scholarly journals MODEL-BASED METHOD TO MEASURE THERMAL COMFORT IN BUILDINGS

2014 ◽  
pp. 125-130
Author(s):  
Konstantyn Spasokukotskiy ◽  
Hans-Rolf Trankler ◽  
Kateryna Lukasheva

This paper describes a practical method of measurement a HVAC control new variable. The method is based upon model-based estimation of thermal comfort. The thermal comfort is the only physical value, that truly corresponds to the changed (due to dynamic processing) environment conditions in buildings. The dynamic processing is a consequence of a modern demand-driven decentralized room climate control, that has been presented earlier, or a consequence of improvement of wall thermal insulation, that is beyond the limits of the actual insulation standards (for example 2002 - Energy saving regulations in Germany). The differences between various model types will be discussed. Some results will be shown for the realized model type.

Author(s):  
D. Murayama ◽  
K. Mitsumoto ◽  
Y. Takagi ◽  
Y. Iino ◽  
S. Yamamori

2019 ◽  
Vol 136 ◽  
pp. 04101
Author(s):  
Yalong Yang ◽  
Yufu Liu ◽  
Rui Zhang ◽  
Xulai Zhu ◽  
Mingyue Wang

“People-oriented” and “Energy saving” are the two major themes of current social development. In the field of thermal comfort, establishment of thermal comfort model based on physiological parameters plays an important role in meeting the needs of human health and comfort, optimizing the design of building environment and building energy saving. In this paper, three types of physiological signals (skin temperature, skin conductance and heart rate) were collected through comfort physiological experiments. The changes of the three types of physiological signals under environmental temperature were analyzed. Furthermore, subjective questionnaire survey of human thermal comfort under five experimental conditions was performed. In addition, the thermal comfort evaluation model based on individual differences was established by partial least squares regression and ELM-RBF neural network. The established models were compared with the classical PMV model to analyze the superiority of the model. The results show that the thermal comfort evaluation model based on individual differences established by ELM-RBF neural network can better predict the trend of people's thermal comfort and satisfy the individual's demand for thermal comfort. Meanwhile, it can achieve the goal of building energy saving. Therefore, it has high practical and social significance.


2017 ◽  
Vol 42 (1) ◽  
pp. 52-57
Author(s):  
Cheng Sun ◽  
Meng Zhen ◽  
Yu Shao

Rural residential energy consumption accounts for 46.6% of total building-related energy consumption of China. In Northeast China, energy consumption for space heating represents a significant proportion of total rural residential energy consumption and has reached 100 million tce (tons of standard coal equivalent), or more than 60% of total household energy consumption. In terms of energy consumption per square meter of gross floor area, rural residential energy consumption for heating is more than that of cities (20kgce/m2). However, the average indoor temperature of most rural residence is below 10°C, much less than that in cities (18°C). Hence, it is an important task for Chinese energy saving and emission reduction to reduce rural residential energy consumption, while enhancing indoor thermal comfort at the same time. Restricted by local technology and low economic level, rural residences currently have poor thermal insulation resulting in severe heat loss. This paper reports on research aimed at developing design strategies for improving thermal insulation properties of rural residences with appropriate technology. A field survey was conducted in six counties in severe cold areas of Northeast China, addressing the aspects of indoor and outdoor temperature, humidity, internal and external surface temperature of building envelop enclosure, and so on. The survey data show the following: 1. Modern (after 2000) brick-cement rural residences perform much better than the traditional adobe clay houses and Tatou houses (a regional type of rural residence in Northeast China – see figure A) in overall thermal performance and indoor thermal comfort; 2. Among the traditional residential house types, adobe clay houses have better heat stability and thermal storage capacity than Tatou houses; 3. Applying an internal or external thermal insulation layer can greatly improve rural residential thermal insulation properties, and is an economical and efficient solution in rural areas; 4. In terms of roofing materials, tiled roofs show much better thermal insulation properties than thatch roofs; 5. Adopting passive solar techniques can form a transition space (greenhouse) against frigid temperatures, resulting in interior temperatures 5.91°C higher than the outside surroundings. It is evident that local passive solar room design offers significant heat preservation effects and lower cost ($12/m2), embodies the ecological wisdom of rural residents, and is therefore important to popularize. The above experimental results can provide guidance in energy conservation design for both self-built residences and rural residences designed by architects. In addition, the results can also provide experimental data for energy-saving studies for rural residences in China.


Author(s):  
Lingjiang Huang ◽  
Jian Kang

AbstractThe solar incidence on an indoor environment and its occupants has significant impacts on indoor thermal comfort. It can bring favorable passive solar heating and can result in undesired overheating (even in winter). This problem becomes more critical for high altitudes with high intensity of solar irradiance, while received limited attention. In this study, we explored the specific overheating and rising thermal discomfort in winter in Lhasa as a typical location of a cold climate at high altitudes. First, we evaluated the thermal comfort incorporating solar radiation effect in winter by field measurements. Subsequently, we investigated local occupant adaptive responses (considering the impact of direct solar irradiance). This was followed by a simulation study of assessment of annual based thermal comfort and the effect on energy-saving potential by current solar adjustment. Finally, we discussed winter shading design for high altitudes for both solar shading and passive solar use at high altitudes, and evaluated thermal mass shading with solar louvers in terms of indoor environment control. The results reveal that considerable indoor overheating occurs during the whole winter season instead of summer in Lhasa, with over two-thirds of daytime beyond the comfort range. Further, various adaptive behaviors are adopted by occupants in response to overheating due to the solar radiation. Moreover, it is found that the energy-saving potential might be overestimated by 1.9 times with current window to wall ratio requirements in local design standards and building codes due to the thermal adaption by drawing curtains. The developed thermal mass shading is efficient in achieving an improved indoor thermal environment by reducing overheating time to an average of 62.2% during the winter and a corresponding increase of comfort time.


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