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Analysis of institutional authors

Jadoon U.k.AuthorDiaz I.AuthorRodríguez M.Author

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March 3, 2025
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Comparative analysis of aspen plus simulation strategies for woody biomass air gasification processes

Publicated to:Biomass & Bioenergy. 194 - 2025-01-01 194(), DOI: 10.1016/j.biombioe.2025.107626

Authors: Jadoon UK; Díaz I; Rodríguez M

Affiliations

Departamento de Ingeniería Química Industrial y del Medioambiente; Escuela Técnica Superior de Ingenieros Industriales; Universidad Politécnica de Madrid; C/ José Gutierrez Abascal 2; Madrid; 28006; Spain - Author

Abstract

Biomass gasification is gaining attention because of its role in transition to a low-carbon chemical industry, providing a cleaner alternative to fossil fuels in energy and chemical production. However, accurate modeling remains challenging due to the variability in syngas composition across varying biomass types, gasifiers, and operating conditions. This study evaluates the performance of thermodynamic equilibrium modeling (TEM), restricted thermodynamic modeling (RTM), and kinetic modeling (KM) by Aspen Plus to model a fluidized bubbling-bed reactor. The novelty of the research lies in the comparative evaluation of these models in diverse woody biomasses and gasification conditions, addressing a significant gap in the field. Experimental data was curated and used to assess the predictive precision of each approach, focusing on syngas components such as H2, CO, CO2, and CH4. Moreover, sensitivity analysis was performed within the RTM framework to identify optimal approach temperatures for selected. On the basis of these approach temperatures, syngas predictions were carried out, which are referred to as the optimal solution (OS). RTM demonstrated the highest accuracy, with an average RMSE of 0.0793, while TEM showed the lowest accuracy with RMSE of 0.1735. KM and OS had intermediate precision, with RMSE values of 0.1593 and 0.1282, respectively. These results demonstrate that RTM is the most accurate and OS is a reliable alternative when kinetic data are unavailable. This study offers valuable information on the selection of effective modeling strategies for biomass gasification and the development of technologies based on syngas. © 2025 Elsevier Ltd

Keywords

Air gasificationAlternative energyAspen plusBiomassBiomass air gasificationBiomass gasificationComparative studyFossil fuelGas productionKinetic modelingKinetic modelsOptimal solutionsReaction kineticsRenewable energiesRenewable energySensitivity analysisSyn gasSyngasThermal modelingThermodynamic modelingThermodynamic modellingThermodynamicsWoody biomass

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Biomass & Bioenergy due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2025, it was in position 65/182, thus managing to position itself as a Q1 (Primer Cuartil), in the category Energy & Fuels.

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-25:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 24 (PlumX).

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (KHAN JADOON, USMAN) and Last Author (RODRIGUEZ HERNANDEZ, MANUEL).