Computer‐aided process intensification: Challenges, trends and opportunities

Tula, Anjan K.; Eden, Mario R.; Gani, Rafiqul

doi:10.1002/aic.16819

Cited by 39 publications

(21 citation statements)

References 74 publications

(111 reference statements)

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“…For the design of process intensified systems, to come up with potentially unknown innovative process solutions, phenomena‐based design approaches 25,26,32 have been advocated to represent chemical processes utilizing physicochemical building blocks (e.g., mass transfer, heat transfer) rather than equipment/flowsheet configurations. Examples of using such methods (e.g., Generalized Modular Representation Framework, GMF) to represent intensified reactive distillation and conventional reactor‐distillation‐recycle processes can be found in the Supporting Information Appendix A and Figure A.2.…”

Section: Research Opportunities and Perspectivesmentioning

confidence: 99%

“…As can be noted, a diversity of intensified and modular technologies are being investigated to address the dual challenge of energy productivity/efficiency and environmental sustainability, 30 for example, reactive distillation, 24 intensified reactors, 15 alternative energy sources, 14 and advanced materials 33 . Another rapidly emerging research theme is computer‐aided process intensification 11,32 . Early PI breakthroughs mostly relied on Edisonian efforts via experimentation 34 .…”

Section: Introductionmentioning

confidence: 99%

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Operability and control in process intensification and modular design: Challenges and opportunities

2021

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In this article, the importance of considering operability and control criteria in the analysis and design of intensified and modular processes is discussed. We first analyze the impact on operability of key factors including: (i) degrees of freedom, (ii) process constraints, (iii) numbering up vs. scaling up, and (iv) dynamic/periodic operation. Comparative examples are presented to showcase the pros and cons in intensified/modular systems vs. their conventional counterparts from operability and control aspects. Then we look into metrics and tools to address these challenges such as: (i) flexibility analysis, (ii) operability‐based design, and (iii) advanced model‐based control. Considering different conceptual design stages as synthesis intensification, steady‐state design, and dynamic operational optimization, we highlight the need to incorporate different levels of operability considerations. Future research opportunities and perspectives are also identified, particularly emphasizing the importance of a holistic strategy for integrated design, operability, and control of intensified and modular process systems.

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Section: Research Opportunities and Perspectivesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Operability and control in process intensification and modular design: Challenges and opportunities

2021

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“…• Intensification of chemical and biochemical processes will provide the means to develop novel more sustainable process alternatives (Stankiewicz and Yan, 2019). However, issues related to design and control of such multi-functional unit operations need to be addressed at different levels of aggregation, i.e., phenomena, task and unit operations levels through systematic approaches that allow identification of novel intensified alternatives (Tula et al, 2019). Rapid developments in lab-on-a-chip technology could lead to (micro/nano) sensors and measuring devices as well as high-speed analysis methods for single cell genomics, transcriptomic, and proteomics.…”

Section: Improvements Of Processes Based On Current Needsmentioning

confidence: 99%

A multi-layered view of chemical and biochemical engineering

Gani¹,

Bałdyga

Biscans

et al. 2020

Chemical Engineering Research and Design

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The contents of this article are based on the results of discussions the corresponding author has had since 2015 with the co-authors, who are members of academia and industry in Europe, on the scope and significance of chernical and biochernical engineering as a dis cipline. The result is a multi-layered view of chemical and biochemical engineering where the inner-layer deals with the fundamental principles and their application; the middle layer deals with consolidation and expansion of the principles through a combination of

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“…By separating model logical structure from the underlying algebraic descriptions, GDP reduces the work necessary to revise a model. In doing so, it aims to advance the state-of-the-art in process design [26,[29][30][31][32]. Later, we also show how GDP can help manage model variants.…”

Section: Introductionmentioning

confidence: 96%

Modern Modeling Paradigms Using Generalized Disjunctive Programming

Chen

Grossmann

2019

Processes

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Models involving decision variables in both discrete and continuous domain spaces are prevalent in process design. Generalized Disjunctive Programming (GDP) has emerged as a modeling framework to explicitly represent the relationship between algebraic descriptions and the logical structure of a design problem. However, fewer formulation examples exist for GDP compared to the traditional Mixed-Integer Nonlinear Programming (MINLP) modeling approach. In this paper, we propose the use of GDP as a modeling tool to organize model variants that arise due to characterization of different sections of an end-to-end process at different detail levels. We present an illustrative case study to demonstrate GDP usage for the generation of model variants catered to process synthesis integrated with purchasing and sales decisions in a techno-economic analysis. We also show how this GDP model can be used as part of a hierarchical decomposition scheme. These examples demonstrate how GDP can serve as a useful model abstraction layer for simplifying model development and upkeep, in addition to its traditional usage as a platform for advanced solution strategies.

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Computer‐aided process intensification: Challenges, trends and opportunities

Cited by 39 publications

References 74 publications

Operability and control in process intensification and modular design: Challenges and opportunities

Operability and control in process intensification and modular design: Challenges and opportunities

A multi-layered view of chemical and biochemical engineering

Modern Modeling Paradigms Using Generalized Disjunctive Programming

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