Aspen Plus<sup>®</sup> Modeling and Simulation of an Industrial Biomass Direct Liquefaction Process

The current energy and climate crisis calls for immediate action in replacing fossil fuels with those derived from renewable sources. The Energreen process performs the direct liquefaction of biomass to produce a liquid biofuel for the cement industry and an aqueous solution of added-value compounds...

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Bibliographic Details
Main Authors: Duarte M. Cecílio, J. Ricardo M. Gonçalves, Maria Joana Neiva Correia, Maria Margarida Mateus
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Fuels
Subjects:
Online Access:https://www.mdpi.com/2673-3994/4/2/14
Description
Summary:The current energy and climate crisis calls for immediate action in replacing fossil fuels with those derived from renewable sources. The Energreen process performs the direct liquefaction of biomass to produce a liquid biofuel for the cement industry and an aqueous solution of added-value compounds for further processing. The present work details the development of an Aspen Plus<sup>®</sup> model to simulate this biomass liquefaction process. The proposed model describes the Energreen liquefaction process using simplified reaction kinetics and thermodynamic models. The model was validated using data from a real liquefaction pilot plant with a deviation of 6.4%. The simulation, conducted with several biomass samples of variable compositions, showed that the process is robust enough to deal with different compositions and, due to the substitution of the fossil fuels presently used in the cement plant, it will allow savings of up to USD 102,000 per year to be achieved. Several analyses of the sensitivity of the results to the process variables were performed and it was possible to identify the reactor temperature and the reaction activation energy as the most impactful parameters on the process output. Overall, the results allow us to conclude that the proposed model is a solid framework for the optimization of industrial liquefaction processes.
ISSN:2673-3994