Control of Heat-Integrated Distillation Columns: Review, Trends, and Challenges for Future Research

被引:2
作者
Tahir, Nura Musa [1 ]
Zhang, Jie [1 ]
Armstrong, Matthew [1 ]
机构
[1] Newcastle Univ, Sch Engn, Newcastle Upon Tyne NE1 7RU, England
关键词
distillation column; heat integration; heat-integrated distillation column; model predictive control; composition control; ENERGY-EFFICIENT DISTILLATION; MODEL-PREDICTIVE CONTROL; EXTRACTIVE DISTILLATION; THERMODYNAMIC EFFICIENCY; SECONDARY REFLUX; DYNAMIC-ANALYSIS; WAVE MODEL; OPTIMIZATION; SEPARATION; DESIGN;
D O I
10.3390/pr13010017
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Heat-integrated distillation columns (HIDiC) are well known for their high energy efficiency, which has been demonstrated through thorough model-based simulation and practical testing. Despite this advantage, HIDiC systems are fundamentally complicated and provide major hurdles, particularly in terms of dynamic control, complicating their industrial implementation. Ongoing research is critical to improving their stability and scalability, allowing for wider incorporation into industrial processes. This review focuses on the fundamental aspects of HIDiC systems, such as heat transfer models, design improvements, experimental research, modelling, simulation, optimization, and process control techniques. This paper summarizes the present status of research and identifies significant technological obstacles that must be overcome to increase the functionality and industrial applications of HIDiC technology. In response to the increased demand for energy-efficient industrial processes, the analysis also investigates current developments in HIDiC control and optimization methodologies. It evaluates several control approaches, both model-based and data-driven, and their capacity to handle the dynamic complexities seen in HIDiC systems. Furthermore, this paper discusses the most recent optimization efforts targeted at improving product purity, operational flexibility, and overall energy efficiency.
引用
收藏
页数:33
相关论文
共 140 条
[1]   50 Years of Optimization in Japan Using Superstructures [J].
Alcantara-Avila, J. Rafael .
JOURNAL OF CHEMICAL ENGINEERING OF JAPAN, 2023, 56 (01)
[2]   Design and optimization, using genetic algorithms, of intensified distillation systems for a class of quaternary mixtures [J].
Antonio Vazquez-Castillo, Jose ;
Addiel Venegas-Sanchez, Josue ;
Gabriel Segovia-Hernandez, Juan ;
Hernandez-Escoto, Hector ;
Hernandez, Salvador ;
Gutierrez-Antonio, Claudia ;
Briones-Ramirez, Abel .
COMPUTERS & CHEMICAL ENGINEERING, 2009, 33 (11) :1841-1850
[4]   Optimization and heat integration of hybrid R-HIDiC and pervaporation by combining GA and PSO algorithm in TAME synthesis [J].
Babaie, Omid ;
Esfahany, Mohsen Nasr .
SEPARATION AND PURIFICATION TECHNOLOGY, 2020, 236
[5]   DYNAMIC COMPARTMENTAL-MODELS FOR SEPARATION PROCESSES [J].
BENALLOU, A ;
SEBORG, DE ;
MELLICHAMP, DA .
AICHE JOURNAL, 1986, 32 (07) :1067-1078
[6]   Nonlinear state estimation and model predictive control of nitrogen purification columns [J].
Bian, SJ ;
Henson, MA ;
Belanger, P ;
Megan, L .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2005, 44 (01) :153-167
[7]   Compartmental modeling of high purity air separation columns [J].
Bian, SJ ;
Khowinij, S ;
Henson, MA ;
Belanger, P ;
Megan, L .
COMPUTERS & CHEMICAL ENGINEERING, 2005, 29 (10) :2096-2109
[8]  
Biyanto Totok R., 2017, Procedia Engineering, V170, P520, DOI 10.1016/j.proeng.2017.03.083
[9]   The structured heat integrated distillation column [J].
Bruinsma, O. S. L. ;
Krikken, T. ;
Cot, J. ;
Saric, M. ;
Tromp, S. A. ;
Olujic, Z. ;
Stankiewicz, A. I. .
CHEMICAL ENGINEERING RESEARCH & DESIGN, 2012, 90 (04) :458-470
[10]   Optimal Dynamic Operation of a High-Purity Air Separation Plant under Varying Market Conditions [J].
Cao, Yanan ;
Swartz, Christopher L. E. ;
Flores-Cerrillo, Jesus .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2016, 55 (37) :9956-9970