@inproceedings{1f592657e6ff4a67a9dddb27b630512a,
title = "Experimental validation of pvsyst simulation for fix oriented and azimuth tracking solar pv system",
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.",
keywords = "Azimuth tracking, PV system, PVSYST, Tracking system",
author = "Ahmad, {Fahad Faraz} and Mohamed Abdelsalam and Hamid, {Abdul Kadir} and Chaouki Ghenai and Walid Obaid and Maamar Bettayeb",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd 2020.; International Conference on Modelling, Simulation and Intelligent Computing, MoSICom 2020 ; Conference date: 29-01-2020 Through 31-01-2020",
year = "2020",
doi = "10.1007/978-981-15-4775-1_25",
language = "British English",
isbn = "9789811547744",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer",
pages = "227--235",
editor = "Nilesh Goel and Shazia Hasan and V. Kalaichelvi",
booktitle = "Modelling, Simulation and Intelligent Computing - Proceedings of MoSICom 2020",
address = "Germany",
}