BPOpt: A framework for BIM-based performance optimization

•BIM-based performance optimization (BPOpt) framework is developed.•Open-source Optimo is developed to serve as a multi-objective optimization engine.•Optimo utilizes the visual programming method integrated with BIM for BPOpt.•The performance of BPOpt is evaluated with a case study of a design proj...

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Published in:Energy and buildings Vol. 108; pp. 401 - 412
Main Authors: Rahmani Asl, Mohammad, Zarrinmehr, Saied, Bergin, Michael, Yan, Wei
Format: Journal Article
Language:English
Published: Elsevier B.V 01.12.2015
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ISSN:0378-7788
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Abstract •BIM-based performance optimization (BPOpt) framework is developed.•Open-source Optimo is developed to serve as a multi-objective optimization engine.•Optimo utilizes the visual programming method integrated with BIM for BPOpt.•The performance of BPOpt is evaluated with a case study of a design project.•BPOpt works on the top of a widely used BIM-platform for sustainable design. 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.
AbstractList •BIM-based performance optimization (BPOpt) framework is developed.•Open-source Optimo is developed to serve as a multi-objective optimization engine.•Optimo utilizes the visual programming method integrated with BIM for BPOpt.•The performance of BPOpt is evaluated with a case study of a design project.•BPOpt works on the top of a widely used BIM-platform for sustainable design. 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.
Author Zarrinmehr, Saied
Rahmani Asl, Mohammad
Yan, Wei
Bergin, Michael
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  surname: Rahmani Asl
  fullname: Rahmani Asl, Mohammad
  organization: Texas A&M University, United States
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  givenname: Saied
  surname: Zarrinmehr
  fullname: Zarrinmehr, Saied
  organization: Texas A&M University, United States
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  givenname: Michael
  surname: Bergin
  fullname: Bergin, Michael
  organization: Autodesk, Inc., United States
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  givenname: Wei
  surname: Yan
  fullname: Yan, Wei
  email: wyan@tamu.edu
  organization: Texas A&M University, United States
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Keywords Performance-based design
Visual programming
Multi-objective optimization
Parametric modeling
Building performance optimization
Building information modeling (BIM)
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Snippet •BIM-based performance optimization (BPOpt) framework is developed.•Open-source Optimo is developed to serve as a multi-objective optimization engine.•Optimo...
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SubjectTerms Building information modeling (BIM)
Building performance optimization
Multi-objective optimization
Parametric modeling
Performance-based design
Visual programming
Title BPOpt: A framework for BIM-based performance optimization
URI https://dx.doi.org/10.1016/j.enbuild.2015.09.011
Volume 108
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