Synthesis of C4 Olefin by Ethanol Coupling Based on Multivariate Statistical Analysis

Hua Xu

doi:doi:10.11648/j.ijsd.20230904.11

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Synthesis of C4 Olefin by Ethanol Coupling Based on Multivariate Statistical Analysis

Hua Xu

Published in International Journal of Statistical Distributions and Applications (Volume 9, Issue 4)

Received: 12 November 2023 Accepted: 28 November 2023 Published: 11 December 2023

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Abstract

Ethanol coupling to prepare C4 olefin has excellent environmental benefits, economic value and broad application prospects, and has attracted extensive attention from scholars in many research fields at home and abroad. In this paper, based on the collected experimental data generated in the process of ethanol coupling to prepare C4 olefin, statistical analysis method is used to systematically analyze the data information. Firstly, regression models and exponential models of ethanol conversion, selectivity and temperature of C4 olefin were constructed, and the simulation accuracy of the two models under different catalyst combinations was compared by means of goodness of fit, significance probability and residual variance. The results showed that under 16 catalyst combinations, the ethanol conversion rate increased exponentially with the increase of temperature, and under the other 5 catalyst combinations, the ethanol conversion rate increased linearly with the increase of temperature. The selectivity of C4 olefins increased exponentially with the increase of temperature under 11 catalyst combinations, and linearly under the remaining 10 catalyst combinations. Then, based on the statistical data under temperature determination, the statistical distribution of seven different products over time was analyzed, and a multiple regression model was constructed to quantify the relationship between ethanol conversion, C4 olefin selectivity and other five products, and statistical tests were carried out. Finally, a paired sample test model was constructed to quantitatively analyze the effects of catalyst combination and temperature on ethanol conversion and selectivity of C4 olefin.

Published in	International Journal of Statistical Distributions and Applications (Volume 9, Issue 4)
DOI	10.11648/j.ijsd.20230904.11
Page(s)	90-100
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Regression Model, Exponential Model, Accuracy Test, Statistical Test

References

[1]	FANG Yangyang, Feng Gaoyao, Le Qian et al. Calculation model for the yield of C4 olefin from chemical ethanol coupling [J]. Contemporary Chemical Research, 2022, No. 115(14): 30-32.
[2]	Wu Wenjun, Zhang Zhiheng, Li Xingchen et al. Analysis of process conditions for preparation of C4 olefin by ethanol coupling based on RBF neural network model [J]. Journal of Jianghan University (Natural Science Edition), 2022, 50(03): 29-35.
[3]	Li Sanjie, Hu Yulin, Wang Taihang. Preparation of C4 olefins by ethanol coupling based on grey correlation analysis [J]. Science and Technology Information, 2022, 20(14): 62-66. (in Chinese)
[4]	Wang Runmo, Shen Huanyu, Chen Jing et al. Mathematical analysis of catalytic conditions in the preparation of C4 olefin by ethanol [J]. Journal of Qilu University of Technology, 2022, 36(03): 73-80. (in Chinese)
[5]	Wang Liying. Data analysis of conversion rate of C4 olefin prepared by chemical industry based on MATLAB [J]. Information and Computer (Theoretical Edition), 2022, 34(11): 23-26.
[6]	Zhang Yuan, Jin Yilan, Li Xiao. Synthesis of C4 olefins by ethanol coupling based on machine learning and multivariate nonlinear fitting [J]. Science and Technology Innovation, 2022(16): 177-180.
[7]	JIANG Zihao, Ren Tao, Zhou Qi, et al. Optimization model of C4 olefin preparation based on Random forest and L-M algorithm [J]. Journal of Jishou University (Natural Science Edition), 2022, 43(03): 79-83. (in Chinese)
[8]	Bo Xiaohan, Yan Ziqin, Wang Zhipeng et al. Preparation of C4 olefin based on multiple regression model [J]. Science and Technology Innovation, 2022(11): 49-52.
[9]	LI Shaowei, Wang Yujie, Xiong Lang et al. Optimization model of ethanol coupling for preparation of C4 olefin [J]. Journal of Taizhou University, 2021, 43(06): 26-32+77. (in Chinese)
[10]	Li Ming, YU Jianbo, Lu Yibo, et al. Study on preparation of C4 olefin by ethanol coupling based on regression analysis model [J]. Jiangxi Chemical Industry, 2021, 37(06): 92-94. (in Chinese)
[11]	Zhang S M, Zhan W L, Hu H, et al. Research on ethanol coupling to prepare C4 olefins based on BP neural network and cluster analysis [J]. Journal of Chemistry, 2022, 2022: 1-10.
[12]	Shi T. Study on Preparation of C4 olefins by ethanol coupling based on regression model [J]. International Journal of Frontiers in Engineering Technology, 2021, 3(9).
[13]	Zhang Y. Application of Multiple Linear Regression Analysis in the Preparation of C4 Olefins by Ethanol Coupling [J]. Advances in Engineering Technology Research, 2022, 1(1): 168-168.
[14]	Pang S, Zhu J, Zhang X. Study on Preparation of Olefins by Coupling ethanol based on partial correlation Analysis and Linear stepwise regression [J]. Highlights in Science, Engineering and Technology, 2022, 21: 383-390.
[15]	Chen A. The Regression Analysis Model of C4 Olefin Yield Optimization Study [J]. Academic Journal of Materials & Chemistry, 4(5): 36-43.

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APA Style

Xu, H. (2023). Synthesis of C4 Olefin by Ethanol Coupling Based on Multivariate Statistical Analysis. International Journal of Statistical Distributions and Applications, 9(4), 90-100. https://doi.org/10.11648/j.ijsd.20230904.11

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ACS Style

Xu, H. Synthesis of C4 Olefin by Ethanol Coupling Based on Multivariate Statistical Analysis. Int. J. Stat. Distrib. Appl. 2023, 9(4), 90-100. doi: 10.11648/j.ijsd.20230904.11

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AMA Style

Xu H. Synthesis of C4 Olefin by Ethanol Coupling Based on Multivariate Statistical Analysis. Int J Stat Distrib Appl. 2023;9(4):90-100. doi: 10.11648/j.ijsd.20230904.11

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@article{10.11648/j.ijsd.20230904.11,
  author = {Hua Xu},
  title = {Synthesis of C4 Olefin by Ethanol Coupling Based on Multivariate Statistical Analysis},
  journal = {International Journal of Statistical Distributions and Applications},
  volume = {9},
  number = {4},
  pages = {90-100},
  doi = {10.11648/j.ijsd.20230904.11},
  url = {https://doi.org/10.11648/j.ijsd.20230904.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsd.20230904.11},
  abstract = {Ethanol coupling to prepare C4 olefin has excellent environmental benefits, economic value and broad application prospects, and has attracted extensive attention from scholars in many research fields at home and abroad. In this paper, based on the collected experimental data generated in the process of ethanol coupling to prepare C4 olefin, statistical analysis method is used to systematically analyze the data information. Firstly, regression models and exponential models of ethanol conversion, selectivity and temperature of C4 olefin were constructed, and the simulation accuracy of the two models under different catalyst combinations was compared by means of goodness of fit, significance probability and residual variance. The results showed that under 16 catalyst combinations, the ethanol conversion rate increased exponentially with the increase of temperature, and under the other 5 catalyst combinations, the ethanol conversion rate increased linearly with the increase of temperature. The selectivity of C4 olefins increased exponentially with the increase of temperature under 11 catalyst combinations, and linearly under the remaining 10 catalyst combinations. Then, based on the statistical data under temperature determination, the statistical distribution of seven different products over time was analyzed, and a multiple regression model was constructed to quantify the relationship between ethanol conversion, C4 olefin selectivity and other five products, and statistical tests were carried out. Finally, a paired sample test model was constructed to quantitatively analyze the effects of catalyst combination and temperature on ethanol conversion and selectivity of C4 olefin.
},
 year = {2023}
}

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TY  - JOUR
T1  - Synthesis of C4 Olefin by Ethanol Coupling Based on Multivariate Statistical Analysis
AU  - Hua Xu
Y1  - 2023/12/11
PY  - 2023
N1  - https://doi.org/10.11648/j.ijsd.20230904.11
DO  - 10.11648/j.ijsd.20230904.11
T2  - International Journal of Statistical Distributions and Applications
JF  - International Journal of Statistical Distributions and Applications
JO  - International Journal of Statistical Distributions and Applications
SP  - 90
EP  - 100
PB  - Science Publishing Group
SN  - 2472-3509
UR  - https://doi.org/10.11648/j.ijsd.20230904.11
AB  - Ethanol coupling to prepare C4 olefin has excellent environmental benefits, economic value and broad application prospects, and has attracted extensive attention from scholars in many research fields at home and abroad. In this paper, based on the collected experimental data generated in the process of ethanol coupling to prepare C4 olefin, statistical analysis method is used to systematically analyze the data information. Firstly, regression models and exponential models of ethanol conversion, selectivity and temperature of C4 olefin were constructed, and the simulation accuracy of the two models under different catalyst combinations was compared by means of goodness of fit, significance probability and residual variance. The results showed that under 16 catalyst combinations, the ethanol conversion rate increased exponentially with the increase of temperature, and under the other 5 catalyst combinations, the ethanol conversion rate increased linearly with the increase of temperature. The selectivity of C4 olefins increased exponentially with the increase of temperature under 11 catalyst combinations, and linearly under the remaining 10 catalyst combinations. Then, based on the statistical data under temperature determination, the statistical distribution of seven different products over time was analyzed, and a multiple regression model was constructed to quantify the relationship between ethanol conversion, C4 olefin selectivity and other five products, and statistical tests were carried out. Finally, a paired sample test model was constructed to quantitatively analyze the effects of catalyst combination and temperature on ethanol conversion and selectivity of C4 olefin.

VL  - 9
IS  - 4
ER  -

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Author Information

Hua Xu

Department of Mathematics, Nanjing Normal University Taizhou College, Taizhou, China

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Plain Text BibTeX RIS

APA Style

Xu, H. (2023). Synthesis of C4 Olefin by Ethanol Coupling Based on Multivariate Statistical Analysis. International Journal of Statistical Distributions and Applications, 9(4), 90-100. https://doi.org/10.11648/j.ijsd.20230904.11

Copy | Download

ACS Style

Xu, H. Synthesis of C4 Olefin by Ethanol Coupling Based on Multivariate Statistical Analysis. Int. J. Stat. Distrib. Appl. 2023, 9(4), 90-100. doi: 10.11648/j.ijsd.20230904.11

Copy | Download

AMA Style

Xu H. Synthesis of C4 Olefin by Ethanol Coupling Based on Multivariate Statistical Analysis. Int J Stat Distrib Appl. 2023;9(4):90-100. doi: 10.11648/j.ijsd.20230904.11

Copy | Download

@article{10.11648/j.ijsd.20230904.11,
  author = {Hua Xu},
  title = {Synthesis of C4 Olefin by Ethanol Coupling Based on Multivariate Statistical Analysis},
  journal = {International Journal of Statistical Distributions and Applications},
  volume = {9},
  number = {4},
  pages = {90-100},
  doi = {10.11648/j.ijsd.20230904.11},
  url = {https://doi.org/10.11648/j.ijsd.20230904.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsd.20230904.11},
  abstract = {Ethanol coupling to prepare C4 olefin has excellent environmental benefits, economic value and broad application prospects, and has attracted extensive attention from scholars in many research fields at home and abroad. In this paper, based on the collected experimental data generated in the process of ethanol coupling to prepare C4 olefin, statistical analysis method is used to systematically analyze the data information. Firstly, regression models and exponential models of ethanol conversion, selectivity and temperature of C4 olefin were constructed, and the simulation accuracy of the two models under different catalyst combinations was compared by means of goodness of fit, significance probability and residual variance. The results showed that under 16 catalyst combinations, the ethanol conversion rate increased exponentially with the increase of temperature, and under the other 5 catalyst combinations, the ethanol conversion rate increased linearly with the increase of temperature. The selectivity of C4 olefins increased exponentially with the increase of temperature under 11 catalyst combinations, and linearly under the remaining 10 catalyst combinations. Then, based on the statistical data under temperature determination, the statistical distribution of seven different products over time was analyzed, and a multiple regression model was constructed to quantify the relationship between ethanol conversion, C4 olefin selectivity and other five products, and statistical tests were carried out. Finally, a paired sample test model was constructed to quantitatively analyze the effects of catalyst combination and temperature on ethanol conversion and selectivity of C4 olefin.
},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Synthesis of C4 Olefin by Ethanol Coupling Based on Multivariate Statistical Analysis
AU  - Hua Xu
Y1  - 2023/12/11
PY  - 2023
N1  - https://doi.org/10.11648/j.ijsd.20230904.11
DO  - 10.11648/j.ijsd.20230904.11
T2  - International Journal of Statistical Distributions and Applications
JF  - International Journal of Statistical Distributions and Applications
JO  - International Journal of Statistical Distributions and Applications
SP  - 90
EP  - 100
PB  - Science Publishing Group
SN  - 2472-3509
UR  - https://doi.org/10.11648/j.ijsd.20230904.11
AB  - Ethanol coupling to prepare C4 olefin has excellent environmental benefits, economic value and broad application prospects, and has attracted extensive attention from scholars in many research fields at home and abroad. In this paper, based on the collected experimental data generated in the process of ethanol coupling to prepare C4 olefin, statistical analysis method is used to systematically analyze the data information. Firstly, regression models and exponential models of ethanol conversion, selectivity and temperature of C4 olefin were constructed, and the simulation accuracy of the two models under different catalyst combinations was compared by means of goodness of fit, significance probability and residual variance. The results showed that under 16 catalyst combinations, the ethanol conversion rate increased exponentially with the increase of temperature, and under the other 5 catalyst combinations, the ethanol conversion rate increased linearly with the increase of temperature. The selectivity of C4 olefins increased exponentially with the increase of temperature under 11 catalyst combinations, and linearly under the remaining 10 catalyst combinations. Then, based on the statistical data under temperature determination, the statistical distribution of seven different products over time was analyzed, and a multiple regression model was constructed to quantify the relationship between ethanol conversion, C4 olefin selectivity and other five products, and statistical tests were carried out. Finally, a paired sample test model was constructed to quantitatively analyze the effects of catalyst combination and temperature on ethanol conversion and selectivity of C4 olefin.

VL  - 9
IS  - 4
ER  -

Copy | Download