Implementação de algoritmo para identificação de estados de sombreamento e não sombreamento de nuvens Usando sensores de baixo custo

Abstract

In the current energy scenario, renewable energies such as solar and wind significant relevance. As far as solar energy is concerned, it is necessary to carry out a survey of data to establish on what days and what are the that there is a higher or lower level of shading, so that information to obtain a better use in energy capture. Having Given the importance of such information, an algorithm was implemented in SCILAB software which provides two states: shadow or non-shadow, from data obtained by the device MTIS, which is formed by a set of LDRs, sensors used for measurement of brightness. In addition, a statistical study was performed in which the results provided by the algorithm were confronted with those found by the pyreliometer equipment, being considered the calibration device. Different scenarios were considered to carry out the comparative study, this distinction having been provided by the change in the limit value to establish the transition occurrence due to the cloud, not cloud or if there has been no change of state. After this study, the percentage of correctness of the algorithm, evaluating whether or not there was an improvement in the due to the variation in the limit value, and with this checking the feasibility of using the algorithm as a means of achieving results in a practical and easy way. In the end, the percentages of average hits assumed values ​​ranging from 33.87% to 79.23%.