Study on Coupled Environment Design of Rural Residential Buildings in Severe Cold Regions of Northeast China
ZHEN Meng
SUN Cheng
JIA Yongheng
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.
Keywords:severe cold regions of northeastrural residential buildingcoupled environmentBP neural network
Publication Date:2016-01-01
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:10( 113-122 )
