Associating Synoptic-Scale Weather Patterns with Aggregated Offshore Wind Power Production and Ramps
Autor: | Sukanta Basu, Bedassa R. Cheneka, Simon J. Watson |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Technology
Control and Optimization 010504 meteorology & atmospheric sciences Meteorology 020209 energy Astrophysics::High Energy Astrophysical Phenomena Energy Engineering and Power Technology 02 engineering and technology Belgian wind power 01 natural sciences Synoptic scale meteorology Weather regimes 0202 electrical engineering electronic engineering information engineering Production (economics) Electrical and Electronic Engineering Engineering (miscellaneous) Physics::Atmospheric and Oceanic Physics 0105 earth and related environmental sciences Condensed Matter::Quantum Gases frequency of ramps self-organizing maps weather regimes Wind power Self-organizing maps Renewable Energy Sustainability and the Environment business.industry Offshore wind power Frequency of ramps Physics::Space Physics Environmental science Physics::Accelerator Physics business Weather patterns Energy (miscellaneous) |
Zdroj: | Energies, 14(13) Energies; Volume 14; Issue 13; Pages: 3903 Energies, Vol 14, Iss 3903, p 3903 (2021) |
ISSN: | 1996-1073 |
DOI: | 10.3390/en14133903 |
Popis: | Large-scale weather patterns and their variability can influence both the amount of wind power production and its temporal variation, i.e., wind power ramps. In this study, we use a self-organizing map to cluster hourly sea level pressure into a discrete number of weather patterns. The dependency of wind power production and wind power ramps on these weather patterns is studied for the Belgian offshore wind farm fleet. A newly developed wavelet-surrogate ramp-detection algorithm is used for the identification of wind power ramps. It was observed that low-pressure systems, southwesterly and northeasterly wind flows are often associated with high levels of wind power production. Regarding wind power ramps, the type of transition between weather patterns was shown to determine whether ramp up or ramp down events would occur. Ramp up events tend to occur due to the transition from a high-pressure to a low-pressure system, or the weakening of the intensity of a deep low-pressure system. The reverse is associated with ramp down events. |
Databáze: | OpenAIRE |
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