| Title | An open source analysis framework for large-scale building energy modeling |
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| Author | Ball, B L; Long, N; Fleming, K; Balbach, C; Lopez, P |
| Source | Journal of Building Performance Simulation vol. 13, issue 5, 2020 p. 487-500, https://doi.org/10.1080/19401493.2020.1778788  Open Access |
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| Year | 2020 |
| Alt Series | Natural Resources Canada, Contribution Series 20200298 |
| Publisher | Taylor & Francis Ltd. |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf; html |
| Subjects | Science and Technology; energy conservation; modelling; analyses; software; OpenStudio® Analysis Framework; Buildings; Energy efficiency; Energy technology; Design |
| Illustrations | schematic representations; flow diagrams; screen captures; plots |
| Released | 2020 07 16 |
| Abstract | Full 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. |
| GEOSCAN ID | 326907 |
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