0000000000824668

AUTHOR

Massimo Bertoncini

showing 3 related works from this author

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

2016

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 performe…

Mathematical optimizationEnergy managementSortingTime horizon02 engineering and technology010402 general chemistry021001 nanoscience & nanotechnology01 natural sciencesNet present valueEnergy accounting0104 chemical sciencesSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaEnergy management systemenergy management system hydrogen storageinvestment analysis multi-objective optimisationGenetic algorithmEconomicsCash flow0210 nano-technology2016 IEEE International Energy Conference (ENERGYCON)
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Mixed heuristic-non linear optimization of energy management for hydrogen storage-based multi carrier hubs

2014

In this paper, an heuristic and non-linear programming based algorithm to optimally operate an energy hub plant is proposed. The energy hub plant described in this work is the test system for the European INGRID research project. The Energy Management System defines the optimal energy flows dispatch in order to obtain the energy balance and the maximum profit for the owner of the plant. The problem is highly constrained and non-linear, for this reason the methodology cannot rely on Linear Programming (LP) methods. The Energy Management System manages two energy carriers, electricity and hydrogen, interfacing three distribution networks: the electricity, the hydrogen and the methane networks…

Energy carrierMathematical optimizationEngineeringLinear programmingEnergy managementHeuristicbusiness.industryEnergy balanceTabu searchDSOEnergy Management SystemsStorage Integrationheuristic methodsnon-linear problemsSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaEnergy management systemSimulated annealingbusiness2014 IEEE International Energy Conference (ENERGYCON)
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A novel heuristics-based energy management system for a multi-carrier hub enriched with solid hydrogen storage

2014

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.

Mathematical optimizationEngineeringEnergy managementbusiness.industryProfit maximizationsmart grids renewable energy sources simulated annealingEnergy storageSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaEnergy management systemComponent (UML)Simulated annealingEnergy transformationHeuristicsbusinessProceedings of the 5th international conference on Future energy systems
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