Model-based Workflow for Sustainable Production of High-Quality Spirits in Packed Column Stills
Date
Authors
Díaz-Quezada, S
Wilson, DI
Pérez-Correa, JR
Supervisor
Item type
Journal Article
Degree name
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier BV
Abstract
This study addresses water scarcity in Chilean distilleries by developing a model-based engineering workflow. Prolonged droughts, likely driven by global warming, have intensified this problem. The primary challenge is maintaining high-quality spirits while reducing cooling water and energy use during batch distillation in packed columns. This process was modeled using mass and energy balances, resulting in a system of partial differential algebraic equations (PDAE). Our workflow includes mechanistic modeling, disturbance modeling, multiobjective optimization, model predictive control, and Monte Carlo simulations. Our findings show that cooling water consumption can be reduced by up to 35 % and energy consumption by up to 14.4 % while maintaining product quality. The proposed system is robust against operational disturbances and model mismatch, ensuring consistent distillate quality. This research demonstrates the integration of model-based optimization and control strategies in batch distillation processes, which can be replicated in other fruit wine distillation processes for improved sustainability.Description
Keywords
40 Engineering, 4010 Engineering Practice and Education, 7 Affordable and Clean Energy, 0904 Chemical Engineering, 0913 Mechanical Engineering, Chemical Engineering, 4004 Chemical engineering, Fruit wine, Batch distillation, Multiobjective optimization, Partial differential algebraic equation systems, Water consumption
Source
Computers and Chemical Engineering, ISSN: 0098-1354 (Print), Elsevier BV, 192, 108910-108910. doi: 10.1016/j.compchemeng.2024.108910
Publisher's version
Rights statement
This is the Preprint version of an article published in Computers and Chemical Engineering © 2024 Elsevier Ltd. The Version of Record can be accessed via subscription at DOI: 10.1016/j.compchemeng.2024.108910