Wind Turbine Design: Multi‐Objective Optimization

Adam Chehouri (1, 2) , Rafic Younes (2) , Adrian Ilinca (3) , Jean Perron (1)

1 UQAC - Université du Québec à Chicoutimi
2 Faculté de Génie / Faculty of Engineering (Université Libanaise)
3 UQAR - Université du Québec à Rimouski

Within the last 20 years, wind turbines have reached matured and the growing worldwide wind energy market will allow further improvements. In the recent decades, the numbers of research papers that have applied optimization techniques in the attempt to obtain an optimal design have increased. The main target of manufacturers has been to minimize the cost of energy of wind turbines in order to compete with fossil‐fuel sources. Therefore, it has been argued that it is more stimulating to evaluate the wind turbine design as an optimization problem consisting of more than one objective. Using multi‐objective optimization algo‐ rithms, the designers are able to identify a trade‐off curve called Pareto front that reveals the weaknesses, anomalies and rewards of certain targets. In this chapter, we present the fundamental principles of multi‐objective optimization in wind turbine design and solve a classic multi‐objective wind turbine optimization problem using a genetic algorithm.

Mots clés: wind turbine design; optimization; multi‐objective; genetic algorithm; Pareto front

Domaines: Génie mécanique [physics.class-ph]; Optimisation et contrôle [math.OC]

Adam Chehouri, Rafic Younes, Adrian Ilinca, Jean Perron. Wind Turbine Design: Multi‐Objective Optimization. Wind Turbines - Design, Control and Applications, , pp.350, 2016, 978-953-51-2496-2. ⟨10.5772/63481⟩. ⟨hal-01374717⟩