A new approach to stochastic reduced order modeling
Journal Article
·
· Computers and Chemical Engineering
- University of Illinois, Chicago, IL (United States)
- University of Illinois, Chicago, IL (United States); Vishwamitra Research Institute, Crystal Lake, IL (United States)
Here 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.
- Research Organization:
- Univ. of Illinois at Urbana-Champaign, IL (United States); University of Illinois, Chicago, IL (United States)
- Sponsoring Organization:
- USDOE Office of Fossil Energy (FE); USDOE
- Grant/Contract Number:
- FE0011227
- OSTI ID:
- 1533671
- Alternate ID(s):
- OSTI ID: 1397362
- Journal Information:
- Computers and Chemical Engineering, Vol. 93, Issue C; ISSN 0098-1354
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Cited by: 1 work
Citation information provided by
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Web of Science
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