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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 1; Britto, Anthony ORCID iD icon 1; Wolf, Matthias ORCID iD icon 2; Lutz, Marek; Kraft, Johann ORCID iD icon; Luh, Matthias ORCID iD icon 1; Phipps, Kaleb ORCID iD icon 1; Britto, Anthony ORCID iD icon 1; Wolf, Matthias ORCID iD icon 2; Lutz, Marek; Kraft, Johann ORCID iD icon
1 Institut für Programmstrukturen und Datenorganisation (IPD), Karlsruher Institut für Technologie (KIT)
2 Institut für Theoretische Informatik (ITI), 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.


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Originalveröffentlichung
DOI: 10.35097/1305
Zugehörige Institution(en) am KIT Institut für Programmstrukturen und Datenorganisation (IPD)
Institut für Theoretische Informatik (ITI)
Publikationstyp Forschungsdaten
Publikationsdatum 21.06.2023
Identifikator KITopen-ID: 1000168593
Lizenz Creative Commons Namensnennung 4.0 International
Schlagwörter Engineering, 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
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