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Bertran MO, Babi DK. Exploration and evaluation of modular concepts for the design of full-scale pharmaceutical manufacturing facilities. Biotechnol Bioeng 2024; 121:2241-2257. [PMID: 37661710 DOI: 10.1002/bit.28539] [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] [Received: 02/17/2023] [Revised: 08/02/2023] [Accepted: 08/16/2023] [Indexed: 09/05/2023]
Abstract
The design of biopharmaceutical processes is predominantly driven by the domain of experimental process design. This approach can be further improved by combining multiple domain information such as experiments, unit models, and flowsheet models. Approaches consisting of methods and flowsheet models provide the framework for exploring, analyzing, and ultimately evaluating the combinatorial space of all possible designs within the molecule-to-manufacturing value chain. In recent years, modular process designs are of interest in the pharmaceutical industry because of the shift toward multiproduct, mutiprocess processes. Therefore, a systematic approach for how to evaluate the utilization of the modular plug-n-play concept provides metrics that can propel modular design from a viable design alternative to the selected alternative for full-scale manufacturing. The objective of this paper is to present such an in silico approach for the evaluation of modular designs. The approach is presented as a systematic method and then, is exemplified through the manufacture of an active pharmaceutical ingredient (API). The application of the method shows how to transition from a typical design-for-purpose design alternative to a modular design through the utilization of data, modeling, simulation, and uncertainty/sensitivity analyses for quantification of various selection metrics such as process robustness and flexibility.
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Affiliation(s)
- Maria-Ona Bertran
- API Manufacturing Development Bioprocess Improvement-Optimization, Bagsværd, Denmark
| | - Deenesh K Babi
- API Manufacturing Development Bioprocess Improvement-Optimization, Bagsværd, Denmark
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2
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Andersson MP, Jones MN, Mikkelsen KV, You F, Mansouri SS. Quantum computing for chemical and biomolecular product design. Curr Opin Chem Eng 2022. [DOI: 10.1016/j.coche.2021.100754] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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3
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Calvo F, Gómez JM, Alvarez O, Ricardez-Sandoval L. Trends and perspectives on emulsified product design. Curr Opin Chem Eng 2022. [DOI: 10.1016/j.coche.2021.100745] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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5
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Kontogeorgis GM, Jhamb S, Liang X, Dam-Johansen K. Computer-aided design of formulated products. Curr Opin Colloid Interface Sci 2022. [DOI: 10.1016/j.cocis.2021.101536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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6
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Guo W, Liu Q, Zhang L, Du J, Zhu X, Fung KY, Yu Y, Ng KM. Computer-Aided Design of a Perfluorinated Sulfonic Acid Proton Exchange Membrane Using Stochastic Optimization and Molecular Dynamic Method. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c03661] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Wenjing Guo
- Institute of Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China
| | - Qilei Liu
- Institute of Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China
| | - Lei Zhang
- Institute of Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China
| | - Jian Du
- Institute of Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China
| | - Xiuling Zhu
- State Key Lab of Fine Chemicals, Department of Polymer Science & Materials, Dalian University of Technology, Dalian 116024, China
| | - Ka Yip Fung
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, 999077 Hong Kong
| | - Yong Yu
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, 999077 Hong Kong
| | - Ka Ming Ng
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, 999077 Hong Kong
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7
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Zhang L, Mao H, Zhuang Y, Wang L, Liu L, Dong Y, Du J, Xie W, Yuan Z. Odor prediction and aroma mixture design using machine learning model and molecular surface charge density profiles. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2021.116947] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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8
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Kandelhard F, Georgopanos P. Predici as a Polymer Engineers’ Tool for the Synthesis of Polymers via Anionic Polymerization. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c01319] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Felix Kandelhard
- Institute of Membrane Research, Helmholtz-Zentrum Hereon, Max-Planck-Straße 1, Geesthacht 21502, Germany
| | - Prokopios Georgopanos
- Institute of Membrane Research, Helmholtz-Zentrum Hereon, Max-Planck-Straße 1, Geesthacht 21502, Germany
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Pistikopoulos EN, Barbosa-Povoa A, Lee JH, Misener R, Mitsos A, Reklaitis GV, Venkatasubramanian V, You F, Gani R. Process systems engineering – The generation next? Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2021.107252] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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10
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Adjiman CS, Sahinidis NV, Vlachos DG, Bakshi B, Maravelias CT, Georgakis C. Process Systems Engineering Perspective on the Design of Materials and Molecules. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.0c05399] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Claire S. Adjiman
- Department of Chemical Engineering, Centre for Process Systems Engineering and Institute for Molecular Science and Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, U.K
| | - Nikolaos V. Sahinidis
- H. Milton Stewart School of Industrial & Systems Engineering and School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Dionisios G. Vlachos
- Department of Chemical and Biomolecular Engineering, Catalysis Center for Energy Innovation, RAPID Manufacturing Institute, and Delaware Energy Institute (DEI), University of Delaware, Newark, Delaware 19716, United States
| | - Bhavik Bakshi
- Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, Ohio 43210, United States
| | - Christos T. Maravelias
- Department of Chemical & Biological Engineering and Andlinger Center for Energy and the Environment, Princeton University, Princeton, New Jersey 08544, United States
| | - Christos Georgakis
- Department of Chemical and Biological Engineering Systems Research Institute of Chemical and Biological Processes, Tufts University, Medford, Massachusetts 02155, United States
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11
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Kandelhard F, Schuldt K, Schymura J, Georgopanos P, Abetz V. Model‐Assisted Optimization of RAFT Polymerization in Micro‐Scale Reactors—A Fast Screening Approach. MACROMOL REACT ENG 2021. [DOI: 10.1002/mren.202000058] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Felix Kandelhard
- Helmholtz‐Zentrum Geesthacht Institute of Membrane Research Max‐Planck‐Str. 1 Geesthacht 21502 Germany
| | - Karina Schuldt
- Helmholtz‐Zentrum Geesthacht Institute of Membrane Research Max‐Planck‐Str. 1 Geesthacht 21502 Germany
| | - Juliane Schymura
- Helmholtz‐Zentrum Geesthacht Institute of Membrane Research Max‐Planck‐Str. 1 Geesthacht 21502 Germany
| | - Prokopios Georgopanos
- Helmholtz‐Zentrum Geesthacht Institute of Membrane Research Max‐Planck‐Str. 1 Geesthacht 21502 Germany
| | - Volker Abetz
- Helmholtz‐Zentrum Geesthacht Institute of Membrane Research Max‐Planck‐Str. 1 Geesthacht 21502 Germany
- Institute of Physical Chemistry University of Hamburg Martin‐Luther‐King‐Platz 6 Hamburg 20146 Germany
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12
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Liu Q, Zhang L, Tang K, Liu L, Du J, Meng Q, Gani R. Machine learning‐based atom contribution method for the prediction of surface charge density profiles and solvent design. AIChE J 2020. [DOI: 10.1002/aic.17110] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Qilei Liu
- Institute of Chemical Process Systems Engineering, School of Chemical Engineering Dalian University of Technology Dalian China
| | - Lei Zhang
- Institute of Chemical Process Systems Engineering, School of Chemical Engineering Dalian University of Technology Dalian China
| | - Kun Tang
- Institute of Chemical Process Systems Engineering, School of Chemical Engineering Dalian University of Technology Dalian China
| | - Linlin Liu
- Institute of Chemical Process Systems Engineering, School of Chemical Engineering Dalian University of Technology Dalian China
| | - Jian Du
- Institute of Chemical Process Systems Engineering, School of Chemical Engineering Dalian University of Technology Dalian China
| | - Qingwei Meng
- State Key Laboratory of Fine Chemicals, School of Pharmaceutical Science and Technology Dalian University of Technology Dalian China
- Ningbo Institute of Dalian University of Technology Ningbo China
| | - Rafiqul Gani
- PSE for SPEED, Skyttemosen 6 Allerød Denmark
- Department of Chemical and Biomolecular Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon South Korea
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13
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Alshehri AS, Gani R, You F. Deep learning and knowledge-based methods for computer-aided molecular design—toward a unified approach: State-of-the-art and future directions. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.107005] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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14
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Zhang X, Zhou T, Ng KM. Optimization‐based cosmetic formulation: Integration of mechanistic model, surrogate model, and heuristics. AIChE J 2020. [DOI: 10.1002/aic.17064] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Affiliation(s)
- Xiang Zhang
- Department of Chemical and Biological Engineering The Hong Kong University of Science and Technology, Clear Water Bay Hong Kong China
| | - Teng Zhou
- Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany
- Process Systems Engineering Otto‐von‐Guericke University Magdeburg Magdeburg Germany
| | - Ka Ming Ng
- Department of Chemical and Biological Engineering The Hong Kong University of Science and Technology, Clear Water Bay Hong Kong China
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15
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Calvo F, Gómez JM, Ricardez-Sandoval L, Alvarez O. Integrated design of emulsified cosmetic products: A review. Chem Eng Res Des 2020. [DOI: 10.1016/j.cherd.2020.07.014] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
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16
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Mencarelli L, Chen Q, Pagot A, Grossmann IE. A review on superstructure optimization approaches in process system engineering. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.106808] [Citation(s) in RCA: 71] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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17
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Zhang X, Zhang L, Fung KY, Bakshi BR, Ng KM. Sustainable product design: A life-cycle approach. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115508] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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18
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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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19
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Zhang L, Mao H, Liu Q, Gani R. Chemical product design – recent advances and perspectives. Curr Opin Chem Eng 2020. [DOI: 10.1016/j.coche.2019.10.005] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
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20
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A PSE perspective for the efficient production of monoclonal antibodies: integration of process, cell, and product design aspects. Curr Opin Chem Eng 2020. [DOI: 10.1016/j.coche.2020.01.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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21
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Computer-aided molecular and processes design based on quantum chemistry: current status and future prospects. Curr Opin Chem Eng 2020. [DOI: 10.1016/j.coche.2019.11.007] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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22
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Gani R, Bałdyga J, Biscans B, Brunazzi E, Charpentier JC, Drioli E, Feise H, Furlong A, Van Geem KM, de Hemptinne JC, ten Kate AJ, Kontogeorgis GM, Manenti F, Marin GB, Mansouri SS, Piccione PM, Povoa A, Rodrigo MA, Sarup B, Sorensen E, Udugama IA, Woodley JM. A multi-layered view of chemical and biochemical engineering. Chem Eng Res Des 2020. [DOI: 10.1016/j.cherd.2020.01.008] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
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23
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Uhlemann J, Costa R, Charpentier JC. Product design and engineering — past, present, future trends in teaching, research and practices: academic and industry points of view. Curr Opin Chem Eng 2020. [DOI: 10.1016/j.coche.2019.10.003] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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24
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Liu Q, Zhang L, Tang K, Feng Y, Zhang J, Zhuang Y, Liu L, Du J. Computer-aided reaction solvent design considering inertness using group contribution-based reaction thermodynamic model. Chem Eng Res Des 2019. [DOI: 10.1016/j.cherd.2019.09.018] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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25
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Friedler F, Aviso KB, Bertok B, Foo DCY, Tan RR. Prospects and challenges for chemical process synthesis with P-graph. Curr Opin Chem Eng 2019. [DOI: 10.1016/j.coche.2019.08.007] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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26
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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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28
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Song Z, Zhou T, Qi Z, Sundmacher K. Extending the UNIFAC model for ionic liquid–solute systems by combining experimental and computational databases. AIChE J 2019. [DOI: 10.1002/aic.16821] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Zhen Song
- Process Systems Engineering Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany
- Process Systems Engineering Otto‐von‐Guericke University Magdeburg Magdeburg Germany
| | - Teng Zhou
- Process Systems Engineering Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany
- Process Systems Engineering Otto‐von‐Guericke University Magdeburg Magdeburg Germany
| | - Zhiwen Qi
- Max Planck Partner Group at the State Key Laboratory of Chemical Engineering School of Chemical Engineering, East China University of Science and Technology Shanghai China
| | - Kai Sundmacher
- Process Systems Engineering Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany
- Process Systems Engineering Otto‐von‐Guericke University Magdeburg Magdeburg Germany
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29
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Abstract
An intensified three-step reaction-separation process for the production of bio-jet diesel from tryglycerides and petro-diesel mixtures is proposed. The intensified reaction-separation process considers three sequentially connected sections: (1) a triglyceride hydrolysis section with a catalytic heterogeneous reactor, which is used to convert the triglycerides of the vegetable oils into the resultant fatty acids. The separation of the pure fatty acid from glycerol and water is performed by a three-phase flash drum and two conventional distillation columns; (2) a co-hydrotreating section with a reactive distillation column used to perform simultaneously the deep hydrodesulphurisation (HDS) of petro-diesel and the hydrodeoxigenation (HDO), decarbonylation and decarboxylation of the fatty acids; and (3) an isomerization-cracking section with a hydrogenation catalytic reactor coupled with a two-phase flash drum is used to produce bio-jet diesel with the suitable fuel features required by the international standards. Intensive simulations were carried out and the effect of several operating variables of the three sections (triglyceride-water feed ratio, oleic acid-petro-diesel feed ratio, hydrogen consumption) on the global intensified process was studied and the optimal operating conditions of the intensified process for the production of bio-jet diesel were achieved.
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Liang X, Zhang X, Zhang L, Liu L, Du J, Zhu X, Ng KM. Computer-Aided Polymer Design: Integrating Group Contribution and Molecular Dynamics. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b02769] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Xinyuan Liang
- Institute of Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian, 116024, China
| | - Xiang Zhang
- Department of Chemical and Biomolecular Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - Lei Zhang
- Institute of Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian, 116024, China
| | - Linlin Liu
- Institute of Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian, 116024, China
| | - Jian Du
- Institute of Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian, 116024, China
| | - Xiuling Zhu
- State Key Lab of Fine Chemicals, Department of Polymer Science & Materials, Dalian University of Technology, Dalian, 116024, China
| | - Ka Ming Ng
- Department of Chemical and Biomolecular Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
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31
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Jørgensen SB, Lind M, Jensen N. Functional Modeling View on Product and Process Engineering in Design and Operations. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.8b06338] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Sten Bay Jørgensen
- Department of Chemical and Biochemical Engineering, Technical University of Denmark, DK-2800 Kgs., Lyngby, Denmark
| | - Morten Lind
- Department of Electrical Engineering, Technical University of Denmark, DK-2800 Kgs., Lyngby, Denmark
| | - Niels Jensen
- Safepark, Kannikestræde 14, DK-3550 Slangerup, Denmark
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34
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35
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Liu Q, Zhang L, Liu L, Du J, Tula AK, Eden M, Gani R. OptCAMD: An optimization-based framework and tool for molecular and mixture product design. Comput Chem Eng 2019. [DOI: 10.1016/j.compchemeng.2019.01.006] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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36
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Abstract
Products from chemical engineering are essential for human well-being, but they also contribute to the degradation of ecosystem goods and services that are essential for sustaining all human activities. To contribute to sustainability, chemical engineering needs to address this paradox by developing chemical products and processes that meet the needs of present and future generations. Unintended harm of chemical engineering has usually appeared outside the discipline's traditional system boundary due to shifting of impacts across space, time, flows, or disciplines, and exceeding nature's capacity to supply goods and services. Being a subdiscipline of chemical engineering, process systems engineering (PSE) is best suited for ensuring that chemical engineering makes net positive contributions to sustainable development. This article reviews the role of PSE in the quest toward a sustainable chemical engineering. It focuses on advances in metrics, process design, product design, and process dynamics and control toward sustainability. Efforts toward contributing to this quest have already expanded the boundary of PSE to consider economic, environmental, and societal aspects of processes, products, and their life cycles. Future efforts need to account for the role of ecosystems in supporting industrial activities, and the effects of human behavior and markets on the environmental impacts of chemical products. Close interaction is needed between the reductionism of chemical engineering science and the holism of process systems engineering, along with a shift in the engineering paradigm from wanting to dominate nature to learning from it and respecting its limits.
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Affiliation(s)
- Bhavik R Bakshi
- Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, Ohio 43210, USA;
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37
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Gani R. Group contribution-based property estimation methods: advances and perspectives. Curr Opin Chem Eng 2019. [DOI: 10.1016/j.coche.2019.04.007] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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38
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Product design: Impact of government policy and consumer preference on company profit and corporate social responsibility. Comput Chem Eng 2018. [DOI: 10.1016/j.compchemeng.2018.06.026] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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39
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Kontogeorgis GM, Mattei M, Ng KM, Gani R. An Integrated Approach for the Design of Emulsified Products. AIChE J 2018. [DOI: 10.1002/aic.16363] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Georgios M. Kontogeorgis
- Dept. of Chemical and Biochemical Engineering; Technical University of Denmark; Søltofts Plads, Building 229, DK-2800 Kongens Lyngby Denmark
| | - Michele Mattei
- Dept. of Chemical and Biochemical Engineering; Technical University of Denmark; Søltofts Plads, Building 229, DK-2800 Kongens Lyngby Denmark
| | - Ka M. Ng
- Hong Hong University of Science and Technology
| | - Rafiqul Gani
- Dept. of Chemical and Biochemical Engineering; Technical University of Denmark; Søltofts Plads, Building 229, DK-2800 Kongens Lyngby Denmark
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40
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Zhang L, Mao H, Liu L, Du J, Gani R. A machine learning based computer-aided molecular design/screening methodology for fragrance molecules. Comput Chem Eng 2018. [DOI: 10.1016/j.compchemeng.2018.04.018] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Zhang L, Kalakul S, Liu L, Elbashir NO, Du J, Gani R. A Computer-Aided Methodology for Mixture-Blend Design. Applications to Tailor-Made Design of Surrogate Fuels. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.8b00775] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Lei Zhang
- Institute of Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China
| | - Sawitree Kalakul
- Department of Chemical Engineering, Auburn University, Auburn, Alabama 36849, United States
| | - Linlin Liu
- Institute of Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China
| | - Nimir O. Elbashir
- TEES Gas & Fuels Research Center, Texas A&M University at Qatar, 23874 Doha, Qatar
| | - Jian Du
- Institute of Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China
| | - Rafiqul Gani
- PSE for SPEED, Skyttemosen 6, DK-3450 Allerod, Denmark
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Mitsos A, Asprion N, Floudas CA, Bortz M, Baldea M, Bonvin D, Caspari A, Schäfer P. Challenges in process optimization for new feedstocks and energy sources. Comput Chem Eng 2018. [DOI: 10.1016/j.compchemeng.2018.03.013] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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Vooradi R, Bertran MO, Frauzem R, Anne SB, Gani R. Sustainable chemical processing and energy-carbon dioxide management: Review of challenges and opportunities. Chem Eng Res Des 2018. [DOI: 10.1016/j.cherd.2017.12.019] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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Zhang L, Fung KY, Zhang X, Fung HK, Ng KM. An integrated framework for designing formulated products. Comput Chem Eng 2017. [DOI: 10.1016/j.compchemeng.2017.05.014] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Anantasarn N, Suriyapraphadilok U, Babi DK. A computer-aided approach for achieving sustainable process design by process intensification. Comput Chem Eng 2017. [DOI: 10.1016/j.compchemeng.2017.02.025] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Chen Q, Grossmann I. Recent Developments and Challenges in Optimization-Based Process Synthesis. Annu Rev Chem Biomol Eng 2017; 8:249-283. [DOI: 10.1146/annurev-chembioeng-080615-033546] [Citation(s) in RCA: 103] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
This article first reviews recent developments in process synthesis and discusses some of the major challenges in the theory and practice in this area. Next, the article reviews key concepts in optimization-based conceptual design, namely superstructure representations, multilevel models, optimization methods, and modeling environments. A brief review of the synthesis of major subsystems and flowsheets is presented. Finally, the article closes with a critical assessment and future research challenges for the process synthesis area.
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Affiliation(s)
- Qi Chen
- Center for Advanced Process Decision Making, Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213
| | - I.E. Grossmann
- Center for Advanced Process Decision Making, Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213
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Abstract
Abstract
The nature of chemical product design problems is diverse and multidisciplinary. It involves many design issues such as project management, market study, product design, process design, and economic analysis for better organizing the product design project and achieving better products. This article provides an overview of chemical product design with a multidisciplinary hierarchical framework including all the design issues and tasks. Each of the design issues and tasks are introduced and discussed, methods and tools are summarized and compared, challenges and perspectives are presented to help the chemical product design researchers on finding more novel, innovative and sustainable products, by the combined effort from academia and industry to develop a systematic generic framework, and tools including product simulator, process simulator, database manager, modeling tool, and templates for design problems.
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Affiliation(s)
- Lei Zhang
- Department of Chemical and Biomolecular Engineering , The Hong Kong University of Science and Technology , Clear Water Bay , Hong Kong
- Institute of Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology , Dalian 116012 , China
| | - Ka Yip Fung
- Department of Chemical and Biomolecular Engineering , The Hong Kong University of Science and Technology , Clear Water Bay , Hong Kong
| | - Christianto Wibowo
- ClearWaterBay Technology, 4000 Valley Blvd., Suite 100 , Pomona, CA 91789 , USA
| | - Rafiqul Gani
- Department of Chemical and Biochemical Engineering , Technical University of Denmark , Lyngby DK-2800 , Denmark
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Gani R, Zhang L, Kalakul S, Cignitti S. Computer-Aided Molecular Design and Property Prediction. COMPUTER AIDED CHEMICAL ENGINEERING 2016. [DOI: 10.1016/b978-0-444-63683-6.00006-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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