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Cooling Techniques for Performance Improvement of PV Systems

Authors: Megna Rajagopal; Apurv Yadav; Abhishek Singh;

Cooling Techniques for Performance Improvement of PV Systems

Abstract

Upon studying photovoltaic (PV) systems, we find that they are contradictory. They require sunlight most importantly for the generation of electricity. But, as the temperature keeps increasing, the performance of the panel degrades. This paperwork is a review and compilation of systems used for cooling PV systems and in turn increasing efficiency. The goals of most researches were to increase efficiency as well as to ensure longer life of the panels. Cooling systems of two forms are used: active as well as passive cooling systems. Cooling systems that fall under the active category with better performance, increase electrical efficiency to 22 percent maximum and reduces the panel temperature to as high as 30°C. Whereas, cooling systems that fall in the passive category, enhance electrical efficiency to 15.5 percent and we may see a reduction of 6 to 20 °C in the module temperature. With the increase in usage of PV systems, using the optimized cooling system is becoming of importance.

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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
5
Top 10%
Average
Average
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