Modeling and simulation of electrochemical reactors (ECRs) by computational fluid
dynamics (CFD) techniques have been increasing during the last fifteen years. The need to …

Artificial intelligence (AI) has received a lot of attention with many publications in recent
years. Interestingly related projects in the industry are mostly still in their early stages. We …

A membrane reactor for steam methane reforming heated by molten salt (MS-SMRMR) is
studied based on finite time thermodynamics for decreasing carbon emissions and …

Bayesian Optimization is a useful tool for experiment design. Unfortunately, the classical,
sequential setting of Bayesian Optimization does not translate well into laboratory …

A well-known method for the environmental impact analysis of the chemical processes, life
cycle assessment (LCA) has several limitations to apply to the process design and …

Surrogate-assisted evolutionary algorithms (SAEAs) have been widely used for solving
complex and computationally expensive optimization problems. However, most of the …

This study mainly focuses on determining the optimal configuration that efficiently utilizes
liquefied natural gas (LNG) cold energy in hydrogen precooling for liquid hydrogen …

The mixing process in a mechanically agitated vessel is a widespread phenomenon which
plays an important role among industrial processes. In that process, one of the crucial …

Electrical tomography is a non-invasive method of monitoring the interior of objects, which is
used in various industries. In particular, it is possible to monitor industrial processes inside …

The article presents an innovative concept of improving the monitoring and optimization of
industrial processes. The developed method is based on a system of many separately …