Prediction of CO2 absorption by nanofluids using artificial neural network modeling

Sodeifian, Gholamhossein; Niazi, Zahra

doi:10.1016/j.icheatmasstransfer.2021.105193

Cited by 27 publications

(18 citation statements)

References 26 publications

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“…This choice of the input parameters is based on the findings of prior investigations in the field of CO 2 absorption by nanofluids. 7,16…”

Section: Establishment Of the Correlations Data Gatheringmentioning

confidence: 99%

“…The rise in the amount of produced CO 2 is caused by human activities, principally the industrial applications of fossil fuels 5 . Due to this fact, the last decades have witnessed great attention being put into techniques allowing the removal or the reduction in the amounts of CO 2 in different industrial processes dealing with this gas, such as the production systems of natural gas 6,7 . In this context, many techniques such as chemical and physical absorption, the use of metal organic frameworks (MOFs) and membrane, the utilization of amine‐based biphasic solvents and carbonic anhydrase (CA) enzyme improved with enzyme immobilization, and desorption have been proposed 7–12 .…”

Section: Introductionmentioning

confidence: 99%

“…5 Due to this fact, the last decades have witnessed great attention being put into techniques allowing the removal or the reduction in the amounts of CO 2 in different industrial processes dealing with this gas, such as the production systems of natural gas. 6,7 In this context, many techniques such as chemical and physical absorption, the use of metal organic frameworks (MOFs) and membrane, the utilization of amine-based biphasic solvents and carbonic anhydrase (CA) enzyme improved with enzyme immobilization, and desorption have been proposed. [7][8][9][10][11][12] While some techniques such as desorption are known for their shortcoming regarding energy requirements, 7,13 absorption is the more attractive and widespread method for mitigating the concentrations of CO 2 in many industrial processes.…”

mentioning

confidence: 99%

“…6,7 In this context, many techniques such as chemical and physical absorption, the use of metal organic frameworks (MOFs) and membrane, the utilization of amine-based biphasic solvents and carbonic anhydrase (CA) enzyme improved with enzyme immobilization, and desorption have been proposed. [7][8][9][10][11][12] While some techniques such as desorption are known for their shortcoming regarding energy requirements, 7,13 absorption is the more attractive and widespread method for mitigating the concentrations of CO 2 in many industrial processes. 5 Utilization of nanofluids as the solvents for the capture of CO 2 is among the ways that have shown noticeable effectiveness in CO 2 absorption.…”

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confidence: 99%

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Toward robust models for predicting carbon dioxide absorption by nanofluids

et al. 2022

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The application of nanofluids has received increased attention across a number of disciplines in recent years. Carbon dioxide (CO2) absorption by using nanofluids as the solvents for the capture of CO2 is among the attractive applications, which have recently gained high popularity in various industrial aspects. In this work, two robust explicit‐based machine learning (ML) methods, namely group method of data handling (GMDH) and genetic programming (GP) were implemented for establishing accurate correlations that can estimate the absorption of CO2 by nanofluids. The correlations were developed using a comprehensive database that involved 230 experimental measurements. The obtained results revealed that the proposed ML‐based correlations can predict the absorption of CO2 by nanofluids with high accuracy. Besides, it was found that the GP‐based correlation yielded more precise predictions compared to the GMDH‐based correlation. The GP‐based correlation has an overall coefficient of determination of 0.9914 and an overall average absolute relative deviation of 3.732%. Lastly, the carried‐out trend analysis confirmed the compatibility of the proposed GP‐based correlation with the real physical tendency of CO2 absorption by nanofluids. © 2022 Society of Chemical Industry and John Wiley & Sons, Ltd.

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“…This choice of the input parameters is based on the findings of prior investigations in the field of CO 2 absorption by nanofluids. 7,16…”

Section: Establishment Of the Correlations Data Gatheringmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Toward robust models for predicting carbon dioxide absorption by nanofluids

et al. 2022

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“…Therefore, it is a good material for reducing incondensable tar [15]. In another study, for reducing CO2 from thermochemical conversions such as gasification, nanofluids were proposed for absorbing CO2 along with tar removal [16]. Also, for enhanced heat transfer in mixed convection like gasification, a nanofluid could be an optimal option [17,18].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of a Continuous Downdraft Gasification Reactor Driven by Electric Motors with Manual Mode of Operation

Setiawan

Hidayat

Dafiqurrohman

et al. 2022

J. Eng. Technol. Sci.

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Gasification is considered a promising option for harnessing energy potential from agricultural waste, such as rice husks. This paper presents a 10-kW rice husk fixed bed gasifier system. This system is an improved version of a prototype previously developed by our research group. Some of the optimized features added to the gasifier include the use of a circular air intake, an improved gas cleaning system, and electric motors that are regulated by a programmable logic controller. Keeping the gasifier system’s operation stable is critical for producing high-quality synthetic gas (syngas). Therefore, performance evaluation of the presented gasifier system was conducted, and the resulting syngas outputs were analyzed. The evaluation also included an investigation into the performance of the motors, particularly those used for feeding and char removal, which are critical components of the system. The results showed that the improved gasifier system was stable with a proper feedstock. A discussion of the parameters affecting the composition of the synthetic gas is also presented.

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Solubility, Extraction, and Nanoparticles Production in Supercritical Carbon Dioxide: A Mini‐Review

Sodeifian

Usefi

2022

ChemBioEng Reviews

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Supercritical carbon dioxide (SC‐CO2) is CO2 that is stored beyond its critical point of 7.4 MPa and 31.1 °C. Given the request for consumption of a green solvent for the environment, SC‐CO2 is widely utilized in chemical, food, and pharmaceutical industries. To design material and drug production processes using supercritical fluid (SCF) technology, knowledge of their solubility is important. Temperature and pressure are the main factors in the study of solubility. Solubility data are then evaluated using equation of state, semi‐empirical, and intelligence models to establish suitable correlations. SC‐CO2 is one of the most important materials used in SCFs to study solubility. Another application of SC‐CO2 is in the field of material extraction to reduce the consumption of organic solvents. Nanoparticles production in drug industry is another advantage of SC‐CO2. Micro and nanoparticles can be produced using SCF techniques. In this review, the applications of SC‐CO2 in drug solubility, extraction of valuable materials, and nanoparticles production for pharmaceutical processes are reported and discussed. Finally, the main challenges are explained.

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Prediction of CO2 absorption by nanofluids using artificial neural network modeling

Cited by 27 publications

References 26 publications

Toward robust models for predicting carbon dioxide absorption by nanofluids

Toward robust models for predicting carbon dioxide absorption by nanofluids

Performance Evaluation of a Continuous Downdraft Gasification Reactor Driven by Electric Motors with Manual Mode of Operation

Solubility, Extraction, and Nanoparticles Production in Supercritical Carbon Dioxide: A Mini‐Review

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