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

Author: J Burch; National Renewable Energy Laboratory (U.S.)
Publisher: Golden, CO : National Renewable Energy Laboratory, [2012]
Series: Conference paper (National Renewable Energy Laboratory (U.S.)), 5500-54540.
Edition/Format:   eBook : Document : Conference publication : National government publication : English
Database:WorldCat
Summary:
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  Read more...
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Details

Material Type: Conference publication, Document, Government publication, National government publication, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: J Burch; National Renewable Energy Laboratory (U.S.)
OCLC Number: 808501106
Notes: Title from title screen (viewed Aug. 28, 2012).
"June 2012."
"Presented at the 2012 World Renewable Energy Forum, Denver, Colorado, May 13-17, 2012."
Description: 1 online resource (8 pages) : color illustrations.
Details: Full text available via Internet in .pdf format. Adobe Acrobat Reader required.
Series Title: Conference paper (National Renewable Energy Laboratory (U.S.)), 5500-54540.
Responsibility: J. Burch [and others].

Abstract:

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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