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Realistic Modeling of a Combined Heat and Power Plant in the Context of Mixed Integer Linear Programming

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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