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Weight of energy consumption parameters of rural residences in severe cold area

机译:严寒地区农村居民能源消耗参数的重量

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Appropriate management and optimization of energy consumption provides great support for the sustainable development of rural buildings. Although some research results are helpful for the energy-saving design and transformation of rural residential buildings, there is no systematic analysis of the impact of energy consumption parameters on energy-saving, which is not conducive to further optimization of energy-saving design. Based on more than 200 groups of field survey data, a typical initial rectangle model of rural residence in the severe cold area of northern China is established, and the orientation, aspect ratio, south window-wall ratio (WWR), north WWR, and enclosure structure are five main factors affecting the energy consumption in heating period. The method to evaluate the heating energy consumption of buildings was proposed based on EnergyPlus and analytic hierarchy process (AHP) from different functional parameters. The climate conditions of four cities of three secondary severe cold areas (1A, 1B, 1C) in northern China are selected for the building model, and the change rates and weights of energy consumption related parameters are analyzed. The results from the energy consumption simulation analysis show that the weight of enclosure structure is the largest, followed by the South WWR, the ratio of length to width is the third, and the orientation is the smallest in the four cities, which provides a good reference for the prediction and optimization of energy consumption in the rural residences in severe cold area.
机译:能源消耗的适当管理和优化为农村建筑的可持续发展提供了极大的支持。虽然一些研究结果有助于节能设计和农村住宅的转型,但对能源消耗参数的影响没有系统分析,这不利于进一步优化节能设计。基于200多组现场调查数据,建立了北方北方严重寒冷地区农村住宅的典型初始矩形模型,方向,纵横比,南窗 - 壁比(WWR),北WWR,以及外壳结构是影响加热期能耗的五个主要因素。基于来自不同功能参数的能量多和分析层次处理(AHP),提出了评估建筑物的加热能量消耗的方法。中国北部三次严重寒冷地区(1A,1B,1C)的四个城市的气候状况被选中,分析了能耗相关参数的变化率和重量。能耗仿真分析结果表明,外壳结构的重量是最大的,其次是南方WWR,长度与宽度的比率是第三个,方向是四个城市中最小的,这提供了良好的严重寒冷地区农村住宅能源消耗预测与优化的参考。

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