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Simulation of micro-CHP diffusion by means of System Dynamics

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  • Ben Maalla, El Mehdi
  • Kunsch, Pierre L.

Abstract

This paper presents a simulation analysis with System Dynamics of the possible diffusion of micro-systems for combined heat-power generation ([mu]-CHP) as a substitute for centralised electricity generation and local boilers in the residential sector. Decentralised energy production is an important challenge in the 21st century to respond to the threats of exhaustion of non-renewable resources, and of global pollution. The purpose of the System Dynamics modelling is to show the difficulties [mu]-CHP faces, like most innovative technologies, mainly due to its high investment costs. Feedbacks are important in modelling the diffusion process of this technology and the fundamental aspect of learning effects on the cost decrease. The consumer model is based on the replacement of traditional boilers by [mu]-CHP installations using the Bass diffusion model. It is shown that natural economic forces are probably not sufficient to achieve a sustained growth. Several incentive schemes to be implemented by the regulatory authorities are investigated to promote this technology.

Suggested Citation

  • Ben Maalla, El Mehdi & Kunsch, Pierre L., 2008. "Simulation of micro-CHP diffusion by means of System Dynamics," Energy Policy, Elsevier, vol. 36(7), pages 2308-2319, July.
    • Handle: RePEc:eee:enepol:v:36:y:2008:i:7:p:2308-2319
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    References listed on IDEAS

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    1. Parker, Philip M., 1994. "Aggregate diffusion forecasting models in marketing: A critical review," International Journal of Forecasting, Elsevier, vol. 10(2), pages 353-380, September.
    2. McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
    3. Brans, J. P. & Macharis, C. & Kunsch, P. L. & Chevalier, A. & Schwaninger, M., 1998. "Combining multicriteria decision aid and system dynamics for the control of socio-economic processes. An iterative real-time procedure," European Journal of Operational Research, Elsevier, vol. 109(2), pages 428-441, September.
    4. Kunsch, P. L. & Springael, J. & Brans, J. -P., 2004. "The zero-emission certificates: A novel CO2-pollution reduction instrument applied to the electricity market," European Journal of Operational Research, Elsevier, vol. 153(2), pages 386-399, March.
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