A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Iterative Process Design with Surrogate‐Assisted Global Flowsheet Optimization
Flowsheet optimization is an important part of process design where commercial process simulators are widely used, due to their extensive library of models and ease of use. However, the application of a framework for global flowsheet optimization upon them is computationally expensive. Based on machine learning methods, we added mechanisms for rejection and generation of candidates to a framework for global flowsheet optimization. These extensions halve the amount of time needed for optimization such that the integration of the framework in a workflow for iterative process design becomes applicable.
Iterative Process Design with Surrogate‐Assisted Global Flowsheet Optimization
Flowsheet optimization is an important part of process design where commercial process simulators are widely used, due to their extensive library of models and ease of use. However, the application of a framework for global flowsheet optimization upon them is computationally expensive. Based on machine learning methods, we added mechanisms for rejection and generation of candidates to a framework for global flowsheet optimization. These extensions halve the amount of time needed for optimization such that the integration of the framework in a workflow for iterative process design becomes applicable.
Iterative Process Design with Surrogate‐Assisted Global Flowsheet Optimization
Janus, Tim (author) / Engell, Sebastian (author)
Chemie Ingenieur Technik ; 93 ; 2019-2028
2021-12-01
10 pages
Article (Journal)
Electronic Resource
English
Short SRT Nitrification Process/Flowsheet
| British Library Conference Proceedings | 1998
Parallel surrogate-assisted global optimization with expensive functions – a survey
| British Library Online Contents | 2016
Calcination Flowsheet Development
| NTIS | 1978
Engineering design applications of surrogate-assisted optimization techniques
| Springer Verlag | 2012