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Revisions to the SRCC rating process for solar water heaters : preprint

Autor: J Burch; National Renewable Energy Laboratory (U.S.)
Editorial: Golden, CO : National Renewable Energy Laboratory, [2012]
Serie: Conference paper (National Renewable Energy Laboratory (U.S.)), 5500-54540.
Edición/Formato:   Libro-e : Documento : Publicación de conferencia : Publicación gubernamental nacional : Inglés (eng)
Base de datos:WorldCat
Resumen:
In the United States, annual performance ratings for solar water heaters are computed with component-based simulation models driven by typical meteorological year weather and specified water draw. Changes in the process are being implemented to enhance credibility through increased transparency and accuracy. Changes to the process include using a graphical rather than text-based model-building tool, performing  Leer más
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Detalles

Tipo de material: Publicación de conferencia, Documento, Publicación gubernamental, Publicación gubernamental nacional, Recurso en Internet
Tipo de documento: Recurso en Internet, Archivo de computadora
Todos autores / colaboradores: J Burch; National Renewable Energy Laboratory (U.S.)
Número OCLC: 808501106
Notas: Title from title screen (viewed Aug. 28, 2012).
"June 2012."
"Presented at the 2012 World Renewable Energy Forum, Denver, Colorado, May 13-17, 2012."
Descripción: 1 online resource (8 pages) : color illustrations.
Detalles: Full text available via Internet in .pdf format. Adobe Acrobat Reader required.
Título de la serie: Conference paper (National Renewable Energy Laboratory (U.S.)), 5500-54540.
Responsabilidad: J. Burch [and others].

Resumen:

In the United States, annual performance ratings for solar water heaters are computed with component-based simulation models driven by typical meteorological year weather and specified water draw. Changes in the process are being implemented to enhance credibility through increased transparency and accuracy. Changes to the process include using a graphical rather than text-based model-building tool, performing analytical tests on all components and systems, checking energy balances on every component, loop, and system at every time step, comparing the results to detect outliers and potential errors, and documenting the modeling process in detail. Examples of changes in ratings are shown, along with analytical and comparative testing results.

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