Paper
11 March 2022 Coupling of ethanol to produce C4 olefins based on regression model
Jiandong Guo, Hao An, Qingxin Ren, Yuanyuan Mao
Author Affiliations +
Proceedings Volume 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021); 121600M (2022) https://doi.org/10.1117/12.2627945
Event: International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 2021, Sanya, China
Abstract
C4 olefin is an important chemical industry raw material, but the traditional production method not only has a low output rate, but also produces many additional by-products, wasting valuable resources. Therefore, exploring the production of C4 olefins from ethanol to alleviate the status quo has become the mainstream direction of chemistry research. Aiming at practical problems, this paper establishes corresponding effective models based on experimental data at various temperatures under different catalysts, and obtains the specific relationships between C4 olefin selectivity and C4 olefin yield, catalyst combination and temperature, respectively, so as to obtain the optimal ethanol to C4 olefins plan.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiandong Guo, Hao An, Qingxin Ren, and Yuanyuan Mao "Coupling of ethanol to produce C4 olefins based on regression model", Proc. SPIE 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 121600M (11 March 2022); https://doi.org/10.1117/12.2627945
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KEYWORDS
Bioalcohols

Data conversion

Data modeling

Excel

Cerium

Industrial chemicals

Raw materials

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