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An open source analysis framework for large-scale building energy modeling

Ball, Brian L.·Long, Nicholas·Fleming, Katherine·Balbach, Chris·Lopez, Phylroy
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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.

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32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATIONOpenStudio Analysis Frameworkbuildingscalibrationoptimizationparametric analysissensitivity analysisuncertainty quantification

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Ball, Brian L., Long, Nicholas, Fleming, Katherine, Balbach, Chris, Lopez, Phylroy. 2020-07-16. An open source analysis framework for large-scale building energy modeling. https://doi.org/10.1080/19401493.2020.1778788

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