Phenomenological model of a reactive distillation column validated at pilot-plant scale to produce n-butyl lactate

IF 3.8 3区 工程技术 Q3 ENERGY & FUELS
Cesar A. Garcia , Silvia Ochoa , Iván D. Gil , Argimiro R. Secchi
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引用次数: 0

Abstract

This study presents a comprehensive phenomenological model for a pilot-plant scale reactive distillation column used in the production of n-butyl lactate, a green solvent with industrial potential. The model integrates reaction kinetics and thermodynamic equilibrium to address key challenges such as non-linearities and multiple steady states commonly observed in reactive distillation processes. The model was validated using three scenarios: (1) Isoamyl acetate production at pilot-plant scale, (2) n-butyl lactate production based on lab-scale data from literature, and (3) an in silico pilot-plant scale simulation of n-butyl lactate production. Sensitivity analysis confirmed the model’s robustness in predicting system behavior under various operating conditions. This work contributes to the optimization of green solvent production, offering insights into process stability and scalability for industrial applications. Future work will focus on the development of advanced control strategies for real-time optimization.

Abstract Image

反应蒸馏塔的现象模型在生产乳酸正丁酯的中试工厂规模上得到验证
本研究为用于生产具有工业潜力的绿色溶剂乳酸正丁酯的中试规模反应蒸馏塔提出了一个综合现象学模型。该模型整合了反应动力学和热力学平衡,以解决反应蒸馏过程中常见的非线性和多重稳态等关键难题。该模型通过三种情况进行了验证:(1) 中试工厂规模的醋酸异戊酯生产,(2) 基于文献中实验室规模数据的乳酸正丁酯生产,以及 (3) 硅中试工厂规模的乳酸正丁酯生产模拟。敏感性分析证实了该模型在各种操作条件下预测系统行为的稳健性。这项工作有助于优化绿色溶剂的生产,为工业应用提供了工艺稳定性和可扩展性方面的见解。今后的工作将侧重于开发先进的控制策略,以实现实时优化。
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来源期刊
CiteScore
7.80
自引率
9.30%
发文量
408
审稿时长
49 days
期刊介绍: Chemical Engineering and Processing: Process Intensification is intended for practicing researchers in industry and academia, working in the field of Process Engineering and related to the subject of Process Intensification.Articles published in the Journal demonstrate how novel discoveries, developments and theories in the field of Process Engineering and in particular Process Intensification may be used for analysis and design of innovative equipment and processing methods with substantially improved sustainability, efficiency and environmental performance.
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