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Model predictive assistance for operational decision making in molten salt receiver systems

  • Despite the challenges of pioneering molten salt towers (MST), it remains the leading technology in central receiver power plants today, thanks to cost effective storage integration and high cost reduction potential. The limited controllability in volatile solar conditions can cause significant losses, which are difficult to estimate without comprehensive modeling [1]. This paper presents a Methodology to generate predictions of the dynamic behavior of the receiver system as part of an operating assistance system (OAS). Based on this, it delivers proposals if and when to drain and refill the receiver during a cloudy period in order maximize the net yield and quantifies the amount of net electricity gained by this. After prior analysis with a detailed dynamic two-phase model of the entire receiver system, two different reduced modeling approaches where developed and implemented in the OAS. A tailored decision algorithm utilizes both models to deliver the desired predictions efficiently and with appropriate accuracy.

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Metadaten
Author:Christian Schwager, Florian Angele, Peter Schwarzbözl, Cristiano José Teixeira BouraORCiD, Ulf HerrmannORCiD
DOI:https://doi.org/10.1063/5.0151514
ISBN:978-0-7354-4623-6
ISSN:1551-7616 (online)
ISSN:0094-243X (print)
Parent Title (English):SolarPACES: Solar Power & Chemical Energy Systems
Publisher:AIP conference proceedings / American Institute of Physics
Place of publication:Melville, NY
Document Type:Conference Proceeding
Language:English
Year of Completion:2023
Date of the Publication (Server):2024/03/15
Tag:Associated liquids; Decision theory; Electrochemistry; Power plants
Issue:2815 / 1
Length:8 Seiten
Note:
27th International Conference on Concentrating Solar Power and Chemical Energy Systems
27 September–1 October 2021
Online
Link:https://doi.org/10.1063/5.0151514
Institutes:FH Aachen / Fachbereich Energietechnik
FH Aachen / Solar-Institut Jülich
FH Aachen / ECSM European Center for Sustainable Mobility
FH Aachen / Kommission für Forschung und Entwicklung
collections:Verlag / AIP Publishing