<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>8(12)</volume><submitter>Bechara R</submitter><pubmed_abstract>Anaerobic digestion is a sustainable organic waste treatment technique with energy recovery via biogas generation. This work presents a novel Aspen Plus ADM1-based flowsheet for this process. Three reactor segments were chosen: stoichiometric for the hydrolysis step, kinetic for acido-aceto-methanogenesis, and equilibrium for hydrogenotrophic methane production. Selected parameters- conversion ratios, kinetic pre-exponent and inhibitor factors- were controlled to best fit model and experimental results. The parity plot fitting had an R&lt;sup>2&lt;/sup> = 0.999, a slope of 1.0058 and an intercept of -0.8651. Obtained parameter values stressed the importance of inhibitions, and simulation results showcased the bell-shaped curve for acetic and volatile fatty acid reduction. The model was used for a subsequent sensitivity analysis as well as an optimization runs, leading to a 50% higher methane production ratio. The proposed model presents itself as a significant contribution for optimal anaerobic digestion process design.</pubmed_abstract><journal>Heliyon</journal><pagination>e11793</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9712131</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Improvements to the ADM1 based Process Simulation Model: Reaction segregation, parameter estimation and process optimization.</pubmed_title><pmcid>PMC9712131</pmcid><pubmed_authors>Bechara R</pubmed_authors></additional><is_claimable>false</is_claimable><name>Improvements to the ADM1 based Process Simulation Model: Reaction segregation, parameter estimation and process optimization.</name><description>Anaerobic digestion is a sustainable organic waste treatment technique with energy recovery via biogas generation. This work presents a novel Aspen Plus ADM1-based flowsheet for this process. Three reactor segments were chosen: stoichiometric for the hydrolysis step, kinetic for acido-aceto-methanogenesis, and equilibrium for hydrogenotrophic methane production. Selected parameters- conversion ratios, kinetic pre-exponent and inhibitor factors- were controlled to best fit model and experimental results. The parity plot fitting had an R&lt;sup>2&lt;/sup> = 0.999, a slope of 1.0058 and an intercept of -0.8651. Obtained parameter values stressed the importance of inhibitions, and simulation results showcased the bell-shaped curve for acetic and volatile fatty acid reduction. The model was used for a subsequent sensitivity analysis as well as an optimization runs, leading to a 50% higher methane production ratio. The proposed model presents itself as a significant contribution for optimal anaerobic digestion process design.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Dec</publication><modification>2025-04-04T23:44:55.762Z</modification><creation>2025-04-04T23:44:55.762Z</creation></dates><accession>S-EPMC9712131</accession><cross_references><pubmed>36466570</pubmed><doi>10.1016/j.heliyon.2022.e11793</doi></cross_references></HashMap>