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Analyzing Europe’s Biggest Offshore Wind Farms: A Data Set with 40 Years of Hourly Wind Speeds and Electricity Production

Grothe, O. 1; Kächele, F. ORCID iD icon 1; Watermeyer, M. ORCID iD icon 1
1 Institut für Operations Research (IOR), Karlsruher Institut für Technologie (KIT)

Abstract:

We provide an open, available, and ready-to-use data set covering 40 years of hourly wind speeds and synthetic hourly production signals for the 29 biggest offshore wind farms in Europe. It enables researchers and industry experts to include realistic offshore time series into their analyses. In particular, we provide data from 1980 to 2019 for wind farms already in operation and those that will be in operation by 2024. We document in detail how the data set was generated from publicly available sources and provide manually collected details on the wind farms, such as the turbine power curves. Correspondingly, the users can easily keep the data set up to date and add further wind farm locations as needed. We give a descriptive analysis of the data and its correlation structure and find a relatively high volatility and intermittency for single locations, with balancing effects across wind farms.


Verlagsausgabe §
DOI: 10.5445/IR/1000143595
Veröffentlicht am 11.03.2022
Originalveröffentlichung
DOI: 10.3390/en15051700
Scopus
Zitationen: 9
Web of Science
Zitationen: 5
Dimensions
Zitationen: 11
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Operations Research (IOR)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 1996-1073
KITopen-ID: 1000143595
Erschienen in Energies
Verlag MDPI
Band 15
Heft 5
Seiten Art.-Nr.: 1700
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Schlagwörter offshore; Europe; electric power system; wind power; energy system design; renewable energy
Nachgewiesen in Scopus
Dimensions
Web of Science
Globale Ziele für nachhaltige Entwicklung Ziel 7 – Bezahlbare und saubere Energie
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