Experimental comparison between set-point based and satisfaction based indoor thermal environment control

Wang, Fulin; Chen, Zheliang; Feng, Qingqing; Zhao, Qianchuan; Cheng, Zhiqiang; Guo, Zhao‐Xia; Zhong, Zhipengn

doi:10.1016/j.enbuild.2016.07.040

Cited by 29 publications

(12 citation statements)

References 8 publications

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“…The present results suggest that the skin temperature of the forehead is a good index of thermal state for subjects sleeping in a thermally uniform environment. It has even been suggested that skin temperature is better than room temperature if the aim is to control the indoor environment according to occupants' thermal perception [35]. In a sleeping environment, it would be particularly appropriate to control the environment based on the occupant's thermal state, because the body passes through different physiological and biochemical states during different periods of the night [9].…”

Section: Discussionmentioning

confidence: 99%

Mean skin temperature estimated from 3 measuring points can predict sleeping thermal sensation

Lan

Xia

Tang

et al. 2019

Building and Environment

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Sensory input from the skin appears to be of crucial importance in the regulation of sleep but there has been limited research on human skin temperature during sleep. The present study was undertaken to validate calculation of the mean skin temperature (MST) of sleeping subjects from measurements at only three locations: forehead, chest, and foot, by means of an analysis of skin temperature data obtained from four human experiments that investigated the effects of thermal environment on the sleep quality and thermal comfort of a total of 64 sleeping subjects.The results show that skin temperatures were more evenly distributed across the body surface of sleeping subjects than they are when subjects are awake. The skin temperature of the forehead was highly correlated with thermal sensation in long-term measurements. MST values calculated using the three-point method were found to predict thermal sensation while sleeping better than those calculated using the normally accepted Hardy and Dubois's seven-point method. The validity, convenience and reliability of this approach, which also causes less sleep disturbance, makes it a suitable choice for obtaining estimates of mean skin temperature in sleep studies.

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Section: Discussionmentioning

confidence: 99%

Mean skin temperature estimated from 3 measuring points can predict sleeping thermal sensation

Lan

Xia

Tang

et al. 2019

Building and Environment

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“…where: Green parameter was analyzed using calculation of air conditioner's electric power/PAC (kWatt) at different workplace temperature set point [16]. PAC was interpolarized based on the data of air conditioner's specification data in Wang et al [16]. Table 1, was used to calculate the rowan incentive plan in Table 3.…”

Section: Methodsmentioning

confidence: 99%

Development of Green-Affective Work System for Food SMEs

Ushada

Okayama

2018

KLS

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Work system of food Small and Medium-sized Enterprises (SMEs) is influenced by various factors as worker performance, characteristics of raw material, value-added process and workplace environmental ergonomics. Green-affective design analyzes properties of work systems and how these technical attributes could be sensible to the environment (Green) and worker (Affective). The research objectives were: 1) To explore the relationship between green and affective parameters in work systems of Food SMEs; 2) To design a green-affective work system for Food SMEs. Six (6) SMEs of different food products were used for the case studies as Crackers, Nuggets, Fish Chips, Bakpia, Tempe and Herbal Instant Beverages. Air conditioner was suggested to set the temperature set points for controlling environmental ergonomics. Green parameters were analyzed using calculation of air conditioner electricity cost at different workplace temperature set point. Affective parameters were analyzed using heart rate, worker energy consumption and rowan incentive plan. Research findings indicated air conditioner could be used to control environmental ergonomics based on the satisfied temperature set points and efficient electricity cost in work system of food SMEs. Keywords: Air Conditioner; Environmental Ergonomics; Heart Rate; Rowan Incentive Plan

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“…43,44 Researches showed that this control method could obtain more comfortable indoor thermal environment and reduce unnecessary energy waste compared with the control of setting the reference parameter value. 45,46 After receiving the thermal sensation input signal, the air conditioner output device can adopt specific devices such as natural wind devices, wind speed, and frequency individual devices for targeted adjustment. Barger et al researched on the influence of personal control ability in natural ventilation buildings.…”

Section: The Control Based On Thermal Sensation Expressionmentioning

confidence: 99%

A review of research on dynamic thermal comfort

Cao

Yang

et al. 2021

Building Services Engineering Research and Technology

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Nowadays, people’s requirements for comfort are getting higher and higher, and traditional steady-state thermal comfort environment sometimes cannot meet people’s requirements. Dynamic thermal comfort is considered to meet people's requirements for comfort better than traditional thermal comfort, and it is also conducive to the health of occupants and building energy conservation. Therefore, this article reviews the literature on dynamic thermal comfort. First, this article briefly describes the transition from a steady-state thermal environment to a dynamic thermal environment. Next, this article reviews the research related to dynamic thermal comfort, such as the frequency of airflow fluctuations, simulation of natural wind, thermal prediction models, the use of intelligent detection equipment, and personal environmental control. This article summarizes the related research and development of dynamic thermal comfort from the aspects of dynamic airflow parameters, indoor thermal environment regulation, thermal experience, etc. This article aims to illustrate the necessity of the development of dynamic thermal comfort and its current results. The results show that under the trend of the artificial intelligence era, dynamic thermal comfort still has broad development potential. This article It can provide some research ideas for subsequent thermal comfort research. Practical application: This paper summarizes the research and development of dynamic thermal comfort from dynamic airflow, indoor thermal environment control, thermal experience, etc., and makes appropriate extensions and prospects accordingly. At the same time, the necessity of combining thermal comfort with AI trends is emphasized. This paper can provide references and ideas for thermal research on thermal comfort.

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Experimental comparison between set-point based and satisfaction based indoor thermal environment control

Cited by 29 publications

References 8 publications

Mean skin temperature estimated from 3 measuring points can predict sleeping thermal sensation

Mean skin temperature estimated from 3 measuring points can predict sleeping thermal sensation

Development of Green-Affective Work System for Food SMEs

A review of research on dynamic thermal comfort

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