Green energies are establishing themselves as a training sector in the last decade, enabling economic and technological opportunities still to be investigated. This article proposes a solution for energy management, merging photovoltaics and storage systems, focusing on the city urban environment and taking as the main case study the typical multi-storey building characterized by high density of households. The proposed solution optimizes the cost of the electrical bill using a predictive algorithm, stem from an economical analysis based on the production and consumption of the system.

Software-based solutions for the optimization of a building electric bill using integrated PV and storage systems: a case study

Terranova, Vito;Niccolai, Alessandro;Grimaccia, Francesco
2021-01-01

Abstract

Green energies are establishing themselves as a training sector in the last decade, enabling economic and technological opportunities still to be investigated. This article proposes a solution for energy management, merging photovoltaics and storage systems, focusing on the city urban environment and taking as the main case study the typical multi-storey building characterized by high density of households. The proposed solution optimizes the cost of the electrical bill using a predictive algorithm, stem from an economical analysis based on the production and consumption of the system.
2021
2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
978-1-6654-3613-7
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1203375
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