Multi-objective optimization of ANN-based vacuum pressure swing adsorption process for ethane and ethylene separation

• Tipo: Artigo em Revista Científica Internacional
• Data: 2025

Autores

Lim, MK (Autor) Outra; Yun, JS (Autor) Outra; Cho, KH (Autor) Outra; Yoon, JW (Autor) Outra; Lee, UH (Autor) Outra; Alexandre Ferreira (Autor) FEUP; Ana M. Ribeiro (Autor) FEUP; Nogueira, IBR (Autor) Outra; Park, J (Autor) Outra; Kim, JK (Autor) Outra; Kim, K (Autor) Outra

Revista

Título: Journal of Industrial and Engineering Chemistry

Vol. 143

Páginas: 221-239

ISSN: 1226-086X

Editora: Korean Society of Industrial Engineering Chemistry

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Projetos Associados

LA LSRE-LCM - Financiamento Plurianual 2020-2023 para a Unidade LA LSRE-LCM Laboratório de Processos de Separação e Reacção - Laboratório de Catálise e Materiais

Outras Informações

ID Authenticus: P-016-YWZ

DOI: 10.1016/j.jiec.2024.08.025

Abstract (EN): A bilevel optimization methodology was developed for separating ethane and ethylene using vacuum pressure swing adsorption. Data generated through Latin hypercube sampling and normalization were employed to construct a neural network at a lower level, serving as a surrogate model for the comprehensive first-principle adsorption process. Following sensitivity analysis based on Monte Carlo simulation, optimization, data resampling, and reconciliation were performed at an upper level. Two cases were performed to optimize the ethane and ethylene separation process. In the first scenario, ethylene recovery was optimized under a purity constraint, resulting in an enhancement from 65.28 % to 87.19 %. In the second scenario, both ethylene recovery and energy consumption were simultaneously optimized with the purity constraint, leading to the generation of a Pareto front. From this Pareto front, two operating conditions were determined: one using TOPSIS and the other aimed at reducing energy consumption from a conventional distillation column to 0.733 MJ/kg-ethylene. Compared to conventional distillation, the vacuum pressure swing adsorption (VPSA) process showed 82.8 % recovery with 0.747 MJ/kg-ethylene and 72.21 % recovery with 0.683 MJ/kg-ethylene. A dynamic analysis and an economic analysis of scaling up VPSA process were performed to compare with C2 splitter.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 19