Home energy management benefits evaluation through fuzzy logic consumptions simulator

Abstract

In recent years the European Union and, moreover, Italy has seen a rapid growth in the photovoltaic (PV) sector, following the introduction of the feed in tariff (FIT) scheme known as Conto Energia. In July 2013 the Italian government definitively cut FITs, leaving only tax benefits and a revised net metering scheme (known as "Scambio sul Posto") for new PV installations. In this scenario, the design of a new PV plant ensuring savings on electricity bills is strongly related to household electricity consumption patterns. This paper presents a high-resolution model of domestic electricity use based on Fuzzy Logic Inference System. Using as inputs patterns of active occupancy and typical domestic habits, the fuzzy model give as output the likelihood to start each appliance within the next minute. The focus of this work is the use of this novel fuzzy model to correctly size a residential photovoltaic plant and evaluate the economic benefits of energy management actions in a case study. A cost benefits analysis is presented to quantify its effectiveness in the new net metering Italian scenario.

Analysis of energy management schemes for renewable-energy-based smart homes against the backdrop of COVID-19

“…This FLC-based controller demonstrated promising simulation results for reducing electricity usage. In [139] , a fuzzy technique-based generic electricity consumption model for residences was presented. It minimized the energy cost affiliated with the electricity usage routines of domestic appliances while incorporating a solar PV system in SHEMS.…”

Home Energy Management System Concepts, Configurations, and Technologies for the Smart Grid

“…In [136], the authors use FLC techniques to maximize comfort and minimize energy consumption. In [137], a solar plant is integrated with the DR system, and energy cost is reduced using fuzzy systems.…”

Modelling of Home Appliances Using Fuzzy Controller in Achieving Energy Consumption and Cost Reduction

“…The researcher utilized fuzzy procedures to demonstrate consumer comfort and forecast prices to reduce comfort levels and decrease power consumption in a building. A high-goal model of energy utilization for any building using fuzzy logic inference system is also introduced in [20]. Rajeswari and Janet [21] presented load scheduling in a home energy management system using fuzzy logic to reduce the power consumption, and thereby decrease the cost.…”