Prediction of the performance of solar heating systems over a range of storage capacities

A new method for prediction of the performance of solar heating systems using well-mixed storage is presented which predicts monthly and annual system performance (relative to a computer simulation) over a wide range of system variables including minimum or base storage temperature, storage capacity...

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Bibliographic Details
Published in:Solar energy 1979, Vol.23 (2), p.115-121
Main Author: Lunde, Peter J.
Format: Article
Language:English
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Summary:A new method for prediction of the performance of solar heating systems using well-mixed storage is presented which predicts monthly and annual system performance (relative to a computer simulation) over a wide range of system variables including minimum or base storage temperature, storage capacity, and geographic location. The method relies on heavily pre-processed site-specific radiation and weather data which is used with system properties to predict the quantities necessary for correlation. The method yields long-term monthly and annual performance predictions which are so accurate that they can serve simultaneously for preliminary design, economic optimization, and final design, eliminating the need for simulation.
ISSN:0038-092X
1471-1257
DOI:10.1016/0038-092X(79)90111-7