Your browser is not recommended for EDX, we suggest using the latest version of Google Chrome.

Parameter Calibration and Uncertainty Quantification via Surrogate Model Optimization for CFD-DEM Modelling of a Small-Scale Slugging Bed

License(s):

No License Restrictions

ARS TRS

Followers: 0

Citation (Click to Copy)

Data and Resources

    Gathering Resources...

Keywords

OSTI Info

Field Value
Dataset Type FP
Contract Nos DE-FE0004000
Org Research Org NETL
Language English
Country US
Sponsor Org USDOE Office of Fossil Energy (FE)
Site Url https://edx.netl.doe.gov/dataset/parameter-calibration-and-uncertainty-quantification-via-surrogate-model-optimization-for-cfd-dem
Contact Name Elizabeth Warman
Contact Org National Energy Technology Laboratory
Doi 10.18141/1479089

Additional Info

Field Value
Last Updated April 15, 2019, 06:56 (LMT)
Created April 15, 2019, 06:56 (LMT)
Citation Fullmer, W. D.; Webber, J.; VanEssendelft, D. Parameter Calibration and Uncertainty Quantification via Surrogate Model Optimization for CFD-DEM Modelling of a Small-Scale Slugging Bed; NETL-TRS-20-2018; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2018; p 24. DOI: 10.18141/1479089.
Netl Product yes
Osti yes
Poc Email Jonathan.Lekse@netl.doe.gov
Point Of Contact Jonathan Lekse
Program Or Project Advanced Reaction Systems (ARS)
Project Number DE-FE0004000