Numerical analysis of Roll Bond Photovoltaic Thermal working as a condenser during nighttime

Pie Basalike, Wang Peng, Jili Zhang and Shixiang Lu

Renewable Energy, 2022, vol. 181, issue C, 194-206

Abstract: The current study analyses the heat transfer characteristics of Roll Bond Photovoltaic Thermal (RB-PVT) unit. In PVT heat pump system, RB-PVT unit acts as a condenser to recover the waste heat of solar energy resource especially by taking advantages of natural cold of the sky, during nighttime. A 3D model of the RB-PVT unit was numerically investigated. Firstly, model validity was ensured with a 7.25% maximum discrepancy among simulation and experiment results. Secondly, a validated model was re-designed to the optimum dimensions and a reduction in size of RB-PVT unit system was achieved. With this reduction, either the costs are minimized or more systems are fitted in the same area. The maximum heat dissipation flux of an optimized model was determined to be 12.5% more than that of the experiment. The increase in heat dissipation flux of an optimized RB-PVT unit model may speed up ice formation process and thereby meeting the cooling load demand. Lastly, a sensitivity analysis based on an optimized RB-PVT unit model was carried out to propose the optimum operating parameters in terms of weather and refrigerant flow.

Keywords: RB-PVT condenser; Natural cold; Numerical study; Model validity; Design; Optimization (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148121013598
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:181:y:2022:i:c:p:194-206

DOI: 10.1016/j.renene.2021.09.061

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().