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Forecasting of the power output of solar power plantsIn recent years, the percentage of renewable energies in
the
total power
production has increased steadily.
Along with new types of power plants, new problems
emerged
of how these
power plants can be efficiently integrated into the
existing
power grid.
While the power production of conventional power plants
can
be
influenced and controlled, the power production of for
example solar
power plants depends on uncontrollable influences like
the
current weather.
In fact, the major cause for drop-offs in the power
production are
occlusions of the sun by individual clouds. In this project we strive to develop a forecast system
for
the power
output of solar power plants. The sky will be monitored
with
a camera
located at the solar power plant. We will evaluate
different
methods of registering and forecasting the movement of
the
clouds to
detect possible occlusions of the sun in the future. In a
next step, it
is then possible to predict the solar irradiation and
therefore the
power output of the power plant.
| Project manager:
Prof. Dr.-Ing. Joachim Hornegger, Elli Angelopoulou, Ph.D., Akad. Rat
Project participants:
Dipl.-Phys. David Bernecker, PD Dr.-Ing. Christian Riess
Keywords:
computer vision; tracking; non-rigid registration
Duration: 1.10.2011 - 30.11.2015
Contact:
Bernecker, David
Phone +49 9131 85 27882, Fax +49 9131 85 27270, E-Mail: david.bernecker@cs.fau.de
| | Publications |
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| Bernecker, David ; Riess, Christian ; Angelopoulou, Elli ; Hornegger, Joachim: Towards Improving Solar Irradiance Forecasts with Methods from Computer Vision. In: DAGM (Ed.) : Computer Vision in Applications Workshop (DAGM Graz, Austria 28.08). 2012, pp n/a. | Bernecker, David ; Riess, Christian ; Christlein, Vincent ; Angelopoulou, Elli ; Hornegger, Joachim: Representation Learning for Cloud Classification. In: Weickert, Joachim ; Hein, Matthias ; Schiele, Bernt (Ed.) : Pattern Recognition (35th German Conference on Pattern Recognition (GCPR) Saarbrücken 06.09.2013). 2013, pp 395-404.
[doi>10.1007/978-3-642-40602-7_42] | Bernecker, David ; Riess, Christian ; Angelopoulou, Elli ; Hornegger, Joachim: Continuous short-term irradiance forecasts using sky images. In: Solar Energy 110 (2014), pp 303-315
[doi>10.1016/j.solener.2014.09.005] |
Institution: Chair of Computer Science 5 (Pattern Recognition)
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