Enhanced CO2 absorption through amine blending: Thermodynamic modeling and Regeneration energy analysis
아민 혼합을 통한 CO2 흡수 성능 향상: 열역학 모델링과 재생에너지 분석
- 주제(키워드) 도움말 Thermodynamic modeling , electrolyte nonrandom two-liquid (e-NRTL) , CO2 cyclic capacity , solvent regeneration energy , amine blending
- 발행기관 강릉원주대학교 일반대학원
- 지도교수 도움말 김경민(Kyung-Min Kim)
- 발행년도 2024
- 학위수여년월 2024. 2
- 학위명 석사
- 학과 및 전공 도움말 일반대학원 생명화학공학과
- 세부분야 해당없음
- 실제URI http://www.dcollection.net/handler/kangnung/000000011558
- UCI I804:42001-000000011558
- 본문언어 영어
초록/요약 도움말
Amine-based aqueous solutions have emerged as a promising avenue for mitigating CO2 emissions. The investigation of potential amine blends holds the key to enhancing process efficiency in terms of CO2 capture and reducing the energy required for regeneration. In this research, we evaluate the efficacy of commonly used amines (MEA, DEA, DIPA, TEA, MDEA, AMP, and their binary mixtures) and present findings on the synergistic impact of amine blending in reducing regeneration energy. The thermodynamic behavior of aqueous amine systems in CO2 capture is assessed using the electrolyte nonrandom two-liquid model, and a shortcut method is employed for regeneration energy estimation. The analysis encompasses the CO2 loading ratio, concentrations of molecules and ions in the liquid phase, heat of absorption, pH, and regeneration energy. Our study identifies two cases where amine blending has a synergistic effect in lowering regeneration energy. First, the combination of carbamate-forming and non-carbamate-forming amines accelerates carbamate formation, expanding the CO2 cyclic capacity of DIPA-MDEA and DEA-AMP systems and reducing regeneration energy requirements. Second, an optimal amine blending ratio is determined based on the tradeoff between sensible, reaction, and latent heat components. In the MEA-MDEA system, MEA reduces sensible and latent heats, while MDEA effectively lowers the reaction heat. These findings provide valuable guidance for the selection of amines and blending strategies to enhance CO2 capture efficiency and minimize regeneration energy demands.
more목차 도움말
Table of Contents
1. Introduction
2. Experimental
2.1. Materials
2.2. Experimental method
3. Literature on performance enhancement through amine blending
4. Thermodynamic modeling and Shortcut method
4.1. Thermodynamic modeling
4.1.1. Chemical equilibrium reaction
4.1.2. Vapor-Liquid equilibrium
4.1.3. Activity coefficient model: e-NRTL
4.2. Shortcut method
5. Result and Discussion
5.1. Validation of experimental and modeling
5.2. Absorption behavior in amine solution
5.2.1. Cyclic capacity
5.2.2. General behavior of molecular and ion species
5.2.3. Effect of amine blending on absorption behavior
5.2.4. Effect of amine blending on pH
5.3. Regeneration energy
5.3.1. Effect of stripper T and feed gas CO2 concentration
5.3.2. Effect of blending ratio and feed gas CO2 concentration
5.3.3. Optimal point: stripper T and blending ratio
6. Conclusions
7. Reference
8. Supplementary material
List of Tables
Table 1. VLE data of amine species for blending ratio and temperature from literature
Table 2. Summary of recent studies on blended amines
Table 3. The coefficients for the equilibrium constant and Henry’s constant
Table 4. Optimal conditions for stripper temperature, heat component, circulation rate, and CO2 loading ratio for given absorber temperatures.
List of Figure
1. The scheme of the Shortcut method
2. Comparison of experimental CO2 solubility data in AMP and DIPA
3. Comparison of experimental data with prediction lines using the e-NRTL model in this study for CO2 solubility
4. Parity plot for experimental data and estimation results for CO2 partial pressure for DIPA-AMP
5. CO2 partial pressure as a function of CO2 loading ratio
6. Variation in the cyclic capacity according to CO2 partial pressure
7. Liquid phase molar fraction of each species in CO2-Amine-H2O system
8. Molar fraction of carbamate, bicarbonate and CO2, and heat of absorption
9. pH value according to CO2 loading ratio and the blending ratio
10. Required energy and circulation rate as functions of stripper temperature
11. Required energy and circulation rate as functions of blending ratio
12. Required energy for MEA-MDEA aqueous solution according to blending ratio and stripper temperature
13. Required energy for DIPA-MDEA aqueous solution according to blending ratio and stripper temperature
