
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Performance evaluation of self-cooling concentrating photovoltaics systems using nucleate boiling heat transfer

Performance evaluation of self-cooling concentrating photovoltaics systems using nucleate boiling heat transfer
Abstract In this study, nucleate boiling heat transfer (NBHT) based self-cooling thermal management system is designed and thermodynamically analyzed for high concentrating photovoltaics (CPV). The overall self-cooling system, consisting of two rows of CPV i.e. CPV 1 and CPV 2, iscoupled with the absorption cooling (AbC) system. Thermal energy from CPV 1 is supplied to AbC system to produce cooling, which is then used to reduce the temperature of CPV 2. Both CPV systems work simultaneously under the same solar energy conditions, hence, the demand and supply of energy are continuously in phase. Under the designed conditions, CPV 1, with an installed capacity of 66.4 kW, an operating temperature of 375.3 K and electrical efficiency of 35.5%, has the ability to cool down about 50.6 kW of CPV 2 system with an operating temperature of 335.8 K and 37.5% of electrical efficiency. A parametric study is performed to analyze the performance of the overall system at various working conditions and installed capacities. Furthermore, the designed system is analyzed for two different types of multi-junction solar cells and three different types of coolants: water, ethanol, and n-pentane. Due to higher latent heat, water has been proven to perform better working fluid with higher ability of concentration ratio. The optimum NBHT operating temperatures for CPV1 and CPV2 were found to be about 353 K and 349 K with maximum overall system efficiency of 36.64%.
- Qatar Foundation Qatar
- Hamad bin Khalifa University Qatar
- Qatar Foundation Qatar
- Hamad bin Khalifa University Qatar
- Khalifa University of Science and Technology United Arab Emirates
2 Research products, page 1 of 1
- 2019IsAmongTopNSimilarDocuments
- 2013IsAmongTopNSimilarDocuments
citations 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).26 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.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).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
