2021
DOI: 10.1016/j.enbuild.2021.111104
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Potential and challenges of a user-centric radiant cooling approach

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Cited by 22 publications
(5 citation statements)
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“…Predicting thermal comfort by applying virtual human manikins in the CFD simulation has been reported by numerous studies [13]. According to our observation, there are no relevant standards in CFD simulations for the sizes, shapes, and postures of human model, and their application mostly depends on the purposes of the research works [26][27][28][29]. Because of the excessive simulation time, the majority of CFD studies have applied simple (e.g., rectangular) shapes.…”
Section: Introductionmentioning
confidence: 86%
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“…Predicting thermal comfort by applying virtual human manikins in the CFD simulation has been reported by numerous studies [13]. According to our observation, there are no relevant standards in CFD simulations for the sizes, shapes, and postures of human model, and their application mostly depends on the purposes of the research works [26][27][28][29]. Because of the excessive simulation time, the majority of CFD studies have applied simple (e.g., rectangular) shapes.…”
Section: Introductionmentioning
confidence: 86%
“…The target panel surface temperature was 10 °C. For these indoor air and panel surface temperatures, the cooling power of the radiant element was estimated to be roughly 100 W per square meter panel area [27]. The air flow speed was measured and simulated at several heights (10, 35, 60, 85, and 110 cm above the floor) and distances (1, 1.5, 2, 3, 4, 5, 10, 15, 20, 30, 40, and 50 cm from the radiant panel) (see Figure 2) [31].…”
Section: Approachmentioning
confidence: 99%
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“…Even the use of personalised radiant conditioning systems alone was able to reach the thermal comfort criteria reducing energy consumption by 69%. Teufl et al (2021) showed how personalised radiant cooling could provide acceptable comfort levels at an ambient air temperature of 28°C. They also highlighted that air movement was key in influencing the subject's preference for radiant cooling (Aryal et al 2022;Teufl et al 2021).…”
Section: Recognise Individual Cooling Needs Through Occupant-centric ...mentioning
confidence: 99%
“…Teufl et al (2021) showed how personalised radiant cooling could provide acceptable comfort levels at an ambient air temperature of 28°C. They also highlighted that air movement was key in influencing the subject's preference for radiant cooling (Aryal et al 2022;Teufl et al 2021). Pasut et al (2015) demonstrated how the use of heated/cooled chairs provided comfortable conditions for 92% of the subjects in a range of temperatures from 18 to 29°C.…”
Section: Recognise Individual Cooling Needs Through Occupant-centric ...mentioning
confidence: 99%