Abstract
The paper presents mathematical modelling of steam boilers by the usage of regression modelling techniques for the purpose of thermal diagnostic systems and exploitation optimization. In order to correct unavoidable measurement errors and to achieve the satisfying prediction quality of developed models Advanced Data Validation and Reconciliation method has been used. The estimation procedure of model parameters and determination of optimal structure of developed model have been carried out with stepwise regression technique. Within estimation procedure, operational measurements as well as simulation calculation results (with usage of mathematical models) have been used. The results related to identification of coal dust fired boiler, stoker-fired boiler as well as multi fuel industrial boiler energy characteristics have been presented. The usage of developed models have been described from the thermal diagnostic systems as well as exploitation optimization point of view.
| Translated title of the contribution | IDENTIFICATION OF STEAM BOILERS ENERGY CHARACTERISTIC FOR PURPOSE OF THERMAL DIAGNOSTIC SYSTEMS AND EXPLOATATION OPTIMIZATION |
|---|---|
| Original language | Polish |
| Pages (from-to) | 30-35 |
| Number of pages | 6 |
| Journal | Rynek Energii |
| Volume | 2019 |
| Issue number | 3 |
| Publication status | Published - 2019 |
ASJC Scopus subject areas
- General Mathematics
- General Energy
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