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Pistikopoulos EN, Tian Y. Advanced Modeling and Optimization Strategies for Process Synthesis. Annu Rev Chem Biomol Eng 2024; 15:81-103. [PMID: 38594946 DOI: 10.1146/annurev-chembioeng-100522-112139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
This article provides a systematic review of recent progress in optimization-based process synthesis. First, we discuss multiscale modeling frameworks featuring targeting approaches, phenomena-based modeling, unit operation-based modeling, and hybrid modeling. Next, we present the expanded scope of process synthesis objectives, highlighting the considerations of sustainability and operability to assure cost-competitive production in an increasingly dynamic market with growing environmental awareness. Then, we review advances in optimization algorithms and tools, including emerging machine learning-and quantum computing-assisted approaches. We conclude by summarizing the advances in and perspectives for process synthesis strategies.
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Affiliation(s)
- Efstratios N Pistikopoulos
- Texas A&M Energy Institute and Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas, USA;
| | - Yuhe Tian
- Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia, USA;
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Pazmiño-Mayorga I, Jobson M, Kiss AA. A Systematic Methodology for the Synthesis of Advanced Reactive Distillation Technologies. Ind Eng Chem Res 2023. [DOI: 10.1021/acs.iecr.2c04540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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3
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Tinoco-Sáenz R, Alcantara-Avila JR, Mansouri SS, Sánchez-Ramírez E, Ramírez-Márquez C, Segovia-Hernández JG. Design and optimization of an inherently safe and sustainable process for the separation of anisole. J Loss Prev Process Ind 2022. [DOI: 10.1016/j.jlp.2022.104899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Witt PM, Hickman DA. Fluidized‐Bed Reactor Scale‐Up: Reaction Kinetics Required. AIChE J 2022. [DOI: 10.1002/aic.17803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Paul M. Witt
- Core Research and Development, The Dow Chemical Company Midland MI
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Solvent pre-selection for extractive distillation using infinite dilution activity coefficients and the three-component Margules equation. Sep Purif Technol 2021. [DOI: 10.1016/j.seppur.2021.119230] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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Advancements in Optimization and Control Techniques for Intensifying Processes. Processes (Basel) 2021. [DOI: 10.3390/pr9122150] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Process Intensification (PI) is a vast and growing area in Chemical Engineering, which deals with the enhancement of current technology to enable improved efficiency; energy, cost, and environmental impact reduction; small size; and better integration with the other equipment. Since process intensification results in novel, but complex, systems, it is necessary to rely on optimization and control techniques that can cope with such new processes. Therefore, this review presents some advancements in the field of process intensification that are worthy of exploring in detail in the coming years. At the end, several important open questions that can be taken into consideration in the coming years are listed.
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Model-based evaluation of a membrane-assisted hybrid extraction-distillation process for energy and cost-efficient purification of diluted aqueous streams. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2021.116650] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Pistikopoulos EN, Tian Y, Bindlish R. Operability and control in process intensification and modular design: Challenges and opportunities. AIChE J 2021. [DOI: 10.1002/aic.17204] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Affiliation(s)
- Efstratios N. Pistikopoulos
- Artie McFerrin Department of Chemical Engineering Texas A&M University College Station Texas USA
- Texas A&M Energy Institute, Texas A&M University College Station Texas USA
| | - Yuhe Tian
- Artie McFerrin Department of Chemical Engineering Texas A&M University College Station Texas USA
- Texas A&M Energy Institute, Texas A&M University College Station Texas USA
| | - Rahul Bindlish
- Engineering Solutions Technology Center, The Dow Chemical Company Texas USA
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Ye H, Zou X, Zhu W, Yang Y, Dong H, Bi M. Synthesis framework for distillation sequence with sidestream columns: Application in reaction-separation-recycle system. Chem Eng Res Des 2021. [DOI: 10.1016/j.cherd.2020.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Rapid Multi-Objective Optimization of Periodically Operated Processes Based on the Computer-Aided Nonlinear Frequency Response Method. Processes (Basel) 2020. [DOI: 10.3390/pr8111357] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
The dynamic optimization of promising forced periodic processes has always been limited by time-consuming and expensive numerical calculations. The Nonlinear Frequency Response (NFR) method removes these limitations by providing excellent estimates of any process performance criteria of interest. Recently, the NFR method evolved to the computer-aided NFR method (cNFR) through a user-friendly software application for the automatic derivation of the functions necessary to estimate process improvement. By combining the cNFR method with standard multi-objective optimization (MOO) techniques, we developed a unique cNFR–MOO methodology for the optimization of periodic operations in the frequency domain. Since the objective functions are defined with entirely algebraic expressions, the dynamic optimization of forced periodic operations is extraordinarily fast. All optimization parameters, i.e., the steady-state point and the forcing parameters (frequency, amplitudes, and phase difference), are determined rapidly in one step. This gives the ability to find an optimal periodic operation around a sub-optimal steady-state point. The cNFR–MOO methodology was applied to two examples and is shown as an efficient and powerful tool for finding the best forced periodic operation. In both examples, the cNFR–MOO methodology gave conditions that could greatly enhance a process that is normally operated in a steady state.
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Kleinekorte J, Fleitmann L, Bachmann M, Kätelhön A, Barbosa-Póvoa A, von der Assen N, Bardow A. Life Cycle Assessment for the Design of Chemical Processes, Products, and Supply Chains. Annu Rev Chem Biomol Eng 2020; 11:203-233. [PMID: 32216728 DOI: 10.1146/annurev-chembioeng-011520-075844] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Design in the chemical industry increasingly aims not only at economic but also at environmental targets. Environmental targets are usually best quantified using the standardized, holistic method of life cycle assessment (LCA). The resulting life cycle perspective poses a major challenge to chemical engineering design because the design scope is expanded to include process, product, and supply chain. Here, we first provide a brief tutorial highlighting key elements of LCA. Methods to fill data gaps in LCA are discussed, as capturing the full life cycle is data intensive. On this basis, we review recent methods for integrating LCA into the design of chemical processes, products, and supply chains. Whereas adding LCA as a posteriori tool for decision support can be regarded as established, the integration of LCA into the design process is an active field of research. We present recent advances and derive future challenges for LCA-based design.
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Affiliation(s)
- Johanna Kleinekorte
- Institute of Technical Thermodynamics, RWTH Aachen University, 52062 Aachen, Germany;
| | - Lorenz Fleitmann
- Institute of Technical Thermodynamics, RWTH Aachen University, 52062 Aachen, Germany;
| | - Marvin Bachmann
- Institute of Technical Thermodynamics, RWTH Aachen University, 52062 Aachen, Germany;
| | - Arne Kätelhön
- Institute of Technical Thermodynamics, RWTH Aachen University, 52062 Aachen, Germany;
| | - Ana Barbosa-Póvoa
- Centre for Management Studies, Instituto Superior Técnico, University of Lisbon, 1649-004, Lisbon, Portugal
| | - Niklas von der Assen
- Institute of Technical Thermodynamics, RWTH Aachen University, 52062 Aachen, Germany;
| | - André Bardow
- Institute of Technical Thermodynamics, RWTH Aachen University, 52062 Aachen, Germany; .,Institute of Energy and Climate Research, Forschungszentrum Jülich, 52428 Jülich, Germany
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Tula AK, Eden MR, Gani R. Hybrid method and associated tools for synthesis of sustainable process flowsheets. Comput Chem Eng 2019. [DOI: 10.1016/j.compchemeng.2019.106572] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Freund H, Maußner J, Kaiser M, Xie M. Process intensification by model-based design of tailor-made reactors. Curr Opin Chem Eng 2019. [DOI: 10.1016/j.coche.2019.08.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Tula AK, Eden MR, Gani R. Computer‐aided process intensification: Challenges, trends and opportunities. AIChE J 2019. [DOI: 10.1002/aic.16819] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Anjan K. Tula
- Department of Chemical Engineering Auburn University Auburn Alabama
- College of Control Science and Engineering Zhejiang University Hangzhou China
| | - Mario R. Eden
- Department of Chemical Engineering Auburn University Auburn Alabama
| | - Rafiqul Gani
- College of Control Science and Engineering Zhejiang University Hangzhou China
- PSE for SPEED Allerød Denmark
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