Example Application of an Energy Management of Energy Resources in Industrial Facilities With Renewables

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Abstract

The increasing number of Distributed Energy Resources, energy storages and sector-coupling devices requires mechanisms to manage the local energy utilization. Hereby the dependency on fossil resources can be highly reduced. For this, it is essential that energy resources of whole industrial facilities are analysed and adapted. Therefore, the goal for the presented investigation of Industrial Facilities is, to use local available renewables in an optimal way, to reduce the external energy consumption and increase the self-consumption. Physical models, multiple polynomial regression and time series analysis are utilized. The special feature of this investigation is the holistic approach that includes analyses of the energy demand and the local energy generation, profiles of the entire system and parameter fitting. Moreover, the developed methods are independent of the observed local energy system and can be applied in a general way.

Details

OriginalspracheEnglisch
TitelIEEE EUROCON 2023 - 20th International Conference on Smart Technologies
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten275-279
Seitenumfang5
ISBN (elektronisch)978-1-6654-6397-3
ISBN (Print)978-1-6654-6398-0
PublikationsstatusVeröffentlicht - 2023
Peer-Review-StatusJa

Publikationsreihe

ReiheInternational Conference on Smart Technologies (EUROCON)

Konferenz

Titel20th International Conference on Smart Technologies, EUROCON 2023
Dauer6 - 8 Juli 2023
StadtTorino
LandItalien

Externe IDs

ORCID /0000-0001-8439-7786/work/142244190

Schlagworte

Ziele für nachhaltige Entwicklung

Schlagwörter

  • energy management, industrial facilities, multiple polynomial regression, renewables, time series analysis