Mesh Dependence in PDE-Constrained Optimisation

An Application in Tidal Turbine Array Layouts

  • Tobias Schwedes
  • David A. Ham
  • Simon W. Funke
  • Matthew D. Piggott

Part of the Mathematics of Planet Earth book series (MPE)

Also part of the SpringerBriefs in Mathematics of Planet Earth book sub series (SBMPE-WCO)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Tobias Schwedes, David A. Ham, Simon W. Funke, Matthew D. Piggott
    Pages 1-52
  3. Tobias Schwedes, David A. Ham, Simon W. Funke, Matthew D. Piggott
    Pages 53-78
  4. Tobias Schwedes, David A. Ham, Simon W. Funke, Matthew D. Piggott
    Pages 79-107
  5. Back Matter
    Pages 109-110

About this book

Introduction

This book provides an introduction to PDE-constrained optimisation using finite elements and the adjoint approach. The practical impact of the mathematical insights presented here are demonstrated using the realistic scenario of the optimal placement of marine power turbines, thereby illustrating the real-world relevance of best-practice Hilbert space aware approaches to PDE-constrained optimisation problems.

Many optimisation problems that arise in a real-world context are constrained by partial differential equations (PDEs). That is, the system whose configuration is to be optimised follows physical laws given by PDEs. This book describes general Hilbert space formulations of optimisation algorithms, thereby facilitating optimisations whose controls are functions of space. It demonstrates the importance of methods that respect the Hilbert space structure of the problem by analysing the mathematical drawbacks of failing to do so. The approaches considered are illustrated using the optimisation problem arising in tidal array layouts mentioned above.

This book will be useful to readers from engineering, computer science, mathematics and physics backgrounds interested in PDE-constrained optimisation and their real-world applications.

Keywords

49K20, 65K10, 65L60, 68U20, 35L25, 46E30 gradient-based optimisation mesh-independent optimisation Riesz's representation tidal farm layout renewable energy discretisation dependent optimisation PDE-constraint optimisation derivative based methods finite elements adjoint methods

Authors and affiliations

  • Tobias Schwedes
    • 1
  • David A. Ham
    • 2
  • Simon W. Funke
    • 3
  • Matthew D. Piggott
    • 4
  1. 1.Imperial CollegeLondonUnited Kingdom
  2. 2.Department of MathematicsImperial CollegeLondonUnited Kingdom
  3. 3.Biomedical ComputingSimula Research LaboratoryOsloNorway
  4. 4.Earth Science & EngineeringImperial CollegeLondonUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-59483-5
  • Copyright Information The Author(s) 2017
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-59482-8
  • Online ISBN 978-3-319-59483-5
  • About this book