Prediction of CO2 capture capability of 0.5 MW MEA demo plant using three different deep learning pipelines

Oh, Donghoon; Vo, Nguyen D.; Lee, Jae-Cheol; You, Jong Kyun; Lee, Doyeon; Lee, Chang Ha

doi:10.1016/j.fuel.2022.123229

Cited by 13 publications

(2 citation statements)

References 41 publications

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“…Larson et al [25] investigated a hydrogen generation unit for a thermal power plant and a combined power plant with carbon absorption based on chemical absorption. Lee et al [26] investigated the carbon sequestration model in parametric research by identifying key process variables. Analyzing the solvent composition reveals that the ratio between MDEA and PZ is a crucial design parameter for carbon adsorption efficiency and process energy demand.…”

Section: Literature Reviewmentioning

confidence: 99%

Simulation model of carbon capture with MEA and the effect of temperature and duty on efficiency

Majnoon,

Hajinezhad,

Moosavian

2024

fuen

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Humans continue to rely on fossil fuels to generate electricity. In other words, fossil fuels are the world's largest energy producers. Fossil fuels produce significant carbon dioxide, mostly in areas where humans live. Although the share of carbon dioxide produced in big cities is minimal compared to the carbon dioxide production of volcanoes, the production of carbon dioxide in big cities has destructive effects. Process Simulator is utilized to evaluate the effectiveness of their simulation model by subjecting it to various experimental conditions, including liquid loading, temperature, and CO2 absorption (PPS). Comparing empirical and simulated mass transfer coefficients distinguishes this study from others. This procedure consists of two steps: Carbon dioxide (CO2) absorption in a solvent produces highly concentrated CO2 gas following solvent regeneration. A chemical adsorption process's scalability depends on accurate simulation models, typically validated using data from a pilot plant. With the aid of this study, a simulation model of a desorption column is constructed with ASPEN PLUS and 42% MEA validated. In addition, the effect of the weight percentage of 20-42 MEA in the inlet stream on the efficiency is investigated, and the influence of the MEA inlet temperature on system efficiency is examined. Then, the recommended temperature is confirmed based on the MEA's heat tolerance capacity of 303 Kelvin.

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Section: Literature Reviewmentioning

confidence: 99%

Simulation model of carbon capture with MEA and the effect of temperature and duty on efficiency

Majnoon,

Hajinezhad,

Moosavian

2024

fuen

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“…Ethanolamine (MEA) is certainly the most studied and used amine and is considered the benchmark for every sorbent-based CCS process. − More recently, benzylamine (BZA), another primary amine, has also aroused the interest of numerous research groups to be used both individually and mixed with other amines. ,− Many studies have shown that BZA and MEA have similar absorption capacity, carbamate stability, comparable vapor pressure, and boiling point. , Compared to MEA, BZA exhibits higher cyclic capacity, lower viscosity and lower heat capacity, faster absorption rate, and a better ability to promote mass transfer in blends . Furthermore, BZA is less subject to oxidative degradation than MEA and has a less corrosive behavior for the equipment .…”

Section: Introductionmentioning

confidence: 99%

Investigating the Performance of Ethanolamine and Benzylamine Blends as Promising Sorbents for Postcombustion CO₂ Capture through ¹³C NMR Speciation and Heat of CO₂ Absorption Analysis

et al. 2022

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Aiming at formulating efficient sorbents for carbon capture and separation (CCS) processes, in this work, we evaluated the CO2 capture performance of aqueous blends of two primary amines, namely, ethanolamine (MEA), the benchmark for any capture process, combined with benzylamine (BZA), which has intriguing characteristics for industrial use, such as low corrosivity and good resistance to thermal and oxidative degradation. The CO2 loading, the CO2 absorption rate, and the CO2 heat of absorption were determined at 313 K for three different formulations of aqueous BZA/MEA blends, all with the same overall amine concentration (6 M) but with different amine molar ratios (1/2, 1/1, 2/1) by treating a gas mixture containing 15% CO2 (by volume) mimicking a fossil-derived flue gas. Furthermore, through an accurate 13C NMR study, the species present in solution during the CO2 absorption process were identified and quantified to understand the capture mechanism and to evaluate the interactions of the two primary amines when present together in different molar ratios. As a result, the three tested blends show similar high CO2 absorption rates, and their final loading values decrease in the order BZA/MEA 1/2 > BZA/MEA 1/1 > BZA/MEA 2/1, suggesting that a greater relative amount of MEA in the blend is advantageous to achieve a relatively higher CO2 loading. The 13C NMR analysis confirmed that the greater alkalinity of MEA leads to a greater formation of bicarbonate in solution and consequently higher loading. Finally, the CO2 absorption heat of all tested mixtures, measured using a high-precision microcalorimeter, was found to be comparable, if not even higher, to that of each individual amine.

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Sustainable carbon dioxide capture, storage, and utilization: review of current status and future direction

Zhang,

Abdul Raman,

Jewaratnam

et al. 2024

Int. J. Environ. Sci. Technol.

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Prediction of CO2 capture capability of 0.5 MW MEA demo plant using three different deep learning pipelines

Cited by 13 publications

References 41 publications

Simulation model of carbon capture with MEA and the effect of temperature and duty on efficiency

Simulation model of carbon capture with MEA and the effect of temperature and duty on efficiency

Investigating the Performance of Ethanolamine and Benzylamine Blends as Promising Sorbents for Postcombustion CO₂ Capture through ¹³C NMR Speciation and Heat of CO₂ Absorption Analysis

Sustainable carbon dioxide capture, storage, and utilization: review of current status and future direction

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Prediction of CO2 capture capability of 0.5 MW MEA demo plant using three different deep learning pipelines

Cited by 13 publications

References 41 publications

Simulation model of carbon capture with MEA and the effect of temperature and duty on efficiency

Simulation model of carbon capture with MEA and the effect of temperature and duty on efficiency

Investigating the Performance of Ethanolamine and Benzylamine Blends as Promising Sorbents for Postcombustion CO2 Capture through 13C NMR Speciation and Heat of CO2 Absorption Analysis

Sustainable carbon dioxide capture, storage, and utilization: review of current status and future direction

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Investigating the Performance of Ethanolamine and Benzylamine Blends as Promising Sorbents for Postcombustion CO₂ Capture through ¹³C NMR Speciation and Heat of CO₂ Absorption Analysis