The effects of programmed air temperature changes on sleep quality and energy saving in bedroom

Lan, Li; Lian, Zhiwei; Qian, Xiaolei; Dai, Changzhi

doi:10.1016/j.enbuild.2016.08.001

Cited by 44 publications

(23 citation statements)

References 23 publications

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“…Our study, therefore, illustrates the potential of integrating IoT systems into building control systems to achieve thermal environments appropriate for sleeping occupants. Such a system is also likely to offer substantial cooling/heating energy reductions, in addition to providing a favorable sleeping environment at night [55]. Future research should, therefore, further explore the energy-saving benefits of integrating IoT systems (i.e., temperature regulating systems) into building control systems at night.…”

Section: Discussionmentioning

confidence: 99%

Effects of Changing Air Temperature at Different Sleep Stages on the Subjective Evaluation of Sleep Quality

et al. 2019

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The thermal environment in bedrooms is important for high-quality sleep. Studies confirm that, even during sleep, the human body remains sensitive to the ambient air temperature. This study assesses how changing indoor air temperatures at different sleep stages affects the subjective evaluation of sleep quality. We compare reports from two identical sleeping environments with different thermal control systems: an IoT-based control system that adjusts the indoor air temperature according to the sleep stage and a fixed control system that maintains a constant temperature throughout the night. Ten subjects participated in the experiments and completed a questionnaire about their sleep quality. Our results show that, overall, the subjects experienced better sleep in the room with the IoT-based control system than in the one with a fixed thermal control. The mean differences in sleep satisfaction levels between the two sleeping environments were generally statistically significant in favor of the room with the IoT-based thermal control. Our results thus illustrate the suitability of using the IoT to control the air conditioning in bedrooms to provide improved sleep quality.

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Section: Discussionmentioning

confidence: 99%

Effects of Changing Air Temperature at Different Sleep Stages on the Subjective Evaluation of Sleep Quality

et al. 2019

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“…Two samples t-tests were performed on the following variables-climatic conditions, sleep quality parameters, and subjective sensations, and variations in the data at different input values were predicted. The formula to calculate one sample t-test is given below in Equation (5).…”

Section: Discussionmentioning

confidence: 99%

Microclimate Thermal Management Using Thermoelectric Air-Cooling Duct System Operated at Five Incremental Powers and its Effect on Sleep Adaptation of the Occupants

et al. 2019

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In this study, the microclimate of the test room was regulated using thermoelectric air duct cooling system (TE-AD) operated at input powers-240 W, 360 W, 480 W, 600 W, 720 W, and 840 W, on subsequent nights. Fifteen (15) healthy male volunteers were recruited to sleep under these test conditions and their sleep quality was assessed by studying objective measures such as sleep onset latency (SOL), mean skin temperature and heart rate as well as subjective parameters like predicted mean vote (PMV) and predicted percentage of dissatisfied (PPD). There was a consistent improvement on all studied parameters when the power of the system was increased from 240 W to 720 W. The mean sleep onset latency time was reduced from (M = 40.7 +/− 0.98 min) to (M = 18.33 +/− 1.18 min) when the operating power was increased from 240 W to 720 W, denoting an improvement in sleep quality. However, increasing the power further to 840 W resulted in deteriorating cooling performance of the TE-AD system leading to an increase in temperature of the test room and reduction in sleep comfort. Analysis of subjective indices of thermal comfort viz. PMV and PPD revealed that subjects are highly sensitive towards variations in microclimate achieved by changing the operating power of the TE-AD. This device was also found to be environmentally sustainable, with estimated reduction in CO2 emission calculated to be around 38% as compared to the conventional air-conditioning.

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“…The use of ACC services has multiple socio-economic implications and human health ramifications. Indoor temperature affects health status (Deschenes, 2014;Tham et al, 2020;Vicedo-Cabrera et al, 2018;White-Newsome et al, 2012), night-time sleep quality (Lan et al, 2017(Lan et al, , 2016Obradovich et al, 2017;Pan et al, 2012), and work productivity (Akimoto et al, 2010;Cui et al, 2011;He et al, 2019;Lorsch and Abdou, 1994;Tanabe et al, 2007;Yu et al, 2019;Zivin and Kahn, 2016). This broad stream of literature agrees that ACC services can mitigate large part of the current (and future) indoor thermal discomfort, which disproportionately affects the poor and most vulnerable populations (Biardeau et al, 2020;Byers et al, 2018).…”

Section: Introductionmentioning

confidence: 95%

The role of residential air circulation and cooling demand for electrification planning: Implications of climate change in sub-Saharan Africa

Falchetta

Mistry

2021

Energy Economics

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Nearly 1 billion people live without electricity at home. Energy poverty limits their ability to take autonomous actions to improve air circulation and the cooling of their homes. It is therefore important that electricityaccess planners explicitly evaluate the current and future air circulation and cooling needs of energy-poor households, in addition to other basic energy needs. To address this issue, we combine climate, socio-economic, demographic and satellite data with scenario analysis to model spatially explicit estimates of potential cooling demand from households that currently lack access to electricity. We link these demand factors into a bottom-up electrification model for sub-Saharan Africa, the region with the world's highest concentration of energy poverty. Accounting for cooling needs on top of baseline household demand implies that the average electrification investment requirements grow robustly (a scenario mean of 65.5% more than when considering baseline household demand only), mostly due to the larger generation capacity needed. Future climate change could increase the investment requirements by an additional scenario mean of 4%. Moreover, the share of decentralised systems as the lowest-cost electrification option falls by a scenario mean 4.5 percentage points of all new connections. The crucial determinants for efficient investment pathways are the adoption and use of cooling appliances, the extent of climate change, and the baseline electricity demand. Our results call for a more explicit consideration of climate-adaptative energy needs by infrastructure planners in developing countries.

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The effects of programmed air temperature changes on sleep quality and energy saving in bedroom

Cited by 44 publications

References 23 publications

Effects of Changing Air Temperature at Different Sleep Stages on the Subjective Evaluation of Sleep Quality

Effects of Changing Air Temperature at Different Sleep Stages on the Subjective Evaluation of Sleep Quality

Microclimate Thermal Management Using Thermoelectric Air-Cooling Duct System Operated at Five Incremental Powers and its Effect on Sleep Adaptation of the Occupants

The role of residential air circulation and cooling demand for electrification planning: Implications of climate change in sub-Saharan Africa

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