Details
| Original language | English |
|---|---|
| Title of host publication | European Wind Energy Conference and Exhibition 2012, EWEC 2012 |
| Pages | 644-654 |
| Number of pages | 11 |
| Publication status | Published - 1 Dec 2012 |
| Event | European Wind Energy Conference and Exhibition 2012, EWEC 2012 - Copenhagen, Denmark Duration: 16 Apr 2012 → 19 Apr 2012 |
Publication series
| Name | European Wind Energy Conference and Exhibition 2012, EWEC 2012 |
|---|---|
| Volume | 1 |
Abstract
The performance of wind turbines highly depends on the aerodynamic efficiency of their blades. In order to optimize the aerodynamic efficiency, the present paper shows the benefits of the implementation of a novel genetic algorithm, the "Cuckoo Search" Algorithm (CSA). First, the basics of the CSA are reviewed and the implementation of a new CSA is described. The rotor of a 1.5 MW pitch regulated wind turbine is used as a basis for the optimization and the comparison in terms of performance of the CSA against a traditional Genetic Algorithm (GA). As objective function the annual energy production (AEP) is used, although the method described is not limited in this regard. The blade geometry is described in a simple manner by a suitable set of control points, and the turbine performance is calculated by means of a classical Blade Element Momentum (BEM) method. The objective of the present paper is to explore the capabilities of the new algorithm for the optimization of wind turbine blades instead of improving the performance of a given blade in general. The main benefit of the CSA is the considerable reduction of the required computational time to obtain a design. In this way it is feasible to use the CSA for rotor blade design applications.
Keywords
- Cuckoo Search Algorithm, Genetic algorithm, Optimization, Rotor blade design, Wind turbine
ASJC Scopus subject areas
- Energy(all)
- Energy Engineering and Power Technology
- Energy(all)
- Fuel Technology
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European Wind Energy Conference and Exhibition 2012, EWEC 2012. 2012. p. 644-654 (European Wind Energy Conference and Exhibition 2012, EWEC 2012; Vol. 1).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Implementation of the algorithm to optimize the design of wind turbine rotor blades
AU - Ernst, Benedikt
AU - Bloh, Marielena
AU - Seume, Jörg R.
AU - Gómez González, Alejandro
PY - 2012/12/1
Y1 - 2012/12/1
N2 - The performance of wind turbines highly depends on the aerodynamic efficiency of their blades. In order to optimize the aerodynamic efficiency, the present paper shows the benefits of the implementation of a novel genetic algorithm, the "Cuckoo Search" Algorithm (CSA). First, the basics of the CSA are reviewed and the implementation of a new CSA is described. The rotor of a 1.5 MW pitch regulated wind turbine is used as a basis for the optimization and the comparison in terms of performance of the CSA against a traditional Genetic Algorithm (GA). As objective function the annual energy production (AEP) is used, although the method described is not limited in this regard. The blade geometry is described in a simple manner by a suitable set of control points, and the turbine performance is calculated by means of a classical Blade Element Momentum (BEM) method. The objective of the present paper is to explore the capabilities of the new algorithm for the optimization of wind turbine blades instead of improving the performance of a given blade in general. The main benefit of the CSA is the considerable reduction of the required computational time to obtain a design. In this way it is feasible to use the CSA for rotor blade design applications.
AB - The performance of wind turbines highly depends on the aerodynamic efficiency of their blades. In order to optimize the aerodynamic efficiency, the present paper shows the benefits of the implementation of a novel genetic algorithm, the "Cuckoo Search" Algorithm (CSA). First, the basics of the CSA are reviewed and the implementation of a new CSA is described. The rotor of a 1.5 MW pitch regulated wind turbine is used as a basis for the optimization and the comparison in terms of performance of the CSA against a traditional Genetic Algorithm (GA). As objective function the annual energy production (AEP) is used, although the method described is not limited in this regard. The blade geometry is described in a simple manner by a suitable set of control points, and the turbine performance is calculated by means of a classical Blade Element Momentum (BEM) method. The objective of the present paper is to explore the capabilities of the new algorithm for the optimization of wind turbine blades instead of improving the performance of a given blade in general. The main benefit of the CSA is the considerable reduction of the required computational time to obtain a design. In this way it is feasible to use the CSA for rotor blade design applications.
KW - Cuckoo Search Algorithm
KW - Genetic algorithm
KW - Optimization
KW - Rotor blade design
KW - Wind turbine
UR - http://www.scopus.com/inward/record.url?scp=84884399471&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84884399471
SN - 9781627482912
T3 - European Wind Energy Conference and Exhibition 2012, EWEC 2012
SP - 644
EP - 654
BT - European Wind Energy Conference and Exhibition 2012, EWEC 2012
T2 - European Wind Energy Conference and Exhibition 2012, EWEC 2012
Y2 - 16 April 2012 through 19 April 2012
ER -