PERFORMANCE ANALYSIS OF THE GRID-CONNECTED PHOTOVOLTAIC SYSTEM OF IFAM CAMPUS MANAUS CENTRO IN ITS FIRST YEAR OF OPERATION
DOI:
https://doi.org/10.59627/cbens.2022.1044Keywords:
Solar Energy, Performance, AmazonAbstract
This article addresses the performance analysis and monitoring of a photovoltaic system connected to the grid through the calculation of merit indices and the projection of energy generation. The study was applied to the photovoltaic system, more than a year in operation, of the Federal Institute of Education Science and Technology of Amazonas (IFAM) Campus Manaus Centro. The objective was to calculate the Productivity, the Performance Ratio, and the Capacity Factor from the real data of the system's generation and the solar irradiation data provided by the National Institute for Space Research (INPE). Although preceded by forecasts and projects, installations of photovoltaic systems are subject to loss of performance for various reasons. Energy losses can occur due to errors inherent to the transposition model, classification of modules, dust, dirt, and others, and may exceed 8.7% in the first year. Such losses directly affect the energy generated, and performance monitoring is essential. In the present analysis, the real data of energy generation of the first twelve months of operation were collected and, by a computationally implemented model, the energy generation of the system under study was simulated. The average irradiation data for the period were gathered and converted to the photovoltaic modules plan, enabling the calculation of merit indices. It was observed, for an average irradiation of 4.28 kWh/m².day, in the plan of the modules for the first year of operation, the productivity (Y) of 1,254.34 kWh/kWp with a performance ratio (PR) of 80, 29% and capacity factor of 14.32%. The results of energy generated in the real system and the energy predicted by computer simulation showed significant disparities in specific months. We suggest, in future approaches, the generation of the I-V curve to verify possible anomalies or malfunctions in specific modules associated with the installation's panels.
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