Abstract
The accurate prediction of power generation by the PV system is crucial during the designing stage and subsequently in the operation and maintenance phase. It provides a reference to evaluate the performance of the PV system. PVSYST is widely accepted simulation software for the PV system in the industry. In this study, a comparison of PVSYST simulation results and experimentally collected data for fix oriented and azimuth tracking solar system is analyzed. Five clear sunny days are selected for each case. The hourly average data has been used for comparison. The deviation of predicted values in case of fix oriented and azimuth tracking solar systems is 2.14% and 2.74%, respectively. This variation is primarily due to the mismatch of predicted weather data with real conditions. The results have concluded that PVSYST is reliable software to use for the prediction of PV energy generation with an acceptable margin. Further, the adaptation of azimuth tracking for the solar system is feasible and improves the average power production by 17.28% as compared to the fix-oriented solar system in the hot and humid environment of the UAE.
| Original language | British English |
|---|---|
| Title of host publication | Modelling, Simulation and Intelligent Computing - Proceedings of MoSICom 2020 |
| Editors | Nilesh Goel, Shazia Hasan, V. Kalaichelvi |
| Publisher | Springer |
| Pages | 227-235 |
| Number of pages | 9 |
| ISBN (Print) | 9789811547744 |
| DOIs | |
| State | Published - 2020 |
| Event | International Conference on Modelling, Simulation and Intelligent Computing, MoSICom 2020 - Dubai, United Arab Emirates Duration: 29 Jan 2020 → 31 Jan 2020 |
Publication series
| Name | Lecture Notes in Electrical Engineering |
|---|---|
| Volume | 659 |
| ISSN (Print) | 1876-1100 |
| ISSN (Electronic) | 1876-1119 |
Conference
| Conference | International Conference on Modelling, Simulation and Intelligent Computing, MoSICom 2020 |
|---|---|
| Country/Territory | United Arab Emirates |
| City | Dubai |
| Period | 29/01/20 → 31/01/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Azimuth tracking
- PV system
- PVSYST
- Tracking system
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