Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 26th International Ocean and Polar Engineering Conference, ISOPE 2016 |
| Editors | Alan M. Wang, Jin S. Chung, Ted Kokkinis, Michael Muskulus |
| Publisher | International Society of Offshore and Polar Engineers |
| Pages | 156-163 |
| Number of pages | 8 |
| ISBN (electronic) | 9781880653883 |
| Publication status | Published - 2016 |
| Event | 26th Annual International Ocean and Polar Engineering Conference, ISOPE 2016 - Rhodes, Greece Duration: 26 Jun 2016 → 1 Jul 2016 |
Publication series
| Name | Proceedings of the International Offshore and Polar Engineering Conference |
|---|---|
| Volume | 2016-January |
| ISSN (Print) | 1098-6189 |
| ISSN (electronic) | 1555-1792 |
Abstract
The state-of-the-art design of jacket substructures for offshore wind energy converters depends highly on empirical knowledge and is usually limited to few iterations for tube diameters and thicknesses. To address this point and improve the whole design procedure, a holistic methodology is proposed, in which the entire structural design is formulated as a mathematical optimization problem with practically relevant objectives and constraints. This is solved by a meta-heuristic Particle Swarm Optimization approach with some modifications to face constraint handling. The method is applied for the design of a jacket substructure for the NREL 5MW turbine and the results show massive potential concerning cost reduction of offshore wind turbines, but motivate to spend further effort on the development of this method, particularly with regard to computation time, too.
Keywords
- Jacket structure, Offshore wind turbine, Particle Swarm Optimization, Structural optimization, Substructure
ASJC Scopus subject areas
- Energy(all)
- Energy Engineering and Power Technology
- Engineering(all)
- Ocean Engineering
- Engineering(all)
- Mechanical Engineering
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Proceedings of the 26th International Ocean and Polar Engineering Conference, ISOPE 2016. ed. / Alan M. Wang; Jin S. Chung; Ted Kokkinis; Michael Muskulus. International Society of Offshore and Polar Engineers, 2016. p. 156-163 (Proceedings of the International Offshore and Polar Engineering Conference; Vol. 2016-January).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Approaching the ideal design of jacket substructures for offshore wind turbines with a Particle Swarm Optimization algorithm
AU - Häfele, Jan
AU - Rolfes, Raimund
N1 - Publisher Copyright: © Copyright 2016 by the International Society of Offshore and Polar Engineers (ISOPE). Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016
Y1 - 2016
N2 - The state-of-the-art design of jacket substructures for offshore wind energy converters depends highly on empirical knowledge and is usually limited to few iterations for tube diameters and thicknesses. To address this point and improve the whole design procedure, a holistic methodology is proposed, in which the entire structural design is formulated as a mathematical optimization problem with practically relevant objectives and constraints. This is solved by a meta-heuristic Particle Swarm Optimization approach with some modifications to face constraint handling. The method is applied for the design of a jacket substructure for the NREL 5MW turbine and the results show massive potential concerning cost reduction of offshore wind turbines, but motivate to spend further effort on the development of this method, particularly with regard to computation time, too.
AB - The state-of-the-art design of jacket substructures for offshore wind energy converters depends highly on empirical knowledge and is usually limited to few iterations for tube diameters and thicknesses. To address this point and improve the whole design procedure, a holistic methodology is proposed, in which the entire structural design is formulated as a mathematical optimization problem with practically relevant objectives and constraints. This is solved by a meta-heuristic Particle Swarm Optimization approach with some modifications to face constraint handling. The method is applied for the design of a jacket substructure for the NREL 5MW turbine and the results show massive potential concerning cost reduction of offshore wind turbines, but motivate to spend further effort on the development of this method, particularly with regard to computation time, too.
KW - Jacket structure
KW - Offshore wind turbine
KW - Particle Swarm Optimization
KW - Structural optimization
KW - Substructure
UR - http://www.scopus.com/inward/record.url?scp=84987924229&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84987924229
T3 - Proceedings of the International Offshore and Polar Engineering Conference
SP - 156
EP - 163
BT - Proceedings of the 26th International Ocean and Polar Engineering Conference, ISOPE 2016
A2 - Wang, Alan M.
A2 - Chung, Jin S.
A2 - Kokkinis, Ted
A2 - Muskulus, Michael
PB - International Society of Offshore and Polar Engineers
T2 - 26th Annual International Ocean and Polar Engineering Conference, ISOPE 2016
Y2 - 26 June 2016 through 1 July 2016
ER -