Comparing the effect of mesophilic and thermophilic anaerobic co-digestion for sustainable biogas production: An experimental and recurrent neural network model study

Alrowais, Raid; daiem, Mahmoud M. Abdel; Hatata, Ahmed Y.; Alotaibi, Ali; Essa, Mohamed A.; Said, Noha

doi:10.1016/j.jclepro.2023.136248

Cited by 11 publications

(5 citation statements)

References 48 publications

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“…Pretreatment of the straw appeared to increase the biodegradation rates of organic compounds and maximize the consumption of VSs during the anaerobic digestion process, hence improving the process performance and increasing biogas production (Al-Da'asen et al 2022). The TS and VS results confirmed methane production from the different reactors, and the solid reduction percentages were proportional to the methane yields of the reactors (Alrowais et al 2023b).…”

Section: Fig 4 Cumulative Methane Production From Different Reactorsmentioning

confidence: 79%

Effect of alkaline pretreatment on the characteristics of barley straw and modeling of methane production via codigestion of pretreated straw with sewage sludge

Alrowais,

Abdel daiem,

Helmi

et al. 2024

BioRes

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Straw pretreatment enhances the cellulose accessibility and increases the methane yield from anaerobic digestion. This study investigated the effects of alkali pretreatments with different chemical agents (NaOH, KOH, and Na2CO3) on the physicochemical and thermal characteristics of barley straw, as well as methane production from codigestion with sewage sludge. Artificial neural network modeling with a feedforward neural network (FFNN) and slime mold optimization (SMO) techniques were used to predict methane production. NaOH pretreatment was shown to be the best pretreatment for removing hemicellulose and lignin and for increasing the cellulose accessibility. Moreover, there was a 2.57-fold higher level of methane production compared to that from codigestion with untreated straw. The removal ratios for the total solids, volatile solids, and chemical oxygen demand reached 59.3, 67.2, and 73.4%, respectively. The modeling results showed that the FFNN-SMO method can be an effective tool for simulating the methane generation process, since training, validating, and testing produced very high correlation coefficients. The FFNN-SMO accurately predicted the amount of methane produced, with an R2 of 0.998 and a 3.1×10-5 root mean square error (RMSE).

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Section: Fig 4 Cumulative Methane Production From Different Reactorsmentioning

confidence: 79%

Effect of alkaline pretreatment on the characteristics of barley straw and modeling of methane production via codigestion of pretreated straw with sewage sludge

Alrowais,

Abdel daiem,

Helmi

et al. 2024

BioRes

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show abstract

“…The aim of this study was to assess the methane production potential of already digested PW from a large‐scale digestion plant and whether another AD process would be useful for more efficient exploitation of PW when substrate loads are high during the touristic high season (winter season 2017/2018). A mesophilic approach was included because biogas production potentials of PW are usually much lower than those of the respective substrate prior to AD, and thermophilic reactors require approximately twice as much energy input than mesophilic ones (Alrowais et al, 2023 ). In this regard, less energy input for heating and a better exploitation of the residual heat of the incoming PW (in future applications) were thought to be beneficial for an economic, anaerobic posttreatment process.…”

Section: Discussionmentioning

confidence: 99%

Meso‐ and thermophilic posttreatment of press water coming from a thermophilic municipal solid waste digester

Prem,

Markt,

Wunderer

et al. 2023

Biotech & Bioengineering

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An efficient biogas production out of organic (waste) materials is important to contribute to a carbon‐neutral future. In this study, thermophilic press water (PW) coming from an organic fraction of the municipal solid waste digester was further digested in a thermo‐ and mesophilic posttreatment approach using two semicontinuous 14 L digesters. The results showed that the PW can still have considerable high biogas potential—at least during the touristic high season in central Europe. The change in temperature led to an increase in volatile fatty acid concentrations and a decrease in biogas production in the mesophilic approach in the first days. However, the losses in biogas production at the beginning could be compensated thus there were no considerable differences in biogas production between thermo‐ and mesophilic posttreatment at the end of incubation. This can most probably be contributed to a change in the microbial community, and potentially problematic intermediates like valerate could be better degraded in the mesophilic reactor. Especially the abundance of representatives of the phylum Bacteroidota, like Fermentimonas spp., increased during mesophilic anaerobic digestion.

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“…Another undertaking of Tan et al is to find a brain network model that can be sent on cell phones, which can effectively execute in different perspectives, for example, precision, derivation time, and number of boundaries [2].…”

Section: Search Spacementioning

confidence: 99%

Necessary neural architecture search in deep learning escalation

2024

ACE

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Since contemporary information-retrieval systems rely heavily on the content of titles and abstracts to identify relevant articles in literature searches, great care should be taken in constructing both. Since the AI hypothesis was proposed during the twentieth 100 years, With the development of related research and the persistent improvement of PC figuring power, AI has become increasingly more generally utilized. The brain structure search procedure can look through the brain network structure reasonably for a particular errand in an enormous arrangement of competitor organizations since brain engineering search is supposed to accelerate the method involved with finding brain network designs that will create great models for explicit datasets. taken in the paper has summed up certain discovery courses to make sense of the information on profound learning, comprehended presented the brain design search in the advancement of profound learning through writing research, and acquired a few accomplishments toward it. Results show that cell-based search space is additionally effectively utilized by numerous new works. The study will give clues to important examination of profound learning.

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Comparing the effect of mesophilic and thermophilic anaerobic co-digestion for sustainable biogas production: An experimental and recurrent neural network model study

Cited by 11 publications

References 48 publications

Effect of alkaline pretreatment on the characteristics of barley straw and modeling of methane production via codigestion of pretreated straw with sewage sludge

Effect of alkaline pretreatment on the characteristics of barley straw and modeling of methane production via codigestion of pretreated straw with sewage sludge

Meso‐ and thermophilic posttreatment of press water coming from a thermophilic municipal solid waste digester

Necessary neural architecture search in deep learning escalation

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