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@PHDTHESIS{Vinnemeier:749997,
author = {Vinnemeier, Philipp},
othercontributors = {Wirsum, Manfred Christian and Hoffschmidt, Bernhard},
title = {{M}odel-based optimal operation of solar thermal power
cycles},
school = {Rheinisch-Westfälische Technische Hochschule Aachen},
type = {Dissertation},
address = {Aachen},
reportid = {RWTH-2018-230485},
pages = {1 Online-Ressource (XII, 180 Seiten) : Illustrationen,
Diagramme},
year = {2018},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University 2019; Dissertation, Rheinisch-Westfälische
Technische Hochschule Aachen, 2018},
abstract = {This work aims to develop and analyze model-based
approaches for automated optimal operation of solar tower
plants. The aim is to set up an operational assistance
system (OAS) which is capable to operate solar tower plants
optimally under frequently changing operational conditions
-especially the discontinuous solar heat input via the solar
collector field- while maintaining operational safety at
all times. This way, the system takes over tasks of the
plant operator. In general, different possibilities of
intervention into the process are available (e.g. by valves
and blowers) to establish a certain operational point.
According to the number of available interventions the
currently optimal combination of them is not necessarily
obvious, especially as several parameter limits (e.g. the
live steam temperature) must be obeyed meanwhile. The focus
of this work is on the thermal part of solar towers starting
at the receiver -the heat transfer fluid cycle and the
water/steam cycle. Exemplary the Solar Tower Jülich is in
focus. "Optimal operation" is considered to be
efficiency-optimized operation under maintenance of
different operational limitations. A steady-state analytic
model is used to systematically identify optimal
combinations of controllable inputs / interventions
-operational points- over the entire load range. This
information is used as a basis for the development of the
OAS which operates the plant situation-oriented in an
automated way. Within the evaluation process of the OAS a
detailed dynamic process model of the power plant is used
standing for the real plant. On this model, the different
OAS versions are applied and the unavoidable differences
between models for optimization and the properties of the
real plant are regarded appropriately. The developed OAS is
capable to maneuver the plant successfully through
challenging operational situations characterized by
spontaneous and significant load changes. Furthermore, the
OAS achieves to approximate the theoretical maximal
efficiency over entire operational days with an offset of
about $0,2\%$ points. A performance comparison between
manual operation (as it was conducted at the solar tower in
the past) and the OAS shows that the OAS achieves mean
efficiencies which are about $2\%$ points higher.},
cin = {412510},
ddc = {620},
cid = {$I:(DE-82)412510_20140620$},
typ = {PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2018-230485},
url = {https://publications.rwth-aachen.de/record/749997},
}
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