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Received July 12, 2020
Accepted November 16, 2020
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Computational fluid dynamics simulation of methanol to olefins in stage circulating fluidized bed riser: Effect of reactor stage parameters on product yields
Chaiwat Soanuch1
Krittin Korkerd1
Jakkrapong Phupanit2
Ratchanon Piemjaiswang3
Pornpote Piumsomboon1 4
Benjapon Chalermsinsuwan1 4†
1Department of Chemical Technology, Faculty of Science, Chulalongkorn University, 254 Phyathai Road, Wangmai, Pathumwan, Bangkok 10330, Thailand 2Program in Petrochemistry and Polymer Science, Faculty of Science, Chulalongkorn University, 254 Phayathai Road, Wangmai, Pathumwan, Bangkok 10330, Thailand 3Environmental Research Institute,, Chulalongkorn University, 254 Phyathai Road, Wangmai, Pathumwan, Bangkok 10330, Thailand 4Center of Excellence on Petrochemical and Materials Technology, Chulalongkorn University, 254 Phayathai Road, Wangmai, Pathumwan, Bangkok 10330, Thailand
benjapon.c@chula.ac.th
Korean Journal of Chemical Engineering, March 2021, 38(3), 540-551(12), 10.1007/s11814-020-0713-0
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Abstract
The risers of a conventional fluidized bed reactor and a stage fluidized bed reactor for the convention of methanol to olefins (MTO) were simulated using computational fluid dynamics. The reaction rates of the MTO reaction were validated to successfully match with the literature experiment. Then, the reactor stage parameters were examined by using the 2k design of the experiment method, including the number of reactor stages, the thickness of the reactor stage, and the wall temperature of the reactor stage. The stage circulating fluidized bed riser decreased the yield of ethene but increased the yield of propene and light olefins. From the obtained solid volume fraction profile, the stage circulating fluidized bed riser could reduce the back-mixing and increase the system turbulence, which promotes the light olefins of the MTO reaction yield. The wall temperature of the reactor stage did not significantly affect the chemical reaction in the circulating fluidized bed riser.
Keywords
References
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Freiding J, Kraushaar-Czarnetzki B, Appl. Catal. A: Gen., 391(1-2), 254 (2011)
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Zhu YP, Xiao FZ, Luo ZH, Asia-Pacific J. Chem. Eng., 9, 280 (2014)
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Samruamphianskun T, Piumsomboon P, Chalermsinsuwan B, Chem. Eng. J., 210, 237 (2012)
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Cloete S, Amini S, Johansen ST, Powder Technol., 205(1-3), 103 (2011)
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Lv XL, Li HZ, Zhu QS, Chem. Eng. J., 236, 149 (2014)
Zhang YW, Ma Q, Xu X, Xiao YH, Lei FL, Chem. Eng. Process., 98, 71 (2015)
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Montgomery DC, Design and analysis of experiments, Wiley and Sons, New York (2001).
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Yurata T, Piumsomboon P, Chalermsinsuwan B, Chem. Eng. Res. Des., 153, 401 (2020)
Bos AN, Tromp PJ, Akse HN, Ind. Eng. Chem. Res., 34(11), 3808 (1995)
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Rostami RB, Ghavipour M, Di Z, Wang Y, Behbahani RM, RSC Adv., 5, 81965 (2015)
Sedighi M, Bahrami H, Towfighi J, J. Ind. Eng. Chem., 20(5), 3108 (2014)
