A General Framework for Process Synthesis, Integration, and Intensification

被引:31
作者
Demirel, Salih Emre [1 ]
Li, Jianping [1 ]
Hasan, M. M. Faruque [1 ]
机构
[1] Texas A&M Univ, Artie McFerrin Dept Chem Engn, College Stn, TX 77843 USA
基金
美国国家科学基金会;
关键词
CONCEPTUAL PROCESS SYNTHESIS; CHEMICAL-PROCESSES; NETWORK SYNTHESIS; HEAT INTEGRATION; PROCESS DESIGN; SUPERSTRUCTURE; OPTIMIZATION; METHODOLOGY; SYSTEMS; MODELS;
D O I
10.1021/acs.iecr.8b05961
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Process synthesis, integration, and intensification are the three pillars of process design. Current synthesis and integration methods are able to find optimal design targets and process configurations when all the alternatives are known beforehand. Process intensification, on the other hand, combines multiple physicochemical phenomena and exploits their interactions to create innovative designs. Often times, these designs are not known beforehand, and a phenomena-level representation of chemical processes are required to identify them. This disconnection between the three paradigms limits the ability to systematically discover optimal design pathways. We demonstrate that the building block representation, originally proposed in our earlier work on process intensification (Demirel, Li, and Hasan, Comput. Chem. Eng., 2017, 150, 2-38), has the potential to bridge this gap. Depending on the attributes assigned to the interior and the boundaries of these two-dimensional abstract building blocks, they can represent various intensified or isolated phenomena at the lowest level, various tasks at the equipment level, and various unit operations at the flowsheet level. This common multiscale representation enables an mixed-integer nonlinear optimization-based single framework for the sequential or simultaneous synthesis, integration, and intensification of chemical processes. Such a general framework is critical to reduce the risk of eliminating potential intensification pathways and candidate flowsheets at the conceptual design stage. The framework is demonstrated using a case study on an ethylene glycol process.
引用
收藏
页码:5950 / 5967
页数:18
相关论文
共 72 条
  • [1] A SUPERSTRUCTURE BASED APPROACH TO CHEMICAL REACTOR NETWORK SYNTHESIS
    ACHENIE, LKE
    BIEGLER, LT
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 1990, 14 (01) : 23 - 40
  • [2] AGREDA VH, 1990, CHEM ENG PROG, V86, P40
  • [3] Kinetics of the Hydration of Ethylene Oxide in the Presence of Heterogeneous Catalyst
    Altiokka, Mehmet Riza
    Akyalcin, Sema
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2009, 48 (24) : 10840 - 10844
  • [4] Phenomena-based modularisation of chemical process models to approach intensive options
    Arizmendi-Sanchez, J. A.
    Sharratt, P. N.
    [J]. CHEMICAL ENGINEERING JOURNAL, 2008, 135 (1-2) : 83 - 94
  • [5] Sustainable process synthesis intensification
    Babi, Deenesh K.
    Holtbruegge, Johannes
    Lutze, Philip
    Gorak, Andrzej
    Woodley, John M.
    Gani, Rafiqul
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 2015, 81 : 218 - 244
  • [6] A process synthesis-intensification framework for the development of sustainable membrane-based operations
    Babi, Deenesh K.
    Lutze, Philip
    Woodley, John M.
    Gani, Rafiqul
    [J]. CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION, 2014, 86 : 173 - 195
  • [7] Simulation and optimization of reforming reactors for carbon dioxide utilization using both rigorous and reduced models
    Balasubramanian, Priyadarshini
    Bajaj, Ishan
    Hasan, M. M. Faruque
    [J]. JOURNAL OF CO2 UTILIZATION, 2018, 23 : 80 - 104
  • [8] From process integration to process intensification
    Baldea, Michael
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 2015, 81 : 104 - 114
  • [9] Process Intensification in Practice: Ethylene Glycol Case Study
    Barecka, Magda H.
    Skiborowski, Mirko
    Gorak, Andrzej
    [J]. PRACTICAL ASPECTS OF CHEMICAL ENGINEERING, 2018, : 17 - 34
  • [10] A generic methodology for processing route synthesis and design based on superstructure optimization
    Bertran, Maria-Ona
    Frauzem, Rebecca
    Sanchez-Arcilla, Ana-Sofia
    Zhang, Lei
    Woodley, John M.
    Gani, Rafiqul
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 2017, 106 : 892 - 910