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Author Long, Nicholas,
Title Leveraging OpenStudio's application programming interfaces : preprint / Nicholas Long [and six others].
Imprint Golden, Colorado : National Renewable Energy Laboratory, 2013.

Author Long, Nicholas,
Series NREL/CP ; 5500-58520.
Conference paper (National Renewable Energy Laboratory (U.S.)) ; NREL/CP-5500-58520.
Subject United States. Department of Energy -- Computer programs.
Buildings -- Energy conservation -- Computer programs.
Buildings -- Energy consumption -- Computer programs.
Application program interfaces (Computer software)
Alt Name National Renewable Energy Laboratory (U.S.),
International IBPSA Conference (13th : 2013 : Chambéry, France)
Description 1 online resource (7 pages) : color illustrations.
polychrome rdacc
Note "November 2013."
Title from title screen (viewed on Apr. 18, 2014).
"Presented at the IBPSA Building Simulation Conference, Chambery, France, August 25-28, 2013."
Bibliography Note Includes bibliographical references (page 7).
Summary OpenStudio development efforts have been focused on providing Application Programming Interfaces (APIs) where users are able to extend OpenStudio without the need to compile the open source libraries. This paper will discuss the basic purposes and functionalities of the core libraries that have been wrapped with APIs including the Building Model, Results Processing, Advanced Analysis, Uncertainty Quantification, and Data Interoperability through Translators. Several building energy modeling applications have been produced using OpenStudio's API and Software Development Kits (SDK) including the United States Department of Energy's Asset ScoreCalculator, a mobile-based audit tool, an energy design assistance reporting protocol, and a portfolio scale incentive optimization analysis methodology. Each of these software applications will be discussed briefly and will describe how the APIs were leveraged for various uses including high-level modeling, data transformations from detailed building audits, error checking/quality assurance of models, and use of high-performance computing for mass simulations.
Note DE-AC36-08GO28308
OCLC # 877104783

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