Energy Minimization in Piperazine Promoted MDEA-Based CO2 Capture Process

Khan, Bilal; Ullah, Asad; Saleem, Muhammad Wajid; Khan, Abdullah Nawaz; Fa’Iq, Muhammad; Haris, Mir

doi:10.3390/su12208524

Cited by 24 publications

(12 citation statements)

References 20 publications

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“…Zhao et al., 19 found that 5% PZ is not sufficient to remove CO 2 properly from coal power plants, since the reboiler duty of 2.74 GJ/t CO 2 was achieved at 30% MDEA and 20 wt.% of PZ concentration, which is lower than the conventional MEA process. Similarly, Khan et al., 20 analyzed that MDEA and PZ concentration ratio of 35:15 wt.% was an appropriate concentration. They obtained the reboiler duty of 3.235 MJ/kg CO 2 at this concentration for the base process.…”

Section: Introductionmentioning

confidence: 98%

An investigation on simultaneous freshwater production and CO₂ capture using flue gas of a power plant

Soomro

Ullah

Khan³

2022

Greenhouse Gases

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This paper presents an investigation on simultaneous freshwater production and CO2 capture using the flue gases of a 500 MWe coal‐fired power plant. Generally, a fan/cooler is used to reduce the temperature of flue gas before flowing into the absorber column of a CO2 capture unit. It has been replaced with a heat exchanger in this study. Seawater and flue gas were passed through the heat exchanger to raise the temperature of seawater and reduce the temperature of flue gas. The high‐temperature seawater was subsequently fed into a membrane distillation (MD) unit for freshwater production. The cold flue gas was directed to the CO2 capture unit. The heat exchanger and CO2 capture unit were modeled with Aspen Plus software. Whereas MATLAB software was used to develop and solve the MD mathematical model software for freshwater production. The seawater flow rate was varied from 4000 L/min to 7000 L/min in the heat exchanger. As a result, the flue gas (flow rate 781.6 t/h) and the outlet seawater temperatures were reduced from 27.498 to 22.360°C and 73.384 to 52.670°C, respectively. However, higher inlet seawater temperature in the MD unit produced more freshwater. An increase in inlet seawater feed temperature in the MD unit from 52.670 to 73.384°C increased the freshwater production from 211,956.5 to 299,244 L/day. Furthermore, the CO2 capture process has been analyzed by varying the methyldiethanolamine (MDEA) and piperazine (PZ) concentrations in weight% (45 and 5, 40 and 10, 35 and 15, and 30 and 20, respectively). It was observed that the energy requirement reduced from 3.55 to 3.26 MJ/kg CO2 by increasing the PZ content from 5 to 20 wt.%. At 15 and 20 wt.% of PZ content in the blended solution of MDEA/PZ, the energy required to regenerate the solvent was 3.31 and 3.26 MJ/kg CO2, respectively. PZ emissions from the absorber were also increased with the raising of PZ content in the blended solution. The energy requirement was not much higher at 15 wt.% than 20 wt.%. Therefore, MDEA/PZ solution (15/35 wt.%) was considered an optimal concentration. The reboiler duty was reduced up to 3.25 MJ/kg CO2 at 15/35 wt.% concentration with stripper pressure of 2.3 bar. © 2022 Society of Chemical Industry and John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 98%

An investigation on simultaneous freshwater production and CO₂ capture using flue gas of a power plant

Soomro

Ullah

Khan³

2022

Greenhouse Gases

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“…It is necessary to establish the lean amine mixture’s ideal concentration, which matches the H 2 S and CO 2 levels in sweet gas. A typical alkanolamine-based solvent ranges from 30 to 45 wt% MDEA and 5–20 wt% piperazine, with the rest made up of water [ 10 ]. Still, there is no guarantee of optimal removal efficiency for such a prescribed solvent.…”

Section: Introductionmentioning

confidence: 99%

Application of Neural Network in Predicting H2S from an Acid Gas Removal Unit (AGRU) with Different Compositions of Solvents

Hakimi

Omar

Ibrahim

2023

Sensors

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The gas sweetening process removes hydrogen sulfide (H2S) in an acid gas removal unit (AGRU) to meet the gas sales’ specification, known as sweet gas. Monitoring the concentration of H2S in sweet gas is crucial to avoid operational and environmental issues. This study shows the capability of artificial neural networks (ANN) to predict the concentration of H2S in sweet gas. The concentration of N-methyldiethanolamine (MDEA) and Piperazine (PZ), temperature and pressure as inputs, and the concentration of H2S in sweet gas as outputs have been used to create the ANN network. Two distinct backpropagation techniques with various transfer functions and numbers of neurons were used to train the ANN models. Multiple linear regression (MLR) was used to compare the outcomes of the ANN models. The models’ performance was assessed using the mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R2). The findings demonstrate that ANN trained by the Levenberg–Marquardt technique, equipped with a logistic sigmoid (logsig) transfer function with three neurons achieved the highest R2 (0.966) and the lowest MAE (0.066) and RMSE (0.122) values. The findings suggested that ANN can be a reliable and accurate prediction method in predicting the concentration of H2S in sweet gas.

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“…They have also investigated different process modifications like cold solvent split, rich vapour compression and combination of both for energy minimization. [22]. The objective of this paper is to evaluate the performance of MDEA piperazine absorption system in terms of mole fraction of methane in biomethane, recovery rate of methane and energy consumption by varying the operating parameters like absorber pressure, flowrate of the solvent, number of stages in the absorber and piperazine concentration in aqueous MDEA.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Biogas upgrading by amine scrubbing using activated MDEA

APARNA¹

2023

Preprint

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Biogas upgrading to produce biomethane is emerging as one of the distinguished solutions to the current energy crisis and environmental challenges. Biogas upgraded biomethane is gaining importance as fuel source and can be injected into the natural gas grid. This necessitates the need for energy efficient upgrading technologies. Among the upgrading technologies available, amine scrubbing is considered as a promising method due to low operating pressure, high methane recovery rates and low power consumptions. This paper presents an evaluation of amine scrubbing for biogas upgrading using aqueous solution formulations of piperazine activated methyl diethanolamine (MDEA) in Unisim software. The objective of this study was to coin optimal operating conditions for biomethane production from raw biogas by considering the technical, environmental and economic aspects. The performance of the process was evaluated in terms of mole fraction of methane in biomethane, recovery rate of methane and energy consumption by varying the operating parameters like absorber operating pressure, number of stages of the absorber, flowrate of the solvent and piperazine concentration in aqueous MDEA.

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Energy Minimization in Piperazine Promoted MDEA-Based CO2 Capture Process

Cited by 24 publications

References 20 publications

An investigation on simultaneous freshwater production and CO₂ capture using flue gas of a power plant

An investigation on simultaneous freshwater production and CO₂ capture using flue gas of a power plant

Application of Neural Network in Predicting H2S from an Acid Gas Removal Unit (AGRU) with Different Compositions of Solvents

Performance Evaluation of Biogas upgrading by amine scrubbing using activated MDEA

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Energy Minimization in Piperazine Promoted MDEA-Based CO2 Capture Process

Cited by 24 publications

References 20 publications

An investigation on simultaneous freshwater production and CO2 capture using flue gas of a power plant

An investigation on simultaneous freshwater production and CO2 capture using flue gas of a power plant

Application of Neural Network in Predicting H2S from an Acid Gas Removal Unit (AGRU) with Different Compositions of Solvents

Performance Evaluation of Biogas upgrading by amine scrubbing using activated MDEA

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An investigation on simultaneous freshwater production and CO₂ capture using flue gas of a power plant

An investigation on simultaneous freshwater production and CO₂ capture using flue gas of a power plant