Research Article
Design and Experimental Validation of a Compact Low-Cost Weather Station for Solar Photovoltaic Applications
@ARTICLE{10.4108/eai.2-12-2020.167290, author={Jose A. Salgado and Vitor Monteiro and J. G. Pinto and Joao L. Afonso and Jose A. Afonso}, title={Design and Experimental Validation of a Compact Low-Cost Weather Station for Solar Photovoltaic Applications}, journal={EAI Endorsed Transactions on Energy Web}, volume={8}, number={34}, publisher={EAI}, journal_a={EW}, year={2020}, month={12}, keywords={Weather Station, Solar Photovoltaic Modules, Maximum Power Point, Bluetooth Low Energy, Mobile App, Android}, doi={10.4108/eai.2-12-2020.167290} }
- Jose A. Salgado
Vitor Monteiro
J. G. Pinto
Joao L. Afonso
Jose A. Afonso
Year: 2020
Design and Experimental Validation of a Compact Low-Cost Weather Station for Solar Photovoltaic Applications
EW
EAI
DOI: 10.4108/eai.2-12-2020.167290
Abstract
This paper presents a compact low-cost weather station specially dedicated to renewable energy applications based on solar photovoltaic (PV) technologies. The main objective of the weather station is to verify which technology of solar PV modules would be more suitable for the specific location where the weather station is installed. Therefore, the developed weather station includes three technologies of PV modules (polycrystalline, monocrystalline, and amorphous silicon), each one connected to a dedicated DC-DC power converter with a maximum power point control (MPPC) functionality, as well as a set of sensors (solar irradiance, temperature, humidity, wind speed, and wind direction) used to measure the local weather. The acquired data is processed and stored locally in the weather station and, when necessary, the user can download the data to an Android mobile device through a Bluetooth Low Energy (BLE) wireless network connection using the developed mobile app, where the transferred data is stored in a SQLite database and can be visualized in graphs. Throughout the paper, the design of the developed weather station and the associated technologies are described, as well as the details of the mobile app. The developed system comprising the weather station and the mobile app was validated through a set of experimental tests ranging from the data acquisition to its visualization, as well as the achieved wireless data transfer performance.
Copyright © 2020 Jose A. Salgado et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.