Process intensification offers the potential to drastically reduce the energy consumption and
cost of producing chemicals from both bulk and distributed feedstocks. This review article …

It is well-documented how artificial intelligence can have (and already is having) a big
impact on chemical engineering. But classical machine learning approaches may be weak …

Energy is a key driver of the modern economy, therefore modeling and simulation of energy
systems has received significant research attention. We review the major developments in …

One of the key components of chemical plant operability is flexibility—the ability to operate
over a range of conditions while satisfying performance specifications. A general framework …

In this paper, we provide a general classification of mathematical optimization problems,
followed by a matrix of applications that shows the areas in which these problems have …

Optimization under uncertainty has been an active area of research for many years.
However, its application in Process Systems Engineering has faced a number of important …

It is shown in this paper that by exploiting properties of limiting constraints for flexibility in a
design, problems for flexibility analysis can be formulated as mixed-integer optimization …

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 …

Deterministic optimization approaches have been well developed and widely used in the
process industry to accomplish off-line and on-line process optimization. The challenging …

The main bottleneck in using optimization at the industrial level is the presence of
uncertainty in the form of model mismatch and disturbances. The way uncertainty can be …