Driving Green Energy Innovations: AI-Based Condition Monitoring for Solar Thermal Power Plants

Steinberg, Dominik (2024) Driving Green Energy Innovations: AI-Based Condition Monitoring for Solar Thermal Power Plants. Helmholtz Energy Young Scientist Networking Days. Energize the World: Create Impact with Your Research!, 2024-10-07 - 2024-10-08, Maintal, Deutschland.

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Item URL in elib:

https://elib.dlr.de/208229/

Document Type:

Conference or Workshop Item (Poster)

Title:

Driving Green Energy Innovations: AI-Based Condition Monitoring for Solar Thermal Power Plants

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Steinberg, Dominik	UNSPECIFIED	https://orcid.org/0009-0000-1114-4526	UNSPECIFIED

Date:

2024

Refereed publication:

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

Sustainability, Climate Change, Green Energy, Innovations, Condition Monitoring, Predictive Maintenance, Heliostat, Heliostat fields, Artificial Intelligence, Machine Learning, Data Analysis, Ageing effects, Fault detection, Central receiver, Solar power tower, CSP

Event Title:

Helmholtz Energy Young Scientist Networking Days. Energize the World: Create Impact with Your Research!

Event Location:

Maintal, Deutschland

Event Type:

Workshop

Event Start Date:

7 October 2024

Event End Date:

8 October 2024

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 - Condition Monitoring

Location:

Jülich

Institutes and Institutions:

Institute of Solar Research > Qualification

Deposited By:

Steinberg, Dominik

Deposited On:

11 Nov 2024 10:34

Last Modified:

11 Nov 2024 10:34

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