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    <subfield code="a">10.1021/acs.energyfuels.4c00942</subfield>
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    <subfield code="2">sideral</subfield>
    <subfield code="a">139004</subfield>
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    <subfield code="a">ART-2024-139004</subfield>
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    <subfield code="a">eng</subfield>
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  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">Maziarka, Przemyslaw</subfield>
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  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Part 2 - Tailoring of pylolytic char properties with a single particle CFD model with a focus on the impact of shrinking, vapor cracking, and char permeability</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2024</subfield>
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  <datafield tag="506" ind1="0" ind2=" ">
    <subfield code="a">Access copy available to the general public</subfield>
    <subfield code="f">Unrestricted</subfield>
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    <subfield code="a">The prediction of the structural properties of biobased carbonaceous materials of pyrolytic origin (chars) with only base feedstock properties and process conditions still poses a challenge that hinders char tailoring for novel applications. CFD modeling of single biomass particle conversion can help solve this issue since it allows for the quantification of relations between parameters that are difficult to measure. A model for char tailoring must include a validated representation of the structural changes coupled to all other relevant phenomena occurring during conversion. Part 2 of this study focuses on finding the description of the mentioned aspects to achieve the highest precision of prediction of the structural changes in char by a CFD model. The investigation in Part 2 is composed of three cases focused on accurate description and prediction of (1) bulk density and porosity, (2) secondary vapor reactions on yields and soot formation, and (3) permeability, as well as the outflux and conversion of evolved vapors. The experimental results from Part 1 and the literature data were used to find appropriate descriptions of phenomena and assess the accuracy of the model. The model results indicate that for both particle lengths (10 and 16 mm), a high accuracy of prediction of base structural parameters was achieved. The average prediction error for temperatures between 400 and 840 °C of bulk density was 31 ± 15 kg/m3, and the porosity was 1.8 ± 1.1 vol %. The results also show a low error in the prediction of bulk product yields (dry basis) over the mentioned temperature range, which were: for char 2.8 ± 1.1 wt %, for the condensable fraction 6.5 ± 3.3 wt %, and for the pyrolysis gas 4.1 ± 1.9 wt %. The distribution of secondary char formation was found to be nonuniform below 500 °C. The changes in permeability had a minor influence on the vapor outflux but a non-negligible effect on the soot formation, especially at 840 °C. The results indicate a need for further improvement of the primary degradation model to increase the accuracy of the effect of soot formation on the char structure.</subfield>
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    <subfield code="9">info:eu-repo/grantAgreement/EC/H2020/721991/EU/Advanced Carbon Materials from Biowaste: Sustainable Pathways to Drive Innovative Green Technologies/ GreenCarbon</subfield>
    <subfield code="9">This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 721991- GreenCarbon</subfield>
    <subfield code="9">info:eu-repo/grantAgreement/EC/H2020/731101/EU/ Biofuels Research Infrastructure for Sharing Knowledge II/BRISK II</subfield>
    <subfield code="9">This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 731101-BRISK II</subfield>
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    <subfield code="9">info:eu-repo/semantics/openAccess</subfield>
    <subfield code="a">All rights reserved</subfield>
    <subfield code="u">http://www.europeana.eu/rights/rr-f/</subfield>
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    <subfield code="a">5.3</subfield>
    <subfield code="b">2024</subfield>
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    <subfield code="a">ENGINEERING, CHEMICAL</subfield>
    <subfield code="b">42 / 176 = 0.239</subfield>
    <subfield code="c">2024</subfield>
    <subfield code="d">Q1</subfield>
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    <subfield code="a">ENERGY &amp; FUELS</subfield>
    <subfield code="b">75 / 182 = 0.412</subfield>
    <subfield code="c">2024</subfield>
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    <subfield code="c">2024</subfield>
    <subfield code="d">Q1</subfield>
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    <subfield code="a">Fuel Technology</subfield>
    <subfield code="c">2024</subfield>
    <subfield code="d">Q1</subfield>
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    <subfield code="a">Energy Engineering and Power Technology</subfield>
    <subfield code="c">2024</subfield>
    <subfield code="d">Q1</subfield>
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    <subfield code="b">2024</subfield>
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  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Kienz, Norbert</subfield>
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    <subfield code="a">Dieguez-Alonso, Alba</subfield>
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  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Prins, Wolter</subfield>
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  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Arauzo, Pablo J.</subfield>
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    <subfield code="a">Skreiberg, Øyvind</subfield>
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    <subfield code="a">Anca-Couce, Andrés</subfield>
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  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="0">(orcid)0000-0002-0118-3254</subfield>
    <subfield code="a">Manyà, Joan J.</subfield>
    <subfield code="u">Universidad de Zaragoza</subfield>
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  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Ronsse, Frederik</subfield>
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    <subfield code="1">5005</subfield>
    <subfield code="2">555</subfield>
    <subfield code="a">Universidad de Zaragoza</subfield>
    <subfield code="b">Dpto. Ing.Quím.Tecnol.Med.Amb.</subfield>
    <subfield code="c">Área Ingeniería Química</subfield>
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  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="g">38, 11 (2024), 9772–9793</subfield>
    <subfield code="p">Energy fuels</subfield>
    <subfield code="t">Energy and Fuels</subfield>
    <subfield code="x">0887-0624</subfield>
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