Zhang, J. and Zhang, Y. orcid.org/0000-0002-9736-5043 (2019) Reduced mechanism generation for methanol-based toluene reference fuel with combined reduction methods. Fuel, 247. pp. 135-147. ISSN 0016-2361
Abstract
TRF is a very competitive substitute fuel of gasoline, and methanol as a high octane oxygenated fuel has been attracted widely attention. In this study, a new reduced mechanism for methanol-based toluene reference fuel was developed based on the sensitivity analysis (SA), and reaction pathways analysis methods. At first, reduced mechanisms of methanol (including 24 species and 57 elementary reaction) and TRF (including 98 species and 264 elementary reaction) were developed and vilified separately. Then, coupling methanol and TRF reduced mechanisms that have been validated in above section, a new reduced of mechanism for methanol blending with TRF fuel was proposed that including 100 species and 290 elementary reactions. Extensive validations were performed by comparing experimental data of shock tube ignition delay times, flow reactor species profiles, pressure profiles with simulation results. High accuracy is demonstrated in wide ranges of temperature (T = 300–2500 K) and equivalence ratio (Φ = 0.375–2), which indicates that the present methanol blending with TRF fuel reduced mechanism can well predict the experimental data.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Elsevier. This is an author produced version of a paper subsequently published in Fuel. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Methanol; Toluene reference fuel; Mechanism reduction; Sensitivity analysis; Reaction pathways analysis method |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 09 Apr 2019 11:26 |
Last Modified: | 11 Mar 2020 01:38 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.fuel.2019.03.028 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:144646 |