摘要
根据对城镇住宅建筑节能的分析,建立了综合评价城镇住宅建筑节能的指标体系,分析了城镇住宅建筑节能综合评价指标的内涵及确定标准,运用灰色关联度分析法,构建了城镇住宅建筑节能评价指标体系的简化节能评价指标,进而基于人工神经网络方法,构建了城镇住宅建筑节能的综合评价模型,不仅有利于掌握既有城镇住宅建筑的节能效果,而且更有助于指导新建住宅建筑节能工作的开展。
Based on the analysis of u;ban residential building energy conservation, this paper established a-comprehensive evaluation index system of urban residential building energy efficiency, analyzed the comprehensive evaluation index content and determined the standards of urban residentia~ building energy efficiency, using the gray relational grade analysis, constructed the simplified evaluation index system of energy-saving targets of urbaq residential building energy efficiency evaluation, and then based on artificial neural network, built urban residential building energy efficiency evaluation model, which not only was belpful to control the energy saving effect of urban residential buildings, but also could help to guide new residential buildin~ energy efficiency to carry out.
出处
《价值工程》
2011年第2期69-71,共3页
Value Engineering
基金
青海省自然科学基础研究计划资助项目(编号:2008-Z-601)
关键词
城镇住宅
建筑节能
指标体系
综合评价
urban residential building
energy saving of buildings
index system
comprehensive evaluation
