Fast and effective multi-objective optimisation of submerged wave energy converters

Dídac Rodríguez Arbonès; Boyin Ding; Nataliia Y. Sergiienko; Markus Wagner

doi:10.1007/978-3-319-45823-6_63

Fast and effective multi-objective optimisation of submerged wave energy converters

Dídac Rodríguez Arbonès, Boyin Ding, Nataliia Y. Sergiienko, Markus Wagner

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

11 Citations (Scopus)

Abstract

Despite its considerable potential, wave energy has not yet reached full commercial development. Currently, dozens of wave energy projects are exploring a variety of techniques to produce wave energy efficiently. A common design for a wave energy converter is called a buoy. A buoy typically floats on the surface or just below the surface of the water, and captures energy from the movement of the waves. In this article, we tackle the multi-objective variant of this problem: we are taking into account the highly complex interactions of the buoys, while optimising the energy yield, the necessary area, and the cable length needed to connect all buoys. We employ caching-techniques and problem-specific variation operators to make this problem computationally feasible. This is the first time the interactions between wave energy resource and array configuration are studied in a multi-objective way.

Original language	English
Title of host publication	Parallel Problem Solving from Nature - PPSN XIV - 14th International Conference Edinburgh, UK, September 17–21, 2016 Proceedings
Editors	Julia Handl, Emma Hart, Peter R. Lewis, Manuel López-Ibáñez, Gabriela Ochoa, Ben Paechter
Place of Publication	Cham Switzerland
Publisher	Springer
Pages	675-685
Number of pages	11
ISBN (Electronic)	9783319458236
ISBN (Print)	9783319458229
DOIs	https://doi.org/10.1007/978-3-319-45823-6_63
Publication status	Published - 2016
Externally published	Yes
Event	Parallel Problem Solving from Nature 2016 - John McIntyre Centre, Edinburgh Scotland, United Kingdom Duration: 17 Sept 2016 → 21 Sept 2016 Conference number: 14th http://www.ppsn2016.org/conference/

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	9921
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Parallel Problem Solving from Nature 2016
Abbreviated title	PPSN XIV
Country/Territory	United Kingdom
City	Edinburgh Scotland
Period	17/09/16 → 21/09/16
Internet address	http://www.ppsn2016.org/conference/

Keywords

Multi-objective optimisation
Simulation speed-up
Wave energy

Access to Document

10.1007/978-3-319-45823-6_63

Cite this

Arbonès, D. R., Ding, B., Sergiienko, N. Y., & Wagner, M. (2016). Fast and effective multi-objective optimisation of submerged wave energy converters. In J. Handl, E. Hart, P. R. Lewis, M. López-Ibáñez, G. Ochoa, & B. Paechter (Eds.), Parallel Problem Solving from Nature - PPSN XIV - 14th International Conference Edinburgh, UK, September 17–21, 2016 Proceedings (pp. 675-685). (Lecture Notes in Computer Science; Vol. 9921). Springer. https://doi.org/10.1007/978-3-319-45823-6_63

Arbonès, Dídac Rodríguez ; Ding, Boyin ; Sergiienko, Nataliia Y. et al. / Fast and effective multi-objective optimisation of submerged wave energy converters. Parallel Problem Solving from Nature - PPSN XIV - 14th International Conference Edinburgh, UK, September 17–21, 2016 Proceedings. editor / Julia Handl ; Emma Hart ; Peter R. Lewis ; Manuel López-Ibáñez ; Gabriela Ochoa ; Ben Paechter. Cham Switzerland : Springer, 2016. pp. 675-685 (Lecture Notes in Computer Science).

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abstract = "Despite its considerable potential, wave energy has not yet reached full commercial development. Currently, dozens of wave energy projects are exploring a variety of techniques to produce wave energy efficiently. A common design for a wave energy converter is called a buoy. A buoy typically floats on the surface or just below the surface of the water, and captures energy from the movement of the waves. In this article, we tackle the multi-objective variant of this problem: we are taking into account the highly complex interactions of the buoys, while optimising the energy yield, the necessary area, and the cable length needed to connect all buoys. We employ caching-techniques and problem-specific variation operators to make this problem computationally feasible. This is the first time the interactions between wave energy resource and array configuration are studied in a multi-objective way.",

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note = "Funding Information: This work has been supported by the ARC Discovery Early Career Researcher Award DE160100850. Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; Parallel Problem Solving from Nature 2016, PPSN XIV ; Conference date: 17-09-2016 Through 21-09-2016",

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Arbonès, DR, Ding, B, Sergiienko, NY & Wagner, M 2016, Fast and effective multi-objective optimisation of submerged wave energy converters. in J Handl, E Hart, PR Lewis, M López-Ibáñez, G Ochoa & B Paechter (eds), Parallel Problem Solving from Nature - PPSN XIV - 14th International Conference Edinburgh, UK, September 17–21, 2016 Proceedings. Lecture Notes in Computer Science, vol. 9921, Springer, Cham Switzerland, pp. 675-685, Parallel Problem Solving from Nature 2016, Edinburgh Scotland, United Kingdom, 17/09/16. https://doi.org/10.1007/978-3-319-45823-6_63

Fast and effective multi-objective optimisation of submerged wave energy converters. / Arbonès, Dídac Rodríguez; Ding, Boyin; Sergiienko, Nataliia Y. et al.
Parallel Problem Solving from Nature - PPSN XIV - 14th International Conference Edinburgh, UK, September 17–21, 2016 Proceedings. ed. / Julia Handl; Emma Hart; Peter R. Lewis; Manuel López-Ibáñez; Gabriela Ochoa; Ben Paechter. Cham Switzerland: Springer, 2016. p. 675-685 (Lecture Notes in Computer Science; Vol. 9921).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AU - Sergiienko, Nataliia Y.

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Arbonès DR, Ding B, Sergiienko NY, Wagner M. Fast and effective multi-objective optimisation of submerged wave energy converters. In Handl J, Hart E, Lewis PR, López-Ibáñez M, Ochoa G, Paechter B, editors, Parallel Problem Solving from Nature - PPSN XIV - 14th International Conference Edinburgh, UK, September 17–21, 2016 Proceedings. Cham Switzerland: Springer. 2016. p. 675-685. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-45823-6_63

Fast and effective multi-objective optimisation of submerged wave energy converters

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