scholarly journals From conceptual design to process design optimization: a review on flowsheet synthesis

2019 ◽  
Vol 74 ◽  
pp. 80 ◽  
Author(s):  
Ludovic Montastruc ◽  
Ségolène Belletante ◽  
Alexandre Pagot ◽  
Stéphane Negny ◽  
Ludovic Raynal
Keyword(s):  
Conceptual Design ◽  
Systems Engineering ◽  
Process Design ◽  
Process Synthesis ◽  
Future Research ◽  
Plant Design ◽  
Process Systems ◽  
Open Questions ◽  
The Difference ◽  
Inference Techniques

This paper presents the authors’ perspectives on some of the open questions and opportunities in Process Systems Engineering (PSE) focusing on process synthesis. A general overview of process synthesis is given, and the difference between Conceptual Design (CD) and Process Design (PD) is presented using an original ternary diagram. Then, a bibliometric analysis is performed to place major research team activities in the latter. An analysis of ongoing work is conducted and some perspectives are provided based on the analysis. This analysis includes symbolic knowledge representation concepts and inference techniques, i.e., ontology, that is believed to become useful in the future. Future research challenges that process synthesis will have to face, such as biomass transformation, shale production, response to spaceflight demand, modular plant design, and intermittent production of energy, are also discussed.

The reverse water gas shift reaction: a process systems engineering perspective

2021 ◽  
Author(s):  
Miriam González-Castaño ◽  
Bogdan Dorneanu ◽  
Harvey Arellano-García
Keyword(s):  
Systems Engineering ◽  
Process Design ◽  
Process Intensification ◽  
Industrial Applications ◽  
Catalytic Systems ◽  
Process Systems ◽  
Reverse Water Gas Shift ◽  
Reaction Thermodynamics ◽  
Rwgs Reaction ◽  
Shift Reaction

RWGS reaction thermodynamics, mechanisms and kinetics. Process design and process intensification – from lab scale to industrial applications and CO2 value chains. Pathways for further improvement of catalytic systems, reactor and process design.

Uncertainty in chemical process systems engineering: a critical review

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Seyedmehdi Sharifian ◽  
Rahmat Sotudeh-Gharebagh ◽  
Reza Zarghami ◽  
Philippe Tanguy ◽  
Navid Mostoufi
Keyword(s):  
Systems Engineering ◽  
Chemical Process ◽  
Single Step ◽  
Fault Detection And Diagnosis ◽  
Future Research ◽  
Accurate Analysis ◽  
Process Systems ◽  
Analysis And Evaluation ◽  
Optimum Planning ◽  
Detection And Diagnosis

Abstract Uncertainty or error occurs as a result of a lack or misuse of knowledge about specific topics or situations. In this review, we recall the differences between error and uncertainty briefly, first, and then their probable sources. Then, their identifications and management in chemical process design, optimization, control, and fault detection and diagnosis are illustrated. Furthermore, because of the large amount of information that can be obtained in modern plants, accurate analysis and evaluation of those pieces of information have undeniable effects on the uncertainty in the system. Moreover, the origins of uncertainty and error in simulation and modeling are also presented. We show that in a multidisciplinary modeling approach, every single step can be a potential source of uncertainty, which can merge into each other and generate unreliable results. In addition, some uncertainty analysis and evaluation methods are briefly presented. Finally, guidelines for future research are proposed based on existing research gaps, which we believe will pave the way to innovative process designs based on more reliable, efficient, and feasible optimum planning.

scholarly journals Advances in Energy Systems Engineering and Process Systems Engineering in China—A Review Starting from Sargent’s Pioneering Work

Processes ◽  
2019 ◽  
Vol 7 (6) ◽  
pp. 350
Author(s):  
Wenhan Qian ◽  
Pei Liu ◽  
Zheng Li
Keyword(s):  
Nonlinear Programming ◽  
Conceptual Design ◽  
Optimum Design ◽  
Systems Engineering ◽  
Future Development ◽  
Energy Systems ◽  
Process Systems Engineering ◽  
Process Systems ◽  
Research Communities ◽  
The World

Process systems engineering (PSE), after being proposed by Sargent and contemporary researchers, has been fast developing in various domains and research communities around the world in the last couple of decades, with energy systems engineering featuring a typical yet still fast propagating domain, and the Chinese PSE community featuring a typical community with its own unique challenges for applying PSE theory and methods. In this paper, development of energy systems engineering and process systems engineering in China is discussed, and Sargent’s impacts on these two fields are the main focus. Pioneering work conducted by Sargent is firstly discussed. Then, a venation on how his work and thoughts have motivated later researchers and led to progressive advances is reviewed and analyzed. It shows that Sargent’s idea of optimum design and his work on nonlinear programming and superstructure modelling have resulted in well-known methods that are widely adopted in energy systems engineering and PSE applications in tackling problems in China. Following Sargent’s pioneering ideas and conceptual design of the PSE mansion, future development directions of energy systems engineering are also discussed.

scholarly journals Towards the Grand Unification of Process Design, Scheduling, and Control—Utopia or Reality?

Processes ◽  
2019 ◽  
Vol 7 (7) ◽  
pp. 461 ◽  
Author(s):  
Baris Burnak ◽  
Nikolaos A. Diangelakis ◽  
Efstratios N. Pistikopoulos
Keyword(s):  
Systems Engineering ◽  
Process Design ◽  
Optimization Techniques ◽  
Grand Unification ◽  
Multiple Time Scales ◽  
Future Research ◽  
Multiple Time ◽  
Conflicting Objectives ◽  
And Control ◽  
Design Scheduling

As a founder of the Process Systems Engineering (PSE) discipline, Professor Roger W.H. Sargent had set ambitious goals for a systematic new generation of a process design paradigm based on optimization techniques with the consideration of future uncertainties and operational decisions. In this paper, we present a historical perspective on the milestones in model-based design optimization techniques and the developed tools to solve the resulting complex problems. We examine the progress spanning more than five decades, from the early flexibility analysis and optimal process design under uncertainty to more recent developments on the simultaneous consideration of process design, scheduling, and control. This formidable target towards the grand unification poses unique challenges due to multiple time scales and conflicting objectives. Here, we review the recent progress and propose future research directions.

Adaptable Navigation in a SCORM Compliant Learning Module

2008 ◽  
pp. 1508-1522
Author(s):  
Boris Gauss ◽  
Leon Urbas
Keyword(s):  
Steady State ◽  
Systems Engineering ◽  
Future Research ◽  
Process Systems Engineering ◽  
Process Systems ◽  
Learning Modules ◽  
Learning Module ◽  
Technological Standard ◽  
The Subject

This chapter is about the use of metaphors and adaptable navigation in the context of the technological standard SCORM. Our theoretical focus is on hypertext navigation in SCORM compliant learning modules and the potential of adaptable navigation metaphors within this standard. In the empirical section, we present a case study about navigation design and usability evaluation of a learning module prototype. This learning module was developed for the subject matter of steady-state modelling in process systems engineering, and features an adaptable navigation with a novel process control metaphor. We conclude with a discussion on the didactical value of navigation metaphors and adaptability in SCORM, and provide some suggestions for future research in this area.

scholarly journals Work and heat integration—A new field in process synthesis and process systems engineering

AIChE Journal ◽  
2018 ◽  
Vol 65 (7) ◽  
pp. e16477 ◽  
Author(s):  
Haoshui Yu ◽  
Chao Fu ◽  
Matias Vikse ◽  
Truls Gundersen
Keyword(s):  
Systems Engineering ◽  
Process Synthesis ◽  
Heat Integration ◽  
Process Systems Engineering ◽  
Process Systems

Adaptable Navigation in a SCORM Compliant Learning Module

2006 ◽  
pp. 203-224
Author(s):  
Boris Gauss ◽  
Boris Urbas
Keyword(s):  
Steady State ◽  
Systems Engineering ◽  
Future Research ◽  
Process Systems Engineering ◽  
Process Systems ◽  
Learning Modules ◽  
Learning Module ◽  
Technological Standard ◽  
The Subject

This chapter is about the use of metaphors and adaptable navigation in the context of the technological standard SCORM. Our theoretical focus is on hypertext navigation in SCORM compliant learning modules and the potential of adaptable navigation metaphors within this standard. In the empirical section, we present a case study about navigation design and usability evaluation of a learning module prototype. This learning module was developed for the subject matter of steady-state modelling in process systems engineering, and features an adaptable navigation with a novel process control metaphor. We conclude with a discussion on the didactical value of navigation metaphors and adaptability in SCORM, and provide some suggestions for future research in this area.

scholarly journals Multiparametric Programming in Process Systems Engineering: Recent Developments and Path Forward

2021 ◽  
Vol 2 ◽  
Author(s):  
Iosif Pappas ◽  
Dustin Kenefake ◽  
Baris Burnak ◽  
Styliani Avraamidou ◽  
Hari S. Ganesh ◽  
...  
Keyword(s):  
Systems Engineering ◽  
Optimal Solution ◽  
Parametric Uncertainty ◽  
Optimal Decision ◽  
Future Research ◽  
Uncertain Parameters ◽  
Process Systems Engineering ◽  
Process Systems ◽  
Multiparametric Programming ◽  
The Impact

The inevitable presence of uncertain parameters in critical applications of process optimization can lead to undesirable or infeasible solutions. For this reason, optimization under parametric uncertainty was, and continues to be a core area of research within Process Systems Engineering. Multiparametric programming is a strategy that offers a holistic perspective for the solution of this class of mathematical programming problems. Specifically, multiparametric programming theory enables the derivation of the optimal solution as a function of the uncertain parameters, explicitly revealing the impact of uncertainty in optimal decision-making. By taking advantage of such a relationship, new breakthroughs in the solution of challenging formulations with uncertainty have been created. Apart from that, researchers have utilized multiparametric programming techniques to solve deterministic classes of problems, by treating specific elements of the optimization program as uncertain parameters. In the past years, there has been a significant number of publications in the literature involving multiparametric programming. The present review article covers recent theoretical, algorithmic, and application developments in multiparametric programming. Additionally, several areas for potential contributions in this field are discussed, highlighting the benefits of multiparametric programming in future research efforts.

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