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@PHDTHESIS{Ginsberg:82629,
author = {Ginsberg, Tobias},
othercontributors = {Modigell, Michael},
title = {{D}ynamische {M}odellierung von {D}rehrohröfen},
address = {Aachen},
publisher = {Publikationsserver der RWTH Aachen University},
reportid = {RWTH-CONV-143017},
pages = {V, 140 S. : graph. Darst.},
year = {2011},
note = {Zsfassung in dt. und engl. Sprache; Aachen, Techn.
Hochsch., Diss., 2010},
abstract = {In the work at hand it is investigated whether the dynamic
behaviour of industrial rotary kiln plants can be reproduced
with quantitative accuracy by means of mathematical models.
For this purpose the relevant heat and mass-transfer
mechanisms in the kilns are identified and physically
founded sub-models are provided that are capable of mapping
these phenomena. A model of an entire plant results from
combining these sub-models. As a demonstration case a rotary
kiln for calcination of titanium dioxide is considered. The
developed model for this plant is validated by means of
operational data that were captured during a measurement
campaign over several weeks. In the model it is assumed that
the solid bed as well as the gas phase are ideally mixed in
every kiln cross section. Temperatures and compositions thus
only depend on the axial coordinate. Heat transfer by
radiation and convection, regenerative heat transfer in the
kiln wall and the flow velocity of the solid bed are
described by means of proper sub-models. The chemical
processes within the kiln are described by reaction kinetic
expressions that are available in the literature. The
respective reaction enthalpies are determined in
calorimetric measurements. The model is validated by means
of a dynamic test case representing kiln operation over a
15-day period. The test case comprises a change in the
operational state of the kiln due to breakdown of a plant
component. The model quality is evaluated based on the
measured temperatures of the solid product and the off gas,
among others. An error analysis yields that due to uncertain
model parameters and operational measurement data the
model's predictive accuracies equal +/-244°C and +/-19°C,
respectively, for the mentioned temperatures. However, the
product temperature is actually reproduced with a mean
deviation of +/-35°C at an average value of 920°C. A mean
deviation of +/-12°C results for the off gas temperature at
an average value of 370°C. Hence, the model's predictive
accuracy is considerably better than it was to be expected
from the parameter and measurement uncertainties.
Furthermore the error analysis shows, that most of the
measurement values required in the model are captured
sufficiently accurate by the standard industrial measurement
equipment applied at the considered plant. Improving the
measurement accuracy of the false air flow rate, the
reactand composition and mass flow, and the fuel flow rate
offer the biggest potential to significantly improve the
model's accuracy. All in all the simulation results indicate
that the dynamic behaviour of industrial rotary kilns can be
reproduced by rigorous mathematical models at moderate
computational effort.},
keywords = {Drehrohrofen (SWD) / Dynamische Modellierung (SWD) /
Titandioxid (SWD) / Titandioxidherstellung (SWD) /
Calcinieren (SWD)},
cin = {416220},
ddc = {620},
cid = {$I:(DE-82)416220_20140620$},
typ = {PUB:(DE-HGF)11},
urn = {urn:nbn:de:hbz:82-opus-38307},
url = {https://publications.rwth-aachen.de/record/82629},
}
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