A Genetic Algorithm for Optimal Distribution of Aerofoils on Wind Turbine Blades

Fadi Kahwash; Alireza Maheri

A Genetic Algorithm for Optimal Distribution of Aerofoils on Wind Turbine Blades

Northumbria University

Research output: Contribution to conference › Unpublished paper › peer-review

Abstract

The objective of this study is to introduce aerofoils distribution as a design variable in wind turbine blade optimisation process. Aerodynamic optimisation is performed using a genetic algorithm (GA). An aerofoil-pairing database is developed to define a heuristic used in the GA rather than using a random selection in order to improve the GA performance. The aerodynamic characteristics of the transitional section between two aerofoils are obtained using a mathematical model. The model is constructed based on the results of numerical analysis of blended aerofoils using non-linear data regression techniques. Using stall-regulated wind turbine AWT-27 as a case study, the enhanced capability of the design code in optimisation of the topology of the original blade is shown.

Original language	English
Number of pages	7
Publication status	Published - 1 Oct 2013
Event	1st International Conference On Engineering of Tarumanagara - Tarumanagara University, Jakarta, Indonesia Duration: 2 Oct 2013 → 3 Oct 2013

Conference

Conference	1st International Conference On Engineering of Tarumanagara
Abbreviated title	(ICET 2013)
Country/Territory	Indonesia
City	Jakarta
Period	2/10/13 → 3/10/13

Bibliographical note

The authors wish to thank Northumbria University PhD student Terence Macquart
for his constructive contributions.

Keywords

blade design
genetic algorithm
blended aerofoil
wind turbine blade

Access to Document

http://nrl.northumbria.ac.uk/15762/Licence: Unspecified

Cite this

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title = "A Genetic Algorithm for Optimal Distribution of Aerofoils on Wind Turbine Blades",

abstract = "The objective of this study is to introduce aerofoils distribution as a design variable in wind turbine blade optimisation process. Aerodynamic optimisation is performed using a genetic algorithm (GA). An aerofoil-pairing database is developed to define a heuristic used in the GA rather than using a random selection in order to improve the GA performance. The aerodynamic characteristics of the transitional section between two aerofoils are obtained using a mathematical model. The model is constructed based on the results of numerical analysis of blended aerofoils using non-linear data regression techniques. Using stall-regulated wind turbine AWT-27 as a case study, the enhanced capability of the design code in optimisation of the topology of the original blade is shown. ",

keywords = "blade design, genetic algorithm, blended aerofoil, wind turbine blade",

author = "Fadi Kahwash and Alireza Maheri",

note = "The authors wish to thank Northumbria University PhD student Terence Macquart for his constructive contributions. ; 1st International Conference On Engineering of Tarumanagara, (ICET 2013) ; Conference date: 02-10-2013 Through 03-10-2013",

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TY - CONF

T1 - A Genetic Algorithm for Optimal Distribution of Aerofoils on Wind Turbine Blades

AU - Kahwash, Fadi

AU - Maheri, Alireza

N1 - The authors wish to thank Northumbria University PhD student Terence Macquart for his constructive contributions.

PY - 2013/10/1

Y1 - 2013/10/1

N2 - The objective of this study is to introduce aerofoils distribution as a design variable in wind turbine blade optimisation process. Aerodynamic optimisation is performed using a genetic algorithm (GA). An aerofoil-pairing database is developed to define a heuristic used in the GA rather than using a random selection in order to improve the GA performance. The aerodynamic characteristics of the transitional section between two aerofoils are obtained using a mathematical model. The model is constructed based on the results of numerical analysis of blended aerofoils using non-linear data regression techniques. Using stall-regulated wind turbine AWT-27 as a case study, the enhanced capability of the design code in optimisation of the topology of the original blade is shown.

AB - The objective of this study is to introduce aerofoils distribution as a design variable in wind turbine blade optimisation process. Aerodynamic optimisation is performed using a genetic algorithm (GA). An aerofoil-pairing database is developed to define a heuristic used in the GA rather than using a random selection in order to improve the GA performance. The aerodynamic characteristics of the transitional section between two aerofoils are obtained using a mathematical model. The model is constructed based on the results of numerical analysis of blended aerofoils using non-linear data regression techniques. Using stall-regulated wind turbine AWT-27 as a case study, the enhanced capability of the design code in optimisation of the topology of the original blade is shown.

KW - blade design

KW - genetic algorithm

KW - blended aerofoil

KW - wind turbine blade

M3 - Unpublished paper

T2 - 1st International Conference On Engineering of Tarumanagara

Y2 - 2 October 2013 through 3 October 2013

ER -

A Genetic Algorithm for Optimal Distribution of Aerofoils on Wind Turbine Blades

Abstract

Conference

Bibliographical note

Keywords

Access to Document

Fingerprint

Cite this