Kohne, Thomas ; Becker, Aron ; Weber, Thomas ; Panten, Niklas ; Abele, Eberhard (2019)
Modeling Approach for Thermal Dependencies in Complex Industrial Energy Supply System.
In: 8th DACH+ Conference on Energy Informatics, Abstract, 2 (S2)
doi: 10.1186/s42162-019-0098-7
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Rising digitization in industrial production sites and processes o ers the opportunity to implement optimization approaches for operational strategies of decentralized energy supply systems (DESS). Current model-based approaches like mixed integer linear programming (MILP) often neglect modeling temperature dependencies and thermal inertia in complex thermal grids in production sites. In this paper a modular MILP model is presented in a model predictive control (MPC) approach which integrates temperature dependencies and thermal inertia in complex DESS. The validation by simulation shows that the approach manages to map thermal dependencies successfully and reduce energy consumption and cost of the DESS by optimizing temperature levels. Hence the approach enables a stable optimized control of complex DESS.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2019 |
| Autor(en): | Kohne, Thomas ; Becker, Aron ; Weber, Thomas ; Panten, Niklas ; Abele, Eberhard |
| Art des Eintrags: | Bibliographie |
| Titel: | Modeling Approach for Thermal Dependencies in Complex Industrial Energy Supply System |
| Sprache: | Englisch |
| Publikationsjahr: | 2019 |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | 8th DACH+ Conference on Energy Informatics, Abstract |
| Jahrgang/Volume einer Zeitschrift: | 2 |
| (Heft-)Nummer: | S2 |
| DOI: | 10.1186/s42162-019-0098-7 |
| Kurzbeschreibung (Abstract): | Rising digitization in industrial production sites and processes o ers the opportunity to implement optimization approaches for operational strategies of decentralized energy supply systems (DESS). Current model-based approaches like mixed integer linear programming (MILP) often neglect modeling temperature dependencies and thermal inertia in complex thermal grids in production sites. In this paper a modular MILP model is presented in a model predictive control (MPC) approach which integrates temperature dependencies and thermal inertia in complex DESS. The validation by simulation shows that the approach manages to map thermal dependencies successfully and reduce energy consumption and cost of the DESS by optimizing temperature levels. Hence the approach enables a stable optimized control of complex DESS. |
| Freie Schlagworte: | Indusrial energy supply systems;MILP;MPC;Thermal dependencies |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > ETA Energietechnologien und Anwendungen in der Produktion |
| Hinterlegungsdatum: | 28 Nov 2019 07:01 |
| Letzte Änderung: | 27 Aug 2020 09:24 |
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