LAPSE:2023.36623
Published Article
LAPSE:2023.36623
Optimized Operation of Fluidized Catalytic Cracking Considering CO2 Fixation and Carbon Pricing
Yusuke Mori, Daisuke Okazaki, Gento Mogi
September 20, 2023
Recently, Japan and the European Union have been experiencing declining petroleum demand owing to global initiatives aimed at reducing environmental impact by curtailing CO2 emissions. Consequently, alternative products and operational conditions should be developed to utilize the fluid catalytic cracking (FCC) unit. Using simulation software (Aspen Hysys), this study modeled a typical FCC unit and compared the simulation results with operational data to ensure reproducibility. Two new process models were developed to investigate two scenarios: (i) the slurry discharged from the FCC unit is utilized as a feedstock for the FCC process and (ii) the slurry and fraction obtained from the downstream absorber of the FCC unit are introduced into a delayed coker unit to facilitate carbon fixation. Within an optimum riser outlet temperature (ROT) of 520−530 °C, the yields of gasoline and liquefied petroleum gas increased up to 4%. For profit performance, although ROT of 535−545 °C yielded peak efficiency, the CO2 emissions increased by 70%. Thus, a ROT of 530−540 °C, coupled with a delayed coker unit, can maximize profitability. Furthermore, a correlation graph illustrated the relationship between CO2 emissions and profit for selecting optimal FCC operational conditions.
Keywords
CO2 emission, decarbonizing, economic value, FCC, fluidized catalytic cracking, liquefied petroleum gas, LPG, operation patterns, plant optimization, process simulation
Suggested Citation
Mori Y, Okazaki D, Mogi G. Optimized Operation of Fluidized Catalytic Cracking Considering CO2 Fixation and Carbon Pricing. (2023). LAPSE:2023.36623
Author Affiliations
Mori Y: Department of Technology Management for Innovation, The University of Tokyo, Tokyo 113-8656, Japan
Okazaki D: Department of Technology Management for Innovation, The University of Tokyo, Tokyo 113-8656, Japan
Mogi G: Department of Technology Management for Innovation, The University of Tokyo, Tokyo 113-8656, Japan
Journal Name
Processes
Volume
11
Issue
8
First Page
2264
Year
2023
Publication Date
2023-07-27
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr11082264, Publication Type: Journal Article
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LAPSE:2023.36623
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doi:10.3390/pr11082264
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Sep 20, 2023
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CC BY 4.0
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[v1] (Original Submission)
Sep 20, 2023
 
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Sep 20, 2023
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Calvin Tsay
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