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Quantifying the variability of wind energy

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  • Simon Watson

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  • Simon Watson, 2014. "Quantifying the variability of wind energy," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 3(4), pages 330-342, July.
    • Handle: RePEc:bla:wireae:v:3:y:2014:i:4:p:330-342
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    File URL: http://hdl.handle.net/10.1002/wene.95
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    1. Sailor, David J. & Smith, Michael & Hart, Melissa, 2008. "Climate change implications for wind power resources in the Northwest United States," Renewable Energy, Elsevier, vol. 33(11), pages 2393-2406.
    2. Grubb, Michael & Butler, Lucy & Twomey, Paul, 2006. "Diversity and security in UK electricity generation: The influence of low-carbon objectives," Energy Policy, Elsevier, vol. 34(18), pages 4050-4062, December.
    3. Swider, Derk J. & Beurskens, Luuk & Davidson, Sarah & Twidell, John & Pyrko, Jurek & Prüggler, Wolfgang & Auer, Hans & Vertin, Katarina & Skema, Romualdas, 2008. "Conditions and costs for renewables electricity grid connection: Examples in Europe," Renewable Energy, Elsevier, vol. 33(8), pages 1832-1842.
    4. Stoutenburg, Eric D. & Jenkins, Nicholas & Jacobson, Mark Z., 2010. "Power output variations of co-located offshore wind turbines and wave energy converters in California," Renewable Energy, Elsevier, vol. 35(12), pages 2781-2791.
    5. Dale, Lewis & Milborrow, David & Slark, Richard & Strbac, Goran, 2004. "Total cost estimates for large-scale wind scenarios in UK," Energy Policy, Elsevier, vol. 32(17), pages 1949-1956, November.
    6. Jamil, M. & Parsa, S. & Majidi, M., 1995. "Wind power statistics and an evaluation of wind energy density," Renewable Energy, Elsevier, vol. 6(5), pages 623-628.
    7. Fusco, Francesco & Nolan, Gary & Ringwood, John V., 2010. "Variability reduction through optimal combination of wind/wave resources – An Irish case study," Energy, Elsevier, vol. 35(1), pages 314-325.
    8. Carta, J.A. & Ramírez, P., 2007. "Analysis of two-component mixture Weibull statistics for estimation of wind speed distributions," Renewable Energy, Elsevier, vol. 32(3), pages 518-531.
    9. Brayshaw, David James & Troccoli, Alberto & Fordham, Rachael & Methven, John, 2011. "The impact of large scale atmospheric circulation patterns on wind power generation and its potential predictability: A case study over the UK," Renewable Energy, Elsevier, vol. 36(8), pages 2087-2096.
    10. Katzenstein, Warren & Fertig, Emily & Apt, Jay, 2010. "The variability of interconnected wind plants," Energy Policy, Elsevier, vol. 38(8), pages 4400-4410, August.
    11. Breslow, Paul B. & Sailor, David J., 2002. "Vulnerability of wind power resources to climate change in the continental United States," Renewable Energy, Elsevier, vol. 27(4), pages 585-598.
    12. Jaramillo, O.A. & Borja, M.A., 2004. "Wind speed analysis in La Ventosa, Mexico: a bimodal probability distribution case," Renewable Energy, Elsevier, vol. 29(10), pages 1613-1630.
    13. Pryor, S.C. & Barthelmie, R.J., 2010. "Climate change impacts on wind energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 430-437, January.
    14. Purvins, Arturs & Zubaryeva, Alyona & Llorente, Maria & Tzimas, Evangelos & Mercier, Arnaud, 2011. "Challenges and options for a large wind power uptake by the European electricity system," Applied Energy, Elsevier, vol. 88(5), pages 1461-1469, May.
    15. Carta, J.A. & Ramírez, P. & Velázquez, S., 2009. "A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 933-955, June.
    16. Lund, H., 2006. "Large-scale integration of optimal combinations of PV, wind and wave power into the electricity supply," Renewable Energy, Elsevier, vol. 31(4), pages 503-515.
    17. Drake, Ben & Hubacek, Klaus, 2007. "What to expect from a greater geographic dispersion of wind farms?--A risk portfolio approach," Energy Policy, Elsevier, vol. 35(8), pages 3999-4008, August.
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    2. Javier Sanz Rodrigo & Roberto Aurelio Chávez Arroyo & Patrick Moriarty & Matthew Churchfield & Branko Kosović & Pierre‐Elouan Réthoré & Kurt Schaldemose Hansen & Andrea Hahmann & Jeffrey D. Mirocha & , 2017. "Mesoscale to microscale wind farm flow modeling and evaluation," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 6(2), March.
    3. L. Augusto Sanabria & Andrea F. Carril, 2018. "Maps of wind hazard over South Eastern South America considering climate change," Climatic Change, Springer, vol. 148(1), pages 235-247, May.
    4. José V. P. Miguel & Eliane A. Fadigas & Ildo L. Sauer, 2019. "The Influence of the Wind Measurement Campaign Duration on a Measure-Correlate-Predict (MCP)-Based Wind Resource Assessment," Energies, MDPI, vol. 12(19), pages 1-15, September.
    5. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
    6. Engeland, Kolbjørn & Borga, Marco & Creutin, Jean-Dominique & François, Baptiste & Ramos, Maria-Helena & Vidal, Jean-Philippe, 2017. "Space-time variability of climate variables and intermittent renewable electricity production – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 600-617.
    7. Monforti, F. & Gaetani, M. & Vignati, E., 2016. "How synchronous is wind energy production among European countries?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1622-1638.
    8. Reichenberg, Lina & Hedenus, Fredrik & Mattsson, Niclas & Verendel, Vilhelm, 2022. "Deep decarbonization and the supergrid – Prospects for electricity transmission between Europe and China," Energy, Elsevier, vol. 239(PE).

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