Solar Radiation Measurement Using Raspberry Pi and Its Modelling Using Artificial Neural Networks

Abstract

Abstract. The advent of solar energy as the best alternative to traditional energy sources has led to an extensive study on the measurement and prediction of solar radiation. Devices such as pyranometer, pyrrheliometer, global UV radiometer are used for the measurement of solar radiation. The solar radiation measuring instruments available at Innovation Center, MIT Manipal were integrated with a Raspberry Pi to allow remote access to the data through the university Local Area Network. The connections of the data loggers and the Raspberry Pi were enclosed in a plastic box to prevent damage from the rainfall and humidity in Manipal. The solar radiation data was used to validate an Artificial Neural Network model which was developed using various meterological data from 2011-2015.

Comparisons of Direct Normal Irradiation for the Optimization of Active Daylighting Systems

“…The intensity of solar radiation captured by a solar collector varies depending on the location and can be quantified using a variety of measuring devices, including pyranometers, pyrheliometers, and global UV radiometers [9,10]. These tools are employed to quantify various types of solar radiation, including diffuse radiation, global radiation, direct radiation, and reflected radiation.…”