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Smart multi-carrier energy system: Optimised energy management and investment analysis

Authors :
Eleonora Riva Sanseverino
Diego Arnone
Mariano Giuseppe Ippolito
Massimo Bertoncini
Giuseppe Paterno
Alessandro Rossi
PaternĂ², G
Riva Sanseverino, E
Ippolito, M G
Bertoncini, M
Arnone, D
Rossi, A
Source :
2016 IEEE International Energy Conference (ENERGYCON).
Publication Year :
2016
Publisher :
IEEE, 2016.

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 Time.

Details

Database :
OpenAIRE
Journal :
2016 IEEE International Energy Conference (ENERGYCON)
Accession number :
edsair.doi.dedup.....1426e68e6542e61a17862d3f6afc01f2