Weber, Thomas ; Strobel, Nina ; Kohne, Thomas ; Wolber, Jakob ; Abele, Eberhard (2018)
Realistic Modeling of a Combined Heat and Power Plant in the Context of Mixed Integer Linear Programming.
In: Proceedings, 7th DACH + Conference on Energy Informatics, 1 (1)
doi: 10.1186/s42162-018-0037-z
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
In addition to renewable energy sources, the transition of the German energy system will increasingly involve the use of decentralized combined heat and power plants (CHP). In order to use this promising technology cost-optimally, modeling approaches must be developed that enable optimization of the systems. Mixed integer linear programming (MILP) is a powerful tool for solving mathematical optimization problems. However, to reduce the computing time the model formulation requires compelling simplifications in relation to reality. The aim of this paper is to present a modeling approach for a combined heat and power plant that depicts dynamic power changes more accurately than existing approaches. Power gradients are mapped by differentiating between the control signal of the CHP unit and the actually generated power output for thermal and electrical power. Finally, the accuracy of the modeling approach is examined in a field test and evaluated according to the accuracy achieved.
Typ des Eintrags: | Artikel |
---|---|
Erschienen: | 2018 |
Autor(en): | Weber, Thomas ; Strobel, Nina ; Kohne, Thomas ; Wolber, Jakob ; Abele, Eberhard |
Art des Eintrags: | Bibliographie |
Titel: | Realistic Modeling of a Combined Heat and Power Plant in the Context of Mixed Integer Linear Programming |
Sprache: | Englisch |
Publikationsjahr: | Oktober 2018 |
Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Proceedings, 7th DACH + Conference on Energy Informatics |
Jahrgang/Volume einer Zeitschrift: | 1 |
(Heft-)Nummer: | 1 |
DOI: | 10.1186/s42162-018-0037-z |
URL / URN: | https://doi.org/10.1186/s42162-018-0037-z |
Kurzbeschreibung (Abstract): | In addition to renewable energy sources, the transition of the German energy system will increasingly involve the use of decentralized combined heat and power plants (CHP). In order to use this promising technology cost-optimally, modeling approaches must be developed that enable optimization of the systems. Mixed integer linear programming (MILP) is a powerful tool for solving mathematical optimization problems. However, to reduce the computing time the model formulation requires compelling simplifications in relation to reality. The aim of this paper is to present a modeling approach for a combined heat and power plant that depicts dynamic power changes more accurately than existing approaches. Power gradients are mapped by differentiating between the control signal of the CHP unit and the actually generated power output for thermal and electrical power. Finally, the accuracy of the modeling approach is examined in a field test and evaluated according to the accuracy achieved. |
Freie Schlagworte: | CHP, MILP, Validation |
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: | 12 Dez 2018 13:18 |
Letzte Änderung: | 27 Aug 2020 09:26 |
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