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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
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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
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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 58/171, thus managing to position itself as a Q1 (Primer Cuartil), in the category Energy & Fuels.
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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).