Performance of grid-connected photovoltaic systems in Northern and Southern Hemispheres under equatorial climate
Authors/Creators
- 1. Universiti Teknologi MARA (UiTM) Shah Alam
- 2. Solar Photovoltaic Energy Conversion Technology and Research Application (SPECTRA), Universiti Teknologi MARA (UiTM) Shah Alam
- 3. Tropical Renewable Energy Center, Faculty of Engineering, Universitas Indonesia
- 4. Department of Metallurgical and Materials Engineering, Faculty of Engineering, Universitas Indonesia
- 5. College of Engineering, Universiti Teknologi MARA (UiTM) Cawangan
- 6. College of Engineering, Universiti Teknologi MARA (UiTM) Shah Alam
- 7. Faculty of Applied Sciences, Universiti Teknologi MARA (UiTM) Shah Alam
Description
This work studied the actual and simulated technical performance between two grid-connected photovoltaic (GCPV) systems representing opposite latitudes. The system with a capacity of 5.4 kWp installed in Kelantan, Malaysia represents the northern equator, and the 183.6 kWp system installed in Cikarang, Indonesia, denotes the southern equator. The performance was simulated using PVsyst software, which included the energy output (Eout), reference yield (Yr), final yield (Yf), performance ratio (PR), and capacity factor (CF). The mean bias error (MBE) between the actual and simulated technical performance were as follows; for system A, the yearly MBE for the Eout, Yr, Yf, PR, and CF were -0.4%, 17.1%, -1.4%, -15.8%, and 1.4%, respectively, and for system B, the Eout, Yr, Yf, PR, and CF values were 9.80%, 18.3%, 10.0%, -7.2%, and 10.0% respectively. The results have proven that PVsyst has successfully simulated the yearly Eout, Yf and CF for both systems including PR, for system B, with MBE less than 10%. However, it is noteworthy to highlight that PVsyst significantly overestimated the Yr of both systems up to 18.3% and conversely underestimated the PR for system A by 15.8%, which highly likely caused by the Meteonorm imported weather data.
Files
20 23005.pdf
Files
(1.0 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:e4df510fe64de604bb6a520a6c8e96a2
|
1.0 MB | Preview Download |