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Global experience curves for wind farms

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  1. Langer, Jannis & Quist, Jaco & Blok, Kornelis, 2020. "Recent progress in the economics of ocean thermal energy conversion: Critical review and research agenda," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
  2. Arthur van Benthem & Kenneth Gillingham & James Sweeney, 2008. "Learning-by-Doing and the Optimal Solar Policy in California," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 131-152.
  3. Lehmann, Paul, 2009. "Climate Policies with Pollution Externalities and Learning Spillovers," MPRA Paper 21353, University Library of Munich, Germany.
  4. Alberth, S. & Hope, C., 2006. "Policy Implications of Stochastic Learning Using a Modified PAGE2002 Model," Cambridge Working Papers in Economics 0633, Faculty of Economics, University of Cambridge.
  5. Hayward, Jennifer A. & Graham, Paul W., 2013. "A global and local endogenous experience curve model for projecting future uptake and cost of electricity generation technologies," Energy Economics, Elsevier, vol. 40(C), pages 537-548.
  6. Matteson, Schuyler & Williams, Eric, 2015. "Residual learning rates in lead-acid batteries: Effects on emerging technologies," Energy Policy, Elsevier, vol. 85(C), pages 71-79.
  7. Dalton, G.J. & Alcorn, R. & Lewis, T., 2012. "A 10 year installation program for wave energy in Ireland: A case study sensitivity analysis on financial returns," Renewable Energy, Elsevier, vol. 40(1), pages 80-89.
  8. Lehmann, Paul, 2013. "Supplementing an emissions tax by a feed-in tariff for renewable electricity to address learning spillovers," Energy Policy, Elsevier, vol. 61(C), pages 635-641.
  9. Voormolen, J.A. & Junginger, H.M. & van Sark, W.G.J.H.M., 2016. "Unravelling historical cost developments of offshore wind energy in Europe," Energy Policy, Elsevier, vol. 88(C), pages 435-444.
  10. Malte Schwoon, 2006. "Learning-by-doing, Learning Spillovers and the Diffusion of Fuel Cell Vehicles," Working Papers FNU-112, Research unit Sustainability and Global Change, Hamburg University, revised Jun 2006.
  11. Gosens, Jorrit & Hedenus, Fredrik & Sandén, Björn A., 2017. "Faster market growth of wind and PV in late adopters due to global experience build-up," Energy, Elsevier, vol. 131(C), pages 267-278.
  12. Martinsen, Thomas, 2010. "Global technology learning and national policy--An incentive scheme for governments to assume the high cost of early deployment exemplified by Norway," Energy Policy, Elsevier, vol. 38(8), pages 4163-4172, August.
  13. Coulomb, L. & Neuhoff, K., 2006. "Learning curves and changing product attributes: the case of wind turbines," Cambridge Working Papers in Economics 0618, Faculty of Economics, University of Cambridge.
  14. Xin-gang, Zhao & Lei, Xu & Ying, Zhou, 2022. "How to promote the effective implementation of China’s Renewable Portfolio Standards considering non-neutral technology?," Energy, Elsevier, vol. 238(PB).
  15. Langer, Jannis & Quist, Jaco & Blok, Kornelis, 2022. "Upscaling scenarios for ocean thermal energy conversion with technological learning in Indonesia and their global relevance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
  16. Mauleón, Ignacio, 2016. "Photovoltaic learning rate estimation: Issues and implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 507-524.
  17. Qiu, Yueming & Anadon, Laura D., 2012. "The price of wind power in China during its expansion: Technology adoption, learning-by-doing, economies of scale, and manufacturing localization," Energy Economics, Elsevier, vol. 34(3), pages 772-785.
  18. Lindman, Åsa & Söderholm, Patrik, 2012. "Wind power learning rates: A conceptual review and meta-analysis," Energy Economics, Elsevier, vol. 34(3), pages 754-761.
  19. Rout, Ullash K. & Fahl, Ulrich & Remme, Uwe & Blesl, Markus & Voß, Alfred, 2009. "Endogenous implementation of technology gap in energy optimization models--a systematic analysis within TIMES G5 model," Energy Policy, Elsevier, vol. 37(7), pages 2814-2830, July.
  20. Dali T. Laxton, 2019. "Innovations in the Wind Energy Sector," CERGE-EI Working Papers wp647, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
  21. van Sark, W.G.J.H.M. & Alsema, E.A., 2010. "Potential errors when fitting experience curves by means of spreadsheet software," Energy Policy, Elsevier, vol. 38(11), pages 7508-7511, November.
  22. Hong, Soonpa & Yang, Taeyong & Chang, Hyun Joon & Hong, Sungjun, 2020. "The effect of switching renewable energy support systems on grid parity for photovoltaics: Analysis using a learning curve model," Energy Policy, Elsevier, vol. 138(C).
  23. Davis, Clay D. & Gotham, Douglas J. & Preckel, Paul V. & Liu, Andrew L., 2013. "Determining the impact of wind on system costs via the temporal patterns of load and wind generation," Energy Policy, Elsevier, vol. 60(C), pages 122-131.
  24. Hoogwijk, Monique & van Vuuren, Detlef & de Vries, Bert & Turkenburg, Wim, 2007. "Exploring the impact on cost and electricity production of high penetration levels of intermittent electricity in OECD Europe and the USA, results for wind energy," Energy, Elsevier, vol. 32(8), pages 1381-1402.
  25. Paul Kerr & Donald R. Noble & Jonathan Hodges & Henry Jeffrey, 2021. "Implementing Radical Innovation in Renewable Energy Experience Curves," Energies, MDPI, vol. 14(9), pages 1-28, April.
  26. Rout, Ullash K. & Blesl, Markus & Fahl, Ulrich & Remme, Uwe & Voß, Alfred, 2009. "Uncertainty in the learning rates of energy technologies: An experiment in a global multi-regional energy system model," Energy Policy, Elsevier, vol. 37(11), pages 4927-4942, November.
  27. Kahouli, Sondès, 2011. "Effects of technological learning and uranium price on nuclear cost: Preliminary insights from a multiple factors learning curve and uranium market modeling," Energy Economics, Elsevier, vol. 33(5), pages 840-852, September.
  28. Gregory F. Nemet, 2006. "How well does Learning-by-doing Explain Cost Reductions in a Carbon-free Energy Technology?," Working Papers 2006.143, Fondazione Eni Enrico Mattei.
  29. del Río, Pablo & Calvo Silvosa, Anxo & Iglesias Gómez, Guillermo, 2011. "Policies and design elements for the repowering of wind farms: A qualitative analysis of different options," Energy Policy, Elsevier, vol. 39(4), pages 1897-1908, April.
  30. Olsina, Fernando & Roscher, Mark & Larisson, Carlos & Garces, Francisco, 2007. "Short-term optimal wind power generation capacity in liberalized electricity markets," Energy Policy, Elsevier, vol. 35(2), pages 1257-1273, February.
  31. Sascha Samadi, 2016. "A Review of Factors Influencing the Cost Development of Electricity Generation Technologies," Energies, MDPI, vol. 9(11), pages 1-25, November.
  32. Tu, Qiang & Betz, Regina & Mo, Jianlei & Fan, Ying & Liu, Yu, 2019. "Achieving grid parity of wind power in China – Present levelized cost of electricity and future evolution," Applied Energy, Elsevier, vol. 250(C), pages 1053-1064.
  33. Lu, Ze-Yu & Li, Wen-Hua & Xie, Bai-Chen & Shang, Li-Feng, 2015. "Study on China’s wind power development path—Based on the target for 2030," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 197-208.
  34. Heuberger, Clara F. & Rubin, Edward S. & Staffell, Iain & Shah, Nilay & Mac Dowell, Niall, 2017. "Power capacity expansion planning considering endogenous technology cost learning," Applied Energy, Elsevier, vol. 204(C), pages 831-845.
  35. Michael Dale & Susan Krumdieck & Pat Bodger, 2011. "A Dynamic Function for Energy Return on Investment," Sustainability, MDPI, vol. 3(10), pages 1-14, October.
  36. Lecca, Patrizio & McGregor, Peter G. & Swales, Kim J. & Tamba, Marie, 2017. "The Importance of Learning for Achieving the UK's Targets for Offshore Wind," Ecological Economics, Elsevier, vol. 135(C), pages 259-268.
  37. Iyer, Gokul C. & Clarke, Leon E. & Edmonds, James A. & Hultman, Nathan E. & McJeon, Haewon C., 2015. "Long-term payoffs of near-term low-carbon deployment policies," Energy Policy, Elsevier, vol. 86(C), pages 493-505.
  38. Schauf, Magnus & Schwenen, Sebastian, 2021. "Mills of progress grind slowly? Estimating learning rates for onshore wind energy," Energy Economics, Elsevier, vol. 104(C).
  39. Bolinger, Mark & Wiser, Ryan, 2009. "Wind power price trends in the United States: Struggling to remain competitive in the face of strong growth," Energy Policy, Elsevier, vol. 37(3), pages 1061-1071, March.
  40. Enrica De Cian & Valentina Bosetti & Alessandra Sgobbi & Massimo Tavoni, 2009. "The 2008 WITCH Model: New Model Features and Baseline," Working Papers 2009.85, Fondazione Eni Enrico Mattei.
  41. Samadi, Sascha, 2018. "The experience curve theory and its application in the field of electricity generation technologies – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2346-2364.
  42. Alberth, S. & Hope, C., 2006. "Developing the PAGE2002 Model with Endogenous Technical Change," Cambridge Working Papers in Economics 0632, Faculty of Economics, University of Cambridge.
  43. Reichenbach, Johanna & Requate, Till, 2012. "Subsidies for renewable energies in the presence of learning effects and market power," Resource and Energy Economics, Elsevier, vol. 34(2), pages 236-254.
  44. Alberth, Stephan & Hope, Chris, 2007. "Climate modelling with endogenous technical change: Stochastic learning and optimal greenhouse gas abatement in the PAGE2002 model," Energy Policy, Elsevier, vol. 35(3), pages 1795-1807, March.
  45. Grafström, Jonas & Lindman, Åsa, 2017. "Invention, innovation and diffusion in the European wind power sector," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 179-191.
  46. Kyunam Kim & Eunnyeong Heo & Yeonbae Kim, 2017. "Dynamic Policy Impacts on a Technological-Change System of Renewable Energy: An Empirical Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 66(2), pages 205-236, February.
  47. del Río, Pablo & Bleda, Mercedes, 2012. "Comparing the innovation effects of support schemes for renewable electricity technologies: A function of innovation approach," Energy Policy, Elsevier, vol. 50(C), pages 272-282.
  48. Weiss, Martin & Patel, Martin K. & Junginger, Martin & Blok, Kornelis, 2010. "Analyzing price and efficiency dynamics of large appliances with the experience curve approach," Energy Policy, Elsevier, vol. 38(2), pages 770-783, February.
  49. Farrell, Niall & Donoghue, Cathal O’ & Morrissey, Karyn, 2015. "Quantifying the uncertainty of wave energy conversion device cost for policy appraisal: An Irish case study," Energy Policy, Elsevier, vol. 78(C), pages 62-77.
  50. Tolis, Athanasios I. & Rentizelas, Athanasios A., 2011. "An impact assessment of electricity and emission allowances pricing in optimised expansion planning of power sector portfolios," Applied Energy, Elsevier, vol. 88(11), pages 3791-3806.
  51. Niall Farrell & Seán Lyons, 2016. "Equity impacts of energy and climate policy: who is shouldering the burden?," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(5), pages 492-509, September.
  52. Tolis, Athanasios I. & Rentizelas, Athanasios A. & Tatsiopoulos, Ilias P., 2010. "Time-dependent opportunities in energy business: A comparative study of locally available renewable and conventional fuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 384-393, January.
  53. Kostas Fragkiadakis & Panagiotis Fragkos & Leonidas Paroussos, 2020. "Low-Carbon R&D Can Boost EU Growth and Competitiveness," Energies, MDPI, vol. 13(19), pages 1-29, October.
  54. Gan, Peck Yean & Li, ZhiDong, 2015. "Quantitative study on long term global solar photovoltaic market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 46(C), pages 88-99.
  55. Rout, Ullash K. & Akimoto, Keigo & Sano, Fuminori & Tomoda, Toshimasa, 2010. "Introduction of subsidisation in nascent climate-friendly learning technologies and evaluation of its effectiveness," Energy Policy, Elsevier, vol. 38(1), pages 520-532, January.
  56. Ehlers, Melf-Hinrich & Sutherland, Lee-Ann, 2016. "Patterns of attention to renewable energy in the British farming press from 1980 to 2013," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 959-973.
  57. Mauleón, Ignacio & Hamoudi, Hamid, 2017. "Photovoltaic and wind cost decrease estimation: Implications for investment analysis," Energy, Elsevier, vol. 137(C), pages 1054-1065.
  58. Liu, Xi & Du, Huibin & Brown, Marilyn A. & Zuo, Jian & Zhang, Ning & Rong, Qian & Mao, Guozhu, 2018. "Low-carbon technology diffusion in the decarbonization of the power sector: Policy implications," Energy Policy, Elsevier, vol. 116(C), pages 344-356.
  59. Tadeusz Skoczkowski & Sławomir Bielecki & Joanna Wojtyńska, 2019. "Long-Term Projection of Renewable Energy Technology Diffusion," Energies, MDPI, vol. 12(22), pages 1-24, November.
  60. Yu, Yang & Li, Hong & Che, Yuyuan & Zheng, Qiongjie, 2017. "The price evolution of wind turbines in China: A study based on the modified multi-factor learning curve," Renewable Energy, Elsevier, vol. 103(C), pages 522-536.
  61. Reinhard Haas & Marlene Sayer & Amela Ajanovic & Hans Auer, 2023. "Technological learning: Lessons learned on energy technologies," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 12(2), March.
  62. Sharay Astariz & Gregorio Iglesias, 2015. "Enhancing Wave Energy Competitiveness through Co-Located Wind and Wave Energy Farms. A Review on the Shadow Effect," Energies, MDPI, vol. 8(7), pages 1-23, July.
  63. Ding, Hao & Zhou, Dequn & Zhou, P., 2020. "Optimal policy supports for renewable energy technology development: A dynamic programming model," Energy Economics, Elsevier, vol. 92(C).
  64. Dalton, Gordon & Allan, Grant & Beaumont, Nicola & Georgakaki, Aliki & Hacking, Nick & Hooper, Tara & Kerr, Sandy & O’Hagan, Anne Marie & Reilly, Kieran & Ricci, Pierpaolo & Sheng, Wanan & Stallard, T, 2015. "Economic and socio-economic assessment methods for ocean renewable energy: Public and private perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 850-878.
  65. Zhang, Shuwei & Bauer, Nico & Yin, Guangzhi & Xie, Xi, 2020. "Technology learning and diffusion at the global and local scales: A modeling exercise in the REMIND model," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
  66. Kumbaroglu, Gürkan & Madlener, Reinhard & Demirel, Mustafa, 2008. "A real options evaluation model for the diffusion prospects of new renewable power generation technologies," Energy Economics, Elsevier, vol. 30(4), pages 1882-1908, July.
  67. Antweiler, Werner, 2017. "A two-part feed-in-tariff for intermittent electricity generation," Energy Economics, Elsevier, vol. 65(C), pages 458-470.
  68. Williges, Keith & Lilliestam, Johan & Patt, Anthony, 2010. "Making concentrated solar power competitive with coal: The costs of a European feed-in tariff," Energy Policy, Elsevier, vol. 38(6), pages 3089-3097, June.
  69. Ramírez, C.A. & Worrell, E., 2006. "Feeding fossil fuels to the soil," Resources, Conservation & Recycling, Elsevier, vol. 46(1), pages 75-93.
  70. Tian Tang & David Popp, 2014. "The Learning Process and Technological Change in Wind Power: Evidence from China's CDM Wind Projects," NBER Working Papers 19921, National Bureau of Economic Research, Inc.
  71. del Río, Pablo, 2012. "The dynamic efficiency of feed-in tariffs: The impact of different design elements," Energy Policy, Elsevier, vol. 41(C), pages 139-151.
  72. Verdolini, Elena & Anadon, Laura Diaz & Lu, Jiaqi & Nemet, Gregory F., 2015. "The effects of expert selection, elicitation design, and R&D assumptions on experts' estimates of the future costs of photovoltaics," Energy Policy, Elsevier, vol. 80(C), pages 233-243.
  73. Saed Alizamir & Francis de Véricourt & Peng Sun, 2016. "Efficient Feed-In-Tariff Policies for Renewable Energy Technologies," Operations Research, INFORMS, vol. 64(1), pages 52-66, February.
  74. Sun, Xiaojing & Huang, Diangui & Wu, Guoqing, 2012. "The current state of offshore wind energy technology development," Energy, Elsevier, vol. 41(1), pages 298-312.
  75. Weiss, Martin & Dittmar, Lars & Junginger, Martin & Patel, Martin K. & Blok, Kornelis, 2009. "Market diffusion, technological learning, and cost-benefit dynamics of condensing gas boilers in the Netherlands," Energy Policy, Elsevier, vol. 37(8), pages 2962-2976, August.
  76. Kern, Florian & Verhees, Bram & Raven, Rob & Smith, Adrian, 2015. "Empowering sustainable niches: Comparing UK and Dutch offshore wind developments," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 344-355.
  77. Buckman, Greg & Diesendorf, Mark, 2010. "Design limitations in Australian renewable electricity policies," Energy Policy, Elsevier, vol. 38(7), pages 3365-3376, July.
  78. Ivan Diaz-Rainey, 2010. "Modelling international wind energy diffusion: Are the patterns of induced diffusion S shaped?," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2010-07, Centre for Competition Policy, University of East Anglia, Norwich, UK..
  79. Lund, P.D., 2011. "Boosting new renewable technologies towards grid parity – Economic and policy aspects," Renewable Energy, Elsevier, vol. 36(11), pages 2776-2784.
  80. Mostafaeipour, Ali, 2010. "Productivity and development issues of global wind turbine industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1048-1058, April.
  81. Esmaieli, M. & Ahmadian, M., 2018. "The effect of research and development incentive on wind power investment, a system dynamics approach," Renewable Energy, Elsevier, vol. 126(C), pages 765-773.
  82. Izquierdo, Salvador & Montañés, Carlos & Dopazo, César & Fueyo, Norberto, 2010. "Analysis of CSP plants for the definition of energy policies: The influence on electricity cost of solar multiples, capacity factors and energy storage," Energy Policy, Elsevier, vol. 38(10), pages 6215-6221, October.
  83. Chinmoy, Lakshmi & Iniyan, S. & Goic, Ranko, 2019. "Modeling wind power investments, policies and social benefits for deregulated electricity market – A review," Applied Energy, Elsevier, vol. 242(C), pages 364-377.
  84. Yuan, Jiahai & Xu, Yan & Kang, Junjie & Zhang, Xingping & Hu, Zheng, 2014. "Nonlinear integrated resource strategic planning model and case study in China's power sector planning," Energy, Elsevier, vol. 67(C), pages 27-40.
  85. Sunak, Yasin & Madlener, Reinhard, 2012. "The Impact of Wind Farms on Property Values: A Geographically Weighted Hedonic Pricing Model," FCN Working Papers 3/2012, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised Mar 2013.
  86. Williams, Eric & Hittinger, Eric & Carvalho, Rexon & Williams, Ryan, 2017. "Wind power costs expected to decrease due to technological progress," Energy Policy, Elsevier, vol. 106(C), pages 427-435.
  87. Lam, Long T. & Branstetter, Lee & Azevedo, Inês M.L., 2017. "China's wind industry: Leading in deployment, lagging in innovation," Energy Policy, Elsevier, vol. 106(C), pages 588-599.
  88. Clas‐Otto Wene, 2016. "Future energy system development depends on past learning opportunities," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(1), pages 16-32, January.
  89. Kubiszewski, Ida & Cleveland, Cutler J. & Endres, Peter K., 2010. "Meta-analysis of net energy return for wind power systems," Renewable Energy, Elsevier, vol. 35(1), pages 218-225.
  90. Wu, X.D. & Yang, Q. & Chen, G.Q. & Hayat, T. & Alsaedi, A., 2016. "Progress and prospect of CCS in China: Using learning curve to assess the cost-viability of a 2×600MW retrofitted oxyfuel power plant as a case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1274-1285.
  91. Dale, Michael & Krumdieck, Susan & Bodger, Pat, 2011. "Net energy yield from production of conventional oil," Energy Policy, Elsevier, vol. 39(11), pages 7095-7102.
  92. Wüstemeyer, Christoph & Bunn, Derek & Madlener, Reinhard, 2012. "Bridging the Gap between Onshore and Offshore Innovations by the European Wind Power Supply Industry: A Survey-based Analysis," FCN Working Papers 19/2012, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
  93. Dosi, Giovanni & Grazzi, Marco & Mathew, Nanditha, 2017. "The cost-quantity relations and the diverse patterns of “learning by doing”: Evidence from India," Research Policy, Elsevier, vol. 46(10), pages 1873-1886.
  94. Gunther Glenk & Rebecca Meier & Stefan Reichelstein, 2021. "Cost Dynamics of Clean Energy Technologies," Schmalenbach Journal of Business Research, Springer, vol. 73(2), pages 179-206, June.
  95. Xu, Mei & Xie, Pu & Xie, Bai-Chen, 2020. "Study of China's optimal solar photovoltaic power development path to 2050," Resources Policy, Elsevier, vol. 65(C).
  96. Xu, Jiuping & Liu, Tingting, 2020. "Technological paradigm-based approaches towards challenges and policy shifts for sustainable wind energy development," Energy Policy, Elsevier, vol. 142(C).
  97. Wüstemeyer, Christoph & Madlener, Reinhard & Bunn, Derek W., 2015. "A stakeholder analysis of divergent supply-chain trends for the European onshore and offshore wind installations," Energy Policy, Elsevier, vol. 80(C), pages 36-44.
  98. Allan, Grant & Gilmartin, Michelle & McGregor, Peter & Swales, Kim, 2011. "Levelised costs of Wave and Tidal energy in the UK: Cost competitiveness and the importance of "banded" Renewables Obligation Certificates," Energy Policy, Elsevier, vol. 39(1), pages 23-39, January.
  99. Brandt, Urs Steiner & Svendsen, Gert Tinggaard, 2006. "Climate change negotiations and first-mover advantages: the case of the wind turbine industry," Energy Policy, Elsevier, vol. 34(10), pages 1175-1184, July.
  100. Desroches, Louis-Benoit & Garbesi, Karina & Kantner, Colleen & Van Buskirk, Robert & Yang, Hung-Chia, 2013. "Incorporating experience curves in appliance standards analysis," Energy Policy, Elsevier, vol. 52(C), pages 402-416.
  101. Nemet, Gregory F., 2009. "Interim monitoring of cost dynamics for publicly supported energy technologies," Energy Policy, Elsevier, vol. 37(3), pages 825-835, March.
  102. Pettersson, Fredrik & Söderholm, Patrik, 2009. "The diffusion of renewable electricity in the presence of climate policy and technology learning: The case of Sweden," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 2031-2040, October.
  103. Liu, Hengwei & Liang, Dapeng, 2013. "A review of clean energy innovation and technology transfer in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 486-498.
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  106. Dinica, Valentina, 2011. "Renewable electricity production costs--A framework to assist policy-makers' decisions on price support," Energy Policy, Elsevier, vol. 39(7), pages 4153-4167, July.
  107. Kumbaroglu, Gürkan & Karali, Nihan & ArIkan, YIldIz, 2008. "CO2, GDP and RET: An aggregate economic equilibrium analysis for Turkey," Energy Policy, Elsevier, vol. 36(7), pages 2694-2708, July.
  108. van den Broek, Machteld & Veenendaal, Paul & Koutstaal, Paul & Turkenburg, Wim & Faaij, André, 2011. "Impact of international climate policies on CO2 capture and storage deployment: Illustrated in the Dutch energy system," Energy Policy, Elsevier, vol. 39(4), pages 2000-2019, April.
  109. Beck, Marisa & Rivers, Nicholas & Wigle, Randall, 2018. "How do learning externalities influence the evaluation of Ontario's renewables support policies?," Energy Policy, Elsevier, vol. 117(C), pages 86-99.
  110. Partridge, Ian, 2013. "Renewable electricity generation in India—A learning rate analysis," Energy Policy, Elsevier, vol. 60(C), pages 906-915.
  111. Glenk, Gunther & Meier, Rebecca & Reichelstein, Stefan, 2021. "Cost dynamics of clean energy technologies," ZEW Discussion Papers 21-054, ZEW - Leibniz Centre for European Economic Research.
  112. Cai, Mattia & Cusumano, Niccolò & Lorenzoni, Arturo & Pontoni, Federico, 2017. "A comprehensive ex-post assessment of RES deployment in Italy: Jobs, value added and import leakages," Energy Policy, Elsevier, vol. 110(C), pages 234-245.
  113. Yu, Hao & Wei, Yi-Ming & Tang, Bao-Jun & Mi, Zhifu & Pan, Su-Yan, 2016. "Assessment on the research trend of low-carbon energy technology investment: A bibliometric analysis," Applied Energy, Elsevier, vol. 184(C), pages 960-970.
  114. Candelise, Chiara & Winskel, Mark & Gross, Robert J.K., 2013. "The dynamics of solar PV costs and prices as a challenge for technology forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 96-107.
  115. Matteson, Schuyler, 2014. "Methods for multi-criteria sustainability and reliability assessments of power systems," Energy, Elsevier, vol. 71(C), pages 130-136.
  116. Kahouli-Brahmi, Sondes, 2009. "Testing for the presence of some features of increasing returns to adoption factors in energy system dynamics: An analysis via the learning curve approach," Ecological Economics, Elsevier, vol. 68(4), pages 1195-1212, February.
  117. Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
  118. Bläsi, Albrecht & Requate, Till, 2007. "Subsidies for Wind Power: Surfing down the Learning Curve?," Economics Working Papers 2007-28, Christian-Albrechts-University of Kiel, Department of Economics.
  119. Wenli Qiang & Shuwen Niu & Xiaojie Liu & Xiang Wang & Zhuo Jia & Runqi Dai, 2018. "Analysis of generation cost changes during China’s energy transition," Energy & Environment, , vol. 29(4), pages 456-472, June.
  120. Kaldellis, John K. & Zafirakis, D., 2011. "The wind energy (r)evolution: A short review of a long history," Renewable Energy, Elsevier, vol. 36(7), pages 1887-1901.
  121. Astariz, S. & Iglesias, G., 2015. "The economics of wave energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 397-408.
  122. Tian Tang & David Popp, 2014. "The Learning Process and Technological Change in Wind Power: Evidence from China's CDM Wind Projects," CESifo Working Paper Series 4705, CESifo.
  123. Sijm, Jos & Lehmann, Paul & Chewpreecha, Unnada & Gawel, Erik & Mercure, Jean-Francois & Pollitt, Hector & Strunz, Sebastian, 2014. "EU climate and energy policy beyond 2020: Are additional targets and instruments for renewables economically reasonable?," UFZ Discussion Papers 3/2014, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
  124. Bergek, Anna & Berggren, Christian, 2014. "The impact of environmental policy instruments on innovation: A review of energy and automotive industry studies," Ecological Economics, Elsevier, vol. 106(C), pages 112-123.
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