Sustainable Energy for Smart Cities. First EAI International Conference, SESC 2019, Braga, Portugal, December 4–6, 2019, Proceedings

Research Article

Development of a Compact and Low-Cost Weather Station for Renewable Energy Applications

  • @INPROCEEDINGS{10.1007/978-3-030-45694-8_10,
        author={Jose Salgado and Miguel Feio and Luis Silva and Vitor Monteiro and Joao Afonso and Jose Afonso},
        title={Development of a Compact and Low-Cost Weather Station for Renewable Energy Applications},
        proceedings={Sustainable Energy for Smart Cities. First EAI International Conference, SESC 2019, Braga, Portugal, December 4--6, 2019, Proceedings},
        proceedings_a={SESC},
        year={2020},
        month={6},
        keywords={Weather station Solar photovoltaic modules Bluetooth Low Energy Mobile app},
        doi={10.1007/978-3-030-45694-8_10}
    }
    
  • Jose Salgado
    Miguel Feio
    Luis Silva
    Vitor Monteiro
    Joao Afonso
    Jose Afonso
    Year: 2020
    Development of a Compact and Low-Cost Weather Station for Renewable Energy Applications
    SESC
    Springer
    DOI: 10.1007/978-3-030-45694-8_10
Jose Salgado1, Miguel Feio1, Luis Silva1, Vitor Monteiro1, Joao Afonso1, Jose Afonso1,*
  • 1: University of Minho
*Contact email: jose.afonso@dei.uminho.pt

Abstract

This paper describes the development of a weather station integrating several sensors which allows the measurement and data storage of the following environmental parameters: solar irradiance, temperature, humidity, wind speed, and wind direction. The collected data is later transferred to a mobile device, where it is stored in a database and processed in order to be visualized and analyzed by the user. For such purpose, a dedicated mobile app was developed and presented along the paper. The weather station also integrates small solar photovoltaic modules of three different technologies: polycrystalline, monocrystalline and amorphous silicon. Based on that, the weather station also collects information that may be employed to help the user in determining the most suitable solar photovoltaic technology for installation in a particular location. The developed system uses a Bluetooth Low Energy (BLE) wireless network to transfer the data to the mobile device when the user approaches the weather station. The system operation was validated through experimental tests that encompass all the main developed features, from the data acquisition in the weather station, to the visualization in the mobile device.