Abstract
Monitoring and data acquisition are essential to recognize the renewable resources available on-site, evaluate electrical conversion efficiency, detect failures, and optimize electrical production. Commercial monitoring systems for the photovoltaic system are generally expensive and closed for modifications. This work proposes a low-cost real-time internet of things system for micro and mini photovoltaic generation systems that can monitor continuous voltage, continuous current, alternating power, and seven meteorological variables. The proposed system measures all relevant meteorological variables and directly acquires photovoltaic generation data from the plant (not from the inverter). The system is implemented using open software, connects to the internet without cables, stores data locally and in the cloud, and uses the network time protocol to synchronize the devices’ clocks. To the best of our knowledge, no work reported in the literature presents these features altogether. Furthermore, experiments carried out with the proposed system showed good effectiveness and reliability. This system enables fog and cloud computing in a photovoltaic system, creating a time series measurements data set, enabling the future use of machine learning to create smart photovoltaic systems.
Highlights
The share of renewable energies in electricity generation has been growing worldwide.In 2019, there was an increase of 200 gigawatts of renewable energy in the world energy matrix, with photovoltaic energy being responsible for 57.5% of this increase according to [1]
This paper presents the design, development, and validation of a low-cost Internet of Things (IoT) data acquisition system that focuses on real-time monitoring of photovoltaic energy generation and the main meteorological factors that influence the generation
The connection of the strings is made through a direct current (DC)/alternating current (AC) inverter with a nominal power of 5000 wind speed (Ws), reaching a maximum peak of 6500 W
Summary
Gustavo Costa Gomes de Melo 1, * , Igor Cavalcante Torres 2 , Ícaro Bezzera Queiroz de Araújo 1 , Davi Bibiano Brito 1 and Erick de Andrade Barboza 1. A Low-Cost IoT System for RealTime Monitoring of Climatic Variables
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