【作者】 刘小虎； 谢雨桐；

【Author】 Liu Xiaohu;Xie Yutong;School of Architecture and Urban Planning,Huazhong University of Science and Technology;China-EU Institute for Clean and Renewable Energy at Huazhong University of Science and Technology;

【机构】 华中科技大学建筑与城市规划学院； 华中科技大学中欧清洁与可再生能源学院；

【摘要】 随着城乡一体化的建设和社会经济的高速发展,许多地区乡村住宅的居住环境已经很难满足村民的生活需求。在鄂西南地区地理条件和气候特点的理论分析基础上,对该地区乡村住宅的现状进行了实地调研,采用现场实测和问卷调查相结合的方法,较为全面地分析了当地居民的居住热舒适状况。调研发现,鄂西南地区乡村住宅热工性能差、居住舒适度不佳,难以满足村民对居住热舒适的要求,有极大的优化设计空间。选取建筑朝向、外墙XPS保温层厚度、屋面XPS保温层厚度、屋顶坡度、窗墙面积比、外窗玻璃材料及厚度、遮阳方式以及夏季通风策略八个符合该地区地域特色的热环境优化策略,利用Energy Plus软件模拟不同优化策略组合下的热舒适效果,并将其作为训练数据建立了基于BP神经网络的鄂西南乡村住宅热舒适预测模型,通过相关参数的设定以及反复运行测试得到了较好的模拟效果。该模型可用于评估住宅设计方案对室内热舒适的影响,在已知各设计策略取值的情况下直接预测住宅室内热舒适度,对不同的建筑优化策略做出评价和筛选。更多还原

【Abstract】 With the construction of urban-rural integration and the rapid development of social economy,the living environment of rural residences in many areas has been difficult to meet the living needs of villagers.On the basis of theoretical analysis of geographical conditions and climatic characteristics in southwest of Hubei province,a field survey was conducted on the status quo of rural residences in this area,and the methods of field measurement and questionnaire survey were used to comprehensively analyze the residential thermal comfort situation of local residents.The survey found that the poor thermal performance and poor living comfort of rural residences in southwest of Hubei province are difficult to meet the requirements of the villagers for thermal comfort,and there is great room for optimization of the design.According to the regional characteristics of the region,we choose eight strategies for thermal environment optimization,including building orientation,outer wall insulation thickness,roof insulation thickness,area ratio of window to wall,roof slope,exterior window glass material and thickness,shading methods,and summer ventilation strategies.The Energy Plus software is used to simulate the thermal comfort effects under different optimization strategy combinations.And on this basis,a thermal comfort prediction model for rural residences in southwest of Hubei province based on BP neural network is established.Through the setting of relevant parameters and repeated running tests,good simulation results have been obtained,which can be used to evaluate the influence of residential design schemes on indoor thermal comfort,and directly predict the indoor thermal comfort of residential buildings when the values of various design strategies are known.更多还原