Abstract :
The sustainable security of energy supply, led both developed and developing countries to make and implement new policies to improve efficiency in energy consumption, to adopt new alternatives like renewable energy systems. To face the economic, social, technological and environmental challenges, the need for energy conservation as well as for developing renewable technologies has become even more critical. Hybrid systems can be considered as a reasonable solution, capable to support systems that cover the energy demands of both stand-alone and grid connected consumers. Commonly, it consists of a mix of two or more energy sources used jointly to provide increased system efficiency as well as greater balance in energy supply. The aim of this paper is to present the architecture of a Decision Support System (DSS) that can be used for the hourly energy management of a mix of renewable energy systems. Specifically, an integrated model representing a hybrid energy generation system (characterized by solar plate collector, PV, wind and battery storage) connected to the grid is developed. The approach is based on mathematical modelling of each component, then an optimization problem is solved in order to better manage and control the energy flow so to ensure reliable supply of demand.
Keywords :
building management systems; decision support systems; energy consumption; optimisation; power engineering computing; renewable energy sources; buildings; decision support system; energy conservation; energy consumption; energy supply; grid connected consumers; renewable energy modelling; renewable energy optimization; sustainable security; Battery storage; DSS; Optimization; PV panels; Wind energy;
