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TitleAn open source analysis framework for large-scale building energy modeling
AuthorBall, B L; Long, N; Fleming, K; Balbach, C; Lopez, PORCID logo
SourceJournal of Building Performance Simulation vol. 13, issue 5, 2020 p. 487-500, Open
Access logo Open Access
Alt SeriesNatural Resources Canada, Contribution Series 20200298
PublisherTaylor & Francis Ltd.
Mediapaper; on-line; digital
File formatpdf; html
SubjectsScience and Technology; energy conservation; modelling; analyses; software; OpenStudio® Analysis Framework; Buildings; Energy efficiency; Energy technology; Design
Illustrationsschematic representations; flow diagrams; screen captures; plots
Released2020 07 16
AbstractFull integration of building energy modelling into the design and retrofit process has long been a goal of building scientists and practitioners. However, significant barriers still exist. Among them are the lack of available: (1) configurable technology stacks for performing both small- and large-scale analyses, (2) different classes of algorithms compatible with common design workflows, and (3) analysis tools for effectively visualizing large-scale simulation results. This article discusses the OpenStudio® Analysis Framework: a scalable analysis framework for building energy modelling that was developed to overcome the three barriers listed above. The framework is open-source and scalable to facilitate wider adoption and has a clearly defined application programming interface upon which other applications can be built. It runs on high-performance computing systems, within cloud infrastructure, and on laptops, and uses a common workflow to enable different classes of algorithms. Lessons learned from previous development efforts are also discussed.

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