Mostrar el registro sencillo del ítem
dc.contributor.author | García-Oliver, José M | es_ES |
dc.contributor.author | Pastor Enguídanos, José Manuel | es_ES |
dc.contributor.author | Olmeda-Ramiro, Iván | es_ES |
dc.contributor.author | Kalbhor, A. | es_ES |
dc.contributor.author | Mira Martínez, Daniel | es_ES |
dc.contributor.author | Van-Oijen, Jeroen | es_ES |
dc.date.accessioned | 2024-03-07T19:02:20Z | |
dc.date.available | 2024-03-07T19:02:20Z | |
dc.date.issued | 2024-02 | es_ES |
dc.identifier.issn | 0010-2180 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/202967 | |
dc.description.abstract | [EN] This work is focused on the modeling and analysis of soot formation and oxidation in the pressurized ethylene-based model burner investigated at DLR. This burner features a dual swirler configuration for the primary air supply and includes secondary dilution jets inside the combustion chamber, showing reacting flow characteristics representative of the RQL combustor technology. Large-eddy simulations (LES) of the DLR burner are conduced here to assess a coupling approach between flamelet generated manifold (FGM) chemistry and discrete sectional method (DSM) based soot model with clustering method. First, a validation of the numerical results is conducted for the gas velocity and temperature fields, and good agreement is obtained for both mean and fluctuating quantities. The Soot Volume Fraction (SVF) computed from LES shows a satisfactory agreement with the experimental data in both SVF distribution and magnitude. The analysis also includes a numerical investigation of the soot production and the Particle Size Distributions (PSD). Finally, the configuration without secondary air is evaluated and an accurate prediction of the SVF field is also obtained. In this case, the absence of dilution air strongly influences the central region of the combustion chamber, and soot distribution and PSD are mainly affected by transport and dilution, not oxidation. It is finally concluded the proposed modeling framework is capable of predicting the soot field and particle size distributions inside the combustor for both operating conditions. | es_ES |
dc.description.sponsorship | The research leading to these results has received funding from the European Union's Horizon 2020 Programme under the ESTiMatE project, grant agreement No. 821418, and the AHEAD PID2020-118387RB-C33 and SAFLOW TED2021-131618B-C21 and TED2021-131618B-C22 projects from the Ministerio de Ciencia e Innovacion, Spain. We acknowledge PRACE for awarding us access through the SootAero project to HAWK at GCS@HLRS, Germany. The authors thankfully acknowledge the computer resources at LaPalma and MareNos-trum, and the technical support provided by Instituto de Astrofisica de Canarias (IM-2021-2-0027) and Barcelona Supercomputing Center (IM-2021-3-0016) . I. Olmeda acknowledges the Ayuda de Formacion de Profesorado Universitario (FPU 18/03065) from the Subprograma de Estatal de Formacion del Ministerio de Ciencia, Innovacion y Universidades of Spain. DM acknowledges the grant Ayudas para contratos Ramon y Cajal (RYC) 2021: RYC2021-034654-I from Ministerio de Ciencia e Innovacion. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Combustion and Flame | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Soot, Large-eddy simulation | es_ES |
dc.subject | Discrete sectional method | es_ES |
dc.subject | Particle size distribution | es_ES |
dc.subject | Flamelet generated manifold | es_ES |
dc.subject | Gas turbine combustor | es_ES |
dc.subject.classification | MAQUINAS Y MOTORES TERMICOS | es_ES |
dc.title | LES of a pressurized sooting aero-engine model burner using a computationally efficient discrete sectional method coupled to tabulated | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.combustflame.2023.113198 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-118387RB-C31/ES/INSTALACION EXPERIMENTAL PARA LA SOSTENIBILIDAD DEL AEROMOTOR EN AHEAD/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/821418/EU/Emissions SooT ModEl/ESTiMatE | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//TED2021-131618A-C22//MODELADO DE COMBUSTIBLE SOSTENIBLE DE AVIACION PARA BAJAS EMISIONES. ATOMIZACION/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ //FPU18%2F03065//AYUDA PREDOCTORAL FPU-OLMEDA RAMIRO. PROYECTO: ASSESSMENT OF DETAILED COMBUSTION AND SOOT MODELS FOR ADVANCED GAS TURBINE BURNERS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/Gobierno de Canarias//IM-2021-2-0027/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TED2021-131618B-C22/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//RYC2021-034654-I/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/BSC//IM-2021-3-0016/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario CMT-Motores Térmicos - Institut Universitari CMT-Motors Tèrmics | es_ES |
dc.description.bibliographicCitation | García-Oliver, JM.; Pastor Enguídanos, JM.; Olmeda-Ramiro, I.; Kalbhor, A.; Mira Martínez, D.; Van-Oijen, J. (2024). LES of a pressurized sooting aero-engine model burner using a computationally efficient discrete sectional method coupled to tabulated. Combustion and Flame. 260. https://doi.org/10.1016/j.combustflame.2023.113198 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.combustflame.2023.113198 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 260 | es_ES |
dc.relation.pasarela | S\510288 | es_ES |
dc.contributor.funder | Gobierno de Canarias | es_ES |
dc.contributor.funder | CLEAN SKY JOINT UNDERTAKING | es_ES |
dc.contributor.funder | Barcelona Supercomputing Center | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | MINISTERIO DE CIENCIA E INNOVACION | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |
dc.contributor.funder | Partnership for Advanced Computing in Europe AISBL | es_ES |