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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 Institut für Programmstrukturen und Datenorganisation (IPD), Karlsruher Institut für Technologie (KIT)

Abstract:

Microgrids are a promising solution for providing electricity access to rural populations in the Global South. To ensure such microgrids are affordable and effective, careful planning and dimensioning is required. Numerous tools exist to assist with this planning and dimensioning, however, they generally require microgrid electricity data, such as load profiles, as an input. Unfortunately, such electricity data is scarce for microgrids in the Global South and the little data that is available has a low temporal resolution. Therefore, we introduce high resolution real-world electricity data from three microgrids in the global south. The data is collected from microgrids in the Democratic Republic of Congo, Rwanda, and Haiti, and has a temporal resolution of up to five seconds. Furthermore, we include data from both residential and industrial microgrids, and consider microgrids with renewable generation from hydropower and photovoltaic arrays. We describe and analyse the characteristics of the recorded data and show how it can be used to derive flexible load profiles with varying temporal resolutions, useful for affordable microgrid planning and dimensioning.


Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Institut für Programmstrukturen und Datenorganisation (IPD)
Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Institut für Theoretische Informatik (ITI)
Publikationstyp Forschungsdaten
Publikationsdatum 23.05.2022
Erstellungsdatum 04.03.2022
Identifikator DOI: 10.5445/IR/1000143466
KITopen-ID: 1000143466
HGF-Programm 37.12.02 (POF IV, LK 01) Design,Operation & Digitalization of the Future Energy Grids
Lizenz Creative Commons Namensnennung 4.0 International
Projektinformation GRK 2153/2 (DFG, DFG KOORD, GRK 2153/2)
Schlagwörter microgrid, energy time series, electricity data, load profile, electricity demand, high resolution data, Global South, SDG7, Hydropower, PV, off-grid system, Africa, DR Congo, Rwanda, Haiti
Liesmich

This dataset was published as part of a paper submitted at the "International Workshop on Energy Data and Analytics" at ACM e-Energy 2022 with the title "High Resolution Real-World Electricity Data from Three Microgrids in the Global South" in which the data set is described. Further explanations can be found in the file "Symbols_Units_Explanations".

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