An experimental based optimization of a novel water lean amine solvent for post combustion CO2 capture process. (15th August 2019)
- Record Type:
- Journal Article
- Title:
- An experimental based optimization of a novel water lean amine solvent for post combustion CO2 capture process. (15th August 2019)
- Main Title:
- An experimental based optimization of a novel water lean amine solvent for post combustion CO2 capture process
- Authors:
- Hwang, Junhyeok
Kim, Jeongnam
Lee, Hee Won
Na, Jonggeol
Ahn, Byoung Sung
Lee, Sang Deuk
Kim, Hoon Sik
Lee, Hyunjoo
Lee, Ung - Abstract:
- Graphical abstract: Highlights: Propose a new water lean amine solvent for CO2 capture. The low regeneration energy of K2 Sol is demonstrated through pilot plant operation. K2 Sol presents superior performances about cyclic capacity and thermal stability. GPBO is used as a new way to optimize operating conditions in pilot-scale testing. K2 Sol requires only 65% of regeneration energy of MEA. Abstract: The development of new amine solvents without the major drawbacks of conventional amines is crucial to industrial applications of CO2 capture. This paper presents a water-lean CO2 capture solvent having a low regeneration energy and low degradation. The water-lean solvent, K2 Sol, is a sterically hindered diamine; because of the hindered amine site, K2 Sol easily forms bicarbonate, resulting in a high absorption capacity. The minimum solvent regeneration energy is obtained using Gaussian process Bayesian optimization (GPBO) and bench-scale pilot plant experiments. GPBO finds the optimal solution using the input and output relationship of experiments; thus, expensive first-principle model construction can be avoided. According to the pilot plant experiment, the optimal regeneration energies of monoethanolamine (MEA) and K2 Sol are 4.3 and 2.8 GJ/t CO2, respectively, indicating that K2 Sol requires only 65% of the regeneration energy of MEA. Fewer than 30 experiments are required to find the optimal pilot plant operation for both the MEA and K2 Sol experiments. We also describeGraphical abstract: Highlights: Propose a new water lean amine solvent for CO2 capture. The low regeneration energy of K2 Sol is demonstrated through pilot plant operation. K2 Sol presents superior performances about cyclic capacity and thermal stability. GPBO is used as a new way to optimize operating conditions in pilot-scale testing. K2 Sol requires only 65% of regeneration energy of MEA. Abstract: The development of new amine solvents without the major drawbacks of conventional amines is crucial to industrial applications of CO2 capture. This paper presents a water-lean CO2 capture solvent having a low regeneration energy and low degradation. The water-lean solvent, K2 Sol, is a sterically hindered diamine; because of the hindered amine site, K2 Sol easily forms bicarbonate, resulting in a high absorption capacity. The minimum solvent regeneration energy is obtained using Gaussian process Bayesian optimization (GPBO) and bench-scale pilot plant experiments. GPBO finds the optimal solution using the input and output relationship of experiments; thus, expensive first-principle model construction can be avoided. According to the pilot plant experiment, the optimal regeneration energies of monoethanolamine (MEA) and K2 Sol are 4.3 and 2.8 GJ/t CO2, respectively, indicating that K2 Sol requires only 65% of the regeneration energy of MEA. Fewer than 30 experiments are required to find the optimal pilot plant operation for both the MEA and K2 Sol experiments. We also describe the superior properties of K2 Sol in terms of the CO2 loading, cyclic capacity, regeneration temperature, and degradation. … (more)
- Is Part Of:
- Applied energy. Volume 248(2019)
- Journal:
- Applied energy
- Issue:
- Volume 248(2019)
- Issue Display:
- Volume 248, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 248
- Issue:
- 2019
- Issue Sort Value:
- 2019-0248-2019-0000
- Page Start:
- 174
- Page End:
- 184
- Publication Date:
- 2019-08-15
- Subjects:
- CO2 capture -- Water-lean amine solvent -- Gaussian process Bayesian optimization -- Pilot-scale testing
Power (Mechanics) -- Periodicals
Energy conservation -- Periodicals
Energy conversion -- Periodicals
621.042 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03062619 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.apenergy.2019.04.135 ↗
- Languages:
- English
- ISSNs:
- 0306-2619
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1572.300000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12425.xml