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Market diffusion, technological learning, and cost-benefit dynamics of condensing gas boilers in the Netherlands

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  • Weiss, Martin
  • Dittmar, Lars
  • Junginger, Martin
  • Patel, Martin K.
  • Blok, Kornelis

Abstract

High costs often prevent the market diffusion of novel and efficient energy technologies. Monitoring cost and price decline for these technologies is thus important in order to establish effective energy policy. Here, we present experience curves and cost-benefit analyses for condensing gas boilers produced and sold in the Netherlands between 1981 and 2006. For the most dominant boiler type on the Dutch market, i.e., condensing gas combi boilers, we identify learning rates of 14±1% for the average price and 16±8% for the additional price relative to non-condensing devices. Economies of scale, competitive sourcing of boiler components, and improvements in boiler assembly are among the main drivers behind the observed price decline. The net present value of condensing gas combi boilers shows an overall increasing trend. Purchasing in 2006 a gas boiler of this type instead of a non-condensing device generates a net present value of 970 EUR (Euro) and realizes CO2 (carbon dioxide) emission savings at negative costs of -120 EUR per tonne CO2. We attribute two-thirds of the improvements in the cost-benefit performance of condensing gas combi boilers to technological learning and one-third to a combination of external effects and governmental policies.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:enepol:v:37:y:2009:i:8:p:2962-2976
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    References listed on IDEAS

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    1. McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
    2. 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.
    3. Junginger, M. & Faaij, A. & Turkenburg, W. C., 2005. "Global experience curves for wind farms," Energy Policy, Elsevier, vol. 33(2), pages 133-150, January.
    4. 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.
    5. 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.
    6. Argote, L. & Epple, D., 1990. "Learning Curves In Manufacturing," GSIA Working Papers 89-90-02, Carnegie Mellon University, Tepper School of Business.
    7. Train, Kenneth, 1985. "Discount rates in consumers' energy-related decisions: A review of the literature," Energy, Elsevier, vol. 10(12), pages 1243-1253.
    8. Meier, Alan K. & Whittier, Jack, 1983. "Consumer discount rates implied by purchases of energy-efficient refrigerators," Energy, Elsevier, vol. 8(12), pages 957-962.
    9. Y. Iwafune, 2000. "Technology Progress Dynamics of Compact Fluorescent Lamps," Working Papers ir00009, International Institute for Applied Systems Analysis.
    10. 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.
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    5. 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.
    6. Gómez, Antonio & Dopazo, César & Fueyo, Norberto, 2015. "The future of energy in Uzbekistan," Energy, Elsevier, vol. 85(C), pages 329-338.
    7. 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.
    8. 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.
    9. 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.
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