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Author Long, Nicholas, author.

Title Using models to provide predicted ranges for building-human interfaces : preprint / Nicholas Long [and three others].

Publication Info. [Golden, Colo.] : National Renewable Energy Laboratory, September 2013.

Copies

Location Call No. OPAC Message Status
 Axe Federal Documents Online  E 9.17:NREL/CP-5500-58521    ---  Available
Description 1 online resource (8 pages) : color illustrations.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series Conference paper ; NREL/CP-5500-58521
Conference paper (National Renewable Energy Laboratory (U.S.)) ; E 9.17/NREL/CP-5500-58521.
Note Published through SciTech Connect.
"September 2013."
"Presented at the 2013 Building Simulation Conference, Chambery, France, 25-28 August 2013."
Bibliography Includes bibliographical references (page 8).
Summary Most building energy consumption dashboards provide only a snapshot of building performance; whereas some provide more detailed historic data with which to compare current usage. This paper will discuss the Building Agent(tm) platform, which has been developed and deployed in a campus setting at the National Renewable Energy Laboratory as part of an effort to maintain the aggressive energy performance achieved in newly constructed office buildings and laboratories. The Building Agent(tm) provides aggregated and coherent access to building data, including electric energy, thermal energy, temperatures, humidity, and lighting levels, and occupant feedback, which are displayed in various manners for visitors, building occupants, facility managers, and researchers. This paper focuses on the development of visualizations for facility managers, or an energy performance assurance role, where metered data are used to generate models that provide live predicted ranges of building performance by end use. These predicted ranges provide simple, visual context for displayed performance data without requiring users to also assess historical information or trends. Severng techniques were explored including static lookup-based performance targets, reduced-order models derived from historical data using main effect variables such as solar radiance for lighting performance, and integrated energy models using a whole-building energy simulation program.
Funding DE-AC36-08GO28308
Subject Buildings -- Energy consumption -- Monitoring -- United States.
Energy Conservation, Consumption, And Utilization.
Genre/Form Online resources.
Electronic books.
Electronic government information.
Added Author National Renewable Energy Laboratory (U.S.), issuing body.
United States. Department of Energy. Office of Scientific and Technical Information. Distributor.
Gpo Item No. 0430-P-04 (online)
Sudoc No. E 9.17:NREL/CP-5500-58521

 
    
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