Hydrodynamic Optimization Method and Design Code for Stall-Regulated Hydrokinetic Turbine Rotors

This report describes the adaptation of a wind turbine performance code for use in the development of a general use design code and optimization method for stall-regulated horizontal-axis hydrokinetic turbine rotors. This rotor optimization code couples a modern genetic algorithm and blade-element m...

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Main Authors: Sale, D., Jonkman, J., Musial, W.
Other Authors: United States. Department of Energy.
Format: Article in Journal/Newspaper
Language:English
Published: National Renewable Energy Laboratory (U.S.) 2009
Subjects:
Online Access:https://digital.library.unt.edu/ark:/67531/metadc930012/
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author Sale, D.
Jonkman, J.
Musial, W.
author2 United States. Department of Energy.
author_facet Sale, D.
Jonkman, J.
Musial, W.
author_sort Sale, D.
collection University of North Texas: UNT Digital Library
description This report describes the adaptation of a wind turbine performance code for use in the development of a general use design code and optimization method for stall-regulated horizontal-axis hydrokinetic turbine rotors. This rotor optimization code couples a modern genetic algorithm and blade-element momentum performance code in a user-friendly graphical user interface (GUI) that allows for rapid and intuitive design of optimal stall-regulated rotors. This optimization method calculates the optimal chord, twist, and hydrofoil distributions which maximize the hydrodynamic efficiency and ensure that the rotor produces an ideal power curve and avoids cavitation. Optimizing a rotor for maximum efficiency does not necessarily create a turbine with the lowest cost of energy, but maximizing the efficiency is an excellent criterion to use as a first pass in the design process. To test the capabilities of this optimization method, two conceptual rotors were designed which successfully met the design objectives.
format Article in Journal/Newspaper
genre Arctic
genre_facet Arctic
id ftunivnotexas:info:ark/67531/metadc930012
institution Open Polar
language English
op_collection_id ftunivnotexas
op_relation rep-no: NREL/CP-500-45021
grantno: AC36-99-GO10337
osti: 963560
https://digital.library.unt.edu/ark:/67531/metadc930012/
ark: ark:/67531/metadc930012
op_source Presented at the ASME 28th International Conference on Ocean, Offshore, and Arctic Engineering; 31 May - 5 June 2009; Honolulu, Hawaii
publishDate 2009
publisher National Renewable Energy Laboratory (U.S.)
record_format openpolar
spelling ftunivnotexas:info:ark/67531/metadc930012 2025-01-16T19:53:38+00:00 Hydrodynamic Optimization Method and Design Code for Stall-Regulated Hydrokinetic Turbine Rotors Sale, D. Jonkman, J. Musial, W. United States. Department of Energy. 2009-08-01 17 p. Text https://digital.library.unt.edu/ark:/67531/metadc930012/ English eng National Renewable Energy Laboratory (U.S.) rep-no: NREL/CP-500-45021 grantno: AC36-99-GO10337 osti: 963560 https://digital.library.unt.edu/ark:/67531/metadc930012/ ark: ark:/67531/metadc930012 Presented at the ASME 28th International Conference on Ocean, Offshore, and Arctic Engineering; 31 May - 5 June 2009; Honolulu, Hawaii Wind Turbines Wind Energy Genetics Design Code Low-Cost Turbines Optimization Method Cavitation Efficiency Stall-Regulated Rotors Optimization Hydrodynamic Efficiency Algorithms Hydrodynamics Hydrokinetic Turbine Rotors Mechanical Power Output Wind Energy 17 Wind Energy Performance Design Article 2009 ftunivnotexas 2017-04-08T22:08:16Z This report describes the adaptation of a wind turbine performance code for use in the development of a general use design code and optimization method for stall-regulated horizontal-axis hydrokinetic turbine rotors. This rotor optimization code couples a modern genetic algorithm and blade-element momentum performance code in a user-friendly graphical user interface (GUI) that allows for rapid and intuitive design of optimal stall-regulated rotors. This optimization method calculates the optimal chord, twist, and hydrofoil distributions which maximize the hydrodynamic efficiency and ensure that the rotor produces an ideal power curve and avoids cavitation. Optimizing a rotor for maximum efficiency does not necessarily create a turbine with the lowest cost of energy, but maximizing the efficiency is an excellent criterion to use as a first pass in the design process. To test the capabilities of this optimization method, two conceptual rotors were designed which successfully met the design objectives. Article in Journal/Newspaper Arctic University of North Texas: UNT Digital Library
spellingShingle Wind Turbines Wind Energy
Genetics
Design Code
Low-Cost
Turbines
Optimization Method
Cavitation
Efficiency
Stall-Regulated Rotors
Optimization
Hydrodynamic Efficiency
Algorithms
Hydrodynamics
Hydrokinetic Turbine
Rotors
Mechanical Power Output
Wind Energy
17 Wind Energy
Performance
Design
Sale, D.
Jonkman, J.
Musial, W.
Hydrodynamic Optimization Method and Design Code for Stall-Regulated Hydrokinetic Turbine Rotors
title Hydrodynamic Optimization Method and Design Code for Stall-Regulated Hydrokinetic Turbine Rotors
title_full Hydrodynamic Optimization Method and Design Code for Stall-Regulated Hydrokinetic Turbine Rotors
title_fullStr Hydrodynamic Optimization Method and Design Code for Stall-Regulated Hydrokinetic Turbine Rotors
title_full_unstemmed Hydrodynamic Optimization Method and Design Code for Stall-Regulated Hydrokinetic Turbine Rotors
title_short Hydrodynamic Optimization Method and Design Code for Stall-Regulated Hydrokinetic Turbine Rotors
title_sort hydrodynamic optimization method and design code for stall-regulated hydrokinetic turbine rotors
topic Wind Turbines Wind Energy
Genetics
Design Code
Low-Cost
Turbines
Optimization Method
Cavitation
Efficiency
Stall-Regulated Rotors
Optimization
Hydrodynamic Efficiency
Algorithms
Hydrodynamics
Hydrokinetic Turbine
Rotors
Mechanical Power Output
Wind Energy
17 Wind Energy
Performance
Design
topic_facet Wind Turbines Wind Energy
Genetics
Design Code
Low-Cost
Turbines
Optimization Method
Cavitation
Efficiency
Stall-Regulated Rotors
Optimization
Hydrodynamic Efficiency
Algorithms
Hydrodynamics
Hydrokinetic Turbine
Rotors
Mechanical Power Output
Wind Energy
17 Wind Energy
Performance
Design
url https://digital.library.unt.edu/ark:/67531/metadc930012/