Abstract
This work presents an optimized design of a methyl diethanolamine CO 2 capture unit for clean hydrogen production via steam methane reforming of natural gas, where CO 2 is captured from the pressurized water-gas shifted syngas. We propose a modified version of the standard MDEA-based CO 2 capture process flowsheet, and we optimize the operating conditions by solving a multi-objective optimization problem to minimize energy consumption while maximizing the CO 2 capture rate. In this paper, we opted to model the CO 2 capture plant using an equilibrium-based approach. To validate the optimization results obtained and to verify the absorber and desorber dimensions, we sized both columns. Packing heights remain below the threshold of 15 metres and productivity ranges between 0.74 t CO 2 /m 3 h at a capture rate of 90% and 0.35 t CO 2 /m 3 h for a CO 2 recovery of 99.8% respectively. • We propose a modified process configuration for an MDEA-based CO 2 capture unit for low-carbon H 2 production via steam methane reforming of natural gas. • The optimal set of operating conditions that minimizes the energy consumption of the process while maximizing the CO 2 capture rate are found by solving a multi-objective optimization problem. • Feasible column designs, with packing heights below the threshold of 15 metres, are possible even at high capture rates ( > 98 % ).
Highlights
Optimal design of solvent-based CO2 scrubbing is key to the development of low-energy, low-cost CO2 capture technologies
This work presents an optimized design of a methyl diethanolamine CO2 capture unit for clean hydrogen production via steam methane reforming of natural gas, where CO2 is captured from the pressurized water-gas shifted syngas
Limited by process convergence issues, Sutter et al [7] applied a multi-variable sensitivity analysis that allowed to identify the set of operating conditions that minimized the energy consumption of the capture process for two different process configurations of the Chilled Ammonia Process (CAP): one configuration was free of solids, whereas the other exploited controlled solid formation
Summary
Optimal design of solvent-based CO2 scrubbing is key to the development of low-energy, low-cost CO2 capture technologies. As long as a reliable and detailed process model is available, the design of chemical processes like CO2 capture consists of two elements [1]: (i) the implementation of an optimal process configuration for the chemical system and application under study, and (ii) the identification of optimal operating conditions. Pérez-Calvo et al [6] have developed a methodology for the heuristic optimization of solvent-based CO2 capture processes, demonstrated using the CAP as case study, which includes: (i) the multi-objective optimization of the capture process in terms of minimum energy consumption and maximum productivity, for a certain range of CO2 capture efficiencies; (ii) a step-wise process simulation and optimization strategy aiming at minimizing the computational
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
