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Case Studies in Thermal Engineering
Article . 2020 . Peer-reviewed
License: CC BY NC ND
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Case Studies in Thermal Engineering
Article
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Optimizing solar cooling systems

Authors: Shehadi, Maher;

Optimizing solar cooling systems

Abstract

This papers discusses solar powered absorption cycle performance by simulating different component temperatures. The main components that were investigated included a generator, condenser, absorber and evaporator. The COP was optimized against the generator temperature while varying the other temperatures one at a time. The considered range for the generator temperature was 55–85°C (131–185 F). The optimum value for the evaporator temperature was 10°C (50 F), while that for the condenser and absorber was 30°C (86 F). The optimized COP was around 0.776 with the above selected components' temperatures and for generator temperatures higher than 70°C (158 F). A simulation for the proposed optimized system was run for a 250 m2 (2691 ft2) house located in Indiana, USA and it was found that 13 solar collectors, having a 2 m2 (21.5 ft2) surface area each, were needed to run the generator along with a storage tank ranging in size from 1300 to 1700 L (343–450 gallons). The initial cost for such systems is much higher than that for conventional cooling systems, but the savings from the sustainable running cost offsets such higher initial costs over the long time. With the significant drop in collector prices and available incentives from the government and state agencies to use such sustainable systems, the payback period could be significantly improved.

Country
United States
Keywords

Solar cooling, 330, Absorption cycles, Conventional vapor compression, Energy conservation, Solar collectors, Engineering (General). Civil engineering (General), 620, TA1-2040

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Top 10%
Green
gold