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Simulation of integrated anaerobic digestion-gasification systems using machine learning models

descriptionPublicationkeyboard_double_arrow_right Article 01 Feb 2023Publisher:Elsevier BVJournal:Bioresource Technology, volume 369, page 128,420 (issn: 0960-8524,

Authors: Yadong, Ge; Junyu, Tao; Zhi, Wang; Chao, Chen; Rui, Liang; Lan, Mu; Haihua, Ruan; +3 Authors

doi: 10.1016/j.biortech.2022.128420

pmid: 36462766

Simulation of integrated anaerobic digestion-gasification systems using machine learning models

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Abstract

In this study, the anaerobic digestion model M-ADM1 was integrated with the gasification model T-ANN to form a set of integrated models that can efficiently simulate the biomass AD-GS integration technology. Biogas slurry is used as feedstocks to prepare biogas slurry fertilizer. Solid residue is used feedstocks for gasification reactions. Biogas and syngas from the gasification of solid residue are used for energy. In this process, carbon emission is regarded as an important index for the comprehensive evaluation and optimization of AD-GS integration process. This study found that when the anaerobic digestion duration was 0 to 15 days, the carbon emission reduction increased rapidly. The amount of carbon emission reduction peaks on day 15. The value of carbon emission reduction is 0.1828 gCO2eq. In addition, when FEAG reached the maximum value at 15 days of anaerobic digestion, the decreasing trend of FEAG rate change value started to become significant.

Related Organizations

Tianjin University
China (People's Republic of)
Tianjin University of Commerce
China (People's Republic of)
Instituto Nacional de Ciencias Agrícolas
Cuba
Instituto Nacional de Ciencias Agrícolas
Cuba
Tibet University
China (People's Republic of)

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Keywords

Biofuels, Anaerobiosis, Biomass, Methane

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