Energy Hub (EH) is a promising concept to model interactions among multiple energy carriers and exploit their synergies at the local level. To achieve benefits of such systems, optimal energy management is crucial and should capture renewables stochasticity, while also establishing a multi-objective approach to satisfy economic and environmental constraints. This paper presents a stochastic energy management model for the Italian Campus EH of Marche Polytechnic University, involving multiple energy carriers and distributed technologies. A multi-objective optimization is performed under a stochastic approach to consider PV generation uncertainties, and a mixed-integer linear programming model is formulated for the optimization of the operation strategies of the distributed technologies and of the bidding strategies of the EH in the day-ahead market, accounting for net energy costs and carbon emissions reduction. Through the results, it is demonstrated that the proposed model significantly improves daily economic and environmental performance by 3-10% compared to the current case.
Stochastic energy management for the Italian UNIVPM campus as a multi-carrier energy hub participating in the day-ahead market
Di Somma M.;Buonanno A.;Caliano M.;Rossi M.;Graditi G.;
2023-01-01
Abstract
Energy Hub (EH) is a promising concept to model interactions among multiple energy carriers and exploit their synergies at the local level. To achieve benefits of such systems, optimal energy management is crucial and should capture renewables stochasticity, while also establishing a multi-objective approach to satisfy economic and environmental constraints. This paper presents a stochastic energy management model for the Italian Campus EH of Marche Polytechnic University, involving multiple energy carriers and distributed technologies. A multi-objective optimization is performed under a stochastic approach to consider PV generation uncertainties, and a mixed-integer linear programming model is formulated for the optimization of the operation strategies of the distributed technologies and of the bidding strategies of the EH in the day-ahead market, accounting for net energy costs and carbon emissions reduction. Through the results, it is demonstrated that the proposed model significantly improves daily economic and environmental performance by 3-10% compared to the current case.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
