A review of human thermal comfort experiments in controlled and semi-controlled environments

Craenendonck, Stijn Van; Lauriks, Leen; Vuye, Cedric; Kampen, Jarl K.

doi:10.1016/j.rser.2017.10.053

Cited by 46 publications

(18 citation statements)

References 164 publications

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“…Previous research has shown that full adaptation to the thermal environment has occurred at this point. (Van Craenendonck et al, 2018).…”

Section: Resultsmentioning

confidence: 99%

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The effect of the position and temperature difference of local radiant asymmetry on thermal comfort: an experimental investigation

Craenendonck¹,

Lauriks²,

Vuye³

et al. 2018

Healthy, Intelligent and Resilient Buildings and Urban Environments

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In cold and moderate climates, poorly designed construction joints can lead to local low surface temperatures, which entails local radiant asymmetry. An experiment was set up to test the hypothesis that overall and local thermal sensation is influenced by temperature difference, and position and distance of local radiant asymmetry. In the experiment, 18 subjects participated where they were introduced in a room at 21°C and 45% relative humidity. The subjects were exposed to local radiant asymmetry created by a cooling plate. This plate was positioned at three different heights, and controlled for temperatures at 3, 6 or 10°C below room air temperature. The data was analyzed using general linear modelling.The results show that thermal sensation is not influenced by local radiant asymmetry directly, but that the deviation from base comfort level is linked to height and temperature of the cold plate, as well as distance of the plate to the subject. This last effect proved to be the strongest. Contrary to what was expected however, participants felt warmer when exposed to local radiant cooling, compared to when not exposed to it. Further research is needed to determine the cause of this effect.

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“…Previous research has shown that full adaptation to the thermal environment has occurred at this point. (Van Craenendonck et al, 2018).…”

Section: Resultsmentioning

confidence: 99%

“…The number of participants is lower than the average of 25 found in literature. (Van Craenendonck et al, 2018) Within these 18 participants, only 2 were female. Schellen et al found evidence for a significant difference in thermal response between men and women.…”

Section: Discussionmentioning

confidence: 99%

The effect of the position and temperature difference of local radiant asymmetry on thermal comfort: an experimental investigation

Craenendonck¹,

Lauriks²,

Vuye³

et al. 2018

Healthy, Intelligent and Resilient Buildings and Urban Environments

Self Cite

View full text Add to dashboard Cite

show abstract

“…In compliance with the mean value of subjects involved in experiments related to the analysis of TC found in literature [54], a sample of 25 participants was chosen: the aggregated data of users are listed in Table 3. All users are from South Europe: 12 females and 13 males.…”

Section: Sensor Variable Id In Figure 3 Measure Range Accuracymentioning

confidence: 99%

Evaluation of the Visual Stimuli on Personal Thermal Comfort Perception in Real and Virtual Environments Using Machine Learning Approaches

Salamone

Bellazzi

Belussi

et al. 2020

Sensors

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Personal Thermal Comfort models consider personal user feedback as a target value. The growing development of integrated “smart” devices following the concept of the Internet of Things and data-processing algorithms based on Machine Learning techniques allows developing promising frameworks to reach the best level of indoor thermal comfort closest to the real needs of users. The article investigates the potential of a new approach aiming at evaluating the effect of visual stimuli on personal thermal comfort perception through a comparison of 25 participants’ feedback exposed to a real scenario in a test cell and the same environment reproduced in Virtual Reality. The users’ biometric data and feedback about their thermal perception along with environmental parameters are collected in a dataset and managed with different Machine Learning techniques. The most suitable algorithm, among those selected, and the influential variables to predict the Personal Thermal Comfort Perception are identified. The Extra Trees classifier emerged as the most useful algorithm in this specific case. In real and virtual scenarios, the most important variables that allow predicting the target value are identified with an average accuracy higher than 0.99.

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“…In the building sciences, including the areas of indoor air quality [13,19,[24][25][26], dampness and mold [27], thermal comfort [5,[28][29][30][31][32], acoustics [6,33], green buildings [4,34,35], lighting [36,37], and indoor environmental quality (IEQ) [9,[38][39][40][41][42][43][44][45][46][47][48], chamber and field studies are the predominant experimental approaches for conducting human subject research relating measures of physical conditions to human outcomes. Typically, chambers are the dimensions of a small to medium-sized office and are equipped with building systems (e.g., ventilation system, lighting, sound masking) capable of maintaining stable experimental conditions.…”

Section: Experimental Design In Building Sciencementioning

confidence: 99%

The Spatial and Temporal Variability of the Indoor Environmental Quality during Three Simulated Office Studies at a Living Lab

et al. 2019

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The living lab approach to building science research provides the ability to accurately monitor occupants and their environment and use the resulting data to evaluate the impact that various components of the built environment have on human comfort, health, and well-being. A hypothesized benefit of the living lab approach is the ability to simulate the real indoor environment in an experimentally controlled setting over relatively long periods of time, overcoming a significant hurdle encountered in many chamber-type experimental designs that rarely reflect typical indoor environments. Here, we present indoor environmental quality measurements from a network of sensors as well as building system design and operational data demonstrating the ability of a living lab to realistically simulate a wide range of environmental conditions in an office setting by varying air temperature, lighting, façade control, and sound masking in a series of three human subject experiments. The temporal variability of thermal and lighting conditions was assessed on an hourly basis and demonstrated the significant impact of façade design and control on desk-level measurements of both factors. Additional factors, such as desk layout and building system design (e.g., luminaires, speaker system), also contributed significantly to spatial variability in air temperature, lighting, and sound masking exposures, and this variability was reduced in latter experiments by optimizing desk layout and building system design. While ecologically valid experimental conditions are possible with a living lab, a compromise between realism and consistency in participant experience must often be found by, for example, using an atypical desk layout to reduce spatial variability in natural light exposure. Based on the experiences from these three studies, experimental design and environmental monitoring considerations for future office-based living lab experiments are explored.

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A review of human thermal comfort experiments in controlled and semi-controlled environments

Cited by 46 publications

References 164 publications

The effect of the position and temperature difference of local radiant asymmetry on thermal comfort: an experimental investigation

The effect of the position and temperature difference of local radiant asymmetry on thermal comfort: an experimental investigation

Evaluation of the Visual Stimuli on Personal Thermal Comfort Perception in Real and Virtual Environments Using Machine Learning Approaches

The Spatial and Temporal Variability of the Indoor Environmental Quality during Three Simulated Office Studies at a Living Lab

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