TU Darmstadt / ULB / TUbiblio

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 :
Realistic Modeling of a Combined Heat and Power Plant in the Context of Mixed Integer Linear Programming.
[Online-Edition: https://doi.org/10.1186/s42162-018-0037-z]
In: Proceedings of the 7th DACH and Conference on Energy Informatics, Springer Open, 1 (1) p. 27. ISSN 2520-8942
[Artikel] , (2018)

Offizielle URL: 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.

Typ des Eintrags: Artikel
Erschienen: 2018
Autor(en): Weber, Thomas ; Strobel, Nina ; Kohne, Thomas ; Wolber, Jakob ; Abele, Eberhard
Titel: Realistic Modeling of a Combined Heat and Power Plant in the Context of Mixed Integer Linear Programming
Sprache: Englisch
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.

Titel der Zeitschrift, Zeitung oder Schriftenreihe: Proceedings of the 7th DACH and Conference on Energy Informatics, Springer Open
Band: 1
(Heft-)Nummer: 1
Freie Schlagworte: CHP, MILP, Validation
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Produktionsmanagement, Technologie und Werkzeugmaschinen (PTW)
16 Fachbereich Maschinenbau > Institut für Produktionsmanagement, Technologie und Werkzeugmaschinen (PTW) > ETA Energietechnologien und Anwendungen in der Produktion
Hinterlegungsdatum: 12 Dez 2018 13:18
DOI: 10.1186/s42162-018-0037-z
Offizielle URL: https://doi.org/10.1186/s42162-018-0037-z
Export:

Optionen (nur für Redakteure)

Eintrag anzeigen Eintrag anzeigen