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内蒙古西部农牧区被动式住宅围护结构优化 被引量:6

Structural Optimization of Passive Residential in Agricultural and Pastoral Areas of Western Inner Mongolia
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摘要 为提升内蒙古西部农牧区被动式住宅室内热环境、降低采暖能耗,对具当地被动式住宅进行调研,选取了影响冬季采暖能耗的因素并进行了量化。采用能耗模拟分析软件De ST-h和正交实验的方法研究了住宅朝向、南向窗墙比、北向窗墙比、透明围护结构材质、保温层厚度、非透明围护结构材质、附加阳光间进深等7个主要因素。通过对18种组合方案的分析,以采暖能耗为评价指标得出优选组合方式。最后建立了内蒙古西部农牧区被动式住宅采暖能耗预测模型,为农牧区被动式住宅设计提供参考。研究结果能提升农牧区被动式住宅的节能设计水平。 In order to improve the indoor thermal environment and reduce the heating energy consumption of the passive residential buildings in western Inner Mongolia,an investigation was conducted on the passive residential buildings,with the factors influencing the heating energy consumption in winter selected and quantified.The energy consumption simulation and analysis software DeST-h and orthogonal experiment method were used to study 7 main factors,including residential orientation,Southward window-wall ratio,northward window-wall ratio,transparent envelope material,insulation layer thickness,non-transparent envelope material,and depth of added sunlight.Through the analysis of 18 kinds of combination schemes,the optimal combination mode was obtained with heating energy consumption as the evaluation index.Finally,a prediction model of passive residential heating energy consumption in western Inner Mongolia was established,which provided a reference for the design of passive housing in agricultural and pastoral areas.The research results can improve the level of energy saving design of passive housing in agricultural and pastoral areas.
作者 金国辉 张东杰 李雨泽 沈强 JIN Guo-hui;ZHANG Dong-jie;LI Yu-ze;SHEN Qiang(School of Civil Engineering,Inner Mongolia University of Science and Technology,Baotou 014000;College of Mechanical Engineering and Automation,Huaqiao University;School of Architecture and Civil Engineering,Xiamen University,Xiamen 361000,China)
出处 《科学技术与工程》 北大核心 2018年第7期223-227,共5页 Science Technology and Engineering
基金 国家自然科学基金(51668051 51768053) 内蒙古自然科学基金(2016MS0516 2017MS(LH)0532) 西部绿色建筑国家重点实验培育基地开放研究基金(LSKF201803)资助
关键词 农牧区住宅 采暖能耗 附加阳光间 正交实验 farming and stock raising residential heating energy consumption extra sun room orthogonal optimization
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