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

Autor: J Burch; National Renewable Energy Laboratory (U.S.); et al
Editora: Golden, CO : National Renewable Energy Laboratory, [2012]
Séries: Conference paper (National Renewable Energy Laboratory (U.S.)), 5500-54540.
Edição/Formato   e-book : Documento : Publicação de conferência : Publicação de governo nacional : Inglês
Base de Dados:WorldCat
Resumo:
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  Ler mais...
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Detalhes

Tipo de Material: Publicação de conferência, Documento, Publicação do governo, Publicação de governo nacional, Recurso Internet
Tipo de Documento: Recurso Internet, Arquivo de Computador
Todos os Autores / Contribuintes: J Burch; National Renewable Energy Laboratory (U.S.); et al
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."
Descrição: 1 online resource (8 p.) : col. ill.
Detalhes: Full text available via Internet in .pdf format. Adobe Acrobat Reader required.
Título da Série: Conference paper (National Renewable Energy Laboratory (U.S.)), 5500-54540.
Responsabilidade: J. Burch ... [et al.].

Resumo:

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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