Reference : Optimal industrial flexibility scheduling based on generic data format
Scientific congresses, symposiums and conference proceedings : Paper published in a journal
Engineering, computing & technology : Computer science
Engineering, computing & technology : Energy
Security, Reliability and Trust; Sustainable Development
http://hdl.handle.net/10993/52148
Optimal industrial flexibility scheduling based on generic data format
English
Bahmani, Ramin mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX >]
van Stiphoudt, Christine mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX >]
Potenciano Menci, Sergio mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX >]
Schoepf, Michael mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX >]
Fridgen, Gilbert mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX >]
7-Sep-2022
Energy Informatics
5
Proceedings of the 11th DACH+ Conference on Energy Informatics
Yes
International
2520-8942
11th DACH+ Conference on Energy Informatics
from 15-09-2022 to 16-09-2022
Freiburg im Breisgau
Germany
[en] Industrial flexibility optimisation ; Mixed-integer linear programming ; Generic flexibility description ; Load dependency
[en] The energy transition into a modern power system requires energy flexibility. Demand Response (DR) is one promising option for providing this flexibility. With the highest share of final energy consumption, the industry has the potential to offer DR and contribute to the energy transition by adjusting its energy demand. This paper proposes a mathematical optimization model that uses a generic data model for flexibility description. The optimization model supports industrial companies to select when (i.e., at which time), where (i.e., in which market), and how (i.e., the schedule) they should market their flexibility potential to optimize profit. We evaluate the optimization model under several synthetic use cases developed upon the learnings over several workshops and bilateral discussions with industrial partners from the paper and aluminum industry. The results of the optimization model evaluation suggest the model can fulfill its purpose under different use cases even with complex use cases such as various loads and storages. However, the optimization model computation time grows as the complexity of use cases grows.
Federal Ministry of Education and Research of Germany (BMBF)
Kopernikus-Project “SynErgie”
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/52148
10.1186/s42162-022-00198-4
https://energyinformatics.springeropen.com/articles/10.1186/s42162-022-00198-4
FnR ; FNR13342933 > Gilbert Fridgen > DFS > Paypal-fnr Pearl Chair In Digital Financial Services > 01/01/2020 > 31/12/2024 > 2019

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