• Login
    View Item 
    •   Home
    • Research
    • Articles
    • View Item
    •   Home
    • Research
    • Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguideTheses and Dissertations LibguideSubmit an Item

    Statistics

    Display statistics

    Accurate thermochemistry prediction of extensive Polycyclic aromatic hydrocarbons (PAHs) and relevant radicals

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Type
    Article
    Authors
    Li, Yang
    Wang, Tairan cc
    Yalamanchi, Kiran K.
    Kukkadapu, Goutham cc
    Sarathy, Mani cc
    KAUST Department
    Clean Combustion Research Center
    Chemical Engineering Program
    Physical Science and Engineering (PSE) Division
    KAUST Grant Number
    OSR-2019-CRG7-4077
    Date
    2022-04-26
    Permanent link to this record
    http://hdl.handle.net/10754/676599
    
    Metadata
    Show full item record
    Abstract
    Polycyclic aromatic hydrocarbons (PAHs) are important intermediates to soot formation in combustion. A reliable database of their thermochemistry is required for the development of chemical kinetic models describing the gas-phase chemistry of hydrocarbon fuels. In this study, temperature-dependent thermodynamic properties are consistently determined using high-accuracy quantum chemistry calculations for an extensive set of PAH compounds. The developed database comprehensively consists of 125 C6-C18 PAH molecules and radicals, which are important and commonly included in chemical mechanisms studies. At the M06-2X/6-311++G(d,p) level of theory, geometry optimizations, vibrational frequency calculations, and dihedral angle scans are performed for all PAH species. The G3 method, together with the atomization reaction approach, is selected to derive the average atomization formation enthalpy. This method produces the most accurate thermochemistry quantities for PAHs, as demonstrated in a previous study. The entropy and heat capacity values are calculated using statistical thermodynamics in MultiWell. These results exhibit good agreement with the databases in literature. To examine the application of the group additivity (GA) method for PAHs, the Bland−Altman plot, a statistical analysis approach, is employed to visualize the agreement between the results from the quantum chemical calculations and GA methods. Two GA methods are examined and significant differences are found, which indicates that GA values of relevant groups need to be further updated. The database of thermodynamic quantities developed in this study are of particular value in modeling studies and important for exploring mechanisms of the PAH growth.
    Citation
    Li, Y., Wang, T., Yalamanchi, K. K., Kukkadapu, G., & Sarathy, S. M. (2022). Accurate thermochemistry prediction of extensive Polycyclic aromatic hydrocarbons (PAHs) and relevant radicals. Combustion and Flame, 242, 112159. https://doi.org/10.1016/j.combustflame.2022.112159
    Sponsors
    Funded by the following Research Grants: (1) The KAUST, Saudi Arabia Office of Sponsored Research (Grant OSR-2019-CRG7-4077); (2) Startup Funds of Aoxiang Overseas Scholar (0602021GH0201182) at Northwestern Polytechnical University; (3) The U.S. DOE Partnership to Advance Combustion Engines (PACE) Initiative with Gurpreet Singh and Michael Weismiller as program managers, under contract No. DE-AC52-07NA27344 at Lawrence Livermore National Laboratory (LLNL).
    Publisher
    Elsevier BV
    Journal
    Combustion and Flame
    DOI
    10.1016/j.combustflame.2022.112159
    Additional Links
    https://linkinghub.elsevier.com/retrieve/pii/S0010218022001754
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.combustflame.2022.112159
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Chemical Engineering Program; Clean Combustion Research Center

    entitlement

     
    DSpace software copyright © 2002-2022  DuraSpace
    Quick Guide | Contact Us | KAUST University Library
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.