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苏南地区老小区既有住宅节能改造集成技术体系及能耗评估
引用本文:白建波,沈北安,张宇,芮玮玮,杨江金,张菁燕,吴海军.苏南地区老小区既有住宅节能改造集成技术体系及能耗评估[J].建筑科学,2012,28(2):59-65.
作者姓名:白建波  沈北安  张宇  芮玮玮  杨江金  张菁燕  吴海军
作者单位:1. 河海大学机电工程学院,江苏常州,213022
2. 常州市新北区城市管理与建设局,江苏常州,213022
3. 江苏筑原建筑设计有限公司,江苏常州,213002
4. 常州市建科院,江苏常州,213001
基金项目:江苏省自然科学基金重点项目,河海大学中央高校基本科研业务费项目
摘    要:本文针对苏南地区老小区既有住宅能耗较大的问题,对该地区的气候条件和老小区住宅的室内热环境进行了分析,设计了进行节能改造的集成技术方案.而后,采用能耗模拟的方法,分别对某老小区住宅的外墙、屋顶、外窗、遮阳和楼梯间采用节能改造方案前后的能耗进行了模拟计算,并对各项改造措施的经济性及回收年限进行了分析,为后续老小区住宅节能改造的规模化实施奠定了理论基础.

关 键 词:老小区住宅  节能改造  能耗模拟  经济性分析

Energy-saving Retrofit Integrated Technology System and Energy Consumption Evaluation of Existing Residential Buildings of Old District in the South of Jiangsu
BAI Jian-bo , SHEN Bei-an , ZHANG Yu , RUI Wei-wei , YANG Jiang-jin , ZHANG Jing-yan , WU Hai-jun.Energy-saving Retrofit Integrated Technology System and Energy Consumption Evaluation of Existing Residential Buildings of Old District in the South of Jiangsu[J].Building Science,2012,28(2):59-65.
Authors:BAI Jian-bo  SHEN Bei-an  ZHANG Yu  RUI Wei-wei  YANG Jiang-jin  ZHANG Jing-yan  WU Hai-jun
Affiliation:1.College of Mechanical and Electrical Engineering,Hohai University,Changzhou 213022,Jiangsu,China;2.Changzhou Xinbei District City Management and Construction Bureau,Changzhou 213022,Jiangsu,China;3.Jiangsu Zhuyuan Architectural Design Co.,Ltd.,Changzhou 213002,Jiangsu,China;4.Changzhou Construction and Science College,Changzhou 213001,Jiangsu,China)
Abstract:In this paper,aiming at the problem of too much energy consumption of existing residential buildings of old district in the south of Jiangsu,the climate condition and indoor thermal environment were studied,and the energy-saving retrofit integrated technology system was designed.And then,using the software of DeST,the energy consumptions before and after the energy-saving retrofit were calculated and evaluated,including exterior wall,exterior window,roof,external shading and corridor.Finally,the economic analysis was given out.
Keywords:residential buildings of old district  energy-saving retrofit  energy consumption simulation  economic analysis
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