Solar towers use many mirrors to concentrate sun light on a central, tower-mounted receiver. The receiver then transfers the resulting heat to a fluid (i.e. molten salt or air) that, in turn, exchanges the heat to steam which powers a turbine, generating electricity. The placement of the mirrors may lead to individual mirrors being blocked and shaded; this affects the efficiency (and therefore costs) of the power plant. The model is later used for an optimisation process which finds the most efficient arrangement of mirrors.
A similiar problem is given by offshore wind parks, where an optimal placement of wind turbines is wanted, such that the turbines are not placed in the wind shadow of each other.
To some extent, the above described models are implemented with a C++ code. Also an optimizer (genetic algorithm) was written, which optimizes the positions of the heliostats/offshore wind turbines. And finally the code is presented as web application on http://www.solar.rwth-aachen.de/ in an alpha stage of development (as you can see).
Within this practical course four problems are offered, each will be solved by a group of two or three students:
- Wind farm optimization: Develop new global optimizers to find the optimal layout for offshore wind farms.
- Web Application: Further development of the web application for solar tower power plants.
- Solar Tower optimization: Find an optimal aim point strategy for each heliostat (Consider reactions to clouds).
- Cloud Prediction: Predict the shadowing of a solar power plants by clouds with satellite data using Neural Networks.
For all topics basic skills in C++ is needed. For the web application, additionally experience with html, php, Polymer, and WebGL is helpful. Please state in which topic you are interested the most. If you already have a favorite partner, please indicate him/her, such that we could select you both during the registration process.
This project is a corporation of the Theory of Hybrid Systems (i2) research group headed by Prof. Dr. Erika Ábrahám, and the research group headed by Prof. Dr. Martin Frank of MathCCES. The project will be co-supervised by Pascal Richter. For further questions please contact Pascal Richter.