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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.show moreshow less

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Metadaten
Document Type:Conference Proceeding
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):License LogoUrheberrechtlich geschützt
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