Gaussian Approach to Compare Crystalline Solar Panel Performance
Published at : 29 Jul 2015
Volume : IJtech
Vol 6, No 3 (2015)
DOI : https://doi.org/10.14716/ijtech.v6i3.1474
Setiawan, E.A., KurniawanSetiawan, A., 2015. Gaussian Approach to Compare Crystalline Solar Panel Performance. International Journal of Technology. Volume 6(3), pp. 336-344
| Eko Adhi Setiawan | Tropical Renewable Energy Center (TREC), Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, Indonesia |
| Kurniawan | Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, Indonesia |
| Aiman Setiawan | Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, Indonesia |
The performance of solar panels is determined based on the Maximum Power Output and the Fill Factor (FF) under a Standard Test Condition (STC). STC is a standard test condition in which the solar panels ideally work. STC testing methods do not consider the factors that affect the performance of solar panels, such as solar radiation and temperature changes. This study discusses a method that is simple and easy to determine the performance of crystalline solar panels. This method is based on comparison of the normal cumulative probability distribution of the Fill Factor on radiation and temperature variations to STC conditions. The experiment shows that A-180 Photovoltaic (PV) has a better performance rating than B-180 PV with a probability ratio of 27.12% and 16.09, respectively. The Gaussian Method which is used also can be verified by maximum power measurement at radiation of 1000 W/m2. Results show that A-180 PV has a better power ratio with 81.55%, which is higher than B-180 PV with 78.6%.
Fill Factor, Gaussian approach; Photovoltaic, Solar characteristics analyzer, Solar panel performance, Solar radiation, Standard Test Condition, Temperature
Green, M.A., 1998. Solar Cells Operating Principles, Technology and System Applications. Kensington: The University of New South Wales
Chung-Lin, Yuan, C.H., Hsiu-chen L., 2013. Study of the Efficiency Improvement in Power Generation from Photovoltaic. In: Proceedings of the IEEE 17th International Conference on Computer Supported Cooperative Work in Design
Michael Grätzel, 2001. Photoelectrochemical Cells. NATURE, Volume 414(15), pp. 338-344
Bowden, S., Honsberg, C., 2013. Instructions on Photovoltaic. Available at http://www.pveducation.org/
Adrian, D.W., Setiawan, E.A., 2015. New Approach to Determining Mathematical Equations for Optimum Tilt Angle of Solar Panels in Indonesia and Its Economic Impact. International Journal of Technology, Volume 6(2), pp. 180-189
Raina, G., Mumbai, N., Hedau, R., 2013. A Novel Technique for PV Panel Performance Prediction. IJCA Proc. Int. Conf. Work. Emerg. Trends Technol. 2013, Volume ICWET (4), pp. 19–24