照明工程学报2016，Vol.27Issue(4)：113-122,10.DOI:10.3969∕j.issn.1004-440X.2016.04.020
东北严寒地区农村住宅耦合环境设计研究
Study on Coupled Environment Design of Rural Residential Buildings in Severe Cold Regions of Northeast China
摘要
Abstract
In the actual climatic conditions, rural residential buildings were affected by thermal environment, natural lighting environment, and etc. It requires consideration of the interaction among environmental factors to achieve integrated optimization of the parameters and to achieve energy efficiency. The paper selects the influencing factors through field survey and simulation analysis. The paper constructs the prediction model of energy consumption in heating season and natural lighting illuminance of rural residential buildings using BP neural network. The model can provide guidance for architects and rural residents when they design and build rural residential buildings. Thereby, the model can improve indoor environmental quality and reduce energy consumption of rural residential buildings.关键词
东北严寒地区/农村住宅/耦合环境/BP神经网络Key words
severe cold regions of northeast/rural residential building/coupled environment/BP neural network分类
信息技术与安全科学引用本文复制引用
甄蒙,孙澄,贾永恒..东北严寒地区农村住宅耦合环境设计研究[J].照明工程学报,2016,27(4):113-122,10.基金项目
黑龙江省经济社会发展重点研究课题(编号:15030),“十二五”国家科技支撑计划课题资助项目(编号:2013BAJ12B04) （编号:15030）
