Forging a Dialogue Between the Energy Industry and the Meteorological Community

Troccoli, Alberto; Dubus, Laurent; Haupt, Sue Ellen; Boulahya, Mohammed Sadeck; Dorling, Stephen

doi:10.1007/978-3-319-68418-5_5

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…A range of different scales and phenomena contribute to the variability in power generation from WTs (Troccoli et al 2014). These range upward from the smallest (a and b) microscales (length scales from 30 m to 3 km) that are associated with surface-layer and boundary layer turbulence (Stull 2017).…”

Section: Introduction and Objectivesmentioning

confidence: 99%

Variability in Wind Energy Generation across the Contiguous United States

Pryor

Letson

Barthelmie

2020

Journal of Applied Meteorology and Climatology

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ERA5 provides high-resolution, high quality hourly wind speeds at 100 m and is a unique resource for quantifying temporal variability in likely wind-derived power production across the USA. Gross capacity factors (CF) in seven independent system operators (ISOs) are estimated using the location and rated power of each wind turbine, a simplified power curve and ERA5 output from 1979-2018. Excluding the California ISO, the marginal probability of a calm (zero power production) is less than 0.1 in any ERA5 grid cell. When a calm occurs, the mean co-occurrence across wind turbine containing grid cells ranges from 0.38-0.39 for ISOs in the Midwest and Central Plains (MISO, SPP and ERCOT), increasing to 0.54-0.58 for ISOs in the eastern USA (PJM, NYISO and NEISO). Periods with low gross CF have a median duration of ≤?6 hours except in California, and are most likely during summer. Gross CF exhibit highest variance at periods of one day in ERCOT and SPP, on synoptic scales in MISO, NEISO and NYISO and on inter-annual timescales in PJM. This implies differences in optimal strategies for ensuring resilience of supply. Theoretical scenarios show adding wind energy capacity near existing wind farms is advantageous even in areas with high existing installed capacity (IC), while expanding into areas with lower IC is more beneficial to reducing ramps and the probability of gross CF falling below 20%. These results emphasize the benefits of large balancing areas and aggregation in reducing wind power variability and the likelihood of wind droughts.

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Section: Introduction and Objectivesmentioning

confidence: 99%

Variability in Wind Energy Generation across the Contiguous United States

Pryor

Letson

Barthelmie

2020

Journal of Applied Meteorology and Climatology

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show abstract

“…state that accumulated rainfall of 1,000 to 1,500 mm, well distributed throughout the cassava crop cycle, is important to obtain high productivity. Meanwhile,Troccoli et al (2014) emphasize that rainfall accumulations from 400 to 750 mm are sufficient for a high yield of cassava roots. Therefore, according to what the researchers claim, and the distribution of rainfall during the growing season, it is possible to say that the Forest Zone region, in the state of Alagoas, has enough annual rainfall to meet the demand for cassava, however, the seasonality of the rain generates a dry period in the region that justifies the adoption of irrigation, given that the deficit water generates a reduction in the productivity of cassava.…”

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confidence: 99%