Enterprise-wide sustainability involves aspects from molecular-scale design to macroscale
facilities. Typically, these aspects are treated as independent sub-problems. Maintaining …

The application of white box models in digital twins is often hindered by missing knowledge,
uncertain information and computational difficulties. Our aim was to overview the difficulties …

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 …

The competitive, profitable, and safe operation of chemical plants depends on tight and
effective coordination among the different decision making levels of the enterprise, including …

The off-grid multiple energy system offers a promising way for energy supply due to its
advantages of independency, multi energy co-generation, high efficiency and local …

Deep learning models are a class of approximate models that are proven to have strong
predictive capabilities for representing complex phenomena. The introduction of deep …

Extreme events cause significant damage and disruption to the manufacturing sector,
associated supply chains, and adjacent communities. These disastrous shocks may include …

The inevitable presence of uncertain parameters in critical applications of process
optimization can lead to undesirable or infeasible solutions. For this reason, optimization …

As a founder of the Process Systems Engineering (PSE) discipline, Professor Roger WH
Sargent had set ambitious goals for a systematic new generation of a process design …

Surrogate models are used to map input data to output data when the actual relationship
between the two is unknown or computationally expensive to evaluate for several …