Imperial College London

ProfessorMatthewPiggott

Faculty of EngineeringDepartment of Earth Science & Engineering

Professor of Computational Geoscience and Engineering
 
 
 
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Contact

 

m.d.piggott Website

 
 
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Location

 

4.82Royal School of MinesSouth Kensington Campus

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Summary

 

Summary

See Google Scholar for recent papers 

Biography

  • Professor, 2016-date.
  • Head of the Computational Geoscience & Engineering research section, 2018-date.
  • Director, MSc Environmental Data Science & Machine Learning, 2021-date.
  • Head of the Energy, Environment, Modelling & Minerals (E2M2) research section, 2014-2018.
  • Grantham Reader in Ocean Modelling,  2008-2016.
  • Imperial College Research Fellow,  2005-2008.
  • NERC Research Fellow, 2005-2008.
  • Postdoctoral Researcher, Dept. Earth Science and Engineering, Imperial College London, 2001-2005.
  • PhD Mathematics, University of Bath, 1998-2001.
  • MMath Mathematics (1st class), University of Bath, 1994-1998.

Recent Measures of Esteem

  • 2018: Co-I on renewed EPSRC Platform on Simulation Methods (EP/R029423/1)
  • 2018: PI on GCRF project collaborating with the Maldives.
  • 2018: Co-I on NERC project to study melting at Thwaites Glacier's grounding zone and its control on sea level (NE/S006427/1).
  • 2017: Co-I on EPSRC project on offshore wind turbine and array modelling (EP/R007470/1).
  • 2016: PI on two EPSRC Impact Acceleration awards on coastal ocean modelling and tidal power lagoons.
  • 2015: PI on two eCSE awards: "Delivering a step-change in performance and functionality to the Fluidity shallow water solver through code generation" and "Integrating mesh movement ('r'-adaptive) technology within Fluidity and the PRAgMaTIc parallel anisotropic ('h') adaptive mesh toolkit".
  • 2014: PI on EPSRC Software for the Future II grant (EP/M011054/1) "A new simulation and optimisation platform for marine technology" joint with Oxford and Edinburgh Universities.
  • 2014: Deputy director of NERC Doctoral Training Partnership "Science and Solutions for a Changing Planet" funding 75 PhD studentships over 5 years.
  • 2013: Award of £1.3M EPSRC Platform grant (EP/L000407/1) in "Underpinning Technologies for Finite Element Simulation". 
  • 2012: Lead of hydrodynamics work package on £1M EPSRC project (EP/J010065/1) on the environmental impacts of wave and tidal renewable energy farms as part of the UK Centre for Marine Energy Research.
  • 2012: Lead of modelling work package (NE/K000047/1) in the £2.3M NERC Consortium project "Will Climate Change in the Arctic increase the landslide-tsunami risk to the UK?"
  • 2012: NERC funded project (NE/J015938/1) to collaborate with China on multi-scale ocean modelling.
  • 2010: EPSRC project on regional ocean modelling.
  • 2010: NERC project funded on ocean circulation under floating ice shelves - joint with BAS, Cambridge.
  • 2010: NERC project funded on multi-scale environmental modelling - joint with Department of Geography, University of Cambridge.

Research Interests

Current research involves: computational fluid dynamics; geophysical fluid dynamics; coastal and global ocean modelling; marine renewable energy; geohazards including landslides and tsunamis; adjoint based optimisation methods; anisotropic mesh adaptivity algorithms; moving mesh methods; a priori and a posteriori error measures; mixed and stabilised finite elements for advection dominated flows; high-resolution transport schemes; conservation; turbulence and subgrid-scale modelling; mesh generation; comparisons between computational codes and laboratory experiments; coupling of numerical models.

Links

Selected Publications

Journal Articles

Harcourt F, Angeloudis A, Piggott M, 2019, Utilising the flexible generation potential of tidal range power plants to optimise economic value, Applied Energy, Vol:237, ISSN:0306-2619, Pages:873-884

Angeloudis A, Kramer S, Avdis A, et al., 2018, Optimising tidal range power plant operation, Applied Energy, Vol:212, ISSN:0306-2619, Pages:680-690

Funke SW, Farrell PE, Piggott MD, 2014, Tidal turbine array optimisation using the adjoint approach, Renewable Energy, Vol:63, ISSN:0960-1481, Pages:658-673

Hiester HR, Piggott MD, Farrell PE, et al., 2014, Assessment of spurious mixing in adaptive mesh simulations of the two-dimensional lock-exchange, Ocean Modelling, Vol:73, ISSN:1463-5003, Pages:30-44

Kimura S, Candy AS, Holland PR, et al., 2013, Adaptation of an unstructured-mesh, finite-element ocean model to the simulation of ocean circulation beneath ice shelves, Ocean Modelling, Vol:67, ISSN:1463-5003, Pages:39-51

Oishi Y, Piggott MD, Maeda T, et al., 2013, Three-dimensional tsunami propagation simulations using an unstructured mesh finite element model, Journal of Geophysical Research: Solid Earth, Vol:118, ISSN:2169-9313, Pages:2998-3018

Jacobs CT, Collins GS, Piggott MD, et al., 2013, Multiphase flow modelling of volcanic ash particle settling in water using adaptive unstructured meshes, Geophysical Journal International, Vol:192, Pages:647-665

Funke SW, Pain CC, Kramer SC, et al., 2011, A wetting and drying algorithm with a combined pressure/free-surface formulation for non-hydrostatic models, Advances in Water Resources

Maddison JR, Marshall DP, Pain CC, et al., 2011, Accurate representation of geostrophic and hydrostatic balance in unstructured mesh finite element ocean modelling, Ocean Modelling, Vol:39, ISSN:1463-5003, Pages:248-261

Slingo J, Bates K, Nikiforakis N, et al., 2009, Developing the next-generation climate system models: challenges and achievements, Royal Society of London. Philosophical Transactions A. Mathematical, Physical and Engineering Sciences, Vol:367, ISSN:1364-503X, Pages:815-831

Shaw B, Ambraseys NN, England PC, et al., 2008, Eastern Mediterranean tectonics and tsunami hazard inferred from the AD 365 earthquake, Nature Geoscience, Vol:1, Pages:268-276

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