Evaluation of potassium glycinate, potassium lysinate, potassium sarcosinate and potassium threonate solutions in CO2 capture using membranes

Azam Marjani,Ali Taghvaie Nakhjiri,Mahboubeh Pishnamazi,Saeed Shirazian

doi:10.1016/j.arabjc.2020.102979

Abstract

The mitigation process of greenhouse gases emission such as CO2 into the atmosphere is known as a vital necessity in modern societies. Nowadays, amino acid salt solutions (AASSs) have been extensively applied as a promising alternative to alkanol amine absorbents to increase the CO2 sequestration efficiency from disparate gaseous flows. This article aims to computationally and theoretically evaluate the CO2 separation percentage using potassium glycinate (PG), potassium lysinate (PL), potassium sarcosinate (PS) and potassium threonate (PT) amino acid solutions from an inlet gaseous mixture inside a hydrophobic membrane contactor (HMC). To do this, the governing first principal equations inside the HMC are solved using the computational fluid dynamics procedure based on finite element technique. Acceptable agreement between the simulation results and experimental values with average deviation of approximately 3% implies the validation of developed two-dimensional (2D) simulation approach developed in this study. The analysis of obtained results demonstrated that PG is the most efficient amino acid solution for CO2 molecular sequestration with the ability of separating 90% of inlet CO2 in the system. The order of solutions is 90% sequestration using PG > 89.3% sequestration using PT > 77.4% sequestration using PL > 72.3% sequestration using PS.

Highlights

Over the previous decades, boundless increment in humans’ industrial activities has eventuated in significant challenges associated with the emission of poisonous greenhouse gases into the atmosphere such as air contamination and climate change (Herzog et al, 2000; Nakhjiri and Heydarinasab, 2019; Rongwong et al, 2013).CO2 is known as the most prominent component of greenhouse contaminants based on the Intergovernmental Panel on Climate Change (IPCC) (Mehdipour et al, 2014)
Development of numerical modeling and computational simulations associated with hydrophobic membrane contactor (HMC) based on the computational fluid dynamics (CFD) approach has been of great interest due to enabling researchers to perceive the unpredicted parameters such as wettability and membrane porosity which influence the final efficiency of HMCs
The important aim of this paper is to numerically develop a modeling and computationally assemble a two-dimensional (2D) axisymmetrical simulation based on the computational fluid dynamics (CFD) procedure to investigate the amount of CO2 molecular sequestration applying various amino acid salt solutions (AASSs) inside the HMC

Summary

Introduction

Boundless increment in humans’ industrial activities has eventuated in significant challenges associated with the emission of poisonous greenhouse gases (mainly CO2) into the atmosphere such as air contamination and climate change (Herzog et al, 2000; Nakhjiri and Heydarinasab, 2019; Rongwong et al, 2013).CO2 is known as the most prominent component of greenhouse contaminants based on the Intergovernmental Panel on Climate Change (IPCC) (Mehdipour et al, 2014). Development of numerical modeling and computational simulations associated with HMCs based on the computational fluid dynamics (CFD) approach has been of great interest due to enabling researchers to perceive the unpredicted parameters such as wettability and membrane porosity which influence the final efficiency of HMCs. For instance, Nasim Afza et al developed a dynamic model to investigate CO2 removal efficiency applying liquid water as absorbent inside a porous membrane contactor. Zhang et al developed a numerical simulation to assess the removal yield of CO2 inside a HMC They applied the mixture of methyldiethanolamine (MDEA) and 2-(1-piperazinyl)-ethylamine (PZEA) to chemically sequester CO2. They found that by increasing the number of fibers from 3000 to 10,000 substantially enhance the CO2 separation yield from 47.8 to 98.1% (Zhang et al, 2014)

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