Process modeling and evaluation of optimal operating conditions for production of hydrogen-rich syngas from air gasification of rice husks using aspen plus and response surface methodology

Kombe, Emmanuel Yeri; Lang'at, Nickson; Njogu, Paul; Malessa, Reiner; Weber, Christian‐Toralf; Njoka, Francis; Krause, Ulrich

doi:10.1016/j.biortech.2022.127734

Cited by 43 publications

(13 citation statements)

References 44 publications

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“…According to the second-order quadratic equation shown in Eq. (4) , the response variable interaction was established [ 30 ].

where y denotes the output response, x denotes the decision parameter,

denotes the coefficient, n denotes the total sum of the variables, and

is the statistical error.…”

Section: Methodsmentioning

confidence: 99%

“…These variables were determined using Eq. (5) [ 30 ]:

Where

and

are determined using Eqs. (6) , (7) ).…”

Section: Methodsmentioning

confidence: 99%

“…The values of

and

were between 0 and 100%. A value of more than 90% means the model is accurate [ 30 , 32 ]. Further evidence for a good model is provided by the less than 0.2 difference between

and

[ 32 ].…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Microwave-assisted pyrolysis of pine sawdust: Process modelling, performance optimization and economic evaluation for bioenergy recovery

Makepa

Chihobo

Ruziwa

et al. 2023

Heliyon

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“…According to the second-order quadratic equation shown in Eq. (4) , the response variable interaction was established [ 30 ].

where y denotes the output response, x denotes the decision parameter,

denotes the coefficient, n denotes the total sum of the variables, and

is the statistical error.…”

Section: Methodsmentioning

confidence: 99%

“…These variables were determined using Eq. (5) [ 30 ]:

Where

and

are determined using Eqs. (6) , (7) ).…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Microwave-assisted pyrolysis of pine sawdust: Process modelling, performance optimization and economic evaluation for bioenergy recovery

Makepa

Chihobo

Ruziwa

et al. 2023

Heliyon

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“…Heat transfer from the combustion to the solid maintains the evolution of flammable vapors. Charcoal phase or solid phase, when the output of flammable gases from the material is too low for persistent presence of flame and the charred fuel does not burn rapidly and just glows and later only smolders [6].…”

Section: Combustion Phasesmentioning

confidence: 99%

Experimental Investigations of the Effects of Secondary Air Injection on Gaseous Emission Profiles (NOx, NO, NO2, CO) and Hydrocarbons (CxHx) in Cookstoves Using Charcoal from Eucalyptus glandis

Njogu¹,

Muthoni²,

Oketch³

et al. 2023

SGRE

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Use of biomass in domestic cookstoves leads to the release of oxides of nitrogen (NO x ), nitric oxide (NO), nitrogen dioxide (NO 2 ), carbon monoxide (CO) and hydrocarbons C x H x that can be detrimental to health of the public and the environment. Attainment of complete combustion is the best strategy for mitigating the release of these emissions. This study sought to experimentally determine the effects of secondary air injection on the emission profiles of NO x (NO & NO 2 ), CO and C x H x in a charcoal operated cookstove. Charcoal from Eucalyptus glandis was bought from Kakuzi PLC.

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“…The Aspen Custom Modeler belongs to the Aspen software package and is a commonly used solution for integrating user-generated models [24,25]. Additional integration methods in the literature use Aspen technology products, such as FORTRAN or MATLAB [26].…”

Section: State Of the Art: Membrane Models In Process Simulatorsmentioning

confidence: 99%

Design of a Gas Permeation and Pervaporation Membrane Model for an Open Source Process Simulation Tool

et al. 2022

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Gas permeation and pervaporation are technologies that emerged several decades ago. Even though they have discovered increasing popularity for industrial separation processes, they are not represented equally within process simulation tools except for commercial systems. The availability of such a numerical solution shall be extended due to the design of a membrane model with Visual Basic based on the solution-diffusion model. Although this works approach is presented for a specific process simulator application, the algorithm can generally be transferred to any other programming language and process simulation solver, which allows custom implementations or modeling. Furthermore, the modular design of the model enables its further development by operators through the integration of physical effects. A comparison with experimental data of gas permeation and pervaporation applications as well as other published simulation data delivers either good accordance with the results or negligible deviations of less than 1% from other data.

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Process modeling and evaluation of optimal operating conditions for production of hydrogen-rich syngas from air gasification of rice husks using aspen plus and response surface methodology

Cited by 43 publications

References 44 publications

Microwave-assisted pyrolysis of pine sawdust: Process modelling, performance optimization and economic evaluation for bioenergy recovery

Microwave-assisted pyrolysis of pine sawdust: Process modelling, performance optimization and economic evaluation for bioenergy recovery

Experimental Investigations of the Effects of Secondary Air Injection on Gaseous Emission Profiles (NO<sub>x</sub>, NO, NO<sub>2</sub>, CO) and Hydrocarbons (C<sub>x</sub>H<sub>x</sub>) in Cookstoves Using Charcoal from <i>Eucalyptus glandis</i>

Design of a Gas Permeation and Pervaporation Membrane Model for an Open Source Process Simulation Tool

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