TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Robust data reconciliation of combustion variables in multi-fuel fired industrial boilers

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Sivut101-115
Sivumäärä15
JulkaisuControl Engineering Practice
Vuosikerta55
DOI - pysyväislinkit
TilaJulkaistu - 21 heinäkuuta 2016
OKM-julkaisutyyppiA1 Alkuperäisartikkeli

Tiivistelmä

This paper introduces an application of simultaneous nonlinear data reconciliation and gross error detection for power plants utilizing a complex but computationally light first principle combustion model. Element and energy balances and robust techniques introduce nonlinearity and the consequent optimization problem is solved using nonlinear optimization. Data reconciliation improves estimation of process variables and enables improved sensor quality control and identification of process anomalies. The approach was applied to an industrial 200 MWth fluidized bed boiler combusting wood, peat, bark, and slurry. The results indicate that the approach is valid and is able to perform in various process conditions. As the combustion model is generic, the method is applicable in any boiler environment.