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Concentrating solar power (CSP) plant data-driven digital twin: a novel method for flux density prediction

Diaz Alonso, Sergio and Raeder, Christian and Hoffschmidt, Bernhard (2025) Concentrating solar power (CSP) plant data-driven digital twin: a novel method for flux density prediction. Results in Engineering, 28. Elsevier. doi: 10.1016/j.rineng.2025.107096. ISSN 2590-1230.

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Official URL: https://www.sciencedirect.com/science/article/pii/S2590123025031512


Item URL in elib:https://elib.dlr.de/218133/
Document Type:Article
Title:Concentrating solar power (CSP) plant data-driven digital twin: a novel method for flux density prediction
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Diaz Alonso, Sergiosergio.diazalonso (at) dlr.dehttps://orcid.org/0009-0001-1283-5502195570394
Raeder, ChristianChristian.Raeder (at) dlr.dehttps://orcid.org/0009-0009-4903-6200195570396
Hoffschmidt, BernhardBernhard.Hoffschmidt (at) dlr.deUNSPECIFIEDUNSPECIFIED
Date:September 2025
Journal or Publication Title:Results in Engineering
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:28
DOI:10.1016/j.rineng.2025.107096
Publisher:Elsevier
ISSN:2590-1230
Status:Published
Keywords:Concentrating solar power (CSP); Digital twin; Cyber-Physical System (CPS); Flux Density Measurements (FDM) Real-time simulation
HGF - Research field:Energy
HGF - Program:Materials and Technologies for the Energy Transition
HGF - Program Themes:High-Temperature Thermal Technologies
DLR - Research area:Energy
DLR - Program:E SW - Solar and Wind Energy
DLR - Research theme (Project):E - Smart Operation
Location: Jülich
Institutes and Institutions:Institute of Solar Research > Concentrating Solar Technologies
Deposited By: Diaz Alonso, Sergio
Deposited On:30 Oct 2025 09:18
Last Modified:30 Oct 2025 09:18

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