Open AccessA Low-cost System for High-frequency Solar Imagery and Power Data Acquisition
Author(s) -
Guilherme Fonseca Bassous,
Rodrigo Flora Calili,
Carlos Roberto Hall Barbosa
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1826/1/012082
Subject(s) - renewable energy , intermittency , data acquisition , computer science , solar power , solar energy , photovoltaic system , energy (signal processing) , power (physics) , meteorology , engineering , electrical engineering , mathematics , statistics , turbulence , physics , quantum mechanics , operating system
With advances in solar energy research and increasingly accurate forecast techniques, intermittency no longer stands as a barrier to the adoption of solar energy. Coupling reliable data and knowledge on the inherent variability of the solar resource with advanced learning and forecast models, renewable energy can take an even bigger role in today’s energy paradigm. The objective of this work is to develop and test a low-cost data acquisition system able to provide relevant data for solar energy forecast models. The results yielded from the performed tests indicate high correlation between image derived attributes and power measurements 20 s ahead.