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Data-Driven Thermal Efficiency Modeling and Optimization for Multi-fuel Boiler
| Content Provider | Semantic Scholar |
|---|---|
| Author | Jian, G. D. Shyan, Shu Shieh Wong, David Shan Hill |
| Copyright Year | 2013 |
| Abstract | A data-driven modeling and optimization scheme for thermal efficiency is developed based on the real operation data from a multi-fuel boiler. The plant input variables are transformed into the derived variables, which are physically and statistically meaningful for modeling. Then, this study proposed an adaptive modeling approach by employing nonnegative garrote variable selection and auto-regression integrated moving average correction. The high accuracy of the proposed modeling approaches makes the implementation of the model-based control of ratio of air to fuel for improving boiler’s efficiency readily practicable. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.sps.utm.my/download/PSEAsia2013-132.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
