The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/ff8c99b5-c273-4ae0-9c82-4ade1391813a

Simao Ferreira, Carlos (2024): Offshore wind farm energy production database . Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/ff8c99b5-c273-4ae0-9c82-4ade1391813a.v1

Dataset

• Energy Storage, Distribution and Supply
• Other Engineering
• Energy Exploration
• Energy Conservation and Efficiency
• Renewable Energy
• Atmosphere and Weather
• Engineering
• Economics
• Energy
• Technology
• Environmental Sciences
• Environment

Baltic Sea, Capacity Factor, Irish Sea, Load Factor, North Sea, Offshore Wind Energy, Renewable Energy, Wind Energy, Wind Farm, Wind Farm model

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2010-2023

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Carlos Simao Ferreira

The database created encompasses a comprehensive collection of operational and environmental parameters from over seventy offshore wind farms situated in the Baltic, North, and Irish Seas. This dataset was compiled to analyze the impact of wind farm density on their efficiency and capacity factors. The objective was to support the development of a robust analytical framework capable of assessing the limitations and optimization potentials of offshore wind energy under varying geographic and climatic conditions.

Database Structure

The database consists of several key components structured to facilitate both broad and detailed analyses:

1. Wind Farm Characteristics:

• Name and location.
• Technical Specifications: Turbine power, hub height, rotor diameter, installed capacity (in MW), and total area (in km²).

1. Operational Data:

• Annual Production Data: Historical yearly energy output recorded, including sources.
• Capacity Factor Data: Real-world capacity factor based on the actual output compared to the theoretical maximum output.

1. Environmental and Technical Parameters:

• Wind Data: Average wind speed at given height, Weibull distribution parameters.

1. Model Inputs and Outputs:

• Finite wind-farm effect scaling parameter
• Predicted Capacity Factors: Results from the closed-form analytical model applied to each wind farm, estimating potential capacity factors under ideal, isolated, and infinite array conditions.

Data Collection Methodology

Data were primarily sourced from publicly available databases, technical reports and other sources. These are listed in a report.

• 2024-05-13 first online, published, posted

4TU.ResearchData

pdf, xlsx

TU Delft, Faculty of Aerospace Engineering, Department of Flow Physics and Technology, Wind Energy