Exploring the relationship between C4 olefins and reaction temperature based on regression analysis model

Fumin Hao; Jinyu Wang; Yuanyuan Mao

doi:10.1117/12.2639739

17 May 2022 Exploring the relationship between C4 olefins and reaction temperature based on regression analysis model

Fumin Hao, Jinyu Wang, Yuanyuan Mao

Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 122593D (2022) https://doi.org/10.1117/12.2639739
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, 2022, Kunming, China

Abstract

At present, the production process of low-carbon olefins is developing in a diversified direction, and process technologies such as ethanol to olefins have been successfully developed, and they have been continuously promoted to industrial application, showing strong competitiveness. Based on real experimental data, this paper optimizes the existing data with the help of interpolation method; secondly, MATLAB software is used to establish a fitting regression model to explore the relationship between ethanol conversion, C4 olefin selectivity and temperature; finally, SPSS software is used to analyze the time and other variables. Correlation analysis is performed in turn. After inspection, the model and method established in this paper have the characteristics of simple, practical and high reliability

Citation Download Citation

Fumin Hao, Jinyu Wang, and Yuanyuan Mao "Exploring the relationship between C4 olefins and reaction temperature based on regression analysis model", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 122593D (17 May 2022); https://doi.org/10.1117/12.2639739

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