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How does wind farm performance decline with age?

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  1. Li, Jianlan & Zhang, Xuran & Zhou, Xing & Lu, Luyi, 2019. "Reliability assessment of wind turbine bearing based on the degradation-Hidden-Markov model," Renewable Energy, Elsevier, vol. 132(C), pages 1076-1087.
  2. 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.
  3. John Dorrell & Keunjae Lee, 2020. "The Cost of Wind: Negative Economic Effects of Global Wind Energy Development," Energies, MDPI, vol. 13(14), pages 1-25, July.
  4. Mauleón, Ignacio, 2019. "Optimizing individual renewable energies roadmaps: Criteria, methods, and end targets," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
  5. Francisco Haces-Fernandez, 2021. "Higher Wind: Highlighted Expansion Opportunities to Repower Wind Energy," Energies, MDPI, vol. 14(22), pages 1-19, November.
  6. repec:lib:000cis:v:5:y:2017:i:2:p:1-10 is not listed on IDEAS
  7. Jäger, Tobias & McKenna, Russell & Fichtner, Wolf, 2015. "Onshore wind energy in Baden-Württemberg: a bottom-up economic assessment of the socio-technical potential," Working Paper Series in Production and Energy 7, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
  8. Ghaith, Ahmad F. & Epplin, Francis M. & Frazier, R. Scott, 2017. "Economics of household wind turbine grid-tied systems for five wind resource levels and alternative grid pricing rates," Renewable Energy, Elsevier, vol. 109(C), pages 155-167.
  9. 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.
  10. Sonja Germer & Axel Kleidon, 2019. "Have wind turbines in Germany generated electricity as would be expected from the prevailing wind conditions in 2000-2014?," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-16, February.
  11. Khan, Mehtab Ahmad & Javed, Adeel & Shakir, Sehar & Syed, Abdul Haseeb, 2021. "Optimization of a wind farm by coupled actuator disk and mesoscale models to mitigate neighboring wind farm wake interference from repowering perspective," Applied Energy, Elsevier, vol. 298(C).
  12. Stetter, Chris & Wielert, Henrik & Breitner, Michael H., 2022. "Hidden repowering potential of non-repowerable onshore wind sites in Germany," Energy Policy, Elsevier, vol. 168(C).
  13. Green, Richard & Léautier, Thomas-Olivier, 2015. "Do costs fall faster than revenues? Dynamics of renewables entry into electricity markets," TSE Working Papers 15-591, Toulouse School of Economics (TSE).
  14. Rodríguez-Sarasty, Jesús A. & Debia, Sébastien & Pineau, Pierre-Olivier, 2021. "Deep decarbonization in Northeastern North America: The value of electricity market integration and hydropower," Energy Policy, Elsevier, vol. 152(C).
  15. Nirbheram, Joshi Sukhdev & Mahesh, Aeidapu & Bhimaraju, Ambati, 2024. "Techno-economic optimization of standalone photovoltaic-wind turbine-battery energy storage system hybrid energy system considering the degradation of the components," Renewable Energy, Elsevier, vol. 222(C).
  16. McKenna, R. & Ostman v.d. Leye, P. & Fichtner, W., 2016. "Key challenges and prospects for large wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1212-1221.
  17. Raymond Byrne & Davide Astolfi & Francesco Castellani & Neil J. Hewitt, 2020. "A Study of Wind Turbine Performance Decline with Age through Operation Data Analysis," Energies, MDPI, vol. 13(8), pages 1-18, April.
  18. Akintayo T. Abolude & Wen Zhou, 2018. "A Comparative Computational Fluid Dynamic Study on the Effects of Terrain Type on Hub-Height Wind Aerodynamic Properties," Energies, MDPI, vol. 12(1), pages 1-14, December.
  19. Sliz-Szkliniarz, B. & Eberbach, J. & Hoffmann, B. & Fortin, M., 2019. "Assessing the cost of onshore wind development scenarios: Modelling of spatial and temporal distribution of wind power for the case of Poland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 514-531.
  20. Richard Green, Danny Pudjianto, Iain Staffell and Goran Strbac, 2016. "Market Design for Long-Distance Trade in Renewable Electricity," The Energy Journal, International Association for Energy Economics, vol. 0(Bollino-M).
  21. Ren, Zhengru & Verma, Amrit Shankar & Li, Ye & Teuwen, Julie J.E. & Jiang, Zhiyu, 2021. "Offshore wind turbine operations and maintenance: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
  22. 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.
  23. Bianchi, Emilio & Guozden, Tomás & Kozulj, Roberto, 2022. "Assessing low frequency variations in solar and wind power and their climatic teleconnections," Renewable Energy, Elsevier, vol. 190(C), pages 560-571.
  24. Sharifzadeh, Mahdi & Sikinioti-Lock, Alexandra & Shah, Nilay, 2019. "Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 513-538.
  25. Francisco Haces-Fernandez, 2020. "GoWInD: Wind Energy Spatiotemporal Assessment and Characterization of End-of-Life Activities," Energies, MDPI, vol. 13(22), pages 1-20, November.
  26. Pieralli, Simone & Ritter, Matthias & Odening, Martin, 2015. "Efficiency of wind power production and its determinants," Energy, Elsevier, vol. 90(P1), pages 429-438.
  27. Fred Udo & Cornelis le Pair & Kees de Groot & Ad H.M. Verkooijen & Kees van den Berg, 2015. "Using Wind Energy to save Fuel and Reduce CO2 Emissions," Energy & Environment, , vol. 26(8), pages 1293-1304, December.
  28. Samsatli, Sheila & Samsatli, Nouri J., 2018. "A multi-objective MILP model for the design and operation of future integrated multi-vector energy networks capturing detailed spatio-temporal dependencies," Applied Energy, Elsevier, vol. 220(C), pages 893-920.
  29. He, Rui & Tian, Zhigang & Wang, Yifei & Zuo, Mingjian & Guo, Ziwei, 2023. "Condition-based maintenance optimization for multi-component systems considering prognostic information and degraded working efficiency," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
  30. Houda Ghamlouch & Mitra Fouladirad & Antoine Grall, 2019. "The use of real option in condition-based maintenance scheduling for wind turbines with production and deterioration uncertainties," Post-Print hal-02365402, HAL.
  31. Pfenninger, Stefan, 2017. "Dealing with multiple decades of hourly wind and PV time series in energy models: A comparison of methods to reduce time resolution and the planning implications of inter-annual variability," Applied Energy, Elsevier, vol. 197(C), pages 1-13.
  32. Becker, Raik & Thrän, Daniela, 2017. "Completion of wind turbine data sets for wind integration studies applying random forests and k-nearest neighbors," Applied Energy, Elsevier, vol. 208(C), pages 252-262.
  33. Abdollahzadeh, Hadi & Atashgar, Karim & Abbasi, Morteza, 2016. "Multi-objective opportunistic maintenance optimization of a wind farm considering limited number of maintenance groups," Renewable Energy, Elsevier, vol. 88(C), pages 247-261.
  34. 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).
  35. Davide Astolfi & Raymond Byrne & Francesco Castellani, 2020. "Analysis of Wind Turbine Aging through Operation Curves," Energies, MDPI, vol. 13(21), pages 1-21, October.
  36. Bosch, Jonathan & Staffell, Iain & Hawkes, Adam D., 2018. "Temporally explicit and spatially resolved global offshore wind energy potentials," Energy, Elsevier, vol. 163(C), pages 766-781.
  37. Luis M. Abadie & Nestor Goicoechea, 2021. "Old Wind Farm Life Extension vs. Full Repowering: A Review of Economic Issues and a Stochastic Application for Spain," Energies, MDPI, vol. 14(12), pages 1-24, June.
  38. Yan, Jie & Möhrlen, Corinna & Göçmen, Tuhfe & Kelly, Mark & Wessel, Arne & Giebel, Gregor, 2022. "Uncovering wind power forecasting uncertainty sources and their propagation through the whole modelling chain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
  39. Samet Ozturk & Vasilis Fthenakis & Stefan Faulstich, 2018. "Assessing the Factors Impacting on the Reliability of Wind Turbines via Survival Analysis—A Case Study," Energies, MDPI, vol. 11(11), pages 1-20, November.
  40. Rusu, Eugen & Onea, Florin, 2019. "An assessment of the wind and wave power potential in the island environment," Energy, Elsevier, vol. 175(C), pages 830-846.
  41. Shin, Dongheon & Ko, Kyungnam, 2017. "Comparative analysis of degradation rates for inland and seaside wind turbines in compliance with the International Electrotechnical Commission standard," Energy, Elsevier, vol. 118(C), pages 1180-1186.
  42. 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).
  43. Tetiana Kurbatova & Iryna Sotnyk & Olha Prokopenko & Iryna Bashynska & Uliana Pysmenna, 2023. "Improving the Feed-in Tariff Policy for Renewable Energy Promotion in Ukraine’s Households," Energies, MDPI, vol. 16(19), pages 1-18, September.
  44. Ignacio Mauleón, 2019. "Assessment of Renewable Energy Deployment Roadmaps," Energies, MDPI, vol. 12(15), pages 1-15, July.
  45. Niklas Andersen & Ola Eriksson & Karl Hillman & Marita Wallhagen, 2016. "Wind Turbines’ End-of-Life: Quantification and Characterisation of Future Waste Materials on a National Level," Energies, MDPI, vol. 9(12), pages 1-24, November.
  46. Abadie, Luis Mª & Chamorro, José M., 2023. "Investment in wind-based hydrogen production under economic and physical uncertainties," Applied Energy, Elsevier, vol. 337(C).
  47. Shea, Ryan P. & Ramgolam, Yatindra Kumar, 2019. "Applied levelized cost of electricity for energy technologies in a small island developing state: A case study in Mauritius," Renewable Energy, Elsevier, vol. 132(C), pages 1415-1424.
  48. Mo, Huadong & Sansavini, Giovanni, 2019. "Impact of aging and performance degradation on the operational costs of distributed generation systems," Renewable Energy, Elsevier, vol. 143(C), pages 426-439.
  49. Aliashim Albani & Mohd Zamri Ibrahim & Che Mohd Imran Che Taib & Abd Aziz Azlina, 2017. "The Optimal Generation Cost-Based Tariff Rates for Onshore Wind Energy in Malaysia," Energies, MDPI, vol. 10(8), pages 1-16, July.
  50. Watts, David & Durán, Pablo & Flores, Yarela, 2017. "How does El Niño Southern Oscillation impact the wind resource in Chile? A techno-economical assessment of the influence of El Niño and La Niña on the wind power," Renewable Energy, Elsevier, vol. 103(C), pages 128-142.
  51. 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.
  52. Iain Staffell & Stefan Pfenninger & Nathan Johnson, 2023. "A global model of hourly space heating and cooling demand at multiple spatial scales," Nature Energy, Nature, vol. 8(12), pages 1328-1344, December.
  53. 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.
  54. 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.
  55. Candelise, Chiara & Westacott, Paul, 2017. "Can integration of PV within UK electricity network be improved? A GIS based assessment of storage," Energy Policy, Elsevier, vol. 109(C), pages 694-703.
  56. 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.
  57. Collings, Peter & Yu, Zhibin & Wang, Enhua, 2016. "A dynamic organic Rankine cycle using a zeotropic mixture as the working fluid with composition tuning to match changing ambient conditions," Applied Energy, Elsevier, vol. 171(C), pages 581-591.
  58. Aldersey-Williams, John & Broadbent, Ian D. & Strachan, Peter A., 2019. "Better estimates of LCOE from audited accounts – A new methodology with examples from United Kingdom offshore wind and CCGT," Energy Policy, Elsevier, vol. 128(C), pages 25-35.
  59. Aldersey-Williams, John & Broadbent, Ian D. & Strachan, Peter A., 2020. "Analysis of United Kingdom offshore wind farm performance using public data: Improving the evidence base for policymaking," Utilities Policy, Elsevier, vol. 62(C).
  60. Olauson, Jon & Bergkvist, Mikael, 2015. "Modelling the Swedish wind power production using MERRA reanalysis data," Renewable Energy, Elsevier, vol. 76(C), pages 717-725.
  61. Cambron, P. & Lepvrier, R. & Masson, C. & Tahan, A. & Pelletier, F., 2016. "Power curve monitoring using weighted moving average control charts," Renewable Energy, Elsevier, vol. 94(C), pages 126-135.
  62. Hayashi, Daisuke & Huenteler, Joern & Lewis, Joanna I., 2018. "Gone with the wind: A learning curve analysis of China's wind power industry," Energy Policy, Elsevier, vol. 120(C), pages 38-51.
  63. Benini, Giacomo & Cattani, Gilles, 2022. "Measuring the long run technical efficiency of offshore wind farms," Applied Energy, Elsevier, vol. 308(C).
  64. 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.
  65. Jon Olauson & Johan Bladh & Joakim Lönnberg & Mikael Bergkvist, 2016. "A New Approach to Obtain Synthetic Wind Power Forecasts for Integration Studies," Energies, MDPI, vol. 9(10), pages 1-16, October.
  66. 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.
  67. Tazi, Nacef & Safaei, Fatemeh & Hnaien, Faicel, 2022. "Assessment of the levelized cost of energy using a stochastic model," Energy, Elsevier, vol. 238(PB).
  68. Cannon, D.J. & Brayshaw, D.J. & Methven, J. & Coker, P.J. & Lenaghan, D., 2015. "Using reanalysis data to quantify extreme wind power generation statistics: A 33 year case study in Great Britain," Renewable Energy, Elsevier, vol. 75(C), pages 767-778.
  69. Prasad, Abhnil A. & Taylor, Robert A. & Kay, Merlinde, 2017. "Assessment of solar and wind resource synergy in Australia," Applied Energy, Elsevier, vol. 190(C), pages 354-367.
  70. Mehrjoo, Mehrdad & Jafari Jozani, Mohammad & Pawlak, Miroslaw, 2021. "Toward hybrid approaches for wind turbine power curve modeling with balanced loss functions and local weighting schemes," Energy, Elsevier, vol. 218(C).
  71. Mauleón, Ignacio, 2019. "Assessing PV and wind roadmaps: Learning rates, risk, and social discounting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 71-89.
  72. Ahn, Hyeunguk, 2024. "A framework for developing data-driven correction factors for solar PV systems," Energy, Elsevier, vol. 290(C).
  73. Sarah M. Jordaan & Junghun Lee & Maureen R. McClung & Matthew D. Moran, 2021. "Quantifying the ecosystem services values of electricity generation in the US Chihuahuan Desert: A life cycle perspective," Journal of Industrial Ecology, Yale University, vol. 25(4), pages 1089-1101, August.
  74. Zhou, Yuekuan & Cao, Sunliang & Hensen, Jan L.M., 2021. "An energy paradigm transition framework from negative towards positive district energy sharing networks—Battery cycling aging, advanced battery management strategies, flexible vehicles-to-buildings in," Applied Energy, Elsevier, vol. 288(C).
  75. Hyun-Goo Kim & Jin-Young Kim, 2021. "Analysis of Wind Turbine Aging through Operation Data Calibrated by LiDAR Measurement," Energies, MDPI, vol. 14(8), pages 1-12, April.
  76. Walmsley, Timothy G. & Walmsley, Michael R.W. & Varbanov, Petar S. & Klemeš, Jiří J., 2018. "Energy Ratio analysis and accounting for renewable and non-renewable electricity generation: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 328-345.
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  78. de Bona, Jéssica Ceolin & Ferreira, Joao Carlos Espindola & Ordoñez Duran, Julian Fernando, 2021. "Analysis of scenarios for repowering wind farms in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
  79. Rusu, Eugen, 2019. "A 30-year projection of the future wind energy resources in the coastal environment of the Black Sea," Renewable Energy, Elsevier, vol. 139(C), pages 228-234.
  80. Staffell, Iain & Pfenninger, Stefan, 2018. "The increasing impact of weather on electricity supply and demand," Energy, Elsevier, vol. 145(C), pages 65-78.
  81. McInerney, Celine & Bunn, Derek W., 2017. "Optimal over installation of wind generation facilities," Energy Economics, Elsevier, vol. 61(C), pages 87-96.
  82. Sharp, Ed & Dodds, Paul & Barrett, Mark & Spataru, Catalina, 2015. "Evaluating the accuracy of CFSR reanalysis hourly wind speed forecasts for the UK, using in situ measurements and geographical information," Renewable Energy, Elsevier, vol. 77(C), pages 527-538.
  83. Hanan M. Taleb & Bassam Abu Hijleh, 2021. "Optimizing the Power Generation of a Wind Farm in Low Wind Speed Regions," Sustainability, MDPI, vol. 13(9), pages 1-26, May.
  84. Emma L. Delaney & Paul G. Leahy & Jennifer M. McKinley & T. Russell Gentry & Angela J. Nagle & Jeffrey Elberling & Lawrence C. Bank, 2023. "Sustainability Implications of Current Approaches to End-of-Life of Wind Turbine Blades—A Review," Sustainability, MDPI, vol. 15(16), pages 1-19, August.
  85. Pejman Bahramian & Glenn Jenkins & Frank Milne, 2020. "A stakeholder analysis of investments for wind power electricity generation in Ontario," Working Paper 1442, Economics Department, Queen's University.
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  89. Santos, Marllen & González, Mario, 2019. "Factors that influence the performance of wind farms," Renewable Energy, Elsevier, vol. 135(C), pages 643-651.
  90. Davide Astolfi & Raymond Byrne & Francesco Castellani, 2021. "Estimation of the Performance Aging of the Vestas V52 Wind Turbine through Comparative Test Case Analysis," Energies, MDPI, vol. 14(4), pages 1-25, February.
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  103. Abdul Ghani Olabi & Tabbi Wilberforce & Khaled Elsaid & Enas Taha Sayed & Tareq Salameh & Mohammad Ali Abdelkareem & Ahmad Baroutaji, 2021. "A Review on Failure Modes of Wind Turbine Components," Energies, MDPI, vol. 14(17), pages 1-44, August.
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  107. Stetter, Chris & Piel, Jan-Hendrik & Hamann, Julian F.H. & Breitner, Michael H., 2020. "Competitive and risk-adequate auction bids for onshore wind projects in Germany," Energy Economics, Elsevier, vol. 90(C).
  108. Herbert, Caren & Phimister, Euan, 2019. "Private sector-owned mini-grids and rural electrification: A case study of wind-power in Kenya's tea industry," Energy Policy, Elsevier, vol. 132(C), pages 1288-1297.
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  116. Kies, Alexander & Schyska, Bruno U. & Bilousova, Mariia & El Sayed, Omar & Jurasz, Jakub & Stoecker, Horst, 2021. "Critical review of renewable generation datasets and their implications for European power system models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
  117. Zhu, Lei & Li, Li & Su, Bin, 2021. "The price-bidding strategy for investors in a renewable auction: An option games–based study," Energy Economics, Elsevier, vol. 100(C).
  118. Welder, Lara & Ryberg, D.Severin & Kotzur, Leander & Grube, Thomas & Robinius, Martin & Stolten, Detlef, 2018. "Spatio-temporal optimization of a future energy system for power-to-hydrogen applications in Germany," Energy, Elsevier, vol. 158(C), pages 1130-1149.
  119. Höfer, Tim & Madlener, Reinhard, 2018. "Locational (In-)Efficiency of Renewable Power Generation Feeding in the Electricity Grid: A Spatial Regression Analysis," FCN Working Papers 13/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised 01 Dec 2019.
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