EconPapers    
Economics at your fingertips  
 

Control co-design of a floating offshore wind turbine

Nikhar J. Abbas, John Jasa, Daniel S. Zalkind, Alan Wright and Lucy Pao

Applied Energy, 2024, vol. 353, issue PB, No S0306261923014009

Abstract: Several control co-design (CCD) optimizations of floating offshore wind turbines are presented in this work using the newly introduced Wind Energy with Integrated Servo-Control (WEIS) framework. Three methods for parameterizing the primary tuning inputs to the Reference Open-Source Controller are presented and optimized, including a sensitivity-margin constrained controller. WEIS, a detailed, open-source floating offshore wind turbine design optimization tool is then used to conduct CCD optimizations on the International Energy Agency (IEA) 15MW wind turbine on the University of Maine VolturnUS-S semisubmersible platform. The results from optimizations are shown to reduce the levelized cost of energy (LCOE) by approximately 1% and 4% when optimizing the tower and platform, respectively. It is also found that the coupling between the tower and control system parameters is weaker than the coupling between the floating system and control system parameters, showing that CCD may not be advantageous for certain problems. Finally, a subset of operational design load cases is run to verify the optimized controller and turbine models.

Keywords: Floating wind turbines; Control systems; Optimization; Multidisciplinary design (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261923014009
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:353:y:2024:i:pb:s0306261923014009

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2023.122036

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:appene:v:353:y:2024:i:pb:s0306261923014009