Search results for " multi-objective optimisation"

showing 2 items of 2 documents

INTERNAL PRESSURE AND COUNTERPUNCH ACTION DESIGN IN Y-SHAPED TUBE HYDROFORMING PROCESSES: A MULTI OBJECTIVE OPTIMISATION APPROACH

2009

In sheet metal forming most of the problems are multi-objective problems, generally characterised by conflicting objectives. A classical approach to investigate such kind of problems is focused on a combination of multiple objectives into a unique objective function to be optimised. Actually, in metal forming processes optimisation two main phases have to be developed in order to reach an optimal solution: the former is the modelling phase (definition of the design variables and objective function) and the latter concerns the computational aspect (numerical simulations or experiment to be developed). In this paper, an integration between numerical simulations, response surface methodology a…

EngineeringHydroformingresponse surface method Pareto solutions multi-objective optimisationMetal formingbusiness.industryTube hydroformingMechanical EngineeringMechanical engineeringInternal pressureStructural engineeringComputer Science ApplicationsPareto optimalConflicting objectivesModeling and Simulationvisual_artvisual_art.visual_art_mediumGeneral Materials ScienceMinificationResponse surface methodologybusinessSheet metalSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneCivil and Structural Engineering
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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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