Example Application of an Energy Management of Energy Resources in Industrial Facilities With Renewables
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
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
Originalsprache | Englisch |
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Titel | IEEE EUROCON 2023 - 20th International Conference on Smart Technologies |
Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
Seiten | 275-279 |
Seitenumfang | 5 |
ISBN (elektronisch) | 978-1-6654-6397-3 |
ISBN (Print) | 978-1-6654-6398-0 |
Publikationsstatus | Veröffentlicht - 2023 |
Peer-Review-Status | Ja |
Publikationsreihe
Reihe | International Conference on Smart Technologies (EUROCON) |
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Konferenz
Titel | 20th International Conference on Smart Technologies, EUROCON 2023 |
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Dauer | 6 - 8 Juli 2023 |
Stadt | Torino |
Land | Italien |
Externe IDs
ORCID | /0000-0001-8439-7786/work/142244190 |
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Schlagworte
Ziele für nachhaltige Entwicklung
ASJC Scopus Sachgebiete
Schlagwörter
- energy management, industrial facilities, multiple polynomial regression, renewables, time series analysis