Gradient-Based Power Plant Design Using Differentiable Ray Tracing

Pargmann, Max and Ebert, Jan and Kesselheim, Stefan and Maldonado Quinto, Daniel and Pitz-Paal, Robert (2022) Gradient-Based Power Plant Design Using Differentiable Ray Tracing. SolarPaces 2022, 26.-30. September 2022, Albuquerque, USA.

PDF
5MB

Item URL in elib:

https://elib.dlr.de/193815/

Document Type:

Conference or Workshop Item (Poster)

Title:

Gradient-Based Power Plant Design Using Differentiable Ray Tracing

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
Ebert, Jan	Jülich Supercomputing Centre	UNSPECIFIED	UNSPECIFIED
Kesselheim, Stefan	Jülich Supercomputing Centre	UNSPECIFIED	UNSPECIFIED
Maldonado Quinto, Daniel	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Pitz-Paal, Robert	UNSPECIFIED	https://orcid.org/0000-0002-3542-3391	UNSPECIFIED

Date:

2022

Refereed publication:

Yes

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

Field Design, Artificial Intelligence, Differentiable Raytracing

Event Title:

SolarPaces 2022

Event Location:

Albuquerque, USA

Event Type:

international Conference

Event Dates:

26.-30. September 2022

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:

Köln-Porz

Institutes and Institutions:

Institute of Solar Research > Solar Power Plant Technology

Deposited By:

Pargmann, Max

Deposited On:

28 Feb 2023 08:51

Last Modified:

28 Feb 2023 08:51

Repository Staff Only: item control page