Advanced two phase flow model for transient molten salt receiver system simulation

Schwager, Christian; Flesch, Robert; Schwarzbözl, Peter; Herrmann, Ulf; Boura, Cristiano José Teixeira

doi:10.1016/j.solener.2021.12.065

Cited by 4 publications

(2 citation statements)

References 37 publications

(46 reference statements)

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“…Conceptualization 1 , Data curation 1,3 , Formal Analysis 1 , Funding acquisition 1,5,6 , Investigation 1 , Methodology 1,2 , Project administration 1 , Software 1,2,4 , Supervision 5,6 , Visualization 1 , Writingoriginal draft 1 , Writing -review & editing 2,3,4,5,6…”

Section: Data Availability Statementmentioning

confidence: 99%

“…Available DNI (direct normal irradiation) forecasting data are usually based on satellites or all-sky imagers (ASI) and differ in temporal and spatial resolution as well as the forecasting uncertainty [1]. In order to investigate the implications regarding process prediction and model-predictive control (MPR) for molten salt solar towers (MST) measured and forecasted DNI maps from an ASI-based system [2] are applied to raytracing [3] and the resulting series of flux density distributions is imported into a dynamic prediction model of a 700 MWth external receiver system [4]. The latter is simulated in Dymola ® with detailed discretized modelling of the receiver (Absorber tubes) and also includes the combined feedforward and feedback temperature control as tested in the SolarTwo plant [5] as well as the commercially applied clear-sky mass flow control [5,6].…”

Section: Introduction and Simulation Setupmentioning

confidence: 99%

See 1 more Smart Citation

Impact of DNI Forecast Quality on Performance Prediction for a Commercial Scale Solar Tower

Schwager,

Angele,

Nouri

et al. 2024

SolarPACES Conf Proc

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Concerning current efforts to improve operational efficiency and to lower overall costs of concentrating solar power (CSP) plants with prediction-based algorithms, this study investigates the quality and uncertainty of nowcasting data regarding the implications for process predictions. DNI (direct normal irradiation) maps from an all-sky imager-based nowcasting system are applied to a dynamic prediction model coupled with ray tracing. The results underline the need for high-resolution DNI maps in order to predict net yield and receiver outlet temperature realistically. Furthermore, based on a statistical uncertainty analysis, a correlation is developed, which allows for predicting the uncertainty of the net power prediction based on the corresponding DNI forecast uncertainty. However, the study reveals significant prediction errors and the demand for further improvement in the accuracy at which local shadings are forecasted.

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