Computer-based optimization of acid gas removal unit using modified CO 2 absorption kinetic models

Dara, Satyadileep; Berrouk, Abdallah S.

doi:10.1016/j.ijggc.2017.02.014

Cited by 17 publications

(5 citation statements)

References 14 publications

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“…After absorption, the liquid solvent is sent to the regeneration column where it is regenerated at high temperature (typically 363-383 K). This process can be optimized using process simulation software [17] in which the diffusion coefficients of the acid gases inside the liquid phase are used to simulate the reaction kinetics [11]. Since both CO 2 and H 2 S react with the solvent, it is experimentally not possible to directly measure their diffusion coefficients.…”

Section: Introductionmentioning

confidence: 99%

Transport properties of mixtures of acid gases with aqueous monoethanolamine solutions: A molecular dynamics study

Polat

Meyer²,

Houriez³

et al. 2023

Fluid Phase Equilibria

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Section: Introductionmentioning

confidence: 99%

Transport properties of mixtures of acid gases with aqueous monoethanolamine solutions: A molecular dynamics study

Polat

Meyer²,

Houriez³

et al. 2023

Fluid Phase Equilibria

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“…In oil and gas industry, the well fluid is processed to remove unnecessary impurities such as CO 2 [1] from the natural gas prior to deliver the sales gas to the gas buyer to meet the quality as required by the gas sales specification.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Methanol Synthesis in Packed Bed Reactor for Utilization of CO₂ from Acid Gas Removal Unit

2018

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There are many oil and gas fields in Indonesia which contain high CO2 that need to be treated. The Acid Gas Removal Unit (AGRU) is installed to remove the CO2. The AGRU will release the CO2 gas from the regeneration column. It still contains a high concentration of CO2 (higher than 80%). The accumulation of CO2 emission to the atmosphere will impact the environment. To promote environment-friendly technology, the process can be improved with conversion of CO2 into methanol. It will provide a relatively closed loop of the carbon cycle and as a renewable energy alternative. This study aims to provide packed bed reactor design which can be implemented in the small-scale methanol production plant utilizing high CO2 feed gas. The reactor temperature was varied from 200°C to 250°C and pressure were operated in the range of 40 Bar up to 75 Bar. These variations were used to analyze the effects of methanol production. The simulation results showed that peak methanol production rate was achieved at the temperature around 230°C. As the conclusion, the reactor showed better performance at the higher pressure and higher temperature although the reaction is exothermic including the recycling process can reduce the cost of hydrogen.

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“…In order to develop an authentic model of the dehydration unit, we need to understand the absorption desorption mechanism in and from TEG thoroughly. Due to the complexity of the firstprinciples-based model and the tedious mechanism required to obtain the requisite information, 44 an entirely data-based combined lasso−SVR−EACO method was adopted for minimizing the BTEX emission and maximizing the dehydration concurrently. Using the random input samples to the ProMax and their response, an SVR model is generated for BTEX emission and dry gas water content.…”

Section: Resultsmentioning

confidence: 99%

Multi-objective Optimization of the TEG Dehydration Process for BTEX Emission Mitigation Using Machine-Learning and Metaheuristic Algorithms

Mukherjee

Diwekar

2021

ACS Sustainable Chem. Eng.

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Natural gas processing involves the removal of acidic gases, followed by dehydration. The dehydration process is primarily carried out through absorption in triethylene glycol (TEG). During the dehydration process, volatile organic compounds (VOCs) including benzene, toluene, ethylbenzene, and isomers of xylene together known as BTEX present in natural gas are absorbed into the glycol solvent. During the thermal regeneration process of TEG, a substantial amount of BTEX and VOCs are emitted resulting in adverse environmental and health impacts, leading to the need for strict regulations. Effective mitigation of emission is essential for the natural gas industry. There are several process parameters associated with major equipment that may impact BTEX emission. Regulation of some of these parameters is found to have an adverse impact on the dehydration process as well. In this work, a multi-objective optimization is performed in order to find the optimal operating conditions related to the process parameters to mitigate BTEX emission. It is also essential to select the most important parameters from a larger set so that a reliable analysis can be performed using the reduced set of parameters. The analysis is performed using data-driven modeling using machine-learning algorithms, followed by optimization with a probabilistic technique. The least absolute shrinkage and selection operator (lasso) method is used for variable selection; support vector regression (SVR) is used for metamodeling; and a novel metaheuristic optimization algorithm, efficient ant colony optimization (EACO), is used for optimization. The surrogate or metamodel is generated with data obtained from process simulation carried out using ProMax. Using the lasso–SVR–EACO strategy, different optimized sets of operating conditions that minimize the BTEX emission for a stipulated dry gas water content, were obtained. The results show that BTEX released from the dehydration process can be mitigated by optimally choosing the TEG circulation rate, reboiler temperature, stripping gas flow rate, and absorber pressure.

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Computer-based optimization of acid gas removal unit using modified CO 2 absorption kinetic models

Cited by 17 publications

References 14 publications

Transport properties of mixtures of acid gases with aqueous monoethanolamine solutions: A molecular dynamics study

Transport properties of mixtures of acid gases with aqueous monoethanolamine solutions: A molecular dynamics study

Simulation of Methanol Synthesis in Packed Bed Reactor for Utilization of CO₂ from Acid Gas Removal Unit

Multi-objective Optimization of the TEG Dehydration Process for BTEX Emission Mitigation Using Machine-Learning and Metaheuristic Algorithms

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Computer-based optimization of acid gas removal unit using modified CO 2 absorption kinetic models

Cited by 17 publications

References 14 publications

Transport properties of mixtures of acid gases with aqueous monoethanolamine solutions: A molecular dynamics study

Transport properties of mixtures of acid gases with aqueous monoethanolamine solutions: A molecular dynamics study

Simulation of Methanol Synthesis in Packed Bed Reactor for Utilization of CO2 from Acid Gas Removal Unit

Multi-objective Optimization of the TEG Dehydration Process for BTEX Emission Mitigation Using Machine-Learning and Metaheuristic Algorithms

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Simulation of Methanol Synthesis in Packed Bed Reactor for Utilization of CO₂ from Acid Gas Removal Unit