[1]马乐原,陈悦华.BIM在鲁中地区传统农宅节能改造中的运用[J].华侨大学学报(自然科学版),2019,40(4):503-509.[doi:10.11830/ISSN.1000-5013.201811093]
　MA Leyuan,CHEN Yuehua.BIM Application in Energy-Saving Retrofitting of Traditional Rural Residential Buildings in Central Shandong Province[J].Journal of Huaqiao University(Natural Science),2019,40(4):503-509.[doi:10.11830/ISSN.1000-5013.201811093]
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BIM在鲁中地区传统农宅节能改造中的运用()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第40卷
期数:
2019年第4期
页码:
503-509
栏目:
出版日期:
2019-07-10

文章信息/Info

Title:
BIM Application in Energy-Saving Retrofitting of Traditional Rural Residential Buildings in Central Shandong Province
文章编号:
1000-5013(2019)04-0503-07
作者:
马乐原;  陈悦华
武汉大学 土木建筑工程学院, 湖北 武汉 430072
Author(s):
MA Leyuan;  CHEN Yuehua
School of Civil Engineering, Wuhan University, Wuhan 430072, China
关键词:
建筑信息模型;  合院式农宅;  逐月不舒适度;  建筑能耗
Keywords:
building information modeling;  courtyard rural residential buildings;  monthly discomfort degree;  building energy consumption
分类号:
TU241.4
DOI:
10.11830/ISSN.1000-5013.201811093
文献标志码:
A
摘要:
在对鲁中地区农宅进行实地调研、了解现存住宅类型及围护结构方案的基础上,选取有代表性的农宅类型,借助建筑信息模型(BIM)建模软件Revit建立三维模型.利用BIM可持续分析软件Ecotect,分别模拟不同的农宅布局形式及围护结构优化前、后的室内逐月不舒适度和能耗情况.结果表明:从节能角度分析,合院式布局农宅仍然是最佳布局形式;进一步提高围护结构的热工性能是节能改造的关键,且对屋顶和外窗进行改造的效果明显优于外墙.
Abstract:
The representative 3D model was built with the application of building information modeling(BIM)based on the field investigation of the layouts and envelope types of the rural buildings in central Shandong province. The indoor monthly discomfort degree and energy consumption of traditional buildings were simulated by green analysis software Ecotect, to optimize the layouts and envelope types. The results show that the courtyard is still the best layout for energy saving, the further improvement of the thermal performance of envelope structure is the key to energy-saving, the effect of roof and exterior window renovation is obviously better than that of exterior wall renovation.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2018-11-28
通信作者: 陈悦华(1968-),男,副教授,博士,主要从事建筑信息化的研究.E-mail:yuhchen@whu.edu.cn.
基金项目: 国家自然科学基金面上资助项目(71073117)
更新日期/Last Update: 2019-07-20