Methodology for optimizing composite towers for use on floating wind turbines

Young, Andrew C.; Goupee, Andrew J.; Dagher, Habib J.; Viselli, Anthony M.

doi:10.1063/1.4984259

Title: Methodology for optimizing composite towers for use on floating wind turbines

Journal Article · Wed May 24 00:00:00 EDT 2017 · Journal of Renewable and Sustainable Energy

DOI:https://doi.org/10.1063/1.4984259· OSTI ID:1466749

Young, Andrew C. ^[1];

^[2]; Dagher, Habib J. ^[1]; Viselli, Anthony M. ^[1]

University of Maine, Orono, ME (United States). Advanced Structures and Composites Center
University of Maine, Orono, ME (United States). Department of Mechanical Engineering

A methodology for the design and optimization of a composite wind turbine tower for use on a floating offshore platform is presented. A composite turbine tower on a floating offshore platform not only has the potential to reduce maintenance and upkeep costs associated with the use of steel offshore but also has potential to reduce the tower mass and subsequently the support platform mass. The optimization problem is formulated to obtain a turbine tower that meets all strength and serviceability criteria and minimizes the tower mass. The optimization and design process link a number of dynamic analyses and finite element routines using a genetic algorithm. This work documents the optimization and design software and illustrates its use in various case studies for a 6 MW floating wind turbine system. Case studies include the optimization of a steel tower as a comparison to a composite material tower and the use of a cored, sandwich panel composite tower versus a solid composite tower. The results demonstrate that significant reductions in the tower mass are likely when comparing a steel tower with a composite tower. Also demonstrated for the platform and turbine configuration considered in this work is that the minimum mass tower design is driven towards a solid shell composite configuration, rather than a sandwich panel tower shell, in the face of reasonable design constraints.

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Research Organization:: University of Maine, Orono, ME (United States). Department of Mechanical Engineering; University of Maine, Orono, ME (United States). Advanced Structures and Composites Center

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: EE0002981; EE0003278; EE0006713

OSTI ID:: 1466749

Alternate ID(s):: OSTI ID: 1361917; OSTI ID: 1843392

Journal Information:: Journal of Renewable and Sustainable Energy, Vol. 9, Issue 3; ISSN 1941-7012

Publisher:: American Institute of Physics (AIP)Copyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 14 works

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References (25)

Design and model confirmation of the intermediate scale VolturnUS floating wind turbine subjected to its extreme design conditions offshore Maine: Design and model validation of VolturnUS floating wind turbine Viselli, Anthony M.; Goupee, Andrew J.; Dagher, Habib J. Wind Energy, Vol. 19, Issue 6 https://doi.org/10.1002/we.1886	journal	September 2015
Permutation genetic algorithm for stacking sequence design of composite laminates Liu, Boyang; T. Haftka, Raphael; A. Akgün, Mehmet Computer Methods in Applied Mechanics and Engineering, Vol. 186, Issue 2-4 https://doi.org/10.1016/S0045-7825(99)90391-2	journal	June 2000
An efficient constraint handling method for genetic algorithms Deb, Kalyanmoy Computer Methods in Applied Mechanics and Engineering, Vol. 186, Issue 2-4 https://doi.org/10.1016/S0045-7825(99)00389-8	journal	June 2000
Optimization of tall guyed masts using genetic algorithms Belevičius, Rimantas; Jatulis, Donatas; Šešok, Dmitrij Engineering Structures, Vol. 56 https://doi.org/10.1016/j.engstruct.2013.05.012	journal	November 2013
Optimization of laminated composites considering different failure criteria Lopez, R. H.; Luersen, M. A.; Cursi, E. S. Composites Part B: Engineering, Vol. 40, Issue 8 https://doi.org/10.1016/j.compositesb.2009.05.007	journal	December 2009
Topology optimization approaches: A comparative review Sigmund, Ole; Maute, Kurt Structural and Multidisciplinary Optimization, Vol. 48, Issue 6 https://doi.org/10.1007/s00158-013-0978-6	journal	August 2013
Model Tests for a Floating Wind Turbine on Three Different Floaters Koo, Bonjun J.; Goupee, Andrew J.; Kimball, Richard W. Journal of Offshore Mechanics and Arctic Engineering, Vol. 136, Issue 2 https://doi.org/10.1115/1.4024711	journal	March 2014
Wind Energy Handbook Burton, Tony; Sharpe, David; Jenkins, Nick https://doi.org/10.1002/0470846062	book	September 2001
Model Test of a 1:8-Scale Floating Wind Turbine Offshore in the Gulf of Maine1 Viselli, Anthony M.; Goupee, Andrew J.; Dagher, Habib J. Journal of Offshore Mechanics and Arctic Engineering, Vol. 137, Issue 4 https://doi.org/10.1115/1.4030381	journal	May 2015
Two-dimensional optimization of material composition of functionally graded materials using meshless analyses and a genetic algorithm Goupee, Andrew J.; Vel, Senthil S. Computer Methods in Applied Mechanics and Engineering, Vol. 195, Issue 44-47 https://doi.org/10.1016/j.cma.2005.09.017	journal	September 2006
Analysis of measurements and simulations from the Hywind Demo floating wind turbine: Dynamic analysis of the Hywind Demo floating wind turbine Skaare, Bjørn; Nielsen, Finn Gunnar; Hanson, Tor David Wind Energy, Vol. 18, Issue 6 https://doi.org/10.1002/we.1750	journal	April 2014
Numerical analysis and experimental correlation of composite shell buckling and post-buckling Bisagni, C. Composites Part B: Engineering, Vol. 31, Issue 8 https://doi.org/10.1016/S1359-8368(00)00031-7	journal	January 2000
Structural optimization procedure of a composite wind turbine blade for reducing both material cost and blade weight Hu, Weifei; Park, Dohyun; Choi, DongHoon Engineering Optimization, Vol. 45, Issue 12 https://doi.org/10.1080/0305215X.2012.743533	journal	December 2013
A memetic algorithm based on multiple learning procedures for global optimal design of composite structures António, Carlos Conceição Memetic Computing, Vol. 6, Issue 2 https://doi.org/10.1007/s12293-014-0132-z	journal	April 2014
Artificial Bee Colony (ABC) for multi-objective design optimization of composite structures Omkar, S. N.; Senthilnath, J.; Khandelwal, Rahul Applied Soft Computing, Vol. 11, Issue 1 https://doi.org/10.1016/j.asoc.2009.12.008	journal	January 2011
An experimental investigation into the buckling and post-buckling of CFRP shells under combined axial and torsion loading Bisagni, Chiara; Cordisco, Potito Composite Structures, Vol. 60, Issue 4 https://doi.org/10.1016/S0263-8223(03)00024-2	journal	June 2003
Static and dynamic characteristics of multi-cell jointed GFRP wind turbine towers Polyzois, Dimos J.; Raftoyiannis, Ioannis G.; Ungkurapinan, Nibong Composite Structures, Vol. 90, Issue 1 https://doi.org/10.1016/j.compstruct.2009.01.005	journal	September 2009
Implementation of a 2MW Floating Wind Turbine Prototype Offshore Portugal Cermelli, Christian; Roddier, Dominique; Weinstein, Alla Offshore Technology Conference https://doi.org/10.4043/23492-MS	conference	April 2012
Estimation of extreme wave and wind design parameters for offshore wind turbines in the Gulf of Maine using a POT method Viselli, Anthony M.; Forristall, George Z.; Pearce, Bryan R. Ocean Engineering, Vol. 104 https://doi.org/10.1016/j.oceaneng.2015.04.086	journal	August 2015
Validation of a FAST semi-submersible floating wind turbine numerical model with DeepCwind test data Coulling, Alexander J.; Goupee, Andrew J.; Robertson, Amy N. Journal of Renewable and Sustainable Energy, Vol. 5, Issue 2 https://doi.org/10.1063/1.4796197	journal	March 2013
Optimum design of laminated composite plates under dynamic excitation Assie, A. E.; Kabeel, A. M.; Mahmoud, F. F. Applied Mathematical Modelling, Vol. 36, Issue 2 https://doi.org/10.1016/j.apm.2011.07.015	journal	February 2012
Stacking sequence design of composite laminates for maximum strength using genetic algorithms Park, J. H.; Hwang, J. H.; Lee, C. S. Composite Structures, Vol. 52, Issue 2 https://doi.org/10.1016/S0263-8223(00)00170-7	journal	May 2001
Multi-objective optimization of laser-welded steel sandwich panels for static loads using a genetic algorithm Poirier, Jeffrey D.; Vel, Senthil S.; Caccese, Vincent Engineering Structures, Vol. 49 https://doi.org/10.1016/j.engstruct.2012.10.033	journal	April 2013
Wind Energy Handbook Burton, Tony; Jenkins, Nick; Sharpe, David https://doi.org/10.1002/9781119992714	book	May 2011
Definition of a 5-MW Reference Wind Turbine for Offshore System Development Jonkman, J.; Butterfield, S.; Musial, W. https://doi.org/10.2172/947422	report	February 2009

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