Análise Comparativa De Desempenho De Um Sistema Fotovoltaico Simulado Com as Ferramentas Pvsyst E Sam (system Advisor Model)
Year: 2022
Type: conference-paper
Abstract: To ensure the economic viability of photovoltaic systems, the forecast of energy generation is essential, being done with the aid of photovoltaic simulation software. Hence, efficient software is needed, with guaranteed reliability in terms of energy generation estimation. Among the most popular software, the System Advisor Model (SAM) is one of the few free software. Thus, the present work proposes to simulate a photovoltaic system in the SAM software and compare it with the PVsyst software, being considered a reference solution in the market. For this, a photovoltaic installation with an installed power of 336.96 kWp in the Multidisciplinary Gymnasium of UNICAMP was used as a reference. This system was implemented from the initiative of the Sustainable Campus program, which aims to carry out studies on energy efficiency and innovation at the university. Altogether, three simulations were carried out, two with different software, with the Meteonorm database, and the third with the SAM, with the NSRDB. The simulation results were compared with the actual monthly generation values of the photovoltaic system, over twelve months of collected data. The comparisons aimed to identify which software is the most optimistic and the most conservative, the accuracy of the software in relation to real generation data and reference values in the literature. According to the results obtained, the simulation that proved to be the most conservative was the SAM with meteorological data from Meteonorm and the most optimistic was also with the SAM, but with data from the NSRDB. Regarding the average annual percentage error, PVsyst got +6.36% error, SAM with Meteonorm got +11.18% and SAM with NSRDB, -1.21%. Thus, only the second simulation was above ±10%, the limit proposed by the literature, while the others showed results closer to the real generation.
Language: Portuguese
Field: Energy
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4389130212