Numerical optimization and performance study of a photovoltaic/thermal module based on multi-stage V-type turbulators

Yong Zhang, Yang Zhao, Heng Zhang, Chao Cheng, Dan Gao, Haiping Chen and Jizhen Liu

Renewable Energy, 2025, vol. 252, issue C

Abstract: The utilization of solar energy is one of the important ways to ensure low-carbon energy transformation, and PV/T technology, as an efficient technology for utilizing solar energy, has received widespread attention in recent years. This paper proposes a photovoltaic/thermal (PV/T) module based on a multi-stage V-type turbulator, and explores the optimization design of the system through numerical simulation and experimental research. To improve thermal and electrical efficiency, the paper integrates a turbulence-enhancing V-type turbulator design and utilizes a Computational Fluid Dynamics (CFD) model for detailed system analysis. Experimental results show that the optimized PV/T system achieves a 9 %–12 % increase in electrical efficiency compared to conventional PV systems under standard solar irradiance conditions, with overall system efficiency exceeding 65 %. Through optimization using the Response Surface Methodology (RSM), the optimal turbulator design parameters were determined to be an angle α of 60°, an inclination angle β of 61.1°and a distance D of 0 mm. This article also compared three conventional channels to verify the heat transfer performance of the multi-stage V-shaped vortex generator PV/T.

Keywords: Solar energy; Photovoltaic/thermal; CFD; Turbulator; Response surface method (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148125012212
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:252:y:2025:i:c:s0960148125012212

DOI: 10.1016/j.renene.2025.123559

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 ().