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

Mariano Giuseppe Ippolito; Eleonora Riva Sanseverino; Giuseppe Paternò; Massimo Bertoncini; Diego Arnone; Alessandro Rossi; Giuseppe Paterno

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

Mariano Giuseppe Ippolito, Eleonora Riva Sanseverino, Giuseppe Paternò, Massimo Bertoncini, Diego Arnone, Alessandro Rossi, Giuseppe Paterno

Ingegneria

Research output: Contribution to conference › Other › peer-review

7 Citations (Scopus)

Abstract

This paper proposes an optimised EnergyManagement System for a multi-carrier hub, which integratestwo energy distribution networks, for hydrogen and electricity.The economic sustainability of a real-life instantiation of such asystem has been analysed as well. The Energy ManagementSystem has been developed by means of a multi-objectiveoptimisation algorithm, the Non-dominated Sorting GeneticAlgorithm II, implemented using MATLAB®. The achievedresults consist in a series of set-points defining the workingconditions of the plant for a chosen time horizon. Data providedby this process also show the effectiveness of the adoptedoptimisation approach. The financial analysis is performedtaking into account costs and revenues of a real demonstrationplant. These cash flows have been evaluated by means of NetPresent Value index. The proposed analysis shows a possiblesolution that is profitable for stakeholders and guarantees a shortPay Back Time

Original language	English
Number of pages	6
Publication status	Published - 2016

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Energy Engineering and Power Technology
Electrical and Electronic Engineering

Cite this

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title = "Smart multi-carrier energy system: Optimised energy management and investment analysis",

abstract = "This paper proposes an optimised EnergyManagement System for a multi-carrier hub, which integratestwo energy distribution networks, for hydrogen and electricity.The economic sustainability of a real-life instantiation of such asystem has been analysed as well. The Energy ManagementSystem has been developed by means of a multi-objectiveoptimisation algorithm, the Non-dominated Sorting GeneticAlgorithm II, implemented using MATLAB{\textregistered}. The achievedresults consist in a series of set-points defining the workingconditions of the plant for a chosen time horizon. Data providedby this process also show the effectiveness of the adoptedoptimisation approach. The financial analysis is performedtaking into account costs and revenues of a real demonstrationplant. These cash flows have been evaluated by means of NetPresent Value index. The proposed analysis shows a possiblesolution that is profitable for stakeholders and guarantees a shortPay Back Time",

author = "Ippolito, {Mariano Giuseppe} and {Riva Sanseverino}, Eleonora and Giuseppe Patern{\`o} and Massimo Bertoncini and Diego Arnone and Alessandro Rossi and Giuseppe Paterno",

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TY - CONF

T1 - Smart multi-carrier energy system: Optimised energy management and investment analysis

AU - Ippolito, Mariano Giuseppe

AU - Riva Sanseverino, Eleonora

AU - Paternò, Giuseppe

AU - Bertoncini, Massimo

AU - Arnone, Diego

AU - Rossi, Alessandro

AU - Paterno, Giuseppe

PY - 2016

Y1 - 2016

N2 - This paper proposes an optimised EnergyManagement System for a multi-carrier hub, which integratestwo energy distribution networks, for hydrogen and electricity.The economic sustainability of a real-life instantiation of such asystem has been analysed as well. The Energy ManagementSystem has been developed by means of a multi-objectiveoptimisation algorithm, the Non-dominated Sorting GeneticAlgorithm II, implemented using MATLAB®. The achievedresults consist in a series of set-points defining the workingconditions of the plant for a chosen time horizon. Data providedby this process also show the effectiveness of the adoptedoptimisation approach. The financial analysis is performedtaking into account costs and revenues of a real demonstrationplant. These cash flows have been evaluated by means of NetPresent Value index. The proposed analysis shows a possiblesolution that is profitable for stakeholders and guarantees a shortPay Back Time

AB - This paper proposes an optimised EnergyManagement System for a multi-carrier hub, which integratestwo energy distribution networks, for hydrogen and electricity.The economic sustainability of a real-life instantiation of such asystem has been analysed as well. The Energy ManagementSystem has been developed by means of a multi-objectiveoptimisation algorithm, the Non-dominated Sorting GeneticAlgorithm II, implemented using MATLAB®. The achievedresults consist in a series of set-points defining the workingconditions of the plant for a chosen time horizon. Data providedby this process also show the effectiveness of the adoptedoptimisation approach. The financial analysis is performedtaking into account costs and revenues of a real demonstrationplant. These cash flows have been evaluated by means of NetPresent Value index. The proposed analysis shows a possiblesolution that is profitable for stakeholders and guarantees a shortPay Back Time

UR - http://hdl.handle.net/10447/193230

UR - https://ieeexplore.ieee.org/document/7513926?arnumber=7513926

M3 - Other

ER -

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

Abstract

All Science Journal Classification (ASJC) codes

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