Alternativer Identifier:
(KITopen-DOI) 10.5445/IR/1000143466
Verwandter Identifier:
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Ersteller/in:
Luh, Matthias https://orcid.org/0000-0003-4731-2207 [Institut für Prozessdatenverarbeitung und Elektronik]

Phipps, Kaleb https://orcid.org/0000-0002-9197-1739 [Institut für Automation und angewandte Informatik]

Britto, Anthony https://orcid.org/0000-0002-5799-3248 [Institut für Industriebetriebslehre und Industrielle Produktion]

Wolf, Matthias https://orcid.org/0000-0003-1411-6330 [Institut für Theoretische Informatik]

Lutz, Marek [Institut für Programmstrukturen und Datenorganisation]

Kraft, Johann https://orcid.org/0000-0002-8888-7878 [Institut für Programmstrukturen und Datenorganisation]
Beitragende:
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Titel:
High-Resolution Real-World Electricity Data from Three Microgrids in the Global South
Weitere Titel:
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Beschreibung:
(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.
(Technical Remarks) 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".
Schlagworte:
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
Zugehörige Informationen:
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Sprache:
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Erstellungsjahr:
Fachgebiet:
Engineering
Objekttyp:
Dataset
Datenquelle:
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Verwendete Software:
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Datenverarbeitung:
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Erscheinungsjahr:
Förderung:
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Status:
Publiziert
Eingestellt von:
kitopen
Erstellt am:
Archivierungsdatum:
2023-06-21
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988,6 MB
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kitopen
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