2021
DOI: 10.1115/1.4051679
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Carbon Capture and Storage Energy Consumption and Performance Optimization Using Metamodels and Response Surface Methodology

Abstract: Oil and gas industries have high carbon dioxide (CO2) emissions, which is a great environmental concern. Monoethanolamine (MEA) is widely used as a solvent in CO2 capture and storage (CCS) systems. The challenge is that MEA–CCS itself is an energy-intensive process that requires optimum configuration and operation, and numerous design parameters and heat demands must be considered. Thus, the current work evaluates the energy distributions and CO2 removal efficiency of a CCS installed in floating produ… Show more

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Cited by 22 publications
(3 citation statements)
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“…The carbon capture unit or the CO2 removal unit presents a huge cooling demand for the condenser of the stripper tower, which is a significant source of waste heat for use in the organic Rankine cycle [5].…”
Section: -Carbon Capturementioning
confidence: 99%
See 1 more Smart Citation
“…The carbon capture unit or the CO2 removal unit presents a huge cooling demand for the condenser of the stripper tower, which is a significant source of waste heat for use in the organic Rankine cycle [5].…”
Section: -Carbon Capturementioning
confidence: 99%
“…These steps need precooling, intercooling, and cooling to meet the required operating temperature. Therefore, the required cooling demands reach 100 MW for a typical processing plant [5,6]. Conversely, due to the high operating pressure and temperature of the gas compression unit, the equipment used is energy-intensive and is not thermodynamically efficient [7].…”
Section: Introductionmentioning
confidence: 99%
“…The experimental data reflected a percentage error between 0.6% and 2.11% when compared against the predicted results. Ali et al 45 evaluated the energy distribution and CO 2 removal efficiency of an aqueous MEA solvent system, which was then optimized using metamodels and RSM. The optimized configuration reduced heating and cooling demands by 62.77%, reduced total power consumption by 8.65%, and increased the separation performance by 4.46% in comparison with conventional processes.…”
Section: Introductionmentioning
confidence: 99%