Thermal comfort beyond building design – an investigation in naturally ventilated residential apartments in a hot–dry climate

Rajasekar, E.; Udaykumar, Anupama; Venkateswaran, Rajan

doi:10.1080/17512549.2013.865553

Cited by 6 publications

(4 citation statements)

References 13 publications

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“…These Eqs. (19)(20)(21)(22)(23) are obtained as a system of ordinary differential equations and solved numerically using ODE45 in MATLAB. The room temperature is then calculated and reported on hourly basis.…”

Section: Figure 3 Configuration Of Building Wallmentioning

confidence: 99%

“…The role of local weather reports in dynamic simulation and performance indicators is discussed. The feasibility of postoccupancy strategies, namely ventilation strategies and adaptive occupancy patterns throughout the day during hotdry climate in naturally ventilated residential apartments has been investigated to improve the thermal comfort in [20]. The study reports a combined improvement of around 28 % in thermal comfort due to both strategies.…”

mentioning

confidence: 99%

“…results obtained through mathematical model, Eqs (19)(20)(21)(22)(23),. on-field data collection has been carried out.FIELD DATA COLLECTIONAn experimental investigation for determining the room temperature of LIG house has been carried out at each of the three seasons of the year; in summer 2016, post-monsoon 2016 and winter 2016.…”

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confidence: 99%

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A Mathematical Model Featuring Time Lag and Decrement Factor to Assess Indoor Thermal Conditions in Low-Income-Group House

Netam

Sanyal

Bhowmick

2020

Journal of Thermal Engineering

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Raipur, capital of Chhattisgarh state, India, is located at (21.18° N and 81.78° E). During summer season, the city experiences maximum temperature of 46 ºC. Residents resort to external cooling sources almost throughout the year for achieving thermal comfort. Therefore, thermal performance analysis of house is important to assess the temperature inside the house at different season. In present work, mathematical model of hourly temperature distribution in each room of the Low Income Group (LIG) house has been developed using time lag and decrement factor. A system of differential equations is derived and solved. The results obtained are validated with data collected onsite. The study is reported for three major seasons realized in Raipur. Deviation of room temperature from predefined thermal comfort has been calculated and reported for different season. The report reveals the lack of thermal comfort from the sets standards in post-monsoon and summer season.

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Section: Figure 3 Configuration Of Building Wallmentioning

confidence: 99%

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confidence: 99%

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A Mathematical Model Featuring Time Lag and Decrement Factor to Assess Indoor Thermal Conditions in Low-Income-Group House

Netam

Sanyal

Bhowmick

2020

Journal of Thermal Engineering

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“…The international thermal standards, such as ISO 7730 (2005) and the ASHRAE Standard 55-92 (ASHRAE, 1992), have utilised both approaches using Fanger PMV as well as Brager and De Dear (1998) adaptive theory in estimating thermal comfort and the adaptive behaviour. Post-occupancy strategies using simulations have been suggested, in which both adaptive occupancy pattern and natural ventilation are applied to improve thermal comfort (Rajasekar, Anupama, & Venkateswaran, 2014). Yet, some researchers argue that methods considering thermal comfort as a socio-cultural achievement instead of an engineering problem are more effective in exploring occupants' comfort and satisfaction (Healey & Webster-Mannison, 2012).…”

Section: Introductionmentioning

confidence: 99%

Thermal seasonal variation and occupants’ spatial behaviour in domestic spaces

Ibrahim

Ali

Abuhendi

et al. 2019

Building Research & Information

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Thermal comfort is essential for optimized performance of daily activities.Continuous variation in the thermal conditions of the environment influences humans' thermoregulation adaptive behaviour, in which people seek to find the most preferred places to move to. Detecting individuals' behaviour and correlated physical adaption measures can help in enhancing the built environment and minimizing energy consumption. Occupants' behaviour in buildings has been widely investigated, focusing largely on energy consumption, however fewer studies have examined the socio-economic aspects in domestic spaces. This study investigates the relationship between indoor thermal conditions of dwellings and occupants' adaptive behaviour in response to thermal seasonal variations. A field survey was conducted in a residential compound in Amman, Jordan, to detect occupants' spatial behaviour in 35 apartments in response to thermal seasonal changes. The results revealed that spatial behaviour was used as an effective adaptive thermoregulation technique, driven by socio-economic aspects. Seasonal thermal variation motivated occupants to move across their apartment seeking the most thermally preferred zones. The occupants' behaviour was based on achieving thermal satisfaction, and on their performed activity at the occupied zone. The developed model is based on family size and other family characteristics; and is proposed to optimize domestic spatial needs in apartment buildings.

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Reducing thermal discomfort and energy consumption of Indian residential buildings: Model validation by in-field measurements and simulation of low-cost interventions

Pellegrino

Simonetti

Chiesa

2016

Energy and Buildings

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Thermal comfort beyond building design – an investigation in naturally ventilated residential apartments in a hot–dry climate

Cited by 6 publications

References 13 publications

A Mathematical Model Featuring Time Lag and Decrement Factor to Assess Indoor Thermal Conditions in Low-Income-Group House

A Mathematical Model Featuring Time Lag and Decrement Factor to Assess Indoor Thermal Conditions in Low-Income-Group House

Thermal seasonal variation and occupants’ spatial behaviour in domestic spaces

Reducing thermal discomfort and energy consumption of Indian residential buildings: Model validation by in-field measurements and simulation of low-cost interventions

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