Market diffusion, technological learning, and cost-benefit dynamics of condensing gas boilers in the Netherlands
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- McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
- Junginger, Martin & de Visser, Erika & Hjort-Gregersen, Kurt & Koornneef, Joris & Raven, Rob & Faaij, Andre & Turkenburg, Wim, 2006. "Technological learning in bioenergy systems," Energy Policy, Elsevier, vol. 34(18), pages 4024-4041, December.
- Argote, L. & Epple, D., 1990. "Learning Curves In Manufacturing," GSIA Working Papers 89-90-02, Carnegie Mellon University, Tepper School of Business.
- Y. Iwafune, 2000. "Technology Progress Dynamics of Compact Fluorescent Lamps," Working Papers ir00009, International Institute for Applied Systems Analysis.
- John A. ''Skip'' Laitner & Alan H. Sanstad, 2004. "Learning-by-doing on both the demand and the supply sides: implications for electric utility investments in a Heuristic model," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 2(1/2), pages 142-152.
- Weber, C & Gebhardt, B & Fahl, U, 2002. "Market transformation for energy efficient technologies — success factors and empirical evidence for gas condensing boilers," Energy, Elsevier, vol. 27(3), pages 287-315.
- Junginger, M. & Faaij, A. & Turkenburg, W. C., 2005. "Global experience curves for wind farms," Energy Policy, Elsevier, vol. 33(2), pages 133-150, January.
- Grubler, Arnulf & Nakicenovic, Nebojsa & Victor, David G., 1999. "Dynamics of energy technologies and global change," Energy Policy, Elsevier, vol. 27(5), pages 247-280, May.
- Train, Kenneth, 1985. "Discount rates in consumers' energy-related decisions: A review of the literature," Energy, Elsevier, vol. 10(12), pages 1243-1253.
- Meier, Alan K. & Whittier, Jack, 1983. "Consumer discount rates implied by purchases of energy-efficient refrigerators," Energy, Elsevier, vol. 8(12), pages 957-962.
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- Lee, Seungro & Kum, Sung-Min & Lee, Chang-Eon, 2011. "An experimental study of a cylindrical multi-hole premixed burner for the development of a condensing gas boiler," Energy, Elsevier, vol. 36(7), pages 4150-4157.
- Klaassen, R.E. & Patel, M.K., 2013. "District heating in the Netherlands today: A techno-economic assessment for NGCC-CHP (Natural Gas Combined Cycle combined heat and power)," Energy, Elsevier, vol. 54(C), pages 63-73.
- Gómez, Antonio & Dopazo, César & Fueyo, Norberto, 2014. "The causes of the high energy intensity of the Kazakh economy: A characterization of its energy system," Energy, Elsevier, vol. 71(C), pages 556-568.
- Renaldi, Renaldi & Hall, Richard & Jamasb, Tooraj & Roskilly, Anthony P., 2021.
"Experience rates of low-carbon domestic heating technologies in the United Kingdom,"
Energy Policy, Elsevier, vol. 156(C).
- Renaldi, Renaldi & Hall, Richard & Jamasb, Tooraj & Roskilly, Anthony P., 2020. "Experience Rates of Low-Carbon Domestic Heating Technologies in the United Kingdom," Working Papers 16-2020, Copenhagen Business School, Department of Economics.
- Satyavada, Harish & Baldi, Simone, 2018. "Monitoring energy efficiency of condensing boilers via hybrid first-principle modelling and estimation," Energy, Elsevier, vol. 142(C), pages 121-129.
- Groesser, Stefan N., 2014. "Co-evolution of legal and voluntary standards: Development of energy efficiency in Swiss residential building codes," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 1-16.
- Gerssen-Gondelach, S.J. & Saygin, D. & Wicke, B. & Patel, M.K. & Faaij, A.P.C., 2014. "Competing uses of biomass: Assessment and comparison of the performance of bio-based heat, power, fuels and materials," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 964-998.
- Chul-Ho Kim & Seung-Eon Lee & Kang-Soo Kim, 2018. "Analysis of Energy Saving Potential in High-Performance Building Technologies under Korean Climatic Conditions," Energies, MDPI, vol. 11(4), pages 1-34, April.
- Brouwer, Anne Sjoerd & Kuramochi, Takeshi & van den Broek, Machteld & Faaij, André, 2013. "Fulfilling the electricity demand of electric vehicles in the long term future: An evaluation of centralized and decentralized power supply systems," Applied Energy, Elsevier, vol. 107(C), pages 33-51.
- Gómez, Antonio & Dopazo, César & Fueyo, Norberto, 2015. "The future of energy in Uzbekistan," Energy, Elsevier, vol. 85(C), pages 329-338.
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Energy demand technologies Technological learning Experience curves analysis;Statistics
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