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.
Author: | Christian Schwager, Florian Angele, Peter Schwarzbözl, Cristiano José Teixeira BouraORCiD, Ulf HerrmannORCiD |
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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 |
Tag: | Associated liquids; Decision theory; Electrochemistry; Power plants |
Issue: | 2815 / 1 |
Length: | 8 Seiten |
Note: | SolarPACES: SOLAR POWER & CHEMICAL ENERGY SYSTEMS: 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 / ECSM European Center for Sustainable Mobility |
FH Aachen / Fachbereich Energietechnik | |
FH Aachen / Kommission für Forschung und Entwicklung | |
FH Aachen / Solar-Institut Jülich | |
collections: | Verlag / AIP Publishing |