| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 171987 | Computers & Chemical Engineering | 2016 | 4 Pages |
Abstract
•A new approach to stochastic reduced order model.•Application of large scale power plant, an IGCC system model.•Approach based on statistical reweighting scheme.•Comparison with neural network based reduced order model.
This short note presents a new method for stochastic reduced order (SROM) model based on BONUS reweighting scheme. An illustrative case study of IGCC power plant compares the new method with the neural network based reduced order model. The new method shows promising results.
Keywords
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Chemical Engineering (General)
Authors
Kinnar Sen, Urmila Diwekar,