Abstract:The aim of this paper is to optimize the building shape parameters and envelope parameters influencing the rural building energy consumption in cold winter and hot summer climate. Several typical models are established and optimized by integrated TRNSYS and GenOpt. Single-objective optimization has provided guidance to the multi-dimensional optimization. Building shape and envelope parameters are considered simultaneously by multi-dimensional optimization. Results of the optimization showed significant reduction in terms of EC (energy consumption). When O (building orientation) was SW (south by west) 10 • , LWR (length-width ratio) was 1.1, WWRS (window-wall ratio in south) with the range of 0.6-0.8, ITE (insulation thickness of exterior wall) and ITR (insulation thickness of roof) was 0.05 m and 0.08 m respectively, the building had minimal energy consumption. The results also indicated that the optimal EWT (exterior window type) was plastic single-frame Low-E insulating glazing filled with inert gas, and the optimal shape of building is Re (rectangle). An effective method was provided to optimize the design of the rural building for the purpose of reducing building energy consumption in cold winter and hot summer climate.
Somatotype and habitus parameters may affect physiological control system, so the changes of physiological parameters are not the same when various people work in hot-dry and warm-wet climates. In this paper, a chamber built in Tianjin University was used to simulate comfortable, hot-dry and warm-wet climates. Sixty healthy university students were selected as subjects who were divided into four groups based on somatotype and habitus differences. The subjects were asked to exercise on a treadmill at moderate and heavy work intensities. Physiological parameters (rectal temperature and heart rate) were measured after every 10-min work in the climate chamber. For different groups, the change trends of physiological parameters were different. With the enhancement of experimental conditions, the differences among four groups were weakened. Body surface area per unit of body mass (BSA/mass), percentage of body fat (%fat), and maximum oxygen consumption per unit of body mass (VO 2max /mass) were adopt to establish a revised body characteristic index (RBCI). RBCI was proved having significant correlation with physiological parameters, which means RBCI as the combined factors of somatotype and habitus parameters can be applied to evaluate the effect of individual characteristics on physiological systems.
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