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.
| Original language | American English |
|---|---|
| Pages (from-to) | 487-500 |
| Number of pages | 14 |
| Journal | Journal of Building Performance Simulation |
| Volume | 13 |
| Issue number | 5 |
| DOIs | |
| State | Published - 2020 |
Bibliographical note
Publisher Copyright:© 2020, © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
NLR Publication Number
- NREL/JA-5500-76261
Keywords
- calibration
- OpenStudio Analysis Framework
- optimization
- Parametric analysis
- sensitivity analysis
- uncertainty quantification
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