Description

Leader of the group Scientific Computing: Daan Crommelin.

The SC groups develops efficient mathematical methods to simulate and predict real-world phenomena with inherent uncertainties. Such uncertainties arise from e.g. uncertain model parameters, chaotic dynamics or intrinsic randomness, and can have major impact on model outputs and predictions. Our work is targeted in particular at applications in climate, energy, finance and biology. In these vital areas, the ability to assess uncertainties and their impact on model predictions is of paramount importance. Expertise in the SC group includes uncertainty quantification, data assimilation, stochastic multiscale modeling and risk assessment. The availability of data to inform and improve simulations and predictions, for example through learning and data-driven modeling, plays an important role in our research.

 

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News

New data framework illuminates uncertainties in offshore wind farm conditions

New data framework illuminates uncertainties in offshore wind farm conditions

Wind speeds and wave heights can have a major effect on offshore wind farms. But because they are correlated, their combined significance for wind farm designs couldn’t be factored in until now. CWI researcher Anne Eggels developed methods which take the effect of such correlations or dependencies into account. Today, she will publicly defend her thesis at the University of Amsterdam.

New data framework illuminates uncertainties in offshore wind farm conditions - Read More…

In Memoriam Piet Hemker

In Memoriam Piet Hemker

With sadness we announce that CWI Fellow and former CWI researcher Piet Hemker passed away on 27 May. Hemker had been working at CWI from 1970–2006 and since 1989 also as a professor at the UvA. He has been a CWI Fellow since 2001 and was named Knight in the Order of the Netherlands Lion in 2006.

In Memoriam Piet Hemker - Read More…

Current events

PhD Defence Laurent van den Bos (SC)

  • 2020-02-04T12:00:00+01:00
  • 2020-02-04T14:00:00+01:00
February 4 Tuesday

Start: 2020-02-04 12:00:00+01:00 End: 2020-02-04 14:00:00+01:00

TUD, Senaatszaal of the Auditorium, Mekelweg 5 in Delft

You are cordially invited to the public defence of Laurent van den Bos on his thesis:

Quadrature Methods for Wind Turbine Load Calculations

Promotor: Prof. dr. G. J.W. van Bussel (TUD)
Co-promotoren: dr.ir. W. A. A. M. Bierbooms (TUD) en dr.ir. B. Sanderse (CWI)

 

Time schedule
12:00 - 12:20 Introductory talk
12:30 - 13:30 Defense
13:45 - 14:00 Graduation ceremony
14:00 -             Reception (in the same building)

 

Members

Associated Members

Publications

Current projects with external funding

  • Accurate prediction of slugs in multiphase pipe flow simulation for improved oil and gas production
  • Towards cloud-resolving climate simulations
  • Valuation Adjustments for Improved Risk Management (ABC-EU-XVA)
  • Physics based ICT: The digital twin in pipelines (DP-Trans)
  • Dronesurance
  • Excellence in Uncertainty Reduction of Offshore Wind Systems / Loads and Damage (EUROS)
  • Sloshing of Liquefied Natural Gas: subproject Variability (14-10-project2) (SLING)
  • Verified Exascale Computing for Multiscale Applications (VECMA)
  • WIND Turbine Rotor aeroelasticity UncErtainty quantification (WINDTRUE)

Related partners

  • DNV GL Netherlands B.V
  • FOM
  • Max Planck Institute for Informatics
  • Shell, Amsterdam
  • Bull Sas
  • CBK Sci Con Ltd
  • Bayerische Akademie der Wissenschaften
  • MeitY
  • Instytut Chemii Bioorganicznej Polskiej Akademii Nauk
  • Rijksuniversiteit Groningen
  • Suzlon Blades Technology
  • TNO
  • Technische Universiteit Eindhoven
  • Technische Universiteit Delft
  • Brunel University London
  • University College London
  • Universiteit van Amsterdam