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Data Assimilation

2022-09-06

Experiments with simple model-order reduction methods

Model-order reduction is a powerful technique to speed up simulations. It can be used to solve peformance issues in applications like design optimization, model-based predictive control, or digital twinning. In this blog, we’ll give a very basic introduction to these techniques and describe some experiments that were done at VORtech by two interns at VORtech, Floris Roodenburg and Abinash Mishra. They could speed up calculations by more than a factor of ten.
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2017-10-13

Models and sensor data: a powerful combination

Models and sensor data are an indispensible combination. Sensor data is needed to validate models and the models are often necessary to understand and extrapolate the data. VORtech has been working a two very exciting projects in the past few months in which sensor data and models are combined in an innovative application.
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2017-08-11

Summer School: Data Assimilation

The Summer school "Data Assimilation and its Applications in Oceanography, Hydrology, Risk & Safety and Reservoir Engineering" in Sibiu, Romania.
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2017-01-12

Digital Twins in Asset Management

When I first heard the term Digital Twin, I was immediately fascinated. It opens up an entire new realm of simulation.
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2016-10-10

Data-assimilation on National eScience Symposium 2016

On the 4th National eScience Symposium 2016 there will be a standing table where OpenDA will be presented by the Netherlands eScience Center and VORtech.
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2014-10-17

Obtaining optimal settings for groundwater flow models

Groundwater flow models require proper setting of parameters. Obtaining optimal settings based on measurement by using the OpenDA data-assimilation tool.
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