Examining Occupant-Comfort Responses to Indoor Humidity Ratio in Conventional and Vernacular Dwellings: A Rural Indian Case Study

Optimum indoor humidity is often associated with comfort and overall well-being. Occupant comfort is often evaluated with a focus on “thermal comfort” using the PMV (predicted mean vote), PDD (predicted percentage of dissatisfied), and adaptive thermal comfort models. Humidity-determined comfort par...

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Main Authors: Suchi Priyadarshani, Roshan R. Rao, Monto Mani, Daniel Maskell
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/16/19/6843
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author Suchi Priyadarshani
Roshan R. Rao
Monto Mani
Daniel Maskell
author_facet Suchi Priyadarshani
Roshan R. Rao
Monto Mani
Daniel Maskell
author_sort Suchi Priyadarshani
collection DOAJ
description Optimum indoor humidity is often associated with comfort and overall well-being. Occupant comfort is often evaluated with a focus on “thermal comfort” using the PMV (predicted mean vote), PDD (predicted percentage of dissatisfied), and adaptive thermal comfort models. Humidity-determined comfort parameters, like skin and respiratory comfort, are well acknowledged in the scientific community, but strangely not considered for indoor comfort computations. This study proposes a new computational approach for describing and evaluating humidity-related skin comfort in buildings using skin temperature, evaporative loss, and skin wettedness as critical parameters. The Development and validation of the computational model was demonstrated through a case study in a rural Indian context. The case study involves real-time monitoring of indoor environmental parameters and humidity-determined occupant comfort votes recorded through a novel aggregated humidity comfort vote method. The simulation results were compared with the community comfort/health survey. It was observed that, even at neutral skin temperatures, an increase in skin wettedness increases the thermal sensation vote. Clothing varies according to gender, community, and personal preferences, influencing physiological parameters which determine comfort. The acceptable humidity ratio was found to be in the range of 17.4 to 22.6 g-wv/kg-da for Indian participants. Including humidity-related comfort parameters in building simulation tools would aid in selecting building materials for improved indoor comfort.
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spelling doaj.art-f3a4132fd27a42e8ad0b0b2f68f18c812023-11-19T14:19:37ZengMDPI AGEnergies1996-10732023-09-011619684310.3390/en16196843Examining Occupant-Comfort Responses to Indoor Humidity Ratio in Conventional and Vernacular Dwellings: A Rural Indian Case StudySuchi Priyadarshani0Roshan R. Rao1Monto Mani2Daniel Maskell3Centre for Sustainable Technologies, Indian Institute of Science, Bangalore 560012, IndiaCentre for Sustainable Technologies, Indian Institute of Science, Bangalore 560012, IndiaCentre for Sustainable Technologies, Indian Institute of Science, Bangalore 560012, IndiaDepartment of Architecture & Civil Engineering, BRE Centre in Innovative Construction Materials (BRE CICM), University of Bath, Bath BA2 7AY, UKOptimum indoor humidity is often associated with comfort and overall well-being. Occupant comfort is often evaluated with a focus on “thermal comfort” using the PMV (predicted mean vote), PDD (predicted percentage of dissatisfied), and adaptive thermal comfort models. Humidity-determined comfort parameters, like skin and respiratory comfort, are well acknowledged in the scientific community, but strangely not considered for indoor comfort computations. This study proposes a new computational approach for describing and evaluating humidity-related skin comfort in buildings using skin temperature, evaporative loss, and skin wettedness as critical parameters. The Development and validation of the computational model was demonstrated through a case study in a rural Indian context. The case study involves real-time monitoring of indoor environmental parameters and humidity-determined occupant comfort votes recorded through a novel aggregated humidity comfort vote method. The simulation results were compared with the community comfort/health survey. It was observed that, even at neutral skin temperatures, an increase in skin wettedness increases the thermal sensation vote. Clothing varies according to gender, community, and personal preferences, influencing physiological parameters which determine comfort. The acceptable humidity ratio was found to be in the range of 17.4 to 22.6 g-wv/kg-da for Indian participants. Including humidity-related comfort parameters in building simulation tools would aid in selecting building materials for improved indoor comfort.https://www.mdpi.com/1996-1073/16/19/6843humidity ratiothermal comfortskin comfortindoor air qualityskin temperatureGagge 2-node model
spellingShingle Suchi Priyadarshani
Roshan R. Rao
Monto Mani
Daniel Maskell
Examining Occupant-Comfort Responses to Indoor Humidity Ratio in Conventional and Vernacular Dwellings: A Rural Indian Case Study
Energies
humidity ratio
thermal comfort
skin comfort
indoor air quality
skin temperature
Gagge 2-node model
title Examining Occupant-Comfort Responses to Indoor Humidity Ratio in Conventional and Vernacular Dwellings: A Rural Indian Case Study
title_full Examining Occupant-Comfort Responses to Indoor Humidity Ratio in Conventional and Vernacular Dwellings: A Rural Indian Case Study
title_fullStr Examining Occupant-Comfort Responses to Indoor Humidity Ratio in Conventional and Vernacular Dwellings: A Rural Indian Case Study
title_full_unstemmed Examining Occupant-Comfort Responses to Indoor Humidity Ratio in Conventional and Vernacular Dwellings: A Rural Indian Case Study
title_short Examining Occupant-Comfort Responses to Indoor Humidity Ratio in Conventional and Vernacular Dwellings: A Rural Indian Case Study
title_sort examining occupant comfort responses to indoor humidity ratio in conventional and vernacular dwellings a rural indian case study
topic humidity ratio
thermal comfort
skin comfort
indoor air quality
skin temperature
Gagge 2-node model
url https://www.mdpi.com/1996-1073/16/19/6843
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