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

Brian L. Ball, Nicholas Long, Katherine E. Fleming-Dutra, Chris Balbach, Phylroy Lopez

2020Journal of Building Performance Simulation31 citationsDOIOpen Access PDF

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.

Topics & Concepts

WorkflowScalabilityComputer scienceCloud computingInterface (matter)Scale (ratio)Energy modelingOpen sourceProcess (computing)Software engineeringSystems engineeringApplication programming interfaceDistributed computingData scienceEfficient energy useIndustrial engineeringDatabaseEngineeringSoftwareOperating systemBubbleQuantum mechanicsMaximum bubble pressure methodPhysicsElectrical engineeringBuilding Energy and Comfort OptimizationEnergy Efficiency and ManagementProbabilistic and Robust Engineering Design