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dc.contributor.authorZhang, Xiaoyuan
dc.contributor.authorSarathy, Mani
dc.date.accessioned2020-10-28T13:16:56Z
dc.date.available2020-10-28T13:16:56Z
dc.date.issued2020-10-15
dc.date.submitted2020-08-05
dc.identifier.citationZhang, X., & Mani Sarathy, S. (2021). A lumped kinetic model for high-temperature pyrolysis and combustion of 50 surrogate fuel components and their mixtures. Fuel, 286, 119361. doi:10.1016/j.fuel.2020.119361
dc.identifier.issn0016-2361
dc.identifier.doi10.1016/j.fuel.2020.119361
dc.identifier.urihttp://hdl.handle.net/10754/665693
dc.description.abstractWide distillation fuels (WDF) and gasoline/diesel blends have been proposed as new fuel formulations for advanced combustion engines. Recent studies have shown that multi-component gasoline and diesel surrogate mixtures can accurately mimic the distillation curve, functional group or hydrocarbon class distribution, average molecular weight, and other combustion properties of real fuels. This work presents an updated decoupling methodology to construct a 50-component fuel model, which consists of a skeletal sub-mechanism for large hydrocarbon components present in gasoline, jet and diesel fuels, a reduced C5-Cn mechanism, and a detailed C0-C4 mechanism. The entire model contains 156 species and 1132 reactions. The chemical classes covered include n-alkanes, iso-alkanes, cyclo-alkanes and alkylbenzenes. Compared with the comprehensive detailed kinetic modeling approach, the present methodology largely reduces the model size due to the use of skeletal fuel mechanisms. Compared with the traditional decoupling methodology, our approach increases the model accuracy since it contains a detailed C0-C4 mechanism instead of a reduced C2-C3 mechanism. The present model was validated against experimental targets at high temperatures, including the pyrolysis and oxidation speciation data and global parameters such as ignition delay times and laminar flame speeds from 30 pure fuel components and 12 fuel mixtures. In general, the present model performs well against these experimental data, suggesting this methodology is a suitable approach for developing accurate kinetic models for multi-component fuels. Future work will extend the present framework to predict low-temperature combustion chemistry of multi-component fuels.
dc.description.sponsorshipThis work was supported by King Abdullah University of Science and Technology (KAUST) with funds allocated to the Clean Combustion Research Center. We gratefully acknowledge contributions from the KAUST Clean Fuels Consortium (KCFC), and its member companies.
dc.publisherElsevier BV
dc.relation.urlhttps://linkinghub.elsevier.com/retrieve/pii/S0016236120323577
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Fuel. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Fuel, [286, , (2020-10-15)] DOI: 10.1016/j.fuel.2020.119361 . © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleA lumped kinetic model for high-temperature pyrolysis and combustion of 50 surrogate fuel components and their mixtures
dc.typeArticle
dc.contributor.departmentChemical Engineering Program
dc.contributor.departmentClean Combustion Research Center
dc.contributor.departmentCombustion and Pyrolysis Chemistry (CPC) Group
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalFuel
dc.rights.embargodate2022-10-15
dc.eprint.versionPost-print
dc.identifier.volume286
dc.identifier.pages119361
kaust.personZhang, Xiaoyuan
kaust.personSarathy, Mani
dc.date.accepted2020-09-27
dc.identifier.eid2-s2.0-85092709307
refterms.dateFOA2020-10-29T05:49:57Z
kaust.acknowledged.supportUnitClean Combustion Research Center
dc.date.published-online2020-10-15
dc.date.published-print2021-02


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