Experimental investigation about thermal effect of colour on thermal sensation and comfort

Wu, Haiying; Liu, Guodan; Hu, Songtao; Liu, Chao

doi:10.1016/j.enbuild.2018.06.008

Cited by 51 publications

(28 citation statements)

References 38 publications

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“…In addition, these differences have not to be attributed to aleatory phenomena, but are statistically significant as confirmed by the verification of the t-test P(t≤T)<P(μ=0.10) for the overall sample and for each gender. [12] and similarly to what found by Wang et al [14] our findings seem to demonstrate that CCT is associated with thermal sensation even under incipient warm discomfort conditions. Particularly, with reference to the sample as a whole, for the light scene at 3000 K, the thermal sensation by questionnaires is typical of slightly warm conditions (mean TSV=0.74 on the edge of class C comfort zone [18]) with a percentage of persons who voted a TSV≥1 equal to 59% (see table 4).…”

Section: Resultssupporting

confidence: 91%

“…A reasonable explanation for the disagreement with Toftum et al's findings [12] could be the choice of the illuminance rate. Unlike Danish team who worked at 1000 lx (a common value for health care or special industrial tasks) and similarly to Wang et al investigation [14], the present study has been carried out at 300 lux which is a typical value for some educational tasks [15].…”

Section: Resultsmentioning

confidence: 99%

“…As also remarked by Huebner et al [13] and by Wang et al [14] in two more recent papers, existing research is ambiguous regarding the association between coloured light/indoor surfaces and thermal perception. In addition, the different methodologies and protocols adopted in different researches complicate the comparability between studies and the ability to draw final conclusions [13].…”

Section: Introductionmentioning

confidence: 94%

“…In addition, the different methodologies and protocols adopted in different researches complicate the comparability between studies and the ability to draw final conclusions [13]. This is especially true because previous studies also suffered from methodological issues, such as insufficient control of illuminance levels, microclimatic parameters according to the Standards in the field and other factors affecting thermal comfort [14].…”

Section: Introductionmentioning

confidence: 99%

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Hue-Heat Hypothesis: A Step forward for a Holistic Approach to IEQ

et al. 2019

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For many years different human factors contributing to the IEQ have been studied separately. Concerning thermal perception, despite it is almost accepted that thermal comfort can be influenced by concomitant stimulation of non-tactile modalities, relatively few investigations have succeeded in delineating non-tactile stimulations as the visual ones. The hue-heat hypothesis is based on the idea that, when spectral irradiance pattern at the observer’s eye shows a great amount of short wavelengths, the space is perceived as cooler. Conversely, when long wavelengths are predominant, the space is perceived as warmer. This means that operating on light characteristics could help in improving thermal comfort for the occupants with possible energy savings obtained by acting on the set-point temperature of HVAC systems. To verify this hypothesis, this paper will deal with a subjective investigation carried out in a special mechanically conditioned test room equipped with white-tuning LED sources. Investigated subjects have been exposed to two different light scenes consisting of warm (3000 K) and cool light sources (6000 K) at a fixed task illuminance value. Preliminary results seem to demonstrate that cool light is effective in shifting to cool the perceived thermal sensation with a general increase of people under neutral conditions.

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Section: Resultssupporting

confidence: 91%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

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Hue-Heat Hypothesis: A Step forward for a Holistic Approach to IEQ

et al. 2019

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“…This area of research was originally studied by Bennet [31] and Fanger [30], finding that this effect on human comfort has no practical significance. Most recently, studies have questioned these outcomes, detecting a relationship between color and thermal sensation with a positive effect on energy consumption [32][33][34][35][36]. The exploitation of advance technologies of visualization and modeling or the real environment such as VR can contribute to a shared outcome.…”

Section: Introductionmentioning

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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Multicriteria Design: Optimizing Thermal, Acoustic, and Visual Comfort and Indoor Air Quality in Classrooms

Diaz

Caceres

Attia

2023

Green Energy and Technology

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Indoor Environmental Quality (IEQ) is a crucial for ensuring comfortable and healthy indoor spaces, and it is influenced by four primary factors: thermal comfort, acoustic comfort, visual comfort, and air quality. These aspects have a combined influence on the overall perception of comfort, and therefore, need to be assessed with a holistic approach. This chapter presents design strategies that would generate the indoor environmental conditions needed to ensure IEQ in school classrooms in the Global South. First, the design strategies are identified and classified for each aspect of IEQ based on a literature review. Then they are organized, and conflicting design strategies are identified. Finally, a design workflow for the incorporation of passive design strategies in school classrooms is presented.

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Experimental investigation about thermal effect of colour on thermal sensation and comfort

Cited by 51 publications

References 38 publications

Hue-Heat Hypothesis: A Step forward for a Holistic Approach to IEQ

Hue-Heat Hypothesis: A Step forward for a Holistic Approach to IEQ

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

Multicriteria Design: Optimizing Thermal, Acoustic, and Visual Comfort and Indoor Air Quality in Classrooms

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