Thermal comfort of heterogeneous and dynamic indoor conditions — An overview

Mishra, Asit Kumar; Loomans, Mglc Marcel; Hensen, Jlm Jan

doi:10.1016/j.buildenv.2016.09.016

Cited by 117 publications

(46 citation statements)

References 234 publications

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“…In general, it is beneficial to have minimal control variation, stratification and temperature differential between indoor air and operative temperature [9]. Accounting for this, it can be concluded from Table 1 that the UFH is likely the emitter with the best performance.…”

Section: Resultsmentioning

confidence: 99%

Experimental study of radiator, underfloor, ceiling and air heater systems heat emission performance in TUT nZEB test facility

2019

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This paper reports the results of different heat emitter system measurements, which were carried out at the nZEB test facility near Tallinn University of Technology in early 2018. Radiators, underfloor heating, air heaters and radiant ceiling panels are studied as coupled with different control schemes ranging from ON-OFF to PI-type control. The objective is to assess and quantify the control accuracy and thermal comfort parameters among different configurations. Scheduled heating dummies are used to simulate internal heat gains within the otherwise unoccupied test rooms. Along with outdoor temperature variation, the heating demand is therefore constantly changing and the control systems are continuously adjusting the heat output to maintain the desired indoor air temperatures. Control accuracy is then determined from the temperature deviations against this set value. Air stratification within the room is assessed with vertical temperature gradient calculations from measured air temperatures at different heights. The operative temperature at the point of expected occupancy is calculated from surrounding air and enclosing surface temperatures. The quantified results provide a comprehensive comparison between the different system configurations, enabling further energy simulations in related software packages since these parameters directly influence the energy usage within a system.

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Section: Resultsmentioning

confidence: 99%

Experimental study of radiator, underfloor, ceiling and air heater systems heat emission performance in TUT nZEB test facility

2019

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“…Factors such as movement and others can cause variability in the data, which can have an effect on the potential to ascertain differences and trends, which then may appear due to changes in comfort level in the conditions studied, and on the potential to build alerts. Acclimatization, circadian rhythms, consumption of food/drinks, localization of climatization systems, individual physiology, age, fitness, sex may have some effect on comfort, and can be an argument in favour of more personalized thermal comfort designs [25]. Also, in favour of more personalized comfort strategies.…”

Section: Discussionmentioning

confidence: 99%

Application of heart rate variability for thermal comfort in office buildings in real-life conditions

Fernandez¹,

Lázaro²,

Arnaiz³

et al. 2018

Creative Construction Conference 2018 - Proceedings

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In the context of building energy efficiency, occupants' preferences can be considered as a source of information complementary to those in traditional building management systems (BMS). The general availability of wearable devices in recent years has increased interest in this ecosystem of technologies, as well as in their practical applications and those that can potentially derive from them. This study aims at investigating the applicability of wearable heart rate sensors for evaluating aspects of mood associated to stress/comfort, and in particular in relation to thermal comfort. A procedure for data gathering and analysis is proposed and tested in an office building in real-life conditions. First results show that no clear pattern of comfort vs. discomfort can be observed in data during testing. In addition, some of the challenges of applicability of the technique in real-life conditions are discussed in the study.

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“…In addition, they describe the issues about modelling isolated body segments for evaluating the sensitivity of different body zones and body extremities for various thermal environments. Mishra et al [27] include a section dealing with TS in non-uniform ambient, with details on local sensations and comfort. Schweiker et al [28] provide an overview of the scales used in studies in which TS scale, thermal preference scale, TC scale, thermal acceptance scale, and other scales are exploited.…”

Section: Introductionmentioning

confidence: 99%

Models and Indicators to Assess Thermal Sensation Under Steady-State and Transient Conditions

Enescu

2019

Energies

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The assessment of thermal sensation is the first stage of many studies aimed at addressing thermal comfort and at establishing the related criteria used in indoor and outdoor environments. The study of thermal sensation requires suitable modelling of the human body, taking into account the factors that affect the physiological and psychological reactions that occur under different environmental conditions. These aspects are becoming more and more relevant in the present context in which thermal sensation and thermal comfort are represented as objectives or constraints in a wider range of problems referring to the living environment. This paper first considers the models of the human body used in steady-state and transient conditions. Starting from the conceptual formulations of the heat balance equations, this paper follows the evolution occurred during the years to refine the models. This evolution is also marked by the availability of increasingly higher computational capability that enabled the researchers developing transient models with a growing level of detail and accuracy, and by the validation of the models through experimental studies that exploit advanced technologies. The paper then provides an overview of the indicators used to characterise the local and overall thermal sensation, indicating the relations with local and overall thermal comfort.

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Thermal comfort of heterogeneous and dynamic indoor conditions — An overview

Cited by 117 publications

References 234 publications

Experimental study of radiator, underfloor, ceiling and air heater systems heat emission performance in TUT nZEB test facility

Experimental study of radiator, underfloor, ceiling and air heater systems heat emission performance in TUT nZEB test facility

Application of heart rate variability for thermal comfort in office buildings in real-life conditions

Models and Indicators to Assess Thermal Sensation Under Steady-State and Transient Conditions

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