TY  - CONF
A1  - Schwager, Christian
A1  - Angele, Florian
A1  - Schwarzbözl, Peter
A1  - Teixeira Boura, Cristiano José
A1  - Herrmann, Ulf
T1  - Model predictive assistance for operational decision making in molten salt receiver systems
T2  - SolarPACES: Solar Power & Chemical Energy Systems
N2  - 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.
KW  - Power plants
KW  - Associated liquids
KW  - Decision theory
KW  - Electrochemistry
Y1  - 2023
UR  - https://opus.bibliothek.fh-aachen.de/opus4/frontdoor/index/index/docId/11077
SN  - 978-0-7354-4623-6
SN  - 1551-7616 (online)
SN  - 0094-243X (print)
N1  - 27th International Conference on Concentrating Solar Power and Chemical Energy Systems
27 September–1 October 2021
Online
IS  - 2815 / 1
PB  - AIP conference proceedings / American Institute of Physics
CY  - Melville, NY
ER  -