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Computational optimization of the combustion system of a heavy duty direct injection diesel engine operating with dimethyl-ether

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Computational optimization of the combustion system of a heavy duty direct injection diesel engine operating with dimethyl-ether

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dc.contributor.author Benajes, Jesús es_ES
dc.contributor.author Novella Rosa, Ricardo es_ES
dc.contributor.author Pastor Enguídanos, José Manuel es_ES
dc.contributor.author Hernández-López, Alberto es_ES
dc.contributor.author Kokjohn, Sage L. es_ES
dc.date.accessioned 2019-06-30T20:02:02Z
dc.date.available 2019-06-30T20:02:02Z
dc.date.issued 2018 es_ES
dc.identifier.issn 0016-2361 es_ES
dc.identifier.uri http://hdl.handle.net/10251/122919
dc.description.abstract [EN] A genetic algorithm optimization methodology is applied to the design of the combustion system of a heavy-duty diesel engine fueled with dimethyl ether (DME). The optimization includes the key combustion system related hardware, bowl geometry and injection nozzle design, together with the most relevant air management and injection settings. The GA was linked to the KIVA computational fluid dynamics code and an automated grid generation tool to perform a single-objective optimization. The optimization target focused on maximizing efficiency, while keeping NOx emissions, peak pressure and maximum pressure rise rate under the baseline engine levels. This research work not only provides the optimum combustion system definition, but also the cause-effect relation between the inputs and outputs under investigation, identifying the most relevant parameters controlling the performance of a DME fueled engine. Piston bowl geometry is found to primarily influence heat transfer and combustion efficiency due to its impact on the surface area and fuel distribution, respectively. Mixing is most affected by the injection system parameters. Finally, the optimum DME engine configuration provides 6.9% absolute net indicated efficiency improvement over the baseline engine fueled with DME. This study confirms the potential of DME as a promising fuel for the future generation of compression ignition engines and demonstrates the need to co-optimize the fuel and combustion system. es_ES
dc.description.sponsorship Authors acknowledge that this work was possible thanks to the Ayuda para la Formacion de Profesorado Universitario (FPU 13/02817) belonging to the Subprogramas de Formacion y de Movilidad del Ministerio de Educacion, Cultura y Deporte from Spain. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Fuel es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Dimethyl ether es_ES
dc.subject Alternative fuels es_ES
dc.subject Pollutant emissions es_ES
dc.subject Engine efficiency es_ES
dc.subject Engine optimization es_ES
dc.subject.classification INGENIERIA AEROESPACIAL es_ES
dc.subject.classification MAQUINAS Y MOTORES TERMICOS es_ES
dc.title Computational optimization of the combustion system of a heavy duty direct injection diesel engine operating with dimethyl-ether es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.fuel.2018.01.020 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MECD//FPU13%2F02817/ES/FPU13%2F02817/
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Máquinas y Motores Térmicos - Departament de Màquines i Motors Tèrmics es_ES
dc.description.bibliographicCitation Benajes, J.; Novella Rosa, R.; Pastor Enguídanos, JM.; Hernández-López, A.; Kokjohn, SL. (2018). Computational optimization of the combustion system of a heavy duty direct injection diesel engine operating with dimethyl-ether. Fuel. 218:127-139. https://doi.org/10.1016/j.fuel.2018.01.020 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.fuel.2018.01.020 es_ES
dc.description.upvformatpinicio 127 es_ES
dc.description.upvformatpfin 139 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 218 es_ES
dc.relation.pasarela S\350659 es_ES
dc.contributor.funder Ministerio de Educación es_ES


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