Offshore wind resource assessment by characterizing weather regimes based on self-organizing map

As offshore wind power is continuously integrated into the electric power systems in around the world, it is critical to understand its variability. Weather regimes (WRs) can provide meteorological explanations for fluctuations in wind power. Instead of relying on traditional large-scale circulation...

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Bibliographic Details
Published in:Environmental research letters 2022-12, Vol.17 (12), p.124009
Main Authors: Yang, Shangshang, Yuan, Huiling, Dong, Li
Format: Article
Language:English
Subjects:
Algorithms
Capacity factor
Coastal zone
Complementarity
Electric power
Electric power systems
Intermittency
Offshore energy sources
offshore wind resource assessment
Renewable energy
Resource evaluation
Self organizing maps
self-organizing map
System effectiveness
Variability
Weather
weather regime
Wind power
Wind power generation
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Summary:As offshore wind power is continuously integrated into the electric power systems in around the world, it is critical to understand its variability. Weather regimes (WRs) can provide meteorological explanations for fluctuations in wind power. Instead of relying on traditional large-scale circulation WRs, this study focuses on assessing the dependency of wind resources on WRs in the tailored region clustered based on the finer spatial scale. For this purpose, we have applied self-organizing map algorithm to cluster atmospheric circulations over the South China Sea (SCS) and characterized wind resources for the classified WRs. Results show that WRs at mesoscale can effectively capture weather systems driving wind power production variability, especially on multi-day timescale. Capacity factor reconstruction during four seasons illustrates that WRs highly influence most areas in winter and southern part of SCS in summer, and WRs can serve as a critical source of predicting the potential of wind resources. In addition, we further qualify the wind power intermittency and complementarity under different WRs, which have not been assessed associated with WRs. During WRs with changeable atmosphere conditions, the high complementarity over coastal areas can reduce the impact of intermittency on wind power generation. The proposed approach is able to be implemented in any region and may benefit wind resource evaluation and characterization.
ISSN:1748-9326
1748-9326
DOI:10.1088/1748-9326/aca2c2