This paper proposes an optimised Energy Management System for a multi-carrier hub, which integrates two energy distribution networks, for hydrogen and electricity. The economic sustainability of a real-life instantiation of such a system has been analysed as well. The Energy Management System has been developed by means of a multi-objective optimisation algorithm, the Non-dominated Sorting Genetic Algorithm II, implemented using MATLAB®. The achieved results consist in a series of set-points defining the working conditions of the plant for a chosen time horizon. Data provided by this process also show the effectiveness of the adopted optimisation approach. The financial analysis is performed taking into account costs and revenues of a real demonstration plant. These cash flows have been evaluated by means of Net Present Value index. The proposed analysis shows a possible solution that is profitable for stakeholders and guarantees a short Pay Back Time
Paternò, G., Riva Sanseverino, E., Ippolito, M.G., Bertoncini, M., Arnone, D., Rossi, A. (2016). Smart multi-carrier energy system: Optimised energy management and investment analysis. In 2016 IEEE International Energy Conference (ENERGYCON) [10.1109/ENERGYCON.2016.7513926].
Smart multi-carrier energy system: Optimised energy management and investment analysis
Paternò, Giuseppe;RIVA SANSEVERINO, Eleonora;IPPOLITO, Mariano Giuseppe;
2016-01-01
Abstract
This paper proposes an optimised Energy Management System for a multi-carrier hub, which integrates two energy distribution networks, for hydrogen and electricity. The economic sustainability of a real-life instantiation of such a system has been analysed as well. The Energy Management System has been developed by means of a multi-objective optimisation algorithm, the Non-dominated Sorting Genetic Algorithm II, implemented using MATLAB®. The achieved results consist in a series of set-points defining the working conditions of the plant for a chosen time horizon. Data provided by this process also show the effectiveness of the adopted optimisation approach. The financial analysis is performed taking into account costs and revenues of a real demonstration plant. These cash flows have been evaluated by means of Net Present Value index. The proposed analysis shows a possible solution that is profitable for stakeholders and guarantees a short Pay Back TimeFile | Dimensione | Formato | |
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