scholarly journals Journey Making: Applying PSE Principles to Complex Curriculum Designs

Processes ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 373
Author(s):  
Ian Cameron ◽  
Greg Birkett

Since the 1950s, Process Systems Engineering (PSE) concepts have traditionally been applied to the process industries, with great effect and with significant benefit. However, the same general approaches and principles in designing complex process designs can be applied to the design of higher education (HE) curricula. Curricula represent intended learning journeys, these being similar to the design of process flowsheets. In this paper, we set out the formal framework and concepts that underlie the challenges in design of curricula. The approaches use generic and fundamental concepts that can be applied by any discipline to curriculum design. We show how integration of discipline-specific concepts, across time and space, can be combined through design choices, to create learning journeys for students. These concepts are captured within a web-based design tool that permits wide choices for designers to build innovative curricula. The importance of visualization of curricula is discussed and illustrated, using a range of tools that permit insight into the nature of the designs. The framework and tool presented in this paper have been widely used across many disciplines, such as science, engineering, nursing, philosophy and pharmacy. As a special issue in memory of Professor Roger W.H. Sargent; we show these new developments in curriculum design are similar to the development of process flowsheets. Professor Sargent was not only an eminent research leader and pioneer, but an influential educator who gave rise to a new area in Chemical Engineering, influencing its many directions for more than 50 years.

2021 ◽  
Vol 2 ◽  
Author(s):  
Can Li ◽  
Ignacio E. Grossmann

Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent advances of a risk-neutral mathematical framework called “stochastic programming” and its applications in solving process systems engineering problems under uncertainty. This review intends to provide both a tutorial for beginners without prior experience and a high-level overview of the current state-of-the-art developments for experts in process systems engineering and stochastic programming. The mathematical formulations and algorithms for two-stage and multistage stochastic programming are reviewed with illustrative examples from process industries. The differences between stochastic programming under exogenous uncertainty and endogenous uncertainties are discussed. The concepts and several data-driven methods for generating scenario trees are also reviewed.


Processes ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 405
Author(s):  
Rafiqul Gani ◽  
Ian Cameron

In September 2018, the global chemical engineering community lost a true pioneer in the field [...]


Author(s):  
Bhavik R. Bakshi

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.


2020 ◽  
Author(s):  
Thomas Marlin ◽  
Andrew Hrymak ◽  
John MacGregor ◽  
Vladimir Mahalec ◽  
Prashant Mhaskar ◽  
...  

2014 ◽  
Vol 625 ◽  
pp. 454-457 ◽  
Author(s):  
Jiří Jaromír Klemeš ◽  
Petar Sabev Varbanov ◽  
Peng Yen Liew ◽  
Lidija Čuček ◽  
Zdravko Kravanja ◽  
...  

Heat Integration (HI) has been developing in mutual cross-fertilisation with the industrial implementations over the last forty years. From the beginning, HI offered some guidance based on thermodynamic principles and their understanding. However, a number of aspects still need deeper consideration and solved problems have to be considered in more complexity to include the real-life issues. This presentation summarises the results of the three efficiently collaborating research groups: Centre for Process Integration and Intensification - CPI2 at University of Pannonia, Hungary, Faculty of Chemistry and Chemical Engineering, University of Maribor, Slovenia and Process Systems Engineering Centre (PROSPECT) at Universiti Teknologi Malaysia. This team exploits the experiences gathered from the industrial projects as well as from the most recent academic research. The aim of this presentation is to provide some tested and proven guidance for future industrial applications as well as a solid support for getting the results with acceptable and realistic payback periods.


Author(s):  
Christodoulos A. Floudas

Filling a void in chemical engineering and optimization literature, this book presents the theory and methods for nonlinear and mixed-integer optimization, and their applications in the important area of process synthesis. Other topics include modeling issues in process synthesis, and optimization-based approaches in the synthesis of heat recovery systems, distillation-based systems, and reactor-based systems. The basics of convex analysis and nonlinear optimization are also covered and the elementary concepts of mixed-integer linear optimization are introduced. All chapters have several illustrations and geometrical interpretations of the material as well as suggested problems. Nonlinear and Mixed-Integer Optimization will prove to be an invaluable source--either as a textbook or a reference--for researchers and graduate students interested in continuous and discrete nonlinear optimization issues in engineering design, process synthesis, process operations, applied mathematics, operations research, industrial management, and systems engineering.


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