Identification of Extreme Wind Events Using a Weather Type Classification

The identification of extreme wind events and their driving forces are crucial to better integrating wind generation into the power system. Recent work related the occurrence of extreme wind events with some weather circulation patterns, enabling the identification of (i) wind power ramps and (ii) l...
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Autor*in:	António Couto [verfasserIn] Paula Costa [verfasserIn] Teresa Simões [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	wind power meteorology weather regimes extreme events wind power variability wind power ramps

Übergeordnetes Werk:	In: Energies - MDPI AG, 2008, 14(2021), 13, p 3944
Übergeordnetes Werk:	volume:14 ; year:2021 ; number:13, p 3944

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/en14133944

Katalog-ID:	DOAJ013325507

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spelling	10.3390/en14133944 doi (DE-627)DOAJ013325507 (DE-599)DOAJ5e415b38825141d2ab240ee9fe900057 DE-627 ger DE-627 rakwb eng António Couto verfasserin aut Identification of Extreme Wind Events Using a Weather Type Classification 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The identification of extreme wind events and their driving forces are crucial to better integrating wind generation into the power system. Recent work related the occurrence of extreme wind events with some weather circulation patterns, enabling the identification of (i) wind power ramps and (ii) low-generation events as well as their intrinsic features, such as the intensity and time duration. Using Portugal as a case study, this work focuses on the application of a weather classification-type methodology to link the weather conditions with wind power generation, namely, the different types of extreme events. A long-term period is used to assess and characterize the changes in the occurrence of extreme weather events and corresponding intensity on wind power production. High variability is expected under cyclonic regimes, whereas low-generation events are most common in anticyclonic regimes. The results of the work provide significant insights regarding wind power production in Portugal, enabling an increase in its predictability. wind power meteorology weather regimes extreme events wind power variability wind power ramps Technology T Paula Costa verfasserin aut Teresa Simões verfasserin aut In Energies MDPI AG, 2008 14(2021), 13, p 3944 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:14 year:2021 number:13, p 3944 https://doi.org/10.3390/en14133944 kostenfrei https://doaj.org/article/5e415b38825141d2ab240ee9fe900057 kostenfrei https://www.mdpi.com/1996-1073/14/13/3944 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2021 13, p 3944
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language	English
source	In Energies 14(2021), 13, p 3944 volume:14 year:2021 number:13, p 3944
sourceStr	In Energies 14(2021), 13, p 3944 volume:14 year:2021 number:13, p 3944
format_phy_str_mv	Article
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topic_facet	wind power meteorology weather regimes extreme events wind power variability wind power ramps Technology T
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authorswithroles_txt_mv	António Couto @@aut@@ Paula Costa @@aut@@ Teresa Simões @@aut@@
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author	António Couto
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topic_title	Identification of Extreme Wind Events Using a Weather Type Classification wind power meteorology weather regimes extreme events wind power variability wind power ramps
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title_auth	Identification of Extreme Wind Events Using a Weather Type Classification
abstract	The identification of extreme wind events and their driving forces are crucial to better integrating wind generation into the power system. Recent work related the occurrence of extreme wind events with some weather circulation patterns, enabling the identification of (i) wind power ramps and (ii) low-generation events as well as their intrinsic features, such as the intensity and time duration. Using Portugal as a case study, this work focuses on the application of a weather classification-type methodology to link the weather conditions with wind power generation, namely, the different types of extreme events. A long-term period is used to assess and characterize the changes in the occurrence of extreme weather events and corresponding intensity on wind power production. High variability is expected under cyclonic regimes, whereas low-generation events are most common in anticyclonic regimes. The results of the work provide significant insights regarding wind power production in Portugal, enabling an increase in its predictability.
abstractGer	The identification of extreme wind events and their driving forces are crucial to better integrating wind generation into the power system. Recent work related the occurrence of extreme wind events with some weather circulation patterns, enabling the identification of (i) wind power ramps and (ii) low-generation events as well as their intrinsic features, such as the intensity and time duration. Using Portugal as a case study, this work focuses on the application of a weather classification-type methodology to link the weather conditions with wind power generation, namely, the different types of extreme events. A long-term period is used to assess and characterize the changes in the occurrence of extreme weather events and corresponding intensity on wind power production. High variability is expected under cyclonic regimes, whereas low-generation events are most common in anticyclonic regimes. The results of the work provide significant insights regarding wind power production in Portugal, enabling an increase in its predictability.
abstract_unstemmed	The identification of extreme wind events and their driving forces are crucial to better integrating wind generation into the power system. Recent work related the occurrence of extreme wind events with some weather circulation patterns, enabling the identification of (i) wind power ramps and (ii) low-generation events as well as their intrinsic features, such as the intensity and time duration. Using Portugal as a case study, this work focuses on the application of a weather classification-type methodology to link the weather conditions with wind power generation, namely, the different types of extreme events. A long-term period is used to assess and characterize the changes in the occurrence of extreme weather events and corresponding intensity on wind power production. High variability is expected under cyclonic regimes, whereas low-generation events are most common in anticyclonic regimes. The results of the work provide significant insights regarding wind power production in Portugal, enabling an increase in its predictability.
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Identification of Extreme Wind Events Using a Weather Type Classification

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