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High-resolution real-world electricity data from three microgrids in the global south

Luh, Matthias ORCID iD icon 1; Phipps, Kaleb ORCID iD icon 2; Britto, Anthony ORCID iD icon 3; Wolf, Matthias ORCID iD icon 4; Lutz, Marek 5; Kraft, Johann ORCID iD icon 5
1 Institut für Prozessdatenverarbeitung und Elektronik (IPE), Karlsruher Institut für Technologie (KIT)
2 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)
3 Institut für Industriebetriebslehre und Industrielle Produktion (IIP), Karlsruher Institut für Technologie (KIT)
4 Institut für Theoretische Informatik (ITI), Karlsruher Institut für Technologie (KIT)
5 Karlsruher Institut für Technologie (KIT)

Abstract:

Microgrids are a promising solution for providing renewable electricity access to rural populations in the Global South. To ensure such renewable microgrids are affordable, careful planning and dimensioning are required. High-resolution data on electricity generation and consumption is necessary for optimal design. Unfortunately, real-world electricity data for microgrids in the Global South is scarce, and the limited data that is available has a low temporal resolution. Therefore, in this paper, we introduce a unique high-resolution real-world electricity data set from three micro-grids in the Democratic Republic of the Congo, Rwanda, and Haiti. The data has a temporal resolution of up to five seconds and focuses on microgrids with renewable generation from either hydropower or photovoltaic systems. Furthermore, we include data from both residential and industrial microgrids. We describe the recorded data and highlight the advantages of the high resolution. We demonstrate how this resolution offers insight into consumption patterns and enables the analysis of grid voltage and frequency, which is highly relevant for the planning and dimensioning of affordable renewable microgrids in the Global South.


Verlagsausgabe §
DOI: 10.5445/IR/1000149157
Veröffentlicht am 28.07.2022
Originalveröffentlichung
DOI: 10.1145/3538637.3539763
Scopus
Zitationen: 1
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Institut für Theoretische Informatik (ITI)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 28.06.2022
Sprache Englisch
Identifikator ISBN: 978-1-4503-9397-3
KITopen-ID: 1000149157
HGF-Programm 37.12.02 (POF IV, LK 01) Design,Operation & Digitalization of the Future Energy Grids
Erschienen in e-Energy '22: Proceedings of the Thirteenth ACM International Conference on Future Energy Systems
Veranstaltung 13th ACM International Conference on Future Energy Systems (e-Energy 2022), Online, 28.06.2022 – 01.07.2022
Verlag Association for Computing Machinery (ACM)
Seiten 496–514
Nachgewiesen in Scopus
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