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Effect of the composition of biomass on the quality of syngas produced from thermochemical conversion based on thermochemical data prediction
China Rural Technology Development Center, Beijing, China.
Department of Pharmaceutical Engineering, China Pharmaceutical University, Nanjing, Jiangsu, China.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.ORCID iD: 0000-0002-4893-0886
Ministry of Education Key Laboratory of Resource Chemistry, Shanghai Key Laboratory of Rare Earth Functional Materials, Department of Chemistry and Chemical Engineering, Shanghai Normal University, Shanghai, China .
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2019 (English)In: Energy & Fuels, ISSN 0887-0624, E-ISSN 1520-5029, Vol. 33, no 6, p. 5253-5262Article in journal (Refereed) Published
Abstract [en]

Syngas produced from thermochemical conversion of biomass has been given more attention because it can be converted to a variety of fuels and chemicals as substitutes for petroleum-based chemicals via the Fischer–Tropsch process. In this study, one wheat straw and its element content fluctuation in the feasible range are selected as samples first to study the effect of the biomass composition on the quality of syngas produced. Then, the thermochemical data (standard molar enthalpy of formation, standard molar entropy, and heat capacity) of samples are predicted by highly accurate prediction models. Thermochemical conversions of the samples are simulated by the Gibbs energy minimization method based on the results of thermochemical data prediction. At last, the effect of the biomass composition on the resource index (amounts of CO and H2 and ratio of H2/CO) and energy index (lower heat value) of syngas is calculated and analyzed. This study provides a method to obtain the relationship between the composition of biomass and the quality of syngas produced.

Place, publisher, year, edition, pages
American Chemical Society (ACS), 2019. Vol. 33, no 6, p. 5253-5262
National Category
Tribology (Interacting Surfaces including Friction, Lubrication and Wear)
Research subject
Machine Elements
Identifiers
URN: urn:nbn:se:ltu:diva-75269DOI: 10.1021/acs.energyfuels.9b00106ISI: 000472800900054Scopus ID: 2-s2.0-85067958903OAI: oai:DiVA.org:ltu-75269DiVA, id: diva2:1336556
Note

Validerad;2019;Nivå 2;2019-07-09 (johcin)

Available from: 2019-07-09 Created: 2019-07-09 Last updated: 2022-10-27Bibliographically approved

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Mu, Liwen

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