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Measuring significant variability characteristics: An assessment of three UK renewables

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  • Coker, Phil
  • Barlow, Janet
  • Cockerill, Tim
  • Shipworth, David

Abstract

The variability of renewable energy is widely recognised as a challenge for integrating high levels of renewable generation into electricity systems. However, to explore its implications effectively, variability itself should first be clearly understood. This is particularly true for national electricity systems with high planned penetrations of renewables and limited interconnection such as the UK.

Suggested Citation

  • Coker, Phil & Barlow, Janet & Cockerill, Tim & Shipworth, David, 2013. "Measuring significant variability characteristics: An assessment of three UK renewables," Renewable Energy, Elsevier, vol. 53(C), pages 111-120.
    • Handle: RePEc:eee:renene:v:53:y:2013:i:c:p:111-120
    DOI: 10.1016/j.renene.2012.11.013
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    References listed on IDEAS

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    Cited by:

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    9. Pearre, Nathaniel & Swan, Lukas, 2020. "Reimagining renewable electricity grid management with dispatchable generation to stabilize energy storage," Energy, Elsevier, vol. 203(C).
    10. Nycander, Elis & Morales-España, Germán & Söder, Lennart, 2022. "Power-based modelling of renewable variability in dispatch models with clustered time periods," Renewable Energy, Elsevier, vol. 186(C), pages 944-956.
    11. Widén, Joakim & Carpman, Nicole & Castellucci, Valeria & Lingfors, David & Olauson, Jon & Remouit, Flore & Bergkvist, Mikael & Grabbe, Mårten & Waters, Rafael, 2015. "Variability assessment and forecasting of renewables: A review for solar, wind, wave and tidal resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 356-375.
    12. Mohammadi, Kasra & Goudarzi, Navid, 2018. "Study of inter-correlations of solar radiation, wind speed and precipitation under the influence of El Niño Southern Oscillation (ENSO) in California," Renewable Energy, Elsevier, vol. 120(C), pages 190-200.
    13. Pearre, Nathaniel & Adye, Katherine & Swan, Lukas, 2019. "Proportioning wind, solar, and in-stream tidal electricity generating capacity to co-optimize multiple grid integration metrics," Applied Energy, Elsevier, vol. 242(C), pages 69-77.
    14. Hoolohan, Victoria & Tomlin, Alison S. & Cockerill, Timothy, 2018. "Improved near surface wind speed predictions using Gaussian process regression combined with numerical weather predictions and observed meteorological data," Renewable Energy, Elsevier, vol. 126(C), pages 1043-1054.
    15. Anthony Roy & François Auger & Florian Dupriez-Robin & Salvy Bourguet & Quoc Tuan Tran, 2018. "Electrical Power Supply of Remote Maritime Areas: A Review of Hybrid Systems Based on Marine Renewable Energies," Energies, MDPI, vol. 11(7), pages 1-27, July.
    16. Commin, Andrew N. & Davidson, Magnus W.H. & Largey, Nicola & Gaffney, Paul P.J. & Braidwood, David W. & Gibb, Stuart W. & McClatchey, John, 2017. "Spatial smoothing of onshore wind: Implications for strategic development in Scotland," Energy Policy, Elsevier, vol. 109(C), pages 36-48.
    17. Olauson, Jon & Bergkvist, Mikael, 2016. "Correlation between wind power generation in the European countries," Energy, Elsevier, vol. 114(C), pages 663-670.
    18. Pearre, Nathaniel & Swan, Lukas, 2020. "Combining wind, solar, and in-stream tidal electricity generation with energy storage using a load-perturbation control strategy," Energy, Elsevier, vol. 203(C).
    19. Bett, Philip E. & Thornton, Hazel E., 2016. "The climatological relationships between wind and solar energy supply in Britain," Renewable Energy, Elsevier, vol. 87(P1), pages 96-110.
    20. Emmanouil, Stergios & Nikolopoulos, Efthymios I. & François, Baptiste & Brown, Casey & Anagnostou, Emmanouil N., 2021. "Evaluating existing water supply reservoirs as small-scale pumped hydroelectric storage options – A case study in Connecticut," Energy, Elsevier, vol. 226(C).
    21. Alexis Tantet & Marc Stéfanon & Philippe Drobinski & Jordi Badosa & Silvia Concettini & Anna Cretì & Claudia D’Ambrosio & Dimitri Thomopulos & Peter Tankov, 2019. "e 4 clim 1.0: The Energy for a Climate Integrated Model: Description and Application to Italy," Energies, MDPI, vol. 12(22), pages 1-37, November.
    22. Daniel Suchet & Adrien Jeantet & Thomas Elghozi & Zacharie Jehl, 2020. "Defining and Quantifying Intermittency in the Power Sector," Energies, MDPI, vol. 13(13), pages 1-12, July.
    23. Santos-Alamillos, F.J. & Pozo-Vázquez, D. & Ruiz-Arias, J.A. & Von Bremen, L. & Tovar-Pescador, J., 2015. "Combining wind farms with concentrating solar plants to provide stable renewable power," Renewable Energy, Elsevier, vol. 76(C), pages 539-550.
    24. Zou, Bin & Peng, Jinqing & Yin, Rongxin & Li, Houpei & Li, Sihui & Yan, Jinyue & Yang, Hongxing, 2022. "Capacity configuration of distributed photovoltaic and battery system for office buildings considering uncertainties," Applied Energy, Elsevier, vol. 319(C).

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