Open AccessLow-cost data logging device to measure irradiance based on a Peltier cell and artificial neural networks
Author(s) -
E. Palo-Tejada,
Victoria Campos-Falcon,
M. Merma,
Eber Huanca
Publication year - 2020
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 - 10.1088/1742-6596/1433/1/012008
Subject(s) - pyranometer , irradiance , data logger , solar irradiance , thermoelectric generator , photovoltaic system , artificial neural network , environmental science , measure (data warehouse) , computer science , remote sensing , automotive engineering , thermoelectric effect , electrical engineering , engineering , artificial intelligence , meteorology , data mining , optics , physics , geology , thermodynamics , operating system
The measurement of solar irradiance is one of the most important variables for ensuring working conditions at maximum power (MPPT) in a photovoltaic system (PV). In this work, a pyranometer is constructed to measure solar irradiance using a Peltier cell as a thermoelectric generator (TEG), an absolute temperature sensor and a feedforward neural network. The instrument is a low-cost data logger that runs on 3 AAA batteries, has an autonomy of up to 1 year and can record up to 65 000 irradiation data points at programmable time intervals.