Multi-disciplinary robust design of variable speed wind turbines

Edmondo Minisci; Michele Sergio Campobasso; Michele Dellantonio; Andrea Montecucco; Massimiliano Vasile

Multi-disciplinary robust design of variable speed wind turbines

Edmondo Minisci, Michele Sergio Campobasso, Michele Dellantonio, Andrea Montecucco, Massimiliano Vasile

Mechanical And Aerospace Engineering

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Abstract

This paper addresses the preliminary robust multi-disciplinary design of small wind turbines. The turbine to be designed is assumed to be connected to the grid by means of power electronic converters. The main input parameter is the yearly wind distribution at the selected site, and it is represented by means of a Weibull distribution. The objective function is the electrical energy delivered yearly to the grid. Aerodynamic and electrical characteristics are fully coupled and modelled by means of low- and medium-fidelity models. Uncertainty affecting the blade geometry is considered, and a multi-objective hybrid evolutionary algorithm code is used to maximise the mean value of the yearly energy production and minimise its variance.

Original language	English
Publication status	Published - 14 Sept 2011
Event	Eurogen 2011 Conference - Capua, Italy Duration: 14 Sept 2011 → 16 Nov 2011

Conference

Conference	Eurogen 2011 Conference
Country/Territory	Italy
City	Capua
Period	14/09/11 → 16/11/11

Keywords

Multi-disciplinary optimization
robust design
integrated system design
evolutionary computation
wind energy
aerodynamic and electrical optimisation

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Minisci E et al Pure Multi disciplinary robust design of variable speed wind turbines 2011Submitted manuscript, 447 KB

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@conference{3420c90976d04b0489f6aac2da093763,

title = "Multi-disciplinary robust design of variable speed wind turbines",

abstract = "This paper addresses the preliminary robust multi-disciplinary design of small wind turbines. The turbine to be designed is assumed to be connected to the grid by means of power electronic converters. The main input parameter is the yearly wind distribution at the selected site, and it is represented by means of a Weibull distribution. The objective function is the electrical energy delivered yearly to the grid. Aerodynamic and electrical characteristics are fully coupled and modelled by means of low- and medium-fidelity models. Uncertainty affecting the blade geometry is considered, and a multi-objective hybrid evolutionary algorithm code is used to maximise the mean value of the yearly energy production and minimise its variance. ",

keywords = "Multi-disciplinary optimization, robust design, integrated system design, evolutionary computation, wind energy, aerodynamic and electrical optimisation",

author = "Edmondo Minisci and Campobasso, \{Michele Sergio\} and Michele Dellantonio and Andrea Montecucco and Massimiliano Vasile",

year = "2011",

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note = "Eurogen 2011 Conference ; Conference date: 14-09-2011 Through 16-11-2011",

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T1 - Multi-disciplinary robust design of variable speed wind turbines

AU - Minisci, Edmondo

AU - Campobasso, Michele Sergio

AU - Dellantonio, Michele

AU - Montecucco, Andrea

AU - Vasile, Massimiliano

PY - 2011/9/14

Y1 - 2011/9/14

N2 - This paper addresses the preliminary robust multi-disciplinary design of small wind turbines. The turbine to be designed is assumed to be connected to the grid by means of power electronic converters. The main input parameter is the yearly wind distribution at the selected site, and it is represented by means of a Weibull distribution. The objective function is the electrical energy delivered yearly to the grid. Aerodynamic and electrical characteristics are fully coupled and modelled by means of low- and medium-fidelity models. Uncertainty affecting the blade geometry is considered, and a multi-objective hybrid evolutionary algorithm code is used to maximise the mean value of the yearly energy production and minimise its variance.

AB - This paper addresses the preliminary robust multi-disciplinary design of small wind turbines. The turbine to be designed is assumed to be connected to the grid by means of power electronic converters. The main input parameter is the yearly wind distribution at the selected site, and it is represented by means of a Weibull distribution. The objective function is the electrical energy delivered yearly to the grid. Aerodynamic and electrical characteristics are fully coupled and modelled by means of low- and medium-fidelity models. Uncertainty affecting the blade geometry is considered, and a multi-objective hybrid evolutionary algorithm code is used to maximise the mean value of the yearly energy production and minimise its variance.

KW - Multi-disciplinary optimization

KW - robust design

KW - integrated system design

KW - evolutionary computation

KW - wind energy

KW - aerodynamic and electrical optimisation

UR - http://www.eurogen2011.cira.it/

M3 - Paper

T2 - Eurogen 2011 Conference

Y2 - 14 September 2011 through 16 November 2011

ER -

Multi-disciplinary robust design of variable speed wind turbines

Abstract

Conference

Keywords

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Aerodynamic design optimization of wind turbine airfoils under aleatory and epistemic uncertainty

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