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Open AccessArticle

Optimal Scheduling of Combined Heat and Power Generation Units Using the Thermal Inertia of the Connected District Heating Grid as Energy Storage

1
ABB Corporate Research Center Germany, 68526 Ladenburg, Germany
2
Institute for Control Systems, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany
*
Author to whom correspondence should be addressed.
Energies 2019, 12(2), 266; https://doi.org/10.3390/en12020266
Received: 13 December 2018 / Revised: 10 January 2019 / Accepted: 11 January 2019 / Published: 16 January 2019
A better integration across sectors is an essential element of 4th generation district heating and smart energy systems allowing to react to volatile renewable energy generation. This sector coupling enables to use more cost-efficient storage as storage prices differ for different forms of energy. Thermal energy for example can be stored in comparably cheap storage tanks. Besides such dedicated storage, the thermal inertia of a heating grid can be used as thermal storage as well. In this paper, a classic unit commitment optimization for scheduling of combined heat and power units not considering grid dynamics is extended to cover thermal dynamics of heating grids. First an outer approximation of the grid storage capabilities is developed. Second, a very efficient formulation for the storage dynamics of a heating grid is introduced and its capabilities are shown in a motivating case study. In this study additional savings of several thousand Euros per day are achieved using the thermal inertia of a heating grid as storage. View Full-Text
Keywords: integrated heat and power dispatch; optimal unit commitment; district heating network; inherent thermal storage; thermal inertia integrated heat and power dispatch; optimal unit commitment; district heating network; inherent thermal storage; thermal inertia
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Merkert, L.; Haime, A.A.; Hohmann, S. Optimal Scheduling of Combined Heat and Power Generation Units Using the Thermal Inertia of the Connected District Heating Grid as Energy Storage. Energies 2019, 12, 266.

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