The chemical processing industry has relied on modeling techniques for process monitoring,
control, diagnosis, optimization, and design, especially since the third industrial revolution …

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 …

This study analyzes the factors leading to the deployment of Power-to-Hydrogen (PtH 2)
within the optimal design of district-scale Multi-Energy Systems (MES). To this end, we utilize …

The food security challenge has become a major concern for many countries and regions in
the light of changing climatic conditions, unpredictable political instabilities and increasing …

This tutorial and review of multi-objective optimization (MOO) gives a detailed explanation of
the 5 steps to create, solve, and then select the optimum result. Unlike single-objective …

Optimization in chemical engineering often involves two or more objectives, which are
conflicting. Multiobjective optimization (MOO) generates a set of equally good solutions from …

Multi-objective optimization (MOO) is frequently used to solve many practical problems of
chemical processes but process designers only need a limited number of valuable solutions …

Multi-generation energy systems could mitigate global energy consumption, carbon
emissions and economic costs. The promising energy, environmental and economic …

Reliable access to clean and affordable energy is a prerequisite to socio-economic
progress. Meeting the global energy demand in the face of a burgeoning population and …

Detailed numerical simulations of detailed combustion systems require substantial
computational resources, which limit their use for optimization and uncertainty quantification …