Incentive models for electricity customers to participate in a cloud-based energy management system to generate flexibilities

Fehrle A, Teske F, Franke J (2022)

Publication Type: Conference contribution

Publication year: 2022

Original Authors: Adrian Fehrle, Franz Teske, Jorg Franke

Conference Proceedings Title: IEEE PES Innovative Smart Grid Technologies

Event location: Singapur SG

DOI: 10.1109/ISGTAsia54193.2022.10003551

Abstract

The energy transition poses major challenges to utilities due to the decentralized and volatile feed-in of renewable energies as well as the increasing numbers of electric vehicles. As part of the Cloud|E research project, an intelligent cloud-based energy management system (EMS) is being developed in which flexibility options are made available to the utilities by connecting components for power generation, power storage, and large loads in private households. However, to enable such a cloud-driven EMS, the households need to be motivated to participate in this cloud-based system. For this purpose, three different incentive models are presented in this paper. These models are compared and evaluated with the help of a user acceptance study. The study shows a fundamentally very high willingness to integrate components into a cloud system. At the same time, however, it also reveals a clear difference in the interests of customers according to age group.

Authors with CRIS profile

Adrian Fehrle Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik Franz Teske Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik Jörg Franke Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik

How to cite

APA:

Fehrle, A., Teske, F., & Franke, J. (2022). Incentive models for electricity customers to participate in a cloud-based energy management system to generate flexibilities. In IEEE PES Innovative Smart Grid Technologies. Singapur, SG.

MLA:

Fehrle, Adrian, Franz Teske, and Jörg Franke. "Incentive models for electricity customers to participate in a cloud-based energy management system to generate flexibilities." Proceedings of the 2022 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia), Singapur 2022.

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