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Exploring policy options for a transition to sustainable heating system diffusion using an agent-based simulation

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  • Maya Sopha, Bertha
  • Klöckner, Christian A.
  • Hertwich, Edgar G.

Abstract

Change in home heating to more efficient and renewable systems is important for a sound climate policy. The present paper aims to identify potential interventions for the uptake of wood-pellet heating in Norway using an agent-based model (ABM). The theoretically based, empirically founded, agent-based simulation demonstrates that financial support, i.e., a stable wood-pellet price, and technical development, i.e., functional reliability improvement, have to be established all at the same time for a successful wood-pellet market to start. Furthermore, a soft intervention through persuading households to use environmentally beneficial heating system is not a promising driver for wood-pellet diffusion. Limitations and suggestions for future work are also discussed.

Suggested Citation

  • Maya Sopha, Bertha & Klöckner, Christian A. & Hertwich, Edgar G., 2011. "Exploring policy options for a transition to sustainable heating system diffusion using an agent-based simulation," Energy Policy, Elsevier, vol. 39(5), pages 2722-2729, May.
  • Handle: RePEc:eee:enepol:v:39:y:2011:i:5:p:2722-2729
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    References listed on IDEAS

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    1. Jager, Wander, 2006. "Stimulating the diffusion of photovoltaic systems: A behavioural perspective," Energy Policy, Elsevier, vol. 34(14), pages 1935-1943, September.
    2. Wander Jager & Marco A. Janssen, 2002. "Stimulating diffusion of green products," Journal of Evolutionary Economics, Springer, vol. 12(3), pages 283-306.
    3. Jamasb, Tooraj & Pollitt, Michael, 2008. "Security of supply and regulation of energy networks," Energy Policy, Elsevier, vol. 36(12), pages 4584-4589, December.
    4. Malte Schwoon, 2006. "Simulating the adoption of fuel cell vehicles," Journal of Evolutionary Economics, Springer, vol. 16(4), pages 435-472, October.
    5. Sopha, Bertha Maya & Klöckner, Christian A. & Skjevrak, Geir & Hertwich, Edgar G., 2010. "Norwegian households' perception of wood pellet stove compared to air-to-air heat pump and electric heating," Energy Policy, Elsevier, vol. 38(7), pages 3744-3754, July.
    6. Malte Schwoon, 2005. "Simulating the Adoption of Fuel Cell Vehicles," Working Papers FNU-59, Research unit Sustainability and Global Change, Hamburg University, revised Feb 2006.
    7. Kwok L. Shum, 2010. "Renewable Energy Technology—Is It a Manufactured Technology or an Information Technology?," Sustainability, MDPI, vol. 2(8), pages 1-21, July.
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