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.

Highlights

  • With the increasing energy demands and depleting fossil fuels, a primary importance has been given to the development of alternate renewable energy sources

  • Instead of using a single RS232 to USB adapter two adapters are used in order to prevent interference of the two RS232 signals.The box consists of the Raspberry Pi, the two data loggers, the adapters and various components used to complete the connections

  • A successful integration of the solar radiation equipments with a Raspberry Pi was made, whereby remote access to the data was enabled

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Summary

Introduction

With the increasing energy demands and depleting fossil fuels, a primary importance has been given to the development of alternate renewable energy sources. A knowledge of the solar radiation incident on the surface of the earth is of utmost importance for engineers, scientists and architects associated with the design of solar energy systems [3]. Various solar radiation measuring instruments such as pyranometer, pyrheliometer, UV radiometer, etc are employed for collection of incident solar radiation data at a specific location. Owing to high cost of installation and maintenance of these instruments, solar radiation measurement is not feasible in all locations. The data obtained from the stations installed with these solar radiation measuring instruments are used to formulate different models for the prediction of solar radiation in different places

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