Abstract
A photovoltaic/thermal (PV/T) system containing a phase change material (PCM) layer located between two parallel air flow channels was numerically studied in the present research. With numerous numerical simulations, the effect of PCM layer thickness (ϕ=5–30 mm) and air mass flow rate (m˙a=0.0123–0.0368 kg/s) on system efficiency were determined. It was found that from the thermal point of view, it is better to have a smaller thickness of the PCM layer, while from the electrical point of view, the average thickness is more effective. The highest thermal efficiency (22.95–59.42 %) and the highest electrical efficiency (16.05–16.79 %) occurred in ϕ=5 mm and ϕ=20 m, respectively. Also, it was revealed that the increase in m˙a is associated with an increase in the overall efficiency. Among the examined cases, the highest overall efficiency (39.64–77.66 %) belonged to case of ϕ=5 mm and m˙a=0.0368 kg/s. After identifying this point, the artificial neural network method was used to determine the relationship that can predict the optimal overall efficiency at different hours and at different m˙a with an acceptable accuracy.
| Original language | English |
|---|---|
| Pages (from-to) | 229-236 |
| Number of pages | 8 |
| Journal | Engineering Analysis with Boundary Elements |
| Volume | 159 |
| DOIs | |
| State | Published - Feb 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Artificial neural network
- Overall efficiency
- Phase change material
- Photovoltaic/thermal system
- Simulation
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