A Comparison Among Different Parameters for the Design of a Photovoltaic/Thermal System Using Computational Fluid Dynamics
| Autor: | S. Abdollahpoor, Payman Salami, H. Behfar, Y. Ajabshirchi |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Velocity magnitude
Materials science Fin PhotoVoltaic/Thermal (PV/T) Energy Efficiency Fluent software 020209 energy 02 engineering and technology Computational fluid dynamics 020401 chemical engineering Control theory lcsh:Technology (General) Thermal 0202 electrical engineering electronic engineering information engineering Duct (flow) 0204 chemical engineering Computational Fluid Dynamics (CFD) lcsh:T58.5-58.64 lcsh:Information technology business.industry Photovoltaic system Mechanics lcsh:TA1-2040 lcsh:T1-995 lcsh:Engineering (General). Civil engineering (General) business Nonlinear regression |
| Zdroj: | Engineering, Technology & Applied Science Research, Vol 6, Iss 5 (2016) Engineering, Technology & Applied Science Research, Vol 6, Iss 5, Pp 1119-1123 (2016) |
| ISSN: | 1792-8036 2241-4487 |
| DOI: | 10.48084/etasr.667 |
| Popis: | The purpose of this paper is to compare several fins, duct height, and velocity magnitudes to acquire a PhotoVoltaic/Thermal system designed through Computational Fluid Dynamics. Simulation of different fins (rectangular, trapezoidal, curved, and pin) with different distances among fins is performed in Fluent software. The parameters such as duct height (4, 6, 8, and 10 centimeters) and velocity magnitudes (0.5, 1, 2, and 3 m/s) are also simulated. According to the results the highest cell temperature was 51°C at 0.5 m/s, while the best result was 33°C achieved with 4 cm duct height, rectangular fin and 3 m/s velocity magnitude. The findings suggest that the maximum cell temperature at the rate of 0.5 m/s is 51 °C, whereas temperature conducive to the best outputs is 33 °C. Differences among the cell temperatures through the various duct and the different fin types were significant at 1% level, also velocity magnitude would be cardinal at 1% level. A logarithmic regression model has been proposed to getting the cell temperature estimated by velocity magnitude. |
| Databáze: | OpenAIRE |
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