Journal
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
Volume 51, Issue 19, Pages 6926-6932Publisher
AMER CHEMICAL SOC
DOI: 10.1021/ie202619d
Keywords
-
Categories
Funding
- Major State Basic Research Development Program of China [2012CB720500]
- National Natural Science Foundation of China [U1162202, 61174118]
- 111 Project [B08021]
- Shanghai Leading Academic Discipline Project [B504]
Ask authors/readers for more resources
A hybrid modeling approach for an ethylene oxidation reactor with silver catalyst is proposed. Under the form of mechanistic model, support vector regression is used to construct the catalyst deactivation model with the operating data coming from real plant. Prior knowledge is extracted to enhance the generalization of the deactivation model. With the hybrid model, the prediction error is less than 5% for the prediction of industrial reactor. The approach is shown to predict the production more accurately and have more reliable extrapolation.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available