RETRACTED ARTICLE: Combinatorial optimization analysis of the production process of C4 olefins from ethanol based on the PSO–BP algorithm

Ze-Hua He ()
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Ze-Hua He: Anhui University of Finance and Economics

Journal of Combinatorial Optimization, 2023, vol. 45, issue 5, No 26, 37 pages

Abstract: Abstract The main objective of this study was to optimize the design of a production process for the preparation of C4 olefins from ethanol. Firstly, the data were preprocessed to investigate the association between temperature, ethanol conversion, and C4 olefin selectivity for various catalyst combinations using polynomial fitting methods based on data distribution patterns. Secondly, SVM regression, Gaussian process regression, and BP neural network regression models were used to investigate and select the best models for ethanol conversion and C4 olefin yield for different catalyst combinations and temperatures. Finally, neural network and particle swarm optimization algorithms were used to derive the optimal catalyst combination and temperature to maximize C4 olefin yield. The use of neural networks and particle swarm optimization algorithms proved to be effective in optimizing the reaction conditions for the production of C4 olefins from ethanol.

Keywords: Preparation of C4 olefins from ethanol; Catalyst combination; Polynomial fitting; Neural network; Particle swarm optimization (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10878-023-01062-1

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