English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

Global optimization of distillation columns using explicit and implicit surrogate models

MPS-Authors
/persons/resource/persons136436

McBride,  Kevin
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons86497

Sundmacher,  Kai
Otto-von-Guericke-Universität Magdeburg, External Organizations;
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons86359

Kienle,  Achim
Otto-von-Guericke-Universität Magdeburg, External Organizations;
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

kessler_ams_paper.pdf
(Postprint), 521KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Keßler, T., Kunde, C., McBride, K., Mertens, N., Michaels, D., Sundmacher, K., et al. (2019). Global optimization of distillation columns using explicit and implicit surrogate models. Chemical Engineering Science, 197, 235-245. doi:10.1016/j.ces.2018.12.002.


Cite as: https://hdl.handle.net/21.11116/0000-0002-F351-0
Abstract
There is no abstract available