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Number of items: 9.

Farmand, P. ; Nicolai, H. ; Schumann, C. ; Attili, A. ; Berger, L. ; Li, Tao ; Geschwindner, Christopher ; Di Mare, Francesca ; Hasse, C. ; Böhm, B. ; Janicka, J. ; Pitsch, H. (2021):
Numerical investigation and assessment of flamelet-based models for the prediction of pulverized solid fuel homogeneous ignition and combustion.
In: Combustion and Flame, p. 111693. Elsevier, ISSN 0010-2180,
DOI: 10.1016/j.combustflame.2021.111693,

Nicolai, H. ; Wen, X. ; Miranda, F. C. ; Zabrodiec, D. ; Massmeyer, A. ; Di Mare, F. ; Dreizler, A. ; Hasse, C. ; Kneer, R. ; Janicka, J. (2021):
Numerical investigation of swirl-stabilized pulverized coal flames in air and oxy-fuel atmospheres by means of large eddy simulation coupled with tabulated chemistry.
In: Fuel, 287, p. 119429. Elsevier, ISSN 0016-2361,
DOI: 10.1016/j.fuel.2020.119429,

Wen, X. ; Nicolai, H. ; Stein, O. T. ; Janicka, J. ; Kronenburg, A. ; Hasse, C. (2021):
Effects of air and oxy-fuel atmospheres on flamelet modeling of pollutant formation in laminar counterflow solid fuel flames.
In: Fuel, 285, p. 119079. Elsevier, ISSN 0016-2361, e-ISSN 1873-7153,
DOI: 10.1016/j.fuel.2020.119079,

Trespi, S. ; Nicolai, H. ; Debiagi, P. ; Janicka, J. ; Dreizler, A. ; Hasse, C. ; Faravelli, T. (2021):
Development and Application of an Efficient Chemical Reactor Network Model for Oxy-fuel Combustion.
In: Energy & Fuels, 35 (9), pp. 7121-7132. ACS Publications, ISSN 0887-0624,
DOI: 10.1021/acs.energyfuels.0c03560,

Wen, X. ; Nicolai, H. ; Schneider, Henning ; Cai, L. ; Janicka, J. ; Pitsch, H. ; Hasse, C. (2020):
Flamelet LES of a swirl-stabilized multi-stream pulverized coal burner in air and oxy-fuel atmospheres with pollutant formation.
In: Proceedings of the Combustion Institute, Elsevier, ISSN 1540-7489,
DOI: 10.1016/j.proci.2020.05.061,

Nicolai, H. ; Kuenne, G. ; Knappstein, R. ; Schneider, H. ; Becker, L.G. ; Hasse, C. ; Di Mare, F. ; Dreizler, A. ; Janicka, J. (2020):
Large Eddy Simulation of a laboratory-scale gas-assisted pulverized coal combustion chamber under oxy-fuel atmospheres using tabulated chemistry.
In: Fuel, 272, p. 117683. Elsevier, ISSN 0016-2361,
DOI: 10.1016/j.fuel.2020.117683,

Debiagi, P. ; Nicolai, H. ; Han, W. ; Janicka, J. ; Hasse, C. (2020):
Machine learning for predictive coal combustion CFD simulations-From detailed kinetics to HDMR Reduced-Order models.
In: Fuel, 274, p. 117720. DOI: 10.1016/j.fuel.2020.117720,

Debiagi, P. ; Nicolai, H. ; Han, W. ; Janicka, J. ; Hasse, C. (2019):
Towards predictive CFD simulations of coal combustion – using Machine Learning for efficient representation of solid fuel kinetics.
Qingdao, China, Proceedings of the 9th International Symposium on Coal Combustion, (Qingdao, China), 21.-24.7.2019, [Conference or Workshop Item]

Knappstein, R. ; Kuenne, G. ; Nicolai, H. ; Di Mare, F. ; Sadiki, A. ; Janicka, J. (2019):
Description of the char conversion process in coal combustion based on premixed FGM chemistry.
In: Fuel, 236, pp. 124-134. ISSN 00162361,
DOI: 10.1016/j.fuel.2018.08.158,

This list was generated on Tue Jan 18 05:36:21 2022 CET.