Type Citation: Report

Deepthi Chandramouli, Huda Ashfaq, William A. Rogers, “Experimental and Simulation Analysis of Binary Mixtures of Biomass and Inert Material”, DOE/NETL-2020/2134; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2020; p. 44. DOI: 10.2172/1619201.

Fullmer, W. D.; Dahl, S.; Weber, J. Surrogate Modeling Approach to Uncertainty Quantification for a DEM Model of a Rotating Cubic Tumbler; NETLTRS-5-2019; NETL Technical Report Series; U.S. Department of Energy, NationalEnergy Technology Laboratory: Morgantown, WV, 2019, p 24. DOI: 10.18141/1514272.

Xu, Y.; Shahnam, M.; Fullmer, W. D.; Rogers, W. A., “CFD-Driven Optimization of a Bench-Scale Fluidized Bed Biomass Gasifier using MFiX-TFM and Nodeworks-OT”, NETL-TRS-3-2019; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2019; p 28. DOI: 10.18141/1506664.

Fullmer, W. D.; Webber, J.; VanEssendelft, D. “Parameter Calibration and Uncertainty Quantification via Surrogate Model Optimization for CFD-DEM Modeling 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.

Ansari, A., Mohaghegh, S., Shahnam, M., Dietiker, J. F., Li, T., and Gel, A. Data Driven Smart Proxy for CFD Application of Big Data Analytics & Machine Learning in Computational Fluid Dynamics, Part Three: Model Building at the Layer Level. United States: N. p., 2018. Web. doi:10.2172/1463895 (https://www.osti.gov/servlets/purl/1463895/)

Xi Gao, Tingwen Li, William Rogers, Rupen Panday, Huda Ashfaq, “Status of NETL CCPC Activities” (172 MB), Consortium for Computational Physics and Chemistry, BioEnergy Technology Office Project Meeting at NREL, September 11, 2018.

Ansari, A., Mohaghegh, S., Shahnam, M., Dietiker, J. F., & Li, T. Data Driven Smart Proxy for CFD Application of Big Data Analytics & Machine Learning in Computational Fluid Dynamics, Part Two: Model Building at the Cell Level. United States. doi:10.2172/1431303.

Ansari, A., Mohaghegh, S., Shahnam, M., Dietiker, J. F., Takbiri Borujeni, A., & Fathi, E. Data Driven Smart Proxy for CFD: Application of Big Data Analytics & Machine Learning in Computational Fluid Dynamics, Part One: Proof of Concept; NETL-PUB-21574; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2017.. United States. doi:10.2172/1417305.

Shahnam, M.; Gel, A.; Subramaniyan, A. K.; Musser, J.; and Dietiker, J. F., “Uncertainty Quantification Analysis of Both Experimental and CFD Simulation Data of a Bench-scale Fluidized Bed Gasifier”, NETL-PUB-21341; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2017; p 68. https://doi.org/10.2172/1398265