arrow
返回

BPOpt: A framework for BIM-based performance optimization

delete2015-12-01
delete154
delete
OA
AI
M
Mohammad Rahmani Asl
S
Saied Zarrinmehr
M
Michael Bergin
W
Wei Yan *
DOI:10.1016/j.enbuild.2015.09.011delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
The increase in global environmental concerns as well as the advancement of computational tools and methods have had significant impacts on the way in which buildings are being designed. Building professionals are increasingly expected to improve energy performance of their design. To achieve a high level of energy performance, multidisciplinary simulation-based optimization can be utilized to help designers in exploring more design alternatives and making informed decisions. Because of the high complexity in setting up a building model for multi-objective design optimization, there is a great demand of utilizing and integrating the advanced modeling and simulation technologies, including BIM, parametric modeling, cloud-based simulation, and optimization algorithms, as well as a new user interface that facilitates the setup of building parameters (decision variables) and performance fitness functions (design objectives) for automatically generating, evaluating, and optimizing multiple design options. This paper presents an integrated framework for building information modeling (BIM)-based performance optimization, BPOpt. This framework enables designers to explore design alternatives using an open-source, visual programming user interface on the top of a widely used BIM platform, to generate models of building design options, assess the environmental performance of the models through cloud-based simulation, and search for the most appropriate design alternatives. This paper details the process of the development of BPOpt and also provides a case study to show its application. The case study demonstrates the use of BPOpt in minimizing the energy consumption while maximizing the appropriate daylighting level for a residential building. Finally, strengths, limitations, current adoption by academia and industry, and future improvements of BPOpt for high-performance building design are discussed. (C) 2015 Elsevier B.V. All rights reserved.
Keyword:
Building information modeling (BIM)
Performance-based design
Building performance optimization
Multi-objective optimization
Parametric modeling
Visual programming
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Energy and Buildings 封面图
Energy and Buildings
IF:
7.1
论文数:
1.5W
被引数:
6.8W

机构

T
Texas A&M University System
学者数:
4.4W
论文数: 4.0W
被引数: 4.0K
引用论文

引用论文

err分享
err收藏
Algorithms for optimization of building design: A review
err2014-03-01
err416
PREAI
errMachairas, Vasileios; Tsangrassoulis, Aris; Axarli, Kleo
err分享
err收藏
BIM interface for full vs. semi-automated building energy simulation
err2014-01-01
err106
PREAI
errAhn, Ki-Uhn; Kim, Young-Jin; Park, Cheol-Soo; Kim, Inhan; Lee, Keonho
err分享
err收藏
学者 查看更多内容