A review of factors affecting occupant comfort in multi-unit residential buildings

Andargie, Maedot S.; Touchie, Marianne F.; O’Brien, William

doi:10.1016/j.buildenv.2019.106182

Cited by 114 publications

(117 citation statements)

References 118 publications

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“…For office buildings, primary parameters are temperature, humidity, CO 2 , CO, PM, VOCs, and microbial [ 101 ]. However, for residential buildings, more focus must be given to temperature, humidity, CO 2 , radon, and PM levels [ 102 , 103 , 104 ].…”

Section: Discussionmentioning

confidence: 99%

Indoor Air Quality Monitoring Systems Based on Internet of Things: A Systematic Review

Saini

Dutta

Marques

2020

IJERPH

116

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Indoor air quality has been a matter of concern for the international scientific community. Public health experts, environmental governances, and industry experts are working to improve the overall health, comfort, and well-being of building occupants. Repeated exposure to pollutants in indoor environments is reported as one of the potential causes of several chronic health problems such as lung cancer, cardiovascular disease, and respiratory infections. Moreover, smart cities projects are promoting the use of real-time monitoring systems to detect unfavorable scenarios for enhanced living environments. The main objective of this work is to present a systematic review of the current state of the art on indoor air quality monitoring systems based on the Internet of Things. The document highlights design aspects for monitoring systems, including sensor types, microcontrollers, architecture, and connectivity along with implementation issues of the studies published in the previous five years (2015–2020). The main contribution of this paper is to present the synthesis of existing research, knowledge gaps, associated challenges, and future recommendations. The results show that 70%, 65%, and 27.5% of studies focused on monitoring thermal comfort parameters, CO2, and PM levels, respectively. Additionally, there are 37.5% and 35% of systems based on Arduino and Raspberry Pi controllers. Only 22.5% of studies followed the calibration approach before system implementation, and 72.5% of systems claim energy efficiency.

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Section: Discussionmentioning

confidence: 99%

Indoor Air Quality Monitoring Systems Based on Internet of Things: A Systematic Review

Saini

Dutta

Marques

2020

IJERPH

116

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“…In general, the majority of the population spend significant-but fractional-time inside their houses and residential premises. This is evidenced to be over 65% of the time on average (Andargie et al, 2019;Brasche & Bischof, 2005;Klepeis et al, 2001). The time spent indoors in the residential indoor environment varies from country to country, depending on various factors that are not part of the scope of this study.…”

Section: Introductionmentioning

confidence: 95%

“…As it has been studied already, the indoor housing user satisfaction could vary based on various housing quality factors (ASHRAE, 2011;Bornehag et al, 2001;Cheung & Jim, 2019;Jacobs, 2019;Fernández-Agüera et al, 2019;Friesinger et al, 2019;Richardson et al, 2006;Takayanagi et al, 2011;Weidermann & Anderson, 1985; World Health Organization (WHO), 2018), such as physical characteristics of the housing environments and physical attributes (Altaş & Özsoy, 1988), indoor spatial arrangement (Sarkar & Bardhan, 2020) or spatial use in housing and living environments (Perin, 1970), indoor air quality and thermal comfort conditions (Cheshmehzangi & Butters, 2017;Lévesque et al, 2018;Patino & Siegel, 2018;Samuelson et al, 2020), lighting (De Abreu et al, 2020;Lai et al, 2009;Petteway, 2019;Zhen et al, 2019), acoustic (Alonso et al, 2020;Andargie et al, 2019;Basner et al, 2014;Dunn, 2020;Koetz, 1988;Kuerer, 1997;Stansfeld et al, 2000) specially from neighboring residential units (Ayr et al, 2003;Bodlund, 1985;Fields, 1993;Langdon et al, 1981) and mainly upper floors (Jeon, 2001;Jeon et al, 2006Jeon et al, , 2010, etc. Similarly, the studies of indoor environment dissatisfaction are quite popular in research, too.…”

Section: Introductionmentioning

confidence: 99%

Housing and health evaluation related to general comfort and indoor thermal comfort satisfaction during the COVID-19 lockdown

Cheshmehzangi

2020

Journal of Human Behavior in the Social Environment

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“…Occupant comfort is affected by various indoor environmental conditions, outdoor conditions, building characteristics, and occupant-related characteristics. However, thermal conditions and indoor air quality (IAQ) are identified as the most important factors for overall comfort in MURBs [1].…”

Section: Smart Ventilation Of Multi-unit Residential Buildingsmentioning

confidence: 99%

Humidity-Sensitive Demand-Controlled Ventilation Applied to Multi-Unit Residential Building – Performance and Energy Consumption in Dfb Continental Climate

Sowa¹,

Mijakowski²

2020

Preprint

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A humidity-sensitive demand-controlled ventilation system is known for many years. It has been developed and commonly applied in regions with an oceanic climate. Some attempts were made to introduce this solution in Poland in a much severe continental climate. The article evaluates this system's performance and energy consumption applied in an 8-floor multi-unit residential building, virtual reference building described by the National Energy Conservation Agency NAPE, Poland. The simulations using the computer program CONTAM were performed for the whole hating season for Warsaw's climate. Besides passive stack ventilation that worked as a reference, two versions of humidity-sensitive demand-controlled ventilation were checked. The difference between them lies in applying the additional roof fans that convert the system to hybrid. The study confirmed that the application of demand-controlled ventilation in multi-unit residential buildings in a continental climate with warm summer (Dfb) leads to significant energy savings. However, the efforts to ensure acceptable indoor air quality require hybrid ventilation, which reduces the energy benefits. It is especially visible when primary energy use is analyzed.

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A review of factors affecting occupant comfort in multi-unit residential buildings

Cited by 114 publications

References 118 publications

Indoor Air Quality Monitoring Systems Based on Internet of Things: A Systematic Review

Indoor Air Quality Monitoring Systems Based on Internet of Things: A Systematic Review

Housing and health evaluation related to general comfort and indoor thermal comfort satisfaction during the COVID-19 lockdown

Humidity-Sensitive Demand-Controlled Ventilation Applied to Multi-Unit Residential Building – Performance and Energy Consumption in Dfb Continental Climate

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