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World Congress of Structural and Multidisciplinary Optimisation

WCSMO 2017: Advances in Structural and Multidisciplinary Optimization pp 2013–2026Cite as

Development of a Multi-Objective Genetic Algorithm for the Design of Offshore Renewable Energy Systems

Abstract

This paper describes the development of a framework using a genetic algorithm in order to aid in the design of a mooring system for offshore renewable energy devices. This framework couples numerical models of the mooring system and structural response to cost models in order for the genetic algorithm to effectively operate considering multiple objectives. The use of this multi-objective optimization approach allows multiple design objectives such as minimum breaking load and the material cost to be minimized simultaneously using an automated mathematical approach. Through the application of this automated approach, a wider set of designs will be considered allowing the system designers to select a design which appropriately balances the trade-off between the competing objectives. In this work, a set of mooring designs that represent efficient solutions for the stipulated constraints are found and presented. The developed framework will be applicable to other offshore technology subsystems allowing multi-objective optimization and reliability to be considered from the design stage in order to improve the design efficiency and aid the industry in using more systematic design approaches.

Keywords

  • Mooring system
  • Multi-objective optimization
  • Renewable energy systems
  • Genetic algorithm

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Acknowledgements

This work is funded by the EPSRC (UK) grant for the SuperGen United Kingdom Centre for Marine Energy Research (UKCMER) [grant number: EP/P008682/1].

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Authors and Affiliations

  1. Renewable Energy Group, College of Engineering, Mathematics, and Physical Sciences, University of Exeter, Penryn, UK

    Ajit C. Pillai, Philipp R. Thies & Lars Johanning

Authors
  1. Ajit C. Pillai
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  2. Philipp R. Thies
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  3. Lars Johanning
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Corresponding author

Correspondence to Ajit C. Pillai .

Editor information

Editors and Affiliations

  1. Chair for Optimization of Mechanical Stuctures, Faculty for Mechanical Engineering and Safety Engineering, University of Wuppertal, Wuppertal, Germany

    Prof. Dr. Axel Schumacher

  2. Institute for Construction Enginnering, Technische Universität Braunschweig, Braunschweig, Germany

    Prof. Dr. Thomas Vietor

  3. Braunschweig, Germany

    Sierk Fiebig

  4. Chair of Structural Analysis, Technische University of Munich, Munich, Germany

    Prof. Dr. Kai-Uwe Bletzinger

  5. Engineering Center, ECAE 197, University of Colorado Boulder, Boulder, Colorado, USA

    Prof. Dr. Kurt Maute

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Pillai, A.C., Thies, P.R., Johanning, L. (2018). Development of a Multi-Objective Genetic Algorithm for the Design of Offshore Renewable Energy Systems. In: Schumacher, A., Vietor, T., Fiebig, S., Bletzinger, KU., Maute, K. (eds) Advances in Structural and Multidisciplinary Optimization. WCSMO 2017. Springer, Cham. https://doi.org/10.1007/978-3-319-67988-4_149

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  • DOI: https://doi.org/10.1007/978-3-319-67988-4_149

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67987-7

  • Online ISBN: 978-3-319-67988-4

  • eBook Packages: EngineeringEngineering (R0)

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