Techno-economic analysis and optimization of a CO2 absorption process with a solvent looping system at the absorber using an MDEA/PZ blended solvent for steam methane reforming

Kum, Jaesung; Oh, Hyun‐Taek; Park, Jun Hyung; Kang, Jun-Ho; Lee, Chang Ha

doi:10.1016/j.cej.2022.140685

Cited by 21 publications

(2 citation statements)

References 53 publications

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“…The study used MEA solvent in a stripper integrated with a refinery plant. The results showed that the heat demand in the stripper increased when lower temperatures were simulated [33].…”

Section: Introductionmentioning

confidence: 99%

Process Simulation of Post-combustion CO<sub>2 </sub>Capture Using Alkanolamines

Saeid,

Malek,

Zeinolabedini

et al. 2024

Preprint

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Environmental preservation presents numerous challenges, particularly in capturing carbon di-oxide. Despite multiple studies on this topic, there remains a need for additional capture plants, particularly in the energy sector. The power industry emits flue gas during its post-combustion process, and capturing carbon dioxide from this gas would make power plants more environ-mentally friendly while aiding the preservation of the planet. The work conducted in This study aimed to investigate the gap in knowledge to contribute to the development of a better world without harming it. The identified research gap reveals no established optimal monoethanola-mine (MEA) solvent concentration for the process. A simulation was performed using Aspen Hysys to analyze the absorption efficiency at higher solvent concentrations and address this is-sue. The input data was obtained from a flue gas capture plant in the UK. The results obtained from discrete increments indicate an optimal solid result for an MEA concentration of 36 wt.%. Further analysis of temperature and pressure revealed that other solvents, such as diethanola-mine (DEA) and triethanolamine (TEA), are more stable at higher concentrations and that DEA and TEA at the same concentration as MEA consumed significantly less energy to capture carbon dioxide.

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“…The study used MEA solvent in a stripper integrated with a refinery plant. The results showed that the heat demand in the stripper increased when lower temperatures were simulated [33].…”

Section: Introductionmentioning

confidence: 99%

Process Simulation of Post-combustion CO<sub>2 </sub>Capture Using Alkanolamines

Saeid,

Malek,

Zeinolabedini

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The optimal blending ratio was obtained by considering four different targets, including maximum total amine-based CO 2 cyclic capacity and minimum regeneration energy. Kum et al [33] developed a pre-combustion CO 2 absorption process using a methyldiethanolamine (MDEA) and piperazine (PZ) blended solvent for CO 2 capture from steam methane reforming (SMR) gas. Techno-economic analysis was performed, and the results showed that the novel blended-solvent looping system had a lower CO 2 capture cost per ton at a 99% CO 2 capture rate.…”

Section: Introductionmentioning

confidence: 99%

Improving CO2 Absorption Using Artificial Intelligence and Modern Optimization for a Sustainable Environment

Nassef

2023

Sustainability

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One of the essential factors in maintaining environmental sustainability is to reduce the harmful effects of carbon dioxide (CO2) emissions. This can be performed either by reducing the emissions themselves or capturing and storing the emitted CO2. This work studies the solubility of carbon dioxide in the capturing solvent, which plays a crucial role in the effectiveness and cost-efficiency of carbon capture and storage (CCS). Therefore, the study aims to enhance the solubility of CO2 by integrating artificial intelligence (AI) and modern optimization. Accordingly, this study consists of two consecutive stages. In the first stage, an adaptive neuro-fuzzy inference system (ANFIS) model as an AI tool was developed based on experimental data. The mol fraction was targeted as the model’s output in terms of three operating parameters; the concentration of tetrabutylphosphonium methanesulfonate [TBP][MeSO3], temperature, and pressure of CO2. The operating ranges are (2–20 wt%), (30–60 °C), and (2–30 bar), respectively. Based on the statistical measures of the root mean squared error (RMSE) and the predicted R2, the ANFIS model outperforms the traditional analysis of variance (ANOVA) modeling technique, where the resulting values were found to be 0.126 and 0.9758 for the entire samples, respectively. In the second stage, an improved grey wolf optimizer (IGWO) was utilized to determine the optimal operating parameters that increase the solubility of CO2. The optimal values of the three operating parameters that improve the CO2 solubility were found to be 3.0933 wt%, 40.5 °C, and 30 bar, respectively. With these optimal values, the collaboration between the ANFIS and IGWO produced an increase of 13.4% in the mol fraction compared to the experimental data and the response surface methodology. To demonstrate the efficacy of IGWO, the obtained results were compared to the results of four competitive optimization techniques. The comparison showed that the IGWO demonstrates superior performance. Overall, this study provided a cost-efficient approach based on AI and modern optimization to enhance CO2 solubility in CCS.

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Two-Stage Optimization of Reformer-Based Hydrogen Production Network Considering Cost, Reliability and Safety

Lew,

Andiappan,

Hassim

2024

Process Integr Optim Sustain

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Techno-economic analysis and optimization of a CO2 absorption process with a solvent looping system at the absorber using an MDEA/PZ blended solvent for steam methane reforming

Cited by 21 publications

References 53 publications

Process Simulation of Post-combustion CO<sub>2 </sub>Capture Using Alkanolamines

Process Simulation of Post-combustion CO<sub>2 </sub>Capture Using Alkanolamines

Improving CO2 Absorption Using Artificial Intelligence and Modern Optimization for a Sustainable Environment

Two-Stage Optimization of Reformer-Based Hydrogen Production Network Considering Cost, Reliability and Safety

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