KIT | KIT-Bibliothek | Impressum | Datenschutz

Detecting Residential Power Peaks for Innovative Tariff Designs: A Living Lab Experiment

Sandmeier, Thorben 1; Scharnhorst, Leandra ORCID iD icon 1; Geis-Schroer, Johanna ORCID iD icon 2; Ardone, Armin 1; Leibfried, Thomas 2; Fichtner, Wolf ORCID iD icon 1
1 Institut für Industriebetriebslehre und Industrielle Produktion (IIP), Karlsruher Institut für Technologie (KIT)
2 Institut für Elektroenergiesysteme und Hochspannungstechnik (IEH), Karlsruher Institut für Technologie (KIT)

Abstract:

As smart meters become increasingly prevalent in private households, the availability of high-resolution electricity load profiles creates new opportunities for innovative electricity tariffs. Already established in industry, innovative tariffs could consider power consumption in order to monitor and maintain grid stability. This study explores the crucial role of time granularity in detecting power peaks, which are frequently missed when using coarse temporal intervals, such as 15 minutes. Through the analysis of high-resolution electricity load data from a living lab experiment, this research aims to determine the sampling rate necessary for accurately detecting power peaks. Our findings indicate that a sampling rate of 1 minute generally allows for effective peak identification, while certain cases necessitate even higher sampling rates, such as 10 to 5 seconds, to account for brief yet intense power peaks. This highlights the importance of employing a high sampling rate in the design of electricity tariffs that incorporate peak power consumption from households. Moreover, our study demonstrates that the temporal resolution of sampled data significantly impacts the accurate detection of temporary load unbalance, further emphasizing the novelty and significance of considering time granularity in smart meter data analysis.

Zugehörige Institution(en) am KIT Institut für Elektroenergiesysteme und Hochspannungstechnik (IEH)
Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 01.03.2025
Sprache Englisch
Identifikator ISSN: 0378-7788
KITopen-ID: 1000178520
HGF-Programm 37.12.03 (POF IV, LK 01) Smart Areas and Research Platforms
Erschienen in Energy and Buildings
Verlag Elsevier
Band 330
Seiten 115350
Bemerkung zur Veröffentlichung Related dataset (hosted at RADAR4KIT): https://doi.org/10.35097/898
Vorab online veröffentlicht am 22.01.2025
Schlagwörter Electrical consumption data, Living lab experiment, Time series analysis, Power peaks, Temporal data aggregation, Smart meter
Nachgewiesen in Dimensions

Verlagsausgabe §
DOI: 10.5445/IR/1000178520
Veröffentlicht am 28.01.2025
Originalveröffentlichung
DOI: 10.1016/j.enbuild.2025.115350
Seitenaufrufe: 7
seit 29.01.2025
Downloads: 3
seit 29.01.2025
Cover der Publikation
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page