Keywords and Phrases
Pressure Swing Adsorption; Single Step Flue Gas Cleanup Process; TECHNO-ECONOMIC ANALYSIS
"Flue gas cleanup often requires the removal of SOx, NOx and CO2 in separate units before atmospheric emission. The step-wise treatment process currently in place incurs significant cost and energy penalty. A single-step adsorption process based on pressure swing adsorption (PSA) by which these impurities are removed is envisioned as an efficient means of flue gas cleanup that can be applied relatively easily. In this study, the technological and economic feasibility of a single-step separation process in which SOx, NOx and CO2 are simultaneously removed from flue gas streams are assessed. Capital and operating costs are estimated based on sizing the equipment items and utilities needed and the potentials for increased energy efficiency are determined in relation to the required PSA performance. The energy saving potential for the adoption of 2-bed and 4-bed PSA cycle is compared to conventional FGD, SCR and CO2 capture units needed to cleanup flue gas in a step-wise fashion. The results show that energy savings can be expected when the PSA removal efficiency is greater than 90%. In the case of a 550 MW coal-fired power plant, the energy savings can be as high as 30% depending on PSA removal efficiency and cycle time. This high value can be reached when the PSA cycle time is on the order of 2 min. Overall, the PSA process is expected to lower the cleanup costs for both retrofitted and new-build power plants. This techno-economic assessment shows that the integrated single-step system can be an attractive technology when compared to multi-step systems for the removal of flue gas impurities"--Abstract, page iii.
Chemical and Biochemical Engineering
M.S. in Chemical Engineering
Missouri University of Science and Technology
xiii, 52 pages
© 2017 Amit Harendrasing Hajari
Thesis - Open Access
Electronic OCLC #
Hajari, Amit Narendrasing, "Combined flue gas cleanup process for simultaneous removal of SOx, NOx, and CO₂ -- A techno-economic analysis" (2017). Masters Theses. 7645.