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

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

doi:10.1080/19401493.2020.1778788

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

Journal Article · Thu Jul 16 00:00:00 EDT 2020 · Journal of Building Performance Simulation

DOI:https://doi.org/10.1080/19401493.2020.1778788· OSTI ID:1660121

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^[2];

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National Renewable Energy Lab. (NREL), Golden, CO (United States)
Performance Systems Development, Ithaca, NY (United States)
Natural Resources Canada, Ottawa, ON (Canada)

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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Research Organization:: National Renewable Energy Lab. (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 1660121

Alternate ID(s):: OSTI ID: 1665795

Report Number(s):: NREL/JA-5500-76261; MainId:5939; UUID:0ad42792-875d-ea11-9c31-ac162d87dfe5; MainAdminID:15130

Journal Information:: Journal of Building Performance Simulation, Vol. 13, Issue 5; ISSN 1940-1493

Publisher:: Taylor & FrancisCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 3 works

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

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