Correlation between wind power generation in the European countries

Olauson, Jon; Bergkvist, Magnus

doi:10.1016/j.energy.2016.08.036

Cited by 30 publications

(25 citation statements)

References 11 publications

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“…Recent work in the UK and Europe has used global reanalysis data to simulate wind power, for example, examining the correlation between generation across Europe [20] and developing validated generation time series for specific countries [21]. The Renewables.ninja platform uses a consistent method to simulate both wind [22] and PV power [23] with calibration, as does the European Commission's more recent EMHIRES project [24,25].…”

Section: Introductionmentioning

confidence: 99%

The increasing impact of weather on electricity supply and demand

Staffell

Pfenninger

2018

Energy

242

109

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a b s t r a c tWind and solar power have experienced rapid cost declines and are being deployed at scale. However, their output variability remains a key problem for managing electricity systems, and the implications of multi-day to multi-year variability are still poorly understood. As other energy-using sectors are electrified, the shape and variability of electricity demand will also change. We develop an open framework for quantifying the impacts of weather on electricity supply and demand using the Renewables.ninja and DESSTINEE models. We demonstrate this using a case study of Britain using National Grid's Two Degrees scenario forwards to 2030.We find the British electricity system is rapidly moving into unprecedented territory, with peak demand rising above 70 GW due to electric heating, and intermittent renewable output exceeding demand as early as 2021. Hourly ramp-rates widen by 50% and year-to-year variability increases by 80%, showing why future power system studies must consider multiple years of data, and the influence of weather on both supply and demand. Our framework is globally applicable, and allows detailed scenarios of hourly electricity supply and demand to be explored using only limited input data such as annual quantities from government scenarios or broader energy systems models.

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Section: Introductionmentioning

confidence: 99%

The increasing impact of weather on electricity supply and demand

Staffell

Pfenninger

2018

Energy

242

109

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“…The results show the contribution of the smoothing effect to optimise the reserve capacities in case of Moroccan wind farms, such study already done in countries level [8, 9] and continent level [10–12]. This optimisation can be also possible through expanding the balancing zones (dispatching) to reduce the variability, uncertainty of the load and the renewable generation by smoothing out differences between consumption and generators.…”

Section: Resultsmentioning

confidence: 74%

“…In Kenya, another study shows that ‘the spread effect is important when the sites are considered for integration in the power system’ and ‘Concentration of wind farms in one region could result in a higher increase in operating reserve and vice‐versa’ [9]. For regional impact of smoothing effect, a study on the correlation between wind power generation in the European countries shows that the correlation in hourly energy decreases with separation distance in a manner often described by an exponential function [10], for the same region, a recent study shows that an ‘optimised allocation increases the average output from 20% to around 30%, and significantly reduces the frequency of low output values [11]’. Another study titled ‘The Smoothing Effect in an Afro‐Eurasian Renewable Power Grid’ shows that a sufficient interconnections between Europe, Africa and Asia lead to a relative reduction of the total backup energy need of ca.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the reserve capacity in a grid supplied by intermittent energy sources

Choukri

Naddami

Hayani

2017

IET Renewable Power Generation

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Renewable energy (RnE) is a key element for the national energy strategies in the world especially for emerging and developing countries. Morocco, which has no conventional energy resources, depends almost entirely on the international primary energy market, to satisfy its growing demand inherent to its economic growth and its demographic progression, the country import the majority for its supply of energy sources. Morocco has implemented an important energy strategy that supports the country's transition to RnE and energy efficiency that generalises across all consumer sectors of the economy (housing, transport, industry). However, the integration of renewables into power systems and the development of adequate reserve capacity are seem to be significant for these strategies in particular in the wind power case. This study presents the impact of the smoothing effect on reserve capacity and energy savings available through the net balancing between different climate zones to achieve fuel cost savings and reduce CO 2 emissions.

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“…In Kenya, another study shows that “the spread effect is important when the sites are considered for integration in the power system” and “Concentration of wind farms in one region could result in a higher increase in operating reserve and vice-versa” (Barasa and Aganda, 2016). For regional impact of smoothing effect, a study on the correlation between wind power generation in the European countries shows that the correlation in hourly energy decreases with separation distance in a manner often described by an exponential function (Olauson and Bergkvist, 2016); for the same region, a recent study shows that an “Optimized allocation increases the average output from 20% to around 30%, and significantly reduces the frequency of low output values” (Sasaki et al, 2014). Another study titled “The Smoothing Effect in an Afro-Eurasian Renewable Power Grid” shows that sufficient interconnections between Europe, Africa, and Asia lead to a relative reduction of the total backup energy need of 50% (from 15% of the consumption to 7.5%; Krutova et al, 2016).…”

Section: Deep Analysis Of Smoothing Effectmentioning

confidence: 99%

Deep analysis of wind variability and smoothing effect in Moroccan wind farms

2017

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The Moroccan energy strategy has set new targets of reaching 52% of installed renewable energy capacity by 2030, through the development of renewable energy, including solar and wind energy. The massive use of renewables leads the country to deal with its intermittency and improve its integration in the grid. The offset between wind farms generation in different regions is essential for quantifying the reduction of intermittency when we chose wind farms sites. This offset, the smoothing effect, is analyzed deeply in this article to evaluate different compensation zones. Six wind farms with wind power variability and their potential impact on the capacity reserve are presented. The site's power was generated from reel hourly data during 12 months. Results show that energy fluctuation depends on typical wind regimes and the capacity of farms. North wind farms (280 MW) produce 50% of the maximum during 43% of time and south wind farms produce it only 17% of time. The first farm's power consistently spreads more than south farms, but also more smoothed. The average intermittency reduced as farm capacity increased due to the turbine smoothing effect and the reserve requirements increased on average. The behavior of south wind farms is more correlated, then the backup needed will be less.

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Correlation between wind power generation in the European countries

Cited by 30 publications

References 11 publications

The increasing impact of weather on electricity supply and demand

The increasing impact of weather on electricity supply and demand

Evaluation of the reserve capacity in a grid supplied by intermittent energy sources

Deep analysis of wind variability and smoothing effect in Moroccan wind farms

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