A novel heuristics-based energy management system for a multi-carrier hub enriched with solid hydrogen storage

Rosario Miceli, Eleonora Riva Sanseverino, Diego La Cascia, Massimo Bertoncini, Diego Arnone, Rosario Proietto, Alessandro Rossi

Risultato della ricerca: Paper

3 Citazioni (Scopus)

Abstract

In this paper, an efficient optimization algorithm for the energy management of a grid-connected energy hub plant is proposed. The Simulated Annealing algorithm is adopted for the solution of the energy management problem aiming at the profit maximization for the owner of the energy hub plant. The use of a heuristic algorithm was required by the non-linearity of the efficiencies of each component in the energy transformation stages. The proposed heuristics is applied to a large energy hub, corresponding to the simulation of the test-bed that is being designed and developed inside the ongoing INGRID European research project.
Lingua originaleEnglish
Stato di pubblicazionePublished - 2014

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Energy management systems
Energy management
Hydrogen storage
Heuristic algorithms
Simulated annealing
Profitability

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Fuel Technology

Cita questo

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AU - Miceli, Rosario

AU - Riva Sanseverino, Eleonora

AU - La Cascia, Diego

AU - Bertoncini, Massimo

AU - Arnone, Diego

AU - Proietto, Rosario

AU - Rossi, Alessandro

PY - 2014

Y1 - 2014

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AB - In this paper, an efficient optimization algorithm for the energy management of a grid-connected energy hub plant is proposed. The Simulated Annealing algorithm is adopted for the solution of the energy management problem aiming at the profit maximization for the owner of the energy hub plant. The use of a heuristic algorithm was required by the non-linearity of the efficiencies of each component in the energy transformation stages. The proposed heuristics is applied to a large energy hub, corresponding to the simulation of the test-bed that is being designed and developed inside the ongoing INGRID European research project.

UR - http://hdl.handle.net/10447/97992

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