Artificial Intelligence in Process Systems Engineering
Artificial Intelligence in Process Systems Engineering
Artificial Intelligence in Process Systems Engineering is a didactic reference book on the application of machine learning and AI algorithms for the modelling, simulation and analysis of chemical process systems. It starts introducing the problems and examples where ML and AI can help to model and understand complex process systems engineering, then an overview of the major ML and AI algorithms are presented along with recent developments. Data collection, treatment and analysis is covered as a key step in the use of ML and AI. Applications of the main methods are exemplified with case studies for typical chemical processes in the industry and new processes under development for biomasss conversion into fuels and chemicals. Typical applications include modelling feedstock and product properties, estimation of raw material availability, modelling unit operations such as chemical reactors, distillation columns and process modules.
Martinez Hernandez, Elias
| ISBN | 9783111501253 |
|---|---|
| Media type | Book |
| Copyright year | 2026 |
| Publisher | De Gruyter |
| Illustrations | 25 b/w and 25 col. ill., 50 b/w tbl. |
| Language | English |
