Session: DAC-01-2: Control Co-Design

Paper Number: 143495

143495 - Modeling and Control Co-Design of a Floating Offshore Vertical-Axis Wind Turbine System 

This study investigates the modeling and design of a floating vertical-axis wind turbine (FloatVAWT) system through multidisciplinary design optimization (MDO) and control co-design (CCD) approaches. By integrating various disciplinary domain models, the study aims to holistically optimize both the physical and control designs of the FloatVAWT system. Through the identification of impactful design elements and capitalizing on synergistic interactions, the study aims to provide insights to subsystem designers and aid their detailed decisions. The model developed for this CCD framework utilizes automated geometric manipulation and mesh generation of the TLP configuration to explore various FloatVAWT configurations during the early design stages. Surrogate models facilitate efficient design studies within limited computing resources by exchanging model information between disciplinary models and subsystems without running exhaustive simulations during the optimization loop. The model incorporates an aero-hydro-servo dynamic representation of the FloatVAWT system, considering diverse physical and control constraints. Additionally, the study investigates the potential benefits of varying the average rotational speed of the vertical-axis wind turbine (VAWT) rotor to enhance energy production and minimize adverse platform motions, thus reducing the levelized cost of energy (LCOE). System-level design solutions are analyzed to identify design trade-offs and propose mitigation strategies for potential mechanical failures of the rotor. In conclusion, this study provides modeling and optimization strategies for the FloatVAWT system and comprehensively analyzes the system design solutions through MDO and CCD approaches. The outcomes of the study offer insights into system-optimal solutions for subsystem-level decisions while considering multidisciplinary system couplings.

Presenting Author: Yong Hoon Lee University of Memphis

Presenting Author Biography: Assistant Professor, Mechanical Engineering, University of Memphis (2022-present)
Postdoctoral Researcher, Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign (2020-2022)

Ph.D. Mechanical Engineering, University of Illinois at Urbana-Champaign (2020)
M.S. Mechanical Engineering, Ajou University (2010)
B.S. Mechanical Engineering, Ajou University (2008)

Authors:

Yong Hoon Lee University of Memphis
Saeid Bayat University of Illinois at Urbana-Champaign
James Allison University of Illinois at Urbana-Champaign
Md Sanower Hossain University of Texas at Dallas
Todd Griffith University of Texas at Dallas