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Using reanalysis data to quantify extreme wind power generation statistics: A 33 year case study in Great Britain

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Cited by:

  1. Gruber, Katharina & Regner, Peter & Wehrle, Sebastian & Zeyringer, Marianne & Schmidt, Johannes, 2022. "Towards global validation of wind power simulations: A multi-country assessment of wind power simulation from MERRA-2 and ERA-5 reanalyses bias-corrected with the global wind atlas," Energy, Elsevier, vol. 238(PA).
  2. Wang, Zhenni & Wen, Xin & Tan, Qiaofeng & Fang, Guohua & Lei, Xiaohui & Wang, Hao & Yan, Jinyue, 2021. "Potential assessment of large-scale hydro-photovoltaic-wind hybrid systems on a global scale," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
  3. Johann Baumgartner & Katharina Gruber & Sofia G. Simoes & Yves-Marie Saint-Drenan & Johannes Schmidt, 2020. "Less Information, Similar Performance: Comparing Machine Learning-Based Time Series of Wind Power Generation to Renewables.ninja," Energies, MDPI, vol. 13(9), pages 1-23, May.
  4. Jung, Christopher & Schindler, Dirk, 2018. "On the inter-annual variability of wind energy generation – A case study from Germany," Applied Energy, Elsevier, vol. 230(C), pages 845-854.
  5. Staffell, Iain & Pfenninger, Stefan, 2016. "Using bias-corrected reanalysis to simulate current and future wind power output," Energy, Elsevier, vol. 114(C), pages 1224-1239.
  6. Akintayo T. Abolude & Wen Zhou & Akintomide Afolayan Akinsanola, 2020. "Evaluation and Projections of Wind Power Resources over China for the Energy Industry Using CMIP5 Models," Energies, MDPI, vol. 13(10), pages 1-16, May.
  7. Matti Koivisto & Kaushik Das & Feng Guo & Poul Sørensen & Edgar Nuño & Nicolaos Cutululis & Petr Maule, 2019. "Using time series simulation tools for assessing the effects of variable renewable energy generation on power and energy systems," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(3), May.
  8. Kevin Ray Español Lucas & Tomonori Sato & Masamichi Ohba, 2021. "Hourly Variation of Wind Speeds in the Philippines and Its Potential Impact on the Stability of the Power System," Energies, MDPI, vol. 14(8), pages 1-14, April.
  9. Rose, Stephen & Apt, Jay, 2015. "What can reanalysis data tell us about wind power?," Renewable Energy, Elsevier, vol. 83(C), pages 963-969.
  10. Drew, Daniel R. & Barlow, Janet F. & Coker, Phil J., 2018. "Identifying and characterising large ramps in power output of offshore wind farms," Renewable Energy, Elsevier, vol. 127(C), pages 195-203.
  11. Henckes, Philipp & Knaut, Andreas & Obermüller, Frank & Frank, Christopher, 2018. "The benefit of long-term high resolution wind data for electricity system analysis," Energy, Elsevier, vol. 143(C), pages 934-942.
  12. Russell McKenna & Stefan Pfenninger & Heidi Heinrichs & Johannes Schmidt & Iain Staffell & Katharina Gruber & Andrea N. Hahmann & Malte Jansen & Michael Klingler & Natascha Landwehr & Xiaoli Guo Lars', 2021. "Reviewing methods and assumptions for high-resolution large-scale onshore wind energy potential assessments," Papers 2103.09781, arXiv.org.
  13. Lynch, Muireann Á & Devine, Mel & Bertsch, Valentin, 2018. "The role of power-to-gas in the future energy system: how much is needed and who wants to invest?," Papers WP590, Economic and Social Research Institute (ESRI).
  14. Mel T. Devine & Valentin Bertsch, 2023. "The role of demand response in mitigating market power: a quantitative analysis using a stochastic market equilibrium model," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(2), pages 555-597, June.
  15. Hilbers, Adriaan P. & Brayshaw, David J. & Gandy, Axel, 2019. "Importance subsampling: improving power system planning under climate-based uncertainty," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
  16. de Aquino Ferreira, Saulo Custodio & Cyrino Oliveira, Fernando Luiz & Maçaira, Paula Medina, 2022. "Validation of the representativeness of wind speed time series obtained from reanalysis data for Brazilian territory," Energy, Elsevier, vol. 258(C).
  17. Vassilis M. Charitopoulos & Mathilde Fajardy & Chi Kong Chyong & David M. Reiner, 2022. "The case of 100% electrification of domestic heat in Great Britain," Working Papers EPRG2206, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
  18. Rose, Stephen & Apt, Jay, 2016. "Quantifying sources of uncertainty in reanalysis derived wind speed," Renewable Energy, Elsevier, vol. 94(C), pages 157-165.
  19. Hayes, Liam & Stocks, Matthew & Blakers, Andrew, 2021. "Accurate long-term power generation model for offshore wind farms in Europe using ERA5 reanalysis," Energy, Elsevier, vol. 229(C).
  20. Bracale, Antonio & Carpinelli, Guido & De Falco, Pasquale, 2017. "A new finite mixture distribution and its expectation-maximization procedure for extreme wind speed characterization," Renewable Energy, Elsevier, vol. 113(C), pages 1366-1377.
  21. McKenna, Russell & Pfenninger, Stefan & Heinrichs, Heidi & Schmidt, Johannes & Staffell, Iain & Bauer, Christian & Gruber, Katharina & Hahmann, Andrea N. & Jansen, Malte & Klingler, Michael & Landwehr, 2022. "High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs," Renewable Energy, Elsevier, vol. 182(C), pages 659-684.
  22. Cradden, Lucy C. & McDermott, Frank & Zubiate, Laura & Sweeney, Conor & O'Malley, Mark, 2017. "A 34-year simulation of wind generation potential for Ireland and the impact of large-scale atmospheric pressure patterns," Renewable Energy, Elsevier, vol. 106(C), pages 165-176.
  23. Yip, Chak Man Andrew & Gunturu, Udaya Bhaskar & Stenchikov, Georgiy L., 2016. "Wind resource characterization in the Arabian Peninsula," Applied Energy, Elsevier, vol. 164(C), pages 826-836.
  24. Peláez-Rodríguez, C. & Pérez-Aracil, J. & Fister, D. & Prieto-Godino, L. & Deo, R.C. & Salcedo-Sanz, S., 2022. "A hierarchical classification/regression algorithm for improving extreme wind speed events prediction," Renewable Energy, Elsevier, vol. 201(P2), pages 157-178.
  25. Jiang, Haiyang & Du, Ershun & He, Boyu & Zhang, Ning & Wang, Peng & Li, Fuqiang & Ji, Jie, 2023. "Analysis and modeling of seasonal characteristics of renewable energy generation," Renewable Energy, Elsevier, vol. 219(P1).
  26. Heinen, Steve & Turner, William & Cradden, Lucy & McDermott, Frank & O'Malley, Mark, 2017. "Electrification of residential space heating considering coincidental weather events and building thermal inertia: A system-wide planning analysis," Energy, Elsevier, vol. 127(C), pages 136-154.
  27. Ritter, Matthias & Deckert, Lars, 2017. "Site assessment, turbine selection, and local feed-in tariffs through the wind energy index," Applied Energy, Elsevier, vol. 185(P2), pages 1087-1099.
  28. Bianchi, Emilio & Solarte, Andrés & Guozden, Tomás Manuel, 2017. "Large scale climate drivers for wind resource in Southern South America," Renewable Energy, Elsevier, vol. 114(PB), pages 708-715.
  29. Plaga, Leonie Sara & Bertsch, Valentin, 2023. "Methods for assessing climate uncertainty in energy system models — A systematic literature review," Applied Energy, Elsevier, vol. 331(C).
  30. Feng, Cong & Sun, Mucun & Cui, Mingjian & Chartan, Erol Kevin & Hodge, Bri-Mathias & Zhang, Jie, 2019. "Characterizing forecastability of wind sites in the United States," Renewable Energy, Elsevier, vol. 133(C), pages 1352-1365.
  31. Correia, J.M. & Bastos, A. & Brito, M.C. & Trigo, R.M., 2017. "The influence of the main large-scale circulation patterns on wind power production in Portugal," Renewable Energy, Elsevier, vol. 102(PA), pages 214-223.
  32. Hdidouan, Daniel & Staffell, Iain, 2017. "The impact of climate change on the levelised cost of wind energy," Renewable Energy, Elsevier, vol. 101(C), pages 575-592.
  33. Ramirez Camargo, Luis & Gruber, Katharina & Nitsch, Felix, 2019. "Assessing variables of regional reanalysis data sets relevant for modelling small-scale renewable energy systems," Renewable Energy, Elsevier, vol. 133(C), pages 1468-1478.
  34. Salcedo-Sanz, S. & García-Herrera, R. & Camacho-Gómez, C. & Aybar-Ruíz, A. & Alexandre, E., 2018. "Wind power field reconstruction from a reduced set of representative measuring points," Applied Energy, Elsevier, vol. 228(C), pages 1111-1121.
  35. Boudia, Sidi Mohammed & Santos, João Andrade, 2019. "Assessment of large-scale wind resource features in Algeria," Energy, Elsevier, vol. 189(C).
  36. Drew, Daniel R. & Cannon, Dirk J. & Barlow, Janet F. & Coker, Phil J. & Frame, Thomas H.A., 2017. "The importance of forecasting regional wind power ramping: A case study for the UK," Renewable Energy, Elsevier, vol. 114(PB), pages 1201-1208.
  37. Orszaghova, J. & Lemoine, S. & Santo, H. & Taylor, P.H. & Kurniawan, A. & McGrath, N. & Zhao, W. & Cuttler, M.V.W., 2022. "Variability of wave power production of the M4 machine at two energetic open ocean locations: Off Albany, Western Australia and at EMEC, Orkney, UK," Renewable Energy, Elsevier, vol. 197(C), pages 417-431.
  38. Coker, Phil J. & Bloomfield, Hannah C. & Drew, Daniel R. & Brayshaw, David J., 2020. "Interannual weather variability and the challenges for Great Britain’s electricity market design," Renewable Energy, Elsevier, vol. 150(C), pages 509-522.
  39. Staffell, Iain & Pfenninger, Stefan, 2018. "The increasing impact of weather on electricity supply and demand," Energy, Elsevier, vol. 145(C), pages 65-78.
  40. Ju-Young Shin & Changsam Jeong & Jun-Haeng Heo, 2018. "A Novel Statistical Method to Temporally Downscale Wind Speed Weibull Distribution Using Scaling Property," Energies, MDPI, vol. 11(3), pages 1-27, March.
  41. Ruggles, Tyler H. & Caldeira, Ken, 2022. "Wind and solar generation may reduce the inter-annual variability of peak residual load in certain electricity systems," Applied Energy, Elsevier, vol. 305(C).
  42. Rubert, T. & Zorzi, G. & Fusiek, G. & Niewczas, P. & McMillan, D. & McAlorum, J. & Perry, M., 2019. "Wind turbine lifetime extension decision-making based on structural health monitoring," Renewable Energy, Elsevier, vol. 143(C), pages 611-621.
  43. Gunnell, Yanni & Mietton, Michel & Touré, Amadou Abdourhamane & Fujiki, Kenji, 2023. "Potential for wind farming in West Africa from an analysis of daily peak wind speeds and a review of low-level jet dynamics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
  44. Zhang, Hengxu & Cao, Yongji & Zhang, Yi & Terzija, Vladimir, 2018. "Quantitative synergy assessment of regional wind-solar energy resources based on MERRA reanalysis data," Applied Energy, Elsevier, vol. 216(C), pages 172-182.
  45. González-Aparicio, I. & Monforti, F. & Volker, P. & Zucker, A. & Careri, F. & Huld, T. & Badger, J., 2017. "Simulating European wind power generation applying statistical downscaling to reanalysis data," Applied Energy, Elsevier, vol. 199(C), pages 155-168.
  46. Bertsch, Valentin & Devine, Mel & Sweeney, Conor & Parnell, Andrew C., 2018. "Analysing long-term interactions between demand response and different electricity markets using a stochastic market equilibrium model," Papers WP585, Economic and Social Research Institute (ESRI).
  47. Murcia, Juan Pablo & Koivisto, Matti Juhani & Luzia, Graziela & Olsen, Bjarke T. & Hahmann, Andrea N. & Sørensen, Poul Ejnar & Als, Magnus, 2022. "Validation of European-scale simulated wind speed and wind generation time series," Applied Energy, Elsevier, vol. 305(C).
  48. Kena Likassa Nefabas & Lennart Söder & Mengesha Mamo & Jon Olauson, 2021. "Modeling of Ethiopian Wind Power Production Using ERA5 Reanalysis Data," Energies, MDPI, vol. 14(9), pages 1-17, April.
  49. Bowen Li & Sukanta Basu & Simon J. Watson & Herman W. J. Russchenberg, 2021. "A Brief Climatology of Dunkelflaute Events over and Surrounding the North and Baltic Sea Areas," Energies, MDPI, vol. 14(20), pages 1-14, October.
  50. Rubert, T. & McMillan, D. & Niewczas, P., 2018. "A decision support tool to assist with lifetime extension of wind turbines," Renewable Energy, Elsevier, vol. 120(C), pages 423-433.
  51. Deakin, Matthew & Bloomfield, Hannah & Greenwood, David & Sheehy, Sarah & Walker, Sara & Taylor, Phil C., 2021. "Impacts of heat decarbonization on system adequacy considering increased meteorological sensitivity," Applied Energy, Elsevier, vol. 298(C).
  52. 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.
  53. Rabbani, R. & Zeeshan, M., 2020. "Exploring the suitability of MERRA-2 reanalysis data for wind energy estimation, analysis of wind characteristics and energy potential assessment for selected sites in Pakistan," Renewable Energy, Elsevier, vol. 154(C), pages 1240-1251.
  54. Drew, Daniel R. & Coker, Phil J. & Bloomfield, Hannah C. & Brayshaw, David J. & Barlow, Janet F. & Richards, Andrew, 2019. "Sunny windy sundays," Renewable Energy, Elsevier, vol. 138(C), pages 870-875.
  55. Ingeborg Graabak & Magnus Korpås, 2016. "Variability Characteristics of European Wind and Solar Power Resources—A Review," Energies, MDPI, vol. 9(6), pages 1-31, June.
  56. Olauson, Jon & Bergström, Hans & Bergkvist, Mikael, 2016. "Restoring the missing high-frequency fluctuations in a wind power model based on reanalysis data," Renewable Energy, Elsevier, vol. 96(PA), pages 784-791.
  57. Vega-Bayo, M. & Pérez-Aracil, J. & Prieto-Godino, L. & Salcedo-Sanz, S., 2024. "Improving the prediction of extreme wind speed events with generative data augmentation techniques," Renewable Energy, Elsevier, vol. 221(C).
  58. Nezhad, M. Majidi & Neshat, M. & Groppi, D. & Marzialetti, P. & Heydari, A. & Sylaios, G. & Garcia, D. Astiaso, 2021. "A primary offshore wind farm site assessment using reanalysis data: a case study for Samothraki island," Renewable Energy, Elsevier, vol. 172(C), pages 667-679.
  59. Kästel, Peter & Gilroy-Scott, Bryce, 2015. "Economics of pooling small local electricity prosumers—LCOE & self-consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 718-729.
  60. Lynch, Muireann & Devine, Mel T. & Bertsch, Valentin, 2019. "The role of power-to-gas in the future energy system: Market and portfolio effects," Energy, Elsevier, vol. 185(C), pages 1197-1209.
  61. Potisomporn, Panit & Adcock, Thomas A.A. & Vogel, Christopher R., 2024. "Extreme value analysis of wind droughts in Great Britain," Renewable Energy, Elsevier, vol. 221(C).
  62. Olauson, Jon, 2018. "ERA5: The new champion of wind power modelling?," Renewable Energy, Elsevier, vol. 126(C), pages 322-331.
  63. Miao, Haozeyu & Dong, Danhong & Huang, Gang & Hu, Kaiming & Tian, Qun & Gong, Yuanfa, 2020. "Evaluation of Northern Hemisphere surface wind speed and wind power density in multiple reanalysis datasets," Energy, Elsevier, vol. 200(C).
  64. Abdelaziz, Sara & Sparrow, Sarah N. & Hua, Weiqi & Wallom, David C.H., 2024. "Assessing long-term future climate change impacts on extreme low wind events for offshore wind turbines in the UK exclusive economic zone," Applied Energy, Elsevier, vol. 354(PB).
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