ventilation and Air Conditioning (ISHVAC 2019). ISHVAC 2019. Environmental Science and Engineering, (2020).