EVALUATION OF THE IMPACT OF DATA PERIOD AND RESOLUTION IN SITE ADAPTATION METHOD
A CASE STUDY FOR FLORIANÓPOLIS-SC
DOI:
https://doi.org/10.59627/cbens.2024.2498Keywords:
Site adaptation, solar resource, satellite-derived dataAbstract
For local assessments, the evaluation of solar resources is optimally conducted through measurements obtained from ground-based solar radiometric stations. However, in situations where the distance to the nearest station is substantial, the utilization of satellite data in the form of historical series becomes an ideal option, particularly for regional or continental-scale analyses. Despite the significant reliability demonstrated by satellite-based methods, they may still manifest noticeable discrepancies in comparison to values obtained from ground-based stations. With the objective of ensuring the reliability of photovoltaic energy generation outcomes at specific locations, a satellite data correction method, referred to as site adaptation, is implemented. This method incorporates ground-based measurements to minimize errors and enhance the agreement between satellite-derived data and ground-based measurements. The study aims to present the application of this method through linear regression, considering different irradiance ranges, using data from the solar radiometric station at the Laboratory Fotovoltaica/UFSC. This is accomplished by exploring various measurement periods and data resolutions to attain a more comprehensive and accurate understanding of the available solar resource. The results showed that, for a one-year period, data with a 60-minute resolution exhibited lower errors when compared to 30-minute data. Additionally, the method led to a greater adjustment of historical correction for satellite data (+4.16%) compared to the correction applied to 30-minute resolution data (+3.88%). Finally, when comparing different measurement periods, it was observed that the smallest errors occurred for the longer periods analyzed (4 and 5 years).
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