IDEAS home Printed from https://ideas.repec.org/r/eee/enepol/v34y2006i17p3317-3326.html
   My bibliography  Save this item

Market penetration rates of new energy technologies

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Cong, Rong-Gang, 2013. "An optimization model for renewable energy generation and its application in China: A perspective of maximum utilization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 94-103.
  2. Lee, Chul-Yong & Huh, Sung-Yoon, 2017. "Forecasting the diffusion of renewable electricity considering the impact of policy and oil prices: The case of South Korea," Applied Energy, Elsevier, vol. 197(C), pages 29-39.
  3. Khanam, Momtaj & Daim, Tugrul, 2021. "A market diffusion potential (MDP) assessment model for residential energy efficient (EE) technologies in the U.S," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
  4. Benjamin K. Sovacool, 2016. "The history and politics of energy transitions: Comparing contested views and finding common ground," WIDER Working Paper Series 081, World Institute for Development Economic Research (UNU-WIDER).
  5. Dodds, Paul E., 2014. "Integrating housing stock and energy system models as a strategy to improve heat decarbonisation assessments," Applied Energy, Elsevier, vol. 132(C), pages 358-369.
  6. Mikkola, Jani & Lund, Peter D., 2016. "Modeling flexibility and optimal use of existing power plants with large-scale variable renewable power schemes," Energy, Elsevier, vol. 112(C), pages 364-375.
  7. Heffron, Raphael J., 2013. "Nuclear new build in the United States 1990–2010: A three state analysis," Technological Forecasting and Social Change, Elsevier, vol. 80(5), pages 876-892.
  8. Jin, Wei & Zhang, ZhongXiang, 2015. "Levelling the playing field: On the missing role of network externality in designing renewable energy technology deployment policies," Working Papers 249514, Australian National University, Centre for Climate Economics & Policy.
  9. Elwell, Clifford A. & Biddulph, Phillip & Lowe, Robert & Oreszczyn, Tadj, 2015. "Determining the impact of regulatory policy on UK gas use using Bayesian analysis on publicly available data," Energy Policy, Elsevier, vol. 86(C), pages 770-783.
  10. Harijan, Khanji & Uqaili, Mohammad A. & Memon, Mujeebuddin & Mirza, Umar K., 2011. "Forecasting the diffusion of wind power in Pakistan," Energy, Elsevier, vol. 36(10), pages 6068-6073.
  11. Liu, Yue & Packey, Daniel J., 2014. "Combined-cycle hydropower systems – The potential of applying hydrokinetic turbines in the tailwaters of existing conventional hydropower stations," Renewable Energy, Elsevier, vol. 66(C), pages 228-231.
  12. Benjamin K. Sovacool, 2016. "The history and politics of energy transitions: Comparing contested views and finding common ground," WIDER Working Paper Series wp-2016-81, World Institute for Development Economic Research (UNU-WIDER).
  13. I.O. Ogundari & A.S. Momodu & A.J. Famurewa & J.B. Akarakiri & W.O. Siyanbola, 2012. "Analysis of Sustainable Cassava Biofuel Production in Nigeria," Energy & Environment, , vol. 23(4), pages 599-618, June.
  14. Inga Boie & Mario Ragwitz & Anne Held, 2016. "A composite indicator for short-term diffusion forecasts of renewable energy technologies – the case of Germany," Energy & Environment, , vol. 27(1), pages 28-54, February.
  15. Arias-Gaviria, Jessica & Carvajal-Quintero, Sandra Ximena & Arango-Aramburo, Santiago, 2019. "Understanding dynamics and policy for renewable energy diffusion in Colombia," Renewable Energy, Elsevier, vol. 139(C), pages 1111-1119.
  16. Collins, Matthew & Curtis, John, 2017. "Advertising and investment spillovers in the diffusion of residential energy efficiency renovations," Papers WP569, Economic and Social Research Institute (ESRI).
  17. Gross, Robert & Hanna, Richard & Gambhir, Ajay & Heptonstall, Philip & Speirs, Jamie, 2018. "How long does innovation and commercialisation in the energy sectors take? Historical case studies of the timescale from invention to widespread commercialisation in energy supply and end use technolo," Energy Policy, Elsevier, vol. 123(C), pages 682-699.
  18. Huh, Sung-Yoon & Lee, Chul-Yong, 2014. "Diffusion of renewable energy technologies in South Korea on incorporating their competitive interrelationships," Energy Policy, Elsevier, vol. 69(C), pages 248-257.
  19. Yi Liang & Xiaoli Hao, 2022. "Can the Agglomeration of New Energy Industries Improve Environmental Efficiency?—Evidence from China," Sustainability, MDPI, vol. 14(14), pages 1-22, July.
  20. Daim, Tugrul & Cowan, Kelly, 2010. "Assessing renewable energy portfolio futures with multiple perspectives: The case of the northwest US," Technology in Society, Elsevier, vol. 32(4), pages 255-263.
  21. Lund, Peter D., 2014. "How fast can businesses in the new energy sector grow? An analysis of critical factors," Renewable Energy, Elsevier, vol. 66(C), pages 33-40.
  22. Hlavinka, Alexander N. & Mjelde, James W. & Dharmasena, Senarath & Holland, Christine, 2016. "Forecasting the adoption of residential ductless heat pumps," Energy Economics, Elsevier, vol. 54(C), pages 60-67.
  23. 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.
  24. Kirkerud, J.G. & Nagel, N.O. & Bolkesjø, T.F., 2021. "The role of demand response in the future renewable northern European energy system," Energy, Elsevier, vol. 235(C).
  25. Arias-Gaviria, Jessica & Larsen, Erik R. & Arango-Aramburo, Santiago, 2018. "Understanding the future of Seawater Air Conditioning in the Caribbean: A simulation approach," Utilities Policy, Elsevier, vol. 53(C), pages 73-83.
  26. Barnes, Belinda & Southwell, Darren & Bruce, Sarah & Woodhams, Felicity, 2014. "Additionality, common practice and incentive schemes for the uptake of innovations," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 43-61.
  27. Purwanto, Widodo Wahyu & Pratama, Yoga Wienda & Nugroho, Yulianto Sulistyo & Warjito, & Hertono, Gatot Fatwanto & Hartono, Djoni & Deendarlianto, & Tezuka, Tetsuo, 2015. "Multi-objective optimization model for sustainable Indonesian electricity system: Analysis of economic, environment, and adequacy of energy sources," Renewable Energy, Elsevier, vol. 81(C), pages 308-318.
  28. Liu, Xianbing & Fan, Yongbin & Li, Chen, 2016. "Carbon pricing for low carbon technology diffusion: A survey analysis of China's cement industry," Energy, Elsevier, vol. 106(C), pages 73-86.
  29. Shoaib Ahmed Khatri & Nayyar Hussain Mirjat & Khanji Harijan & Mohammad Aslam Uqaili & Syed Feroz Shah & Pervez Hameed Shaikh & Laveet Kumar, 2022. "An Overview of the Current Energy Situation of Pakistan and the Way Forward towards Green Energy Implementation," Energies, MDPI, vol. 16(1), pages 1-27, December.
  30. Rao, K. Usha & Kishore, V.V.N., 2010. "A review of technology diffusion models with special reference to renewable energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1070-1078, April.
  31. Klingler, Anna-Lena, 2017. "Self-consumption with PV+Battery systems: A market diffusion model considering individual consumer behaviour and preferences," Applied Energy, Elsevier, vol. 205(C), pages 1560-1570.
  32. Dusonchet, Luigi & Telaretti, Enrico, 2010. "Economic analysis of different supporting policies for the production of electrical energy by solar photovoltaics in western European Union countries," Energy Policy, Elsevier, vol. 38(7), pages 3297-3308, July.
  33. Xu, Jiuping & Li, Li & Zheng, Bobo, 2016. "Wind energy generation technological paradigm diffusion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 436-449.
  34. Bistline, John E. & Rai, Varun, 2010. "The role of carbon capture technologies in greenhouse gas emissions-reduction models: A parametric study for the U.S. power sector," Energy Policy, Elsevier, vol. 38(2), pages 1177-1191, February.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.