A multilevel demand response profiling and modeling solution enabled by digital twins integration

Christos Mountzouris1, Stylianos Karatzas2, Grigorios Protopsaltis1, John Gialelis1, Athanasios Chassiakos2, Niall Byrne3, Giovanni Tardioli4
1 University of Patras, Electrical and Computer Department, Patras, Greece
2 University of Patras, Civil Engineering Department, Patras, Greece
3 IES R&D, Castleforbes Road North Wall Dublin 1,Dublin D01 A8N02
4 Integrated Environmental Solutions Ltd, Helix Building, Kelvin Campus, West of Scotland Science Park, Glasgow G20 0SP UK
DOI: 10.35490/EC3.2023.312
Abstract: A key aspect of flexibility is demand response (DR), where consumers adjust their energy consumption through pricing signals and financial incentives, reducing peak demand and increasing usage during low-demand periods. This enhances the utilization of renewable energy and stabilizes the electricity grid. The integration of Internet of Things (IoT) and Digital Twins (DT) technology in DR transforms energy flexibility into a valuable distributed energy resource asset. This paper presents a demand response framework that lowers the operating costs, and efficiently handles the stochasticity of the energy demand and generation.
Keywords: buildings, consumers, demand response, Digital Twins, flexibility
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