摘要
提出了基于BIM的低碳化工厂房建筑设计优化框架,通过研究不同玻璃及幕墙材料改进的遗传算法实现厂房建筑低碳节能与采光性能的综合权衡功能。案例研究表明,通过该框架得到的仿真结果可以有效实现厂房建筑节能的同时,最大优化建筑的照明性能,节约建筑材料的浪费,为建筑专业人员设计低碳建筑提供科学依据和参考。研究结果为化工企业厂房低碳节能研究领域做出了贡献,实现了基于BIM、遗传算法和仿真的建筑性能多目标优化策略,是对既有厂房建筑节能减排的优化设计。
A BIM-based optimization framework for low-carbon chemical plant building design was proposed comprehensive trade-off function for low-carbon energy saving and light performance of plant buildings by studying genetic algorithms for different glass and curtain wall material.The case study showed that the simulation results obtained through the framework could effectively achieve energy saving in plant buildings,optimize the lighting performance of the building to the greatest extent,save the waste of building materials,and provide a scientific basis and reference for construction professionals to design low-carbon buildings.The research results can contribute to the field of low carbon energy saving research for chemical enterprise plants,and realize BIM-based multi-objective optimization strategies for building performance,genetic algorithm and simulation,which is the optimal design for energy saving and emission reduction of existing plant buildings.
作者
毕瀚文
张足斌
BI Hanwen;ZHANG Zubin(China University of Petroleum(East China),Qingdao 266580,Shandong China)
出处
《粘接》
CAS
2023年第12期67-71,共5页
Adhesion
关键词
BIM
低碳
化工厂房节能建筑
目标优化
BIM
low carbon
chemical plant energy efficient building
target optimization