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Number of items: 8.

Theisinger, Lukas ; Borst, Fabian ; Kohne, Thomas ; Weigold, Matthias (2023)
Concept development for industrial heating networks under consideration of low temperature waste heat: a data-driven decision support.
In: Procedia CIRP, 116
doi: 10.1016/j.procir.2023.02.057
Article

Kohne, Thomas ; Piendl, Daniel ; Theisinger, Lukas ; Weigold, Matthias (2023)
Optimal operational planning for district heating coupled industrial energy systems considering participation models.
In: Procedia CIRP, 116
doi: 10.1016/j.procir.2023.02.035
Article

Theisinger, Lukas ; Georg Frank, Michael ; Borst, Fabian ; Weigold, Matthias (2023)
Energieeffizienzmaßnahmen im Industriebestand - ETA im Bestand : Modellbasierte Identifikation und Bewertung von Energieeffizienzmaßnahmen in der metallverarbeitenden Industrie.
In: Zeitschrift für Wirtschaftlichen Fabrikbetrieb : ZWF, 118 (3)
doi: 10.1515/zwf-2023-1033
Article

Borst, Fabian ; Theisinger, Lukas ; Weigold, Matthias (2023)
Energy-efficient pump control in industrial cooling water systems using a multi-agent system.
In: Procedia CIRP, 116
doi: 10.1016/j.procir.2023.02.008
Article

Theisinger, Lukas ; Kohne, Thomas ; Borst, Fabian ; Weigold, Matthias (2022)
Modeling Approach and Simulation Study to Assess the Utilization Potential of Industrial Waste Heat in District Heating Systems.
In: Procedia CIRP, 105
doi: 10.1016/j.procir.2022.02.056
Article

Fuhrländer-Völker, Daniel ; Borst, Fabian ; Theisinger, Lukas ; Ranzau, Heiko ; Weigold, Matthias (2022)
Modular Data Model for Energy-Flexible Cyber-physical Production Systems.
In: Procedia CIRP, 107
doi: 10.1016/j.procir.2022.04.036
Article

Kohne, Thomas ; Burkhardt, Max ; Theisinger, Lukas ; Weigold, Matthias (2021)
Technical and Digital Twin Concept of an Industrial Heat Transfer Station for Low Exergy Waste Heat.
In: Procedia CIRP, 104
doi: 10.1016/j.procir.2021.11.038
Article

Kohne, Thomas ; Theisinger, Lukas ; Scherff, Jan ; Weigold, Matthias (2021)
Data and Optimization Model of an Industrial Heat Transfer Station to Increase Energy Flexibility.
In: Energy Informatics, 4 (Suppl. 3)
doi: 10.1186/s42162-021-00179-z
Article

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