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Optimisation of Concentrating Solar Thermal Power Plants with Neural Networks

Summary: Optimisation of Concentrating Solar Thermal
Power Plants with Neural Networks
Pascal Richter1,2
, Erika ´Abrah´am1
, and Gabriel Morin2
Chair of Computer Science 2, RWTH Aachen University, Aachen, Germany
Fraunhofer Institute for Solar Energy Systems, Freiburg, Germany
Abstract. The exploitation of solar power for energy supply is of in-
creasing importance. While technical development mainly takes place in
the engineering disciplines, computer science offers adequate techniques
for simulation, optimisation and controller synthesis.
In this paper we describe a work from this interdisciplinary area. We
introduce our tool for the optimisation of parameterised solar thermal
power plants, and report on the employment of genetic algorithms and
neural networks for parameter synthesis. Experimental results show the
applicability of our approach.
Keywords: Optimization, Solar thermal power plants, Neural networks,
Genetic algorithms.


Source: Ábrahám, Erika - Fachgruppe Informatik, Rheinisch Westfälische Technische Hochschule Aachen (RWTH)


Collections: Computer Technologies and Information Sciences