The Impact of Future Offshore Wind Farms on Wind Power Generation in Great Britain

Drew, Daniel R.; Cannon, Dirk; Brayshaw, David; Barlow, Janet F.; Coker, Phil

doi:10.3390/resources4010155

Cited by 44 publications

(46 citation statements)

References 17 publications

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“…Current wind farm distribution in the UK exhibits a mean value of 32.7% [29] (study described in Section 3.1.3). The annual capacity factor for future wind farm distribution is consistently larger, with a mean value of 39.7%.…”

Section: Windmentioning

confidence: 99%

“…Reproduced with permission from T. Aigner. 3.1.3. The Impact of Future Offshore Wind Farms on Wind Power Generation in the UK [29] This study incorporates two cases from the UK: (1) the "current" wind farm distribution involving approximately 10.2 GW installed capacity spread across 317 wind farms; and (2) a "future" distribution scenario involving approximately 50 GW capacity distributed across 515 installations. Offshore wind makes a significant contribution to capacity in scenario 2 (75% of total wind capacity), compared with 35% in the current scenario (1).…”

Section: A Simulation Of Large-scale Wind Power Production Based On Rmentioning

confidence: 99%

“…Future trends also have to be taken into consideration [46]. Sources [22,29] reveal very different yearly capacity factors. There are two probable reasons for this: ‚ Source [29] considers only the UK which as a country has among the best wind resources in Europe, while source [22] analyses Europe as a whole.…”

Section: Windmentioning

confidence: 99%

“…‚ Source [29] assumes a greater contribution from offshore wind (75%) to the production portfolio than source [22] (25%). Table 4 shows the hourly variation in wind power production for the Nordic region [47].…”

Section: Windmentioning

confidence: 99%

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Variability Characteristics of European Wind and Solar Power Resources—A Review

Graabak

Korpås

2016

Energies

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This paper reviews the most recent and relevant research into the variability characteristics of wind and solar power resources in Europe. The background for this study is that wind and solar resources will probably constitute major components of the future European power system. Such resources are variable, and EU plans to balance the variability with more grids and demand response. Thus, planning for the future power system requires an in-depth understanding of the variability. Resource variability is a multi-faceted concept best described using a range of distinct characteristics, and this review is structured on the basis of seven of these: Distribution Long-Term (hours to years), Distribution Short-Term (less than one hour), Step Changes, Autocorrelation, Spatial Correlation, Cross Correlation and Predictable Patterns. The review presents simulations and empirical results related to resource variability for each of these characteristics. Results to date reveal that the variability characteristics of the future power system is limited understood. This study recommends the development of a scheme for greater systematic assessment of variability. Such a scheme will contribute to the understanding of the impacts of variability and will make it possible to compare alternative power production portfolios and impacts of grid expansions, demand response and storage technologies.

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Section: Windmentioning

confidence: 99%

Section: A Simulation Of Large-scale Wind Power Production Based On Rmentioning

confidence: 99%

Section: Windmentioning

confidence: 99%

Section: Windmentioning

confidence: 99%

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Variability Characteristics of European Wind and Solar Power Resources—A Review

Graabak

Korpås

2016

Energies

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“…Further, wind power generation statistics taking the wind farm distribution and installed power into account (e.g. Drew et al, 2015) should be analysed.…”

Section: Summary and Discussionmentioning

confidence: 99%

Decadal predictability of regional scale wind speed and wind energy potentials over Central Europe

Moemken¹,

Reyers²,

Buldmann

et al. 2016

Tellus A: Dynamic Meteorology and Oceanography

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A B S T R A C T Decadal predictions on timescales from one year to one decade are gaining importance since this time frame falls within the planning horizon of politics, economy and society. The present study examines the decadal predictability of regional wind speed and wind energy potentials in three generations of the MiKlip ('Mittelfristige Klimaprognosen') decadal prediction system. The system is based on the global Max-Planck-Institute Earth System Model (MPI-ESM), and the three generations differ primarily in the ocean initialisation. Ensembles of uninitialised historical and yearly initialised hindcast experiments are used to assess the forecast skill for 10 m wind speeds and wind energy output (Eout) over Central Europe with lead times from one year to one decade. With this aim, a statistical-dynamical downscaling (SDD) approach is used for the regionalisation. Its added value is evaluated by comparison of skill scores for MPI-ESM large-scale wind speeds and SDD-simulated regional wind speeds. All three MPI-ESM ensemble generations show some forecast skill for annual mean wind speed and Eout over Central Europe on yearly and multi-yearly time scales. This forecast skill is mostly limited to the first years after initialisation. Differences between the three ensemble generations are generally small. The regionalisation preserves and sometimes increases the forecast skills of the global runs but results depend on lead time and ensemble generation. Moreover, regionalisation often improves the ensemble spread. Seasonal Eout skills are generally lower than for annual means. Skill scores are lowest during summer and persist longest in autumn. A large-scale westerly weather type with strong pressure gradients over Central Europe is identified as potential source of the skill for wind energy potentials, showing a similar forecast skill and a high correlation with Eout anomalies. These results are promising towards the establishment of a decadal prediction system for wind energy applications over Central Europe.

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Energy Interactions

Coker¹,

Torriti²

2018

Sustainable Futures in the Built Environment to 2050

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The Impact of Future Offshore Wind Farms on Wind Power Generation in Great Britain

Cited by 44 publications

References 17 publications

Variability Characteristics of European Wind and Solar Power Resources—A Review

Variability Characteristics of European Wind and Solar Power Resources—A Review

Decadal predictability of regional scale wind speed and wind energy potentials over Central Europe

Energy Interactions

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