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Using demand side management and CHP in renewable dominated decentral energy systems: a case study

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Computer Science - Research and Development

Abstract

Germany targets to increase the electricity generation from renewable energy sources and combined heat and power plants. The selected targets increase the total cost of electricity carried by consumers as well as increases the share of decentralized energy generation. To achieve higher cost effectiveness as well as increasing the decentralized share of renewable energy, pressure is put on decentralized energy system operation management and expansion planning. This work studies a decentralized expansion planning with a special focus in generating flexibility options in a decentralized region with a high share of renewable energy generation. The analysis is conducted with a scenario-based optimization modeling approach. The results show that flexibility options can reduce the cost of the system. However, the side effect of a decentralized market-oriented operation can lead to a difficulty of grid control. The region should set a long term expansion plan with the consideration of flexibility options, generation technologies as well as ICT infrastructure.

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Notes

  1. www.100-ee.de.

References

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  6. Wanapinit N (2016) Techno-economic evaluation of decentralized energy system expansion using an optimization model: a case study of a high renewable energy generation region in Germany. Master thesis, University of Freiburg

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Acknowledgements

The publication of this work has been financially supported by the German Ministry for Economic Affairs and Energy within the project “NEMAR” looking at the electricity and smart grid infrastructure.

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Correspondence to Niklas Hartmann.

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Hartmann, N., Thomsen, J. & Wanapinit, N. Using demand side management and CHP in renewable dominated decentral energy systems: a case study. Comput Sci Res Dev 33, 193–198 (2018). https://doi.org/10.1007/s00450-017-0358-3

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  • DOI: https://doi.org/10.1007/s00450-017-0358-3

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