Evidence map›Paper›PMID 34605314›Full record

ArticleScience progress2021

System dynamics kinetic model for predicting biogas production in anaerobic condition: Preliminary assessment.

Abiodun S Momodu, Tofunmi D Adepoju

Open access · diamondAbstract read
In one paragraph

Article in Science progress, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Abiodun S MomoduCentre for Energy Research and Development, 54715Obafemi Awolowo University, Nigeria.ORCID 0000-0002-0480-1345
Tofunmi D AdepojuDepartment of Chemical Engineering, 54715Obafemi Awolowo University, Nigeria.
Obafemi Awolowo University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis preliminary assessment of a grey-box model, was predicated on system dynamics principles and developed using Vensim

objectiveTo describe the process of a developed system dynamics model to predict biogas production under anaerobic conditions.

methodsThis method involves two-stage kinetics of the biogas production process in anaerobic conditions using the first-order and Gompertz functions. The model is depicted in two parts: causal loop diagram and stock-flow diagram. The causal loop diagram describes the anaerobic digestion process a substrate undergoes for the production of biogas, while stock-flow diagram depicts basic building blocks of the dynamic behavior of an anaerobic digestion process. Primary data is from a laboratory-scale experiment of biogas production using vegetal wastes, while the secondary one is from the literature on studies using similar substrates.

resultsPrimary and secondary data are used to validate and stimulate the developed model. The kinetic model shows the substrate being reduced exponentially with increasing time; consumption of substrate and production of methane and carbon dioxide follows exponential growth and decay pattern, with carbon dioxide production starting early compared to methane, and was produced at a rate faster due to the strong and resilient characteristics of fermentative microorganisms. DISCUSSION: Comparing data from empirical and model simulation shows some close relationship, though not too perfectly. Both results reflect signs of inhibitions occurring within the substrates in the digester under anaerobic conditions explaining the low methane yield or instability.

Indexed as

BiofuelsBioreactorsAnaerobiosisCarbon DioxideKineticsMethaneBiofuelsCarbon DioxideMethanebiogasgrowth functionKineticssystem dynamicswaste management

Identifiers

PMID34605314
PMCPMC10450725
OpenAlexW3203802492

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.