Inverse Deep Learning Raytracing for heliostat surface prediction

Lewen, Jan and Parmann, Max and Maldonado Quinto, Daniel and Jitsev, Jenia and Cherti, Mehdi and Pitz-Paal, Robert (2025) Inverse Deep Learning Raytracing for heliostat surface prediction. Solar Energy. Elsevier. doi: 10.1016/j.solener.2025.113312. ISSN 0038-092X.

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Item URL in elib:

https://elib.dlr.de/213209/

Document Type:

Article

Title:

Inverse Deep Learning Raytracing for heliostat surface prediction

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Lewen, Jan	jan.lewen (at) dlr.de	https://orcid.org/0000-0003-2146-8991	186206768
Parmann, Max	max.pargmann (at) dlr.de	UNSPECIFIED	UNSPECIFIED
Maldonado Quinto, Daniel	Daniel.MaldonadoQuinto (at) dlr.de	https://orcid.org/0000-0003-2929-8667	186206769
Jitsev, Jenia	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Cherti, Mehdi	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Pitz-Paal, Robert	Robert.Pitz-Paal (at) dlr.de	https://orcid.org/0000-0002-3542-3391	UNSPECIFIED

Date:

4 March 2025

Journal or Publication Title:

Solar Energy

Refereed publication:

Yes

Open Access:

Yes

Gold Open Access:

In SCOPUS:

Yes

In ISI Web of Science:

Yes

DOI:

10.1016/j.solener.2025.113312

Publisher:

Elsevier

ISSN:

0038-092X

Status:

Published

Keywords:

Inverse Deep Learning Raytracing, Deep Learning, Heliostat Surface Errors, Concentrating Solar Power

HGF - Research field:

Energy

HGF - Program:

Energy System Design

HGF - Program Themes:

Digitalization and System Technology

DLR - Research area:

Energy

DLR - Program:

E SY - Energy System Technology and Analysis

DLR - Research theme (Project):

E - Energy System Technology, R - Artificial Intelligence

Location:

Köln-Porz

Institutes and Institutions:

Institute of Solar Research
Institute of Solar Research > Concentrating Solar Technologies

Deposited By:

Lewen, Jan

Deposited On:

18 Jun 2025 10:57

Last Modified:

26 Jun 2025 14:38

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