Browsing by Author "Mota, Mickael"
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- An IoT-Based Framework for Monitoring Photovoltaic BatteriesPublication . Sarmento, Gonçalo; Cardoso, Filipe; Mota, Mickael; Henriques, João; Abbasi, Maryam; Martins, Pedro; Wanzeller, Cristina; Caldeira, FilipeThe need for a more sustainable world is increasing the number of installations of photovoltaic systems including batteries as a way to postpone energy consumption when it is most needed. However, the chemical nature of batteries makes them unreliable and prompt to dangerous situations and can lead to a potential disaster, such as fires and explosions, in case the underline issues keep undetected for a long time. To overcome this scenario is a proposed framework for monitoring the temperature and voltage of batteries enabled by acquired data from Internet of Things (IoT) sensors. In case of these values become abnormal, a notification is triggered. The experimental results demonstrate the feasibility of the proposed framework to detect and notify hazard situations caused by battery faults.
- IoT-Based Monitoring System for Photovoltaic Battery ManagementPublication . Sarmento, Gonçalo; Cardoso, Filipe; Mota, Mickael; Henriques, João; Abbasi, Maryam; Martins, Pedro; Wanzeller, Cristina; Caldeira, FilipeAs number of photovoltaic systems being installed is increasing, also many users are deciding to include batteries, and postpone the consumption of that energy when it is most needed. Moreover,a crucial issue can keep undetected for long time causing dangerous situation which can lead to a potential disaster. However, the chemical nature of batteries makes them unreliable and dangerous. In this risky scenario, it becomes essential to monitor their behaviour in order to avoid accidents. In that purpose, a enabled Internet of Things (IoT) framework is proposed for monitoring the batteries values for temperature and voltage through the use of sensors. If these values becomes abnormal, a notification is triggered to the responsible person. Based on experimental results, the proposed framework to detect and notify hazard situations caused by battery faults.