A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A systematic review of personal thermal comfort models
https://orcid.org/0000-0003-3224-8556
https://orcid.org/0000-0003-1397-8414
https://orcid.org/0000-0002-4917-4082
Abstract Personal comfort models have shown to predict specific thermal comfort requirements more accurately than aggregate models, increasing occupant acceptability and associated energy benefits in both shared and single-occupant built environment. Although advances in the field of personal thermal comfort models are undeniable, there is still a lack of thorough and critical reviews of the current state of research in this field, especially considering the details of the predictive modeling process involved. This study has systematically reviewed 37 papers from over 100 academic publications on personal comfort models from the last two decades, and examined: (1) the data collection approach and dataset size, (2) number and type of participants involved, (3) climate, seasons and type of building involved, (4) model input and output variables, (5) modeling algorithm used, (6) performance indicator used, and (7) model final application. The review has identified a lack of diversity in building types, climates zones, seasons and participants involved in developing personal comfort models. It has also highlighted a lack of a unified and systematic framework for modeling development and evaluation, which currently hinders comparisons between studies. With most of the studies using machine learning techniques, the review has pointed to the challenges of “black box” models in the field. Finally, the review has indicated that personal input features using physiological sensing technologies can be further explored, especially considering the rapid advances seen today in wearable sensor technologies.
Highlights 37 publications were selected for final analysis. Lack of diversity in building types, climates zones and participants in studies. Personal thermal comfort modeling can comprise of a variety of techniques. Future research should focus on a uniform personal comfort modeling framework.
A systematic review of personal thermal comfort models
https://orcid.org/0000-0003-3224-8556
https://orcid.org/0000-0003-1397-8414
https://orcid.org/0000-0002-4917-4082
Abstract Personal comfort models have shown to predict specific thermal comfort requirements more accurately than aggregate models, increasing occupant acceptability and associated energy benefits in both shared and single-occupant built environment. Although advances in the field of personal thermal comfort models are undeniable, there is still a lack of thorough and critical reviews of the current state of research in this field, especially considering the details of the predictive modeling process involved. This study has systematically reviewed 37 papers from over 100 academic publications on personal comfort models from the last two decades, and examined: (1) the data collection approach and dataset size, (2) number and type of participants involved, (3) climate, seasons and type of building involved, (4) model input and output variables, (5) modeling algorithm used, (6) performance indicator used, and (7) model final application. The review has identified a lack of diversity in building types, climates zones, seasons and participants involved in developing personal comfort models. It has also highlighted a lack of a unified and systematic framework for modeling development and evaluation, which currently hinders comparisons between studies. With most of the studies using machine learning techniques, the review has pointed to the challenges of “black box” models in the field. Finally, the review has indicated that personal input features using physiological sensing technologies can be further explored, especially considering the rapid advances seen today in wearable sensor technologies.
Highlights 37 publications were selected for final analysis. Lack of diversity in building types, climates zones and participants in studies. Personal thermal comfort modeling can comprise of a variety of techniques. Future research should focus on a uniform personal comfort modeling framework.
A systematic review of personal thermal comfort models
https://orcid.org/0000-0003-3224-8556
https://orcid.org/0000-0003-1397-8414
https://orcid.org/0000-0002-4917-4082
Abstract Personal comfort models have shown to predict specific thermal comfort requirements more accurately than aggregate models, increasing occupant acceptability and associated energy benefits in both shared and single-occupant built environment. Although advances in the field of personal thermal comfort models are undeniable, there is still a lack of thorough and critical reviews of the current state of research in this field, especially considering the details of the predictive modeling process involved. This study has systematically reviewed 37 papers from over 100 academic publications on personal comfort models from the last two decades, and examined: (1) the data collection approach and dataset size, (2) number and type of participants involved, (3) climate, seasons and type of building involved, (4) model input and output variables, (5) modeling algorithm used, (6) performance indicator used, and (7) model final application. The review has identified a lack of diversity in building types, climates zones, seasons and participants involved in developing personal comfort models. It has also highlighted a lack of a unified and systematic framework for modeling development and evaluation, which currently hinders comparisons between studies. With most of the studies using machine learning techniques, the review has pointed to the challenges of “black box” models in the field. Finally, the review has indicated that personal input features using physiological sensing technologies can be further explored, especially considering the rapid advances seen today in wearable sensor technologies.
Highlights 37 publications were selected for final analysis. Lack of diversity in building types, climates zones and participants in studies. Personal thermal comfort modeling can comprise of a variety of techniques. Future research should focus on a uniform personal comfort modeling framework.
A systematic review of personal thermal comfort models
Arakawa Martins, Larissa (author) / Soebarto, Veronica (author) / Williamson, Terence (author)
Building and Environment ; 207
2021-10-23
Article (Journal)
Electronic Resource
English