Development of a Digital Twin for Solar Tower Power Plants Subsection: Heliostatfield Calibration

Pargmann, Max and Maldonado Quinto, Daniel and Schwarzbözl, Peter and Pitz-Paal, Robert (2020) Development of a Digital Twin for Solar Tower Power Plants Subsection: Heliostatfield Calibration. [Other]

PDF
1MB

Item URL in elib:

https://elib.dlr.de/138068/

Document Type:

Other

Title:

Development of a Digital Twin for Solar Tower Power Plants Subsection: Heliostatfield Calibration

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Pargmann, Max	UNSPECIFIED	https://orcid.org/0000-0002-4705-6285	UNSPECIFIED
Maldonado Quinto, Daniel	UNSPECIFIED	https://orcid.org/0000-0003-2929-8667	UNSPECIFIED
Schwarzbözl, Peter	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Pitz-Paal, Robert	UNSPECIFIED	https://orcid.org/0000-0002-3542-3391	UNSPECIFIED

Date:

2020

Journal or Publication Title:

Institutsüberprüfung 2020

Refereed publication:

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

Heliostat, Calibration, Deep Learning, Neural Network, Solar Tower Power Plant

HGF - Research field:

Energy

HGF - Program:

Technology, Innovation and Society

HGF - Program Themes:

Renewable Energy and Material Resources for Sustainable Futures - Integrating at Different Scales

DLR - Research area:

Energy

DLR - Program:

E SY - Energy Systems Analysis

DLR - Research theme (Project):

E - Energy Systems Technology (old)

Location:

Köln-Porz

Institutes and Institutions:

Institute of Solar Research > Solar Power Plant Technology

Deposited By:

Pargmann, Max

Deposited On:

23 Dec 2020 13:13

Last Modified:

23 Dec 2020 13:13

Repository Staff Only: item control page