Broadening human thermal comfort range based on short-term heat acclimation

Chong, Daokun; Zhu, Neng; Luo, Wei; Zhang, Zhiyu

doi:10.1016/j.energy.2019.04.007

Cited by 19 publications

(8 citation statements)

References 27 publications

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“…Overall, the comfort temperature was found to be lower for females in comparison to males, which agrees with the published literature, regardless of the ethnic origins of the tested people and/or the country of origin [7,12,13]. The adaptive control system presented in this work covers thermal sensation and comfort under stable and transient conditions [14][15][16][17][18]. Such a proposed system can be applied in critical places such as hospitals and chemical plants Biometric recognition is a recognition technique that employs physical or behavioural characteristics of the human body to identify a person [19].…”

Section: Introductionsupporting

confidence: 87%

Adaptive gender-based thermal control system

Al-Nabulsi

Badr

2021

IJECE

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A closed loop adaptive gender-based thermal control system (AG-TCS) is designed, modelled, analysed and tested. The system has the unique feature of adapting to the surrounding environment as a function of the number of humans present and the gender ratio. The operation of the system depends on a unique interface between a radio frequency identification (RFID) device and an imaging device, both of which are correlated and interfaced to a controller. Testing of the system resulted in smooth transition and shape conversion of the response curve, which proved its adaptability. Three mathematical equations describing the internal mechanisms of the AG-TCS are presented and have been proven to optimally reflect the original statistical data covering both genders.

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Section: Introductionsupporting

confidence: 87%

Adaptive gender-based thermal control system

Al-Nabulsi

Badr

2021

IJECE

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“…Chong et al [42] show that wide thermal comfort zones guarantee a reduction in energy consumption, but the purpose of this work was just to demonstrate them, since the research was carried out during the winter and the classrooms did not have heating systems, making it impossible to calculate the energy saving. The methodology used here can be replicated in indoor environments under similar conditions, guaranteeing the extrapolation of data.…”

Section: Study Limitationsmentioning

confidence: 99%

“…Maiti [37] did the same when it was tested whether the PMV was good for the Indians or not. Chong et al [42] tested whether acclimation to short-term heat acclimation was an effective method for increasing occupant acceptance of hot environments. Zhang, de Dear and Candido [40] tested temperature cycles induced by direct charge control strategies and proposed a curve of dissatisfied.…”

Section: Introductionmentioning

confidence: 99%

Determination of Thermal Comfort Zones through Comparative Analysis between Different Characterization Methods of Thermally Dissatisfied People

Pereira

Broday

2021

Buildings

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In order to maintain thermal comfort and preserve indoor environmental quality, people use heating, ventilation and air-conditioning (HVAC) systems inside buildings. However, buildings must be prepared not only to provide adequate thermal comfort to their occupants but also to align strategies that enable better energy performance. Thus, this work aimed to establish thermal comfort zones (TCZ) through different characterization methods of thermally dissatisfied people. Responses were collected from 481 students, through the application of questionnaires in classrooms, during the Brazilian winter of 2019. Three methods for determining the actual percentage of dissatisfied (APD) were adopted, which generated three different equations, namely: APD_1; APD_2 and APD_3, based on the original Predicted Percentage of Dissatisfied (PPD) equation. By using the probit model, three TCZ were calculated: 17.73–22.4 °C (APD_1); 20.71–20.93 °C (APD_2) and 17.89–24.83 °C (APD_3). In addition, a comfort zone based on the linear regression between the thermal sensation votes and the operative temperature was determined (18.77–22.69 °C). All thermal comfort zones resulting from this work have colder temperatures than that indicated by the American Society of Heating, Refrigerating and Air-Conditioning Engineers - ASHRAE (2017) of 23–26 °C for the winter, showing the potential for energy savings from the adoption of this type of strategy, while maintaining thermal comfort.

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“…The thermal comfort of the population affects multiple aspects of life and directly and indirectly contributes to the well-being of the population [8]. In particular, outdoor thermal comfort (OTC) is a key indicator of people's well-being, productivity, and happiness in general [9][10][11]. Therefore, in this work, we concentrate on OTC as a key indicator of people's well-being and acknowledge its contribution to key performance indicators of a city.…”

Section: Introductionmentioning

confidence: 99%

“…The rational indices are based on heat transfer and energy balance principles of a typical human body in relation to its physical environment [13]. The second type of indices is based on empirical studies of the subjective experience of OTC in relation to meteorological phenomena [9,10]. While rational indices are based on fundamentals of physics and bio-meteorology, thereby making them more favorable than their empirical counterparts, they may be more complicated and less intuitive to understand.…”

Section: Introductionmentioning

confidence: 99%

Urban Climate Risk Mitigation via Optimal Spatial Resource Allocation

Nevat¹,

Mughal

2022

Atmosphere

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Decision makers (DMs) who are involved in urban planning are often required to allocate finite resources (say, money) to improve outdoor thermal comfort (OTC) levels in a region (e.g., city, canton, country). In this paper, for the first time, we address the following two questions, which are directly related to this requirement: (1) How can the statistical properties of the spatial risk profile of an urban area from an OTC perspective be quantified, no matter which OTC index the DM chooses to use? (2) Given the risk profile, how much and where should the DM allocate the finite resources to improve the OTC levels? We answer these fundamental questions by developing a new and rigorous mathematical framework as well as a new class of models for spatial risk models. Our approach is based on methods from machine learning: first, a surrogate model of the OTC index that provides both accuracy and mathematical tractability is developed via regression analysis. Next, we incorporate the imperfect climate model and derive the statistical properties of the OTC index. We present the concept of spatio-temporal aggregate risk (STAR) measures and derive their statistical properties. Finally, building on our derivations, we develop a new algorithm for spatial resource allocation, which is useful for DMs and is based on modern portfolio theory. We implemented the tool and used it to illustrate its operation on a practical case of the large-scale area of Singapore using a WRF climate model.

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Broadening human thermal comfort range based on short-term heat acclimation

Cited by 19 publications

References 27 publications

Adaptive gender-based thermal control system

Adaptive gender-based thermal control system

Determination of Thermal Comfort Zones through Comparative Analysis between Different Characterization Methods of Thermally Dissatisfied People

Urban Climate Risk Mitigation via Optimal Spatial Resource Allocation

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