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Efficient Ray Tracing with Real Weatcher Data

Richter, Pascal and Tinnes, Janna and Schwarzbözl, Peter and Rong, Amadeus (2018) Efficient Ray Tracing with Real Weatcher Data. MATHMOD 2018, 21.-23.2.2018, Wien, Österreich.

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The optimized layout of a central receiver power plants requires an accurate but fast simulation of the plant operation depending on its design parameters. Ray tracing models are commonly used to calculate the solar flux concentrated by the heliostat field. The computation time for an annual performance simulation is critical for the usage in an optimization procedure. The main influences on runtime are the spatial and temporal discretization. For the annual simulation, usually weather data from clear sky models is used, e.g. the meteorological radiation model. Using non-symmetric measured weather data (e.g. from a TMY file) the temporal sample Points have to be chosen in a different way. In this work, different temporal integration approaches are presented and discussed for the case of measured weather data.

Item URL in elib:https://elib.dlr.de/124472/
Document Type:Conference or Workshop Item (Speech)
Title:Efficient Ray Tracing with Real Weatcher Data
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Richter, Pascalrichter (at) mathcces.rwth-aachen.deUNSPECIFIED
Schwarzbözl, Peterpeter.schwarzboezl (at) dlr.deUNSPECIFIED
Rong, AmadeusAmadeus.Rong (at) dlr.deUNSPECIFIED
Date:February 2018
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:Solar energy, Mathematical models, Optimization, Simulation, Sampling, Quadrature, Software Performance
Event Title:MATHMOD 2018
Event Location:Wien, Österreich
Event Type:international Conference
Event Dates:21.-23.2.2018
HGF - Research field:Energy
HGF - Program:Renewable Energies
HGF - Program Themes:Concentrating Solar Thermal Technology
DLR - Research area:Energy
DLR - Program:E SW - Solar and Wind Energy
DLR - Research theme (Project):E - Advanced Heat Transfer Media
Location: Köln-Porz
Institutes and Institutions:Institute of Solar Research > Solar Power Plant Technology
Deposited By: Schwarzbözl, Peter
Deposited On:17 Dec 2018 10:27
Last Modified:17 Dec 2018 10:27

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