A global monitoring system for electricity consumption and production of household roof-top PV systems in Madeira

• Autor(a) principal: Torabi, Roham
• Data de Publicação: 2018
• Outros Autores: Rodrigues, Sandy, Cafôfo, Nuno, Pereira, Lucas, Quintal, Filipe, Nunes, Nuno, Morgado-Dias, Fernando
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.13/4023
• topic: Roof-top PV system; Prediction; Artificial neural network; Monitoring system; .; Faculdade de Ciências Exatas e da Engenharia

This paper describes recent work on the development of a wireless-based remote monitoring system for household energy consumption and generation in Madeira Island, Portugal. It contains three different main sections: (1) a monitoring system for consumed and produced energy of residencies equipped with photovoltaic (PV) systems, (2) developing a tool to predict the electricity production, (3) and proposing a solution to detect the PV system malfunctions. With the later tool, the user (owner) or the energy management system can monitor its own PV system and make an efficient schedule use of electricity at the consumption side. In addition, currently, the owners of PV systems are notified about a failure in the system only when they receive the bill, whereas using the proposed method conveniently would notify owners prior to bill issue. The artificial neural network was employed as a tool together with the hardware-based monitoring system which allows a daily analysis of the performance of the system. The comparison of the predicted value of the produced electricity with the actual production for each day shows the validity of the method.