Experimentation

The NETL MFS program generates well-characterized laboratory-scale data to aid in understanding physical processes for development of mathematical models and for use in code validation. Laboratory-scale cold-flow experiments are performed for a range of small-scale, low temperature test units are used  to generate the data. The experimental units cover the range of fixed, moving, bubbling, turbulent, and transport fluidized bed. Materials of construction allow for visualization of solids and fluid phases and allow for measurements using a variety of flow diagnostic techniques such as Laser Doppler Velocimetry (LDV) and Particle Image Velocimetry (PIV). These methods, combined with the standard temperature, transient pressure, and gas composition measurements provide a comprehensive data set for validation. These experiments also provide platforms for development and validation of novel measurement techniques. For example, accurate measurement of solids circulation rate for circulating fluid bed (CFB) application is critical data for model validation.  A detailed description of the various laboratory facilities available to the MFS group is provided here .

Physical model data from MFS experiments is made available to the research community through the Access to Data portal.  Data is provided to registered MFS site users.

Periodically, the MFS program conducts formal Multiphase Flow challenge problems. The objective of the challenge problem process is to help promote the systematic validation and uncertainty quantification of computational fluid dynamic models of multiphase flows.TheMFS experimentation group uses state-of-the-art experimental techniques, including high speed particle image velocimetry (HsPIV), Laser Doppler Velocimetry, and high speed pressure transducers for data acquisition. Measured Lagrangian and Eulerian particle velocity data and statistics of pressure drop – all with well-defined error bars- are made available to challenge participants for comparison with their simulations.

The challenge problem process enables the multiphase research community to compare multiphase models with a common set of validation data. The knowledge gained will help accelerate the development of accurate computational models of multiphase flows.The Challenge Problems portal provides:

  • Details on the challenge problem process;
  • Information from past challenge problems;
  • Directions for data access;
  • Announcements for future challenge problems