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Publications in Scientific Journals:

L. Böhler, G Görtler, J. Krail, M. Kozek:
"Carbon monoxide emission models for small-scale biomass combustion of wooden pellets";
Applied Energy, 254 (2019), 113668; 12 pages.



English abstract:
Tighter legal emission limits require means to prevent releasing harmful substances into the atmosphere during
the combustion of biomass. Economic considerations suggest to meet these restrictions by improving the ability
to predict and therefore prevent emissions, which can be done by improved control algorithms. This work
presents different methods to obtain models for the prediction of carbon monoxide emissions in a small-scale
biomass combustion furnace for wooden pellets. The presented models are intended for an application in model
based control, either as part of the underlying model or for carbon monoxide soft sensing and fault detection.
The main focus is on simple structures which can be handled by the already existing hardware of the furnaces.
Different black-box models and a kinetic process model are introduced and compared. The black-box models are
based on the measured flue gas oxygen concentration and the combustion temperature, since these measurements
are typically available even for smaller plants. The obtained models are validated with measured data in
order to find the most suitable structures, of which combined fuzzy black-box models show the most promising
results. The presented methodology can be readily applied to the investigated furnace. However, the model
parameters have to be adapted for other plants.

Keywords:
Biomass, Carbon monoxide, Emission, Estimation Modeling


"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1016/j.apenergy.2019.113668

Electronic version of the publication:
https://publik.tuwien.ac.at/files/publik_281644.pdf


Created from the Publication Database of the Vienna University of Technology.