2022
DOI: 10.1080/23311916.2022.2115283
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A review of response surface methodology for biogas process optimization

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Cited by 28 publications
(13 citation statements)
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References 61 publications
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“…RMS is a collection of statistical and mathematical techniques useful for developing, improving, and optimizing processes [22]. RMS is preferred because it minimizes the number of experiments for a specific number of factors and their levels [23]. In general, RMS has two main types of designs-the Box-Behnken design (BBD) and the centralcomposite design (CCD).…”
Section: Resultsmentioning
confidence: 99%
“…RMS is a collection of statistical and mathematical techniques useful for developing, improving, and optimizing processes [22]. RMS is preferred because it minimizes the number of experiments for a specific number of factors and their levels [23]. In general, RMS has two main types of designs-the Box-Behnken design (BBD) and the centralcomposite design (CCD).…”
Section: Resultsmentioning
confidence: 99%
“…Besides, a previous study (Song et al, 2014) used a novel cryogenic CO2 capture process based on three levels of the Central Composite Design (CCD) to obtain the desired optimum conditions. The CCD happens to be the most popular design method in RSM (Djimtoingar et al, 2022). Previous efforts to capture the application of the CCD for biogas upgrading were undertaken by (Morero et al, 2017) through a simulation study with three varied absorber-stripper configurations consisting of solvents like water, dimethyl ethers of polyethylene glycol and diglycolamine.…”
Section: Research Articlementioning
confidence: 99%
“…ANOVA analysis was also carried out to test the developed quadratic model validity. From the estimated models, response surfaces were developed using Design-Expert 13 (Stat-Ease Inc., Minneapolis, USA) which is the most widely used softwares (Djimtoingar et al, 2022).…”
Section: Optimization and Process Parametersmentioning
confidence: 99%
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“…9 In order to predict the interactions among the variables, RSM has the distinct benefit of identifying optimal conditions with maximum data and minimal trails. 10,11 After the extensive literature review cited above, it has been found that very few publications are reported in the literature related towards optimization (response surface methodology) of biomass-based producer gas production. Literature studies have reported application of RSM methodology in gasification employing low-grade coal 12 downdraft gasifier, 13 spent pot lining waste materials, 14 and eucalyptus wood sawdust.…”
Section: Introductionmentioning
confidence: 99%