Energy Optimization for Companies with Digital Flex Twins
- In this paper we report on further success of our work to develop a multi-method energy optimization which works with a digital twin concept. The twin concept serves to replicate production processes of different kinds of production companies, including complex energy systems and test market interactions to then use them for model predictive optimizing. The presented work finally reports about theIn this paper we report on further success of our work to develop a multi-method energy optimization which works with a digital twin concept. The twin concept serves to replicate production processes of different kinds of production companies, including complex energy systems and test market interactions to then use them for model predictive optimizing. The presented work finally reports about the performed flexibility assessment leading to a flexibility audit with a list of measures and the impact of energy optimizations made related to interactions with the local power grid i.e., the exchange node of the low voltage distribution grid. The analysis and continuous exploration of flexibilities as well as the exchange with energy markets require a “guide” leading to continuous optimization with a further tool like the Flexibility Survey and Control Panel helping decision-making processes on the day-ahead horizon for real production plants or the investment planning to improve machinery, staff schedules and production infrastructure.…
Document Type: | Conference Proceeding |
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Conference Type: | Konferenzartikel |
Zitierlink: | https://opus.hs-offenburg.de/8124 | Bibliografische Angaben |
Title (English): | Energy Optimization for Companies with Digital Flex Twins |
Conference: | European Photovoltaic Solar Energy Conference and Exhibition (40. : 18.09. - 22.09.2023 : Lisbon/Portugal) |
Author: | Jesus Salazar da Costa FernandesStaff MemberORCiDGND, Amine AamoumeStaff Member, Jens LottermoserStaff MemberGND, Rainer GasperStaff MemberGND, Michael SchmidtStaff MemberORCiDGND |
Year of Publication: | 2023 |
Date of first Publication: | 2023/09/18 |
Contributing Corporation: | Hochschule Offenburg |
Place of publication: | München |
Publisher: | WIP Renewables GmbH |
First Page: | 020528-001 |
Last Page: | 020528-005 |
Parent Title (English): | EU PVSEC Proceedings |
ISBN: | 3-936338-88-4 |
ISSN: | 2196-100X |
DOI: | https://doi.org/10.4229/EUPVSEC2023/5DV.2.11 |
Language: | English | Inhaltliche Informationen |
Institutes: | Forschung / INES - Institut für nachhaltige Energiesysteme |
Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019) | |
Fakultät Maschinenbau und Verfahrenstechnik (M+V) | |
Institutes: | Bibliografie |
DDC classes: | 600 Technik, Medizin, angewandte Wissenschaften |
Tag: | Digital Flex Twin Optimization; Energy Flexibility; Energy Flexibility for Companies; Energy Marketing of Industrial Flexibilities; Optimization with Digital Twins; Renewable Energy Markets |
Funded by (selection): | Bundesministerium für Wirtschaft und Klimaschutz |
Funding number: | 03EI6065C | Formale Angaben |
Relevance: | Konferenzbeitrag: h5-Index < 30 |
Open Access: | Closed |
Licence (German): | Urheberrechtlich geschützt |
Comment: | Zugriff auf den Volltext nach kostenfreier Registrierung |