SlideShare a Scribd company logo
1 of 18
Download to read offline
Shape Optimization for Rigid Airfoils in
Multiple-Kite AWE Systems
Rachel Leuthold
S´ebastien Gros, Moritz Diehl
Albert-Ludwigs-University, Freiburg, Germany
February 8, 2017
Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 1
Hello...
Prof. Dr. Moritz Diehl
me
aerodynamics
background in:
& wind energy
(potential flow methods)
ALU-FR AWE group
Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 2
Tether Drag and Multiple-Kite Systems
Consider an AWE system with
rigid kites, in pumping-cycle
operation...
Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 3
Tether Drag and Multiple-Kite Systems
Tether drag proportional to
tether’s apparent velocity
squared and frontal area

Significant loss in system
efficiency.
What to do?
tether
apparent velocity
is significant over
majority of tether for
single-kite AWE systems
Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 4
Tether Drag and Multiple-Kite Systems
Tether drag proportional to
tether’s apparent velocity
squared and frontal area

Significant loss in system
efficiency.
Multiple-Kite Systems
balance multiple
kites to keep
main-tether stationary
and tether drag small
Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 5
Research Question
What does this look like?
For a multiple-kite
pumping-cycle system,
what kite shape, system
geometry and flight path
will maximize the mechanical
power output?
Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 6
Research Question
What does this look like?
For a multiple-kite
pumping-cycle system,
what kite shape, system
geometry and flight path
will maximize the mechanical
power output?
argmin
parameters, states, controls, etc
− w1 power + w2 regularization
st.
modelled physics ⇒ forces and moments
forces and moments ⇒ dynamics
physical limits ⇒ variable bounds
Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 7
A Note on Methodology
argmin
parameters, states, controls, etc
− w1 power + w2 regularization
st.
modelled physics ⇒ forces and moments
forces and moments ⇒ dynamics
physical limits ⇒ variable bounds
Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 8
A Note on Methodology
argmin
parameters, states, controls, etc
− w1 power + w2 regularization
st.
modelled physics ⇒ forces and moments
forces and moments ⇒ dynamics
physical limits ⇒ variable bounds
very nonlinear problem
Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 9
A Note on Methodology
argmin
parameters, states, controls, etc
− w1 power + w2 regularization
st.
modelled physics ⇒ forces and moments
forces and moments ⇒ dynamics
physical limits ⇒ variable bounds
very nonlinear problem
- solution approach: homotopy
e.g., F = (1 − ι)Ffictitious + ι (Lkite + Dkite + Dsec. tether) , 0 ≤ ι ≤ 1
Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 10
A Note on Methodology
argmin
parameters, states, controls, etc
− w1 power + w2 regularization
st.
modelled physics ⇒ forces and moments
forces and moments ⇒ dynamics
physical limits ⇒ variable bounds
very nonlinear problem
- solution approach: homotopy
e.g., F = (1 − ι)Ffictitious + ι (Lkite + Dkite + Dsec. tether) , 0 ≤ ι ≤ 1
- reduce constraint nonlinearity by lifting variables
e.g., CL −
2πα
1 + 2c/b
= 0 ⇔ CL(b + 2c)ζ − 2πbξ = 0, ξα − ζ = 0
Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 11
A Note on Methodology
argmin
parameters, states, controls, etc
− w1 power + w2 regularization
st.
modelled physics ⇒ forces and moments
forces and moments ⇒ dynamics
physical limits ⇒ variable bounds
very nonlinear problem
- solution approach: homotopy
e.g., F = (1 − ι)Ffictitious + ι (Lkite + Dkite + Dsec. tether) , 0 ≤ ι ≤ 1
- reduce constraint nonlinearity by lifting variables
e.g., CL −
2πα
1 + 2c/b
= 0 ⇔ CL(b + 2c)ζ − 2πbξ = 0, ξα − ζ = 0
- solve with open-source interior-point solver IPOPT via CasADi
Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 12
What Needs to be Done?
External geometry and trajectory optimization
Internal structure optimization
Validation
Hopefully: prototype construction
Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 13
What Needs to be Done?
External geometry and trajectory optimization
Model selection
Internal structure optimization
Validation
Hopefully: prototype construction
Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 14
What Needs to be Done?
External geometry and trajectory optimization
Model selection
so far: aerodynamic model must include induction
[L., Gros, Diehl. Induction in Optimal Control of Multiple-Kite
Airborne Wind Energy Systems. submitted to IFAC 2017]
currently:
next:
does aero. model need to consider skewed-wake effects?
determine skewed-wake model for multi-kite systems
Internal structure optimization
Validation
Hopefully: prototype construction
Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 15
What Needs to be Done?
External geometry and trajectory optimization
Model selection
Andrea Zanelli optimization algorithms
Elena Malz effect of wind data
Thomas Haas model validation
Internal structure optimization
Ashwin Candade structure optimization methods
Validation
Hopefully: prototype construction
Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 16
What Needs to be Done?
External geometry and trajectory optimization
Model selection
Chalmers Uni. optimization in AWE problems 3 months
Uni. Victoria optimal design with potential flow
methods
2 months
Internal structure optimization
TU. Delft structure optimization (and more
potential flow methods)
2 months
Validation
Hopefully: prototype construction
Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 17
Conclusion
there is a lot to do, but moving steadily forwards...
Thank you for your attention
Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 18

More Related Content

Similar to Rachel Leuthold: Shape Optimization for Rigid Airfoils in Multiple-Kite AWE Systems

Chaotic based Pteropus algorithm for solving optimal reactive power problem
Chaotic based Pteropus algorithm for solving optimal reactive power problemChaotic based Pteropus algorithm for solving optimal reactive power problem
Chaotic based Pteropus algorithm for solving optimal reactive power problemIJAAS Team
 
12 article azojete vol 8 125 131
12 article azojete vol 8 125 13112 article azojete vol 8 125 131
12 article azojete vol 8 125 131Oyeniyi Samuel
 
IRJET- A Study on Some Repairable Systems
IRJET- A Study on Some Repairable SystemsIRJET- A Study on Some Repairable Systems
IRJET- A Study on Some Repairable SystemsIRJET Journal
 
System Modelling: 1st Order Models
System Modelling: 1st Order ModelsSystem Modelling: 1st Order Models
System Modelling: 1st Order ModelsJARossiter
 
IRJET- PSO Tuned PID Controller for Single-Area Multi- Source LFC System
IRJET- PSO Tuned PID Controller for Single-Area Multi- Source LFC SystemIRJET- PSO Tuned PID Controller for Single-Area Multi- Source LFC System
IRJET- PSO Tuned PID Controller for Single-Area Multi- Source LFC SystemIRJET Journal
 
Design of Compensator for Roll Control of Towing Air-Crafts
Design of Compensator for Roll Control of Towing Air-CraftsDesign of Compensator for Roll Control of Towing Air-Crafts
Design of Compensator for Roll Control of Towing Air-Craftspaperpublications3
 
CFD Cornell Energy Workshop - M.F. Campuzano Ochoa
CFD Cornell Energy Workshop - M.F. Campuzano OchoaCFD Cornell Energy Workshop - M.F. Campuzano Ochoa
CFD Cornell Energy Workshop - M.F. Campuzano OchoaMario Felipe Campuzano Ochoa
 
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...IJERD Editor
 
AAE556-Lecture 02-The typical section.ppt
AAE556-Lecture 02-The typical section.pptAAE556-Lecture 02-The typical section.ppt
AAE556-Lecture 02-The typical section.pptMayoAdetoro
 
IRJET- Fuel Cost Reduction for Thermal Power Generator by using G.A, PSO, QPS...
IRJET- Fuel Cost Reduction for Thermal Power Generator by using G.A, PSO, QPS...IRJET- Fuel Cost Reduction for Thermal Power Generator by using G.A, PSO, QPS...
IRJET- Fuel Cost Reduction for Thermal Power Generator by using G.A, PSO, QPS...IRJET Journal
 
0A-02-ACA-Fundamentals-Convolution.pdf
0A-02-ACA-Fundamentals-Convolution.pdf0A-02-ACA-Fundamentals-Convolution.pdf
0A-02-ACA-Fundamentals-Convolution.pdfAlexanderLerch4
 
Phonons & Phonopy: Pro Tips (2014)
Phonons & Phonopy: Pro Tips (2014)Phonons & Phonopy: Pro Tips (2014)
Phonons & Phonopy: Pro Tips (2014)Jonathan Skelton
 
VPPC 12 oral-prada - Physics-based aging modeling of Li-ion batteries
VPPC 12 oral-prada - Physics-based aging modeling of Li-ion batteriesVPPC 12 oral-prada - Physics-based aging modeling of Li-ion batteries
VPPC 12 oral-prada - Physics-based aging modeling of Li-ion batteriesEric Prada
 
Vppc12 oral-prada vf
Vppc12 oral-prada vfVppc12 oral-prada vf
Vppc12 oral-prada vfEric Prada
 
Iaetsd position control of servo systems using pid
Iaetsd position control of servo systems using pidIaetsd position control of servo systems using pid
Iaetsd position control of servo systems using pidIaetsd Iaetsd
 
lecture01_lecture01_lecture0001_ceva.pdf
lecture01_lecture01_lecture0001_ceva.pdflecture01_lecture01_lecture0001_ceva.pdf
lecture01_lecture01_lecture0001_ceva.pdfAnaNeacsu5
 

Similar to Rachel Leuthold: Shape Optimization for Rigid Airfoils in Multiple-Kite AWE Systems (20)

Mit2 72s09 lec08
Mit2 72s09 lec08Mit2 72s09 lec08
Mit2 72s09 lec08
 
Chaotic based Pteropus algorithm for solving optimal reactive power problem
Chaotic based Pteropus algorithm for solving optimal reactive power problemChaotic based Pteropus algorithm for solving optimal reactive power problem
Chaotic based Pteropus algorithm for solving optimal reactive power problem
 
12 article azojete vol 8 125 131
12 article azojete vol 8 125 13112 article azojete vol 8 125 131
12 article azojete vol 8 125 131
 
IRJET- A Study on Some Repairable Systems
IRJET- A Study on Some Repairable SystemsIRJET- A Study on Some Repairable Systems
IRJET- A Study on Some Repairable Systems
 
System Modelling: 1st Order Models
System Modelling: 1st Order ModelsSystem Modelling: 1st Order Models
System Modelling: 1st Order Models
 
IRJET- PSO Tuned PID Controller for Single-Area Multi- Source LFC System
IRJET- PSO Tuned PID Controller for Single-Area Multi- Source LFC SystemIRJET- PSO Tuned PID Controller for Single-Area Multi- Source LFC System
IRJET- PSO Tuned PID Controller for Single-Area Multi- Source LFC System
 
Design of Compensator for Roll Control of Towing Air-Crafts
Design of Compensator for Roll Control of Towing Air-CraftsDesign of Compensator for Roll Control of Towing Air-Crafts
Design of Compensator for Roll Control of Towing Air-Crafts
 
CFD Cornell Energy Workshop - M.F. Campuzano Ochoa
CFD Cornell Energy Workshop - M.F. Campuzano OchoaCFD Cornell Energy Workshop - M.F. Campuzano Ochoa
CFD Cornell Energy Workshop - M.F. Campuzano Ochoa
 
B045012015
B045012015B045012015
B045012015
 
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
IJERD (www.ijerd.com) International Journal of Engineering Research and Devel...
 
Gy3312241229
Gy3312241229Gy3312241229
Gy3312241229
 
AAE556-Lecture 02-The typical section.ppt
AAE556-Lecture 02-The typical section.pptAAE556-Lecture 02-The typical section.ppt
AAE556-Lecture 02-The typical section.ppt
 
IRJET- Fuel Cost Reduction for Thermal Power Generator by using G.A, PSO, QPS...
IRJET- Fuel Cost Reduction for Thermal Power Generator by using G.A, PSO, QPS...IRJET- Fuel Cost Reduction for Thermal Power Generator by using G.A, PSO, QPS...
IRJET- Fuel Cost Reduction for Thermal Power Generator by using G.A, PSO, QPS...
 
0A-02-ACA-Fundamentals-Convolution.pdf
0A-02-ACA-Fundamentals-Convolution.pdf0A-02-ACA-Fundamentals-Convolution.pdf
0A-02-ACA-Fundamentals-Convolution.pdf
 
Tuning of PID, SVFB and LQ Controllers Using Genetic Algorithms
Tuning of PID, SVFB and LQ Controllers Using Genetic AlgorithmsTuning of PID, SVFB and LQ Controllers Using Genetic Algorithms
Tuning of PID, SVFB and LQ Controllers Using Genetic Algorithms
 
Phonons & Phonopy: Pro Tips (2014)
Phonons & Phonopy: Pro Tips (2014)Phonons & Phonopy: Pro Tips (2014)
Phonons & Phonopy: Pro Tips (2014)
 
VPPC 12 oral-prada - Physics-based aging modeling of Li-ion batteries
VPPC 12 oral-prada - Physics-based aging modeling of Li-ion batteriesVPPC 12 oral-prada - Physics-based aging modeling of Li-ion batteries
VPPC 12 oral-prada - Physics-based aging modeling of Li-ion batteries
 
Vppc12 oral-prada vf
Vppc12 oral-prada vfVppc12 oral-prada vf
Vppc12 oral-prada vf
 
Iaetsd position control of servo systems using pid
Iaetsd position control of servo systems using pidIaetsd position control of servo systems using pid
Iaetsd position control of servo systems using pid
 
lecture01_lecture01_lecture0001_ceva.pdf
lecture01_lecture01_lecture0001_ceva.pdflecture01_lecture01_lecture0001_ceva.pdf
lecture01_lecture01_lecture0001_ceva.pdf
 

Recently uploaded

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWERMadyBayot
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024The Digital Insurer
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingEdi Saputra
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfOverkill Security
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...apidays
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Victor Rentea
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Victor Rentea
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxRustici Software
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Orbitshub
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistandanishmna97
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native ApplicationsWSO2
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...Zilliz
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 

Recently uploaded (20)

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 

Rachel Leuthold: Shape Optimization for Rigid Airfoils in Multiple-Kite AWE Systems

  • 1. Shape Optimization for Rigid Airfoils in Multiple-Kite AWE Systems Rachel Leuthold S´ebastien Gros, Moritz Diehl Albert-Ludwigs-University, Freiburg, Germany February 8, 2017 Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 1
  • 2. Hello... Prof. Dr. Moritz Diehl me aerodynamics background in: & wind energy (potential flow methods) ALU-FR AWE group Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 2
  • 3. Tether Drag and Multiple-Kite Systems Consider an AWE system with rigid kites, in pumping-cycle operation... Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 3
  • 4. Tether Drag and Multiple-Kite Systems Tether drag proportional to tether’s apparent velocity squared and frontal area  Significant loss in system efficiency. What to do? tether apparent velocity is significant over majority of tether for single-kite AWE systems Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 4
  • 5. Tether Drag and Multiple-Kite Systems Tether drag proportional to tether’s apparent velocity squared and frontal area  Significant loss in system efficiency. Multiple-Kite Systems balance multiple kites to keep main-tether stationary and tether drag small Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 5
  • 6. Research Question What does this look like? For a multiple-kite pumping-cycle system, what kite shape, system geometry and flight path will maximize the mechanical power output? Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 6
  • 7. Research Question What does this look like? For a multiple-kite pumping-cycle system, what kite shape, system geometry and flight path will maximize the mechanical power output? argmin parameters, states, controls, etc − w1 power + w2 regularization st. modelled physics ⇒ forces and moments forces and moments ⇒ dynamics physical limits ⇒ variable bounds Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 7
  • 8. A Note on Methodology argmin parameters, states, controls, etc − w1 power + w2 regularization st. modelled physics ⇒ forces and moments forces and moments ⇒ dynamics physical limits ⇒ variable bounds Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 8
  • 9. A Note on Methodology argmin parameters, states, controls, etc − w1 power + w2 regularization st. modelled physics ⇒ forces and moments forces and moments ⇒ dynamics physical limits ⇒ variable bounds very nonlinear problem Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 9
  • 10. A Note on Methodology argmin parameters, states, controls, etc − w1 power + w2 regularization st. modelled physics ⇒ forces and moments forces and moments ⇒ dynamics physical limits ⇒ variable bounds very nonlinear problem - solution approach: homotopy e.g., F = (1 − ι)Ffictitious + ι (Lkite + Dkite + Dsec. tether) , 0 ≤ ι ≤ 1 Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 10
  • 11. A Note on Methodology argmin parameters, states, controls, etc − w1 power + w2 regularization st. modelled physics ⇒ forces and moments forces and moments ⇒ dynamics physical limits ⇒ variable bounds very nonlinear problem - solution approach: homotopy e.g., F = (1 − ι)Ffictitious + ι (Lkite + Dkite + Dsec. tether) , 0 ≤ ι ≤ 1 - reduce constraint nonlinearity by lifting variables e.g., CL − 2πα 1 + 2c/b = 0 ⇔ CL(b + 2c)ζ − 2πbξ = 0, ξα − ζ = 0 Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 11
  • 12. A Note on Methodology argmin parameters, states, controls, etc − w1 power + w2 regularization st. modelled physics ⇒ forces and moments forces and moments ⇒ dynamics physical limits ⇒ variable bounds very nonlinear problem - solution approach: homotopy e.g., F = (1 − ι)Ffictitious + ι (Lkite + Dkite + Dsec. tether) , 0 ≤ ι ≤ 1 - reduce constraint nonlinearity by lifting variables e.g., CL − 2πα 1 + 2c/b = 0 ⇔ CL(b + 2c)ζ − 2πbξ = 0, ξα − ζ = 0 - solve with open-source interior-point solver IPOPT via CasADi Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 12
  • 13. What Needs to be Done? External geometry and trajectory optimization Internal structure optimization Validation Hopefully: prototype construction Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 13
  • 14. What Needs to be Done? External geometry and trajectory optimization Model selection Internal structure optimization Validation Hopefully: prototype construction Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 14
  • 15. What Needs to be Done? External geometry and trajectory optimization Model selection so far: aerodynamic model must include induction [L., Gros, Diehl. Induction in Optimal Control of Multiple-Kite Airborne Wind Energy Systems. submitted to IFAC 2017] currently: next: does aero. model need to consider skewed-wake effects? determine skewed-wake model for multi-kite systems Internal structure optimization Validation Hopefully: prototype construction Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 15
  • 16. What Needs to be Done? External geometry and trajectory optimization Model selection Andrea Zanelli optimization algorithms Elena Malz effect of wind data Thomas Haas model validation Internal structure optimization Ashwin Candade structure optimization methods Validation Hopefully: prototype construction Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 16
  • 17. What Needs to be Done? External geometry and trajectory optimization Model selection Chalmers Uni. optimization in AWE problems 3 months Uni. Victoria optimal design with potential flow methods 2 months Internal structure optimization TU. Delft structure optimization (and more potential flow methods) 2 months Validation Hopefully: prototype construction Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 17
  • 18. Conclusion there is a lot to do, but moving steadily forwards... Thank you for your attention Shape Optimization in Multi-Kite AWE Systems Rachel Leuthold (ALU-FR) 18