Offshore wind resource assessment by characterizing weather regimes based on self-organizing map
Bibliographic Data
| ID | 15550439 |
|---|---|
| Authors | Shangshang Yang (0009-0006-3662-5813, Nanjing University), Huiling Yuan (0000-0002-0654-0396, Nanjing University, corresponding author), Li Dong (0000-0003-0650-1765, Southern University of Science and Technology) |
| Year | 2022 |
| Volume | 17 |
| Issue | 12 |
| Pages | 124009-124009 |
| Publication date | 2022-11-15 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/aca2c2 |
| OpenAlex | W4309190844 |
| Language | EN |
| Citations received | 2 |
| References cited | 64 |
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
Climatology · Complementarity (molecular biology · Geography · Intermittency · Mesoscale meteorology · Meteorology · Offshore wind power · Wind power · Wind speed · Energy Load and Power Forecasting · Engineering · Environmental Science · Meteorological Phenomena and Simulations · Wind Energy Research and Development · Geology
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| Unique citing works | 2 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |