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

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

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.

Item Type: Article
Erschienen: 2018
Creators: Weber, Thomas and Strobel, Nina and Kohne, Thomas and Wolber, Jakob and Abele, Eberhard
Title: Realistic Modeling of a Combined Heat and Power Plant in the Context of Mixed Integer Linear Programming
Language: English
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.

Journal or Publication Title: Proceedings, 7th DACH and Conference on Energy Informatics, Springer Open
Volume: 1
Number: 1
Uncontrolled Keywords: CHP, MILP, Validation
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute of Production Management, Technology and Machine Tools (PTW)
16 Department of Mechanical Engineering > Institute of Production Management, Technology and Machine Tools (PTW) > ETA Energy Technologies and Applications in Production
Date Deposited: 12 Dec 2018 13:18
DOI: 10.1186/s42162-018-0037-z
Official URL: https://doi.org/10.1186/s42162-018-0037-z
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