An enhanced Sample-Partitioning Adaptive Reduced Chemistry method with a-priori error estimation-Reference-Cited by-同舟云学术

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An enhanced Sample-Partitioning Adaptive Reduced Chemistry method with a-priori error estimation

Published:2024-02 Issue: Volume:260 Page:113221
ISSN:0010-2180
Container-title:Combustion and Flame
language:en
Short-container-title:Combustion and Flame

Author:

Pagani Pietro^ORCID,Malpica Galassi Riccardo^ORCID,Amaduzzi Ruggero^ORCID,Parente Alessandro,Contino Francesco

Funder

Horizon 2020 European Innovation Council Fast Track to Innovation

HORIZON EUROPE Marie Sklodowska-Curie Actions

Horizon 2020 Framework Programme

Waalse Gewest

European Research Council

Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture

Horizon 2020 Marie Skłodowska-Curie Actions

Horizon 2020

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Reference43 articles.

1. Mild combustion;Cavaliere;Prog. Energy Combust. Sci.,2004

2. Modeling of complex premixed burner systems by using flamelet-generated manifolds;Van Oijen;Combust. Flame,2001

3. Assessment of steady and unsteady flamelet models for MILD combustion modeling;Chitgarha;Int. J. Hydrogen Energy,2018

4. Modelling of MILD combustion in a lab-scale furnace with an extended FGM model including turbulence–radiation interaction;Huang;Combust. Flame,2022

5. MILD combustion of hydrogen and air – An efficient modelling approach in CFD validated by experimental data;Mayrhofer;Int. J. Hydrogen Energy,2022

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