IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v36y2008i7p2308-2319.html
   My bibliography  Save this article

Simulation of micro-CHP diffusion by means of System Dynamics

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301-4215(08)00023-2
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Lončar, D. & Duić, N. & Bogdan, Ž., 2009. "An analysis of the legal and market framework for the cogeneration sector in Croatia," Energy, Elsevier, vol. 34(2), pages 134-143.
    2. Saysel, Ali Kerem & Hekimoğlu, Mustafa, 2013. "Exploring the options for carbon dioxide mitigation in Turkish electric power industry: System dynamics approach," Energy Policy, Elsevier, vol. 60(C), pages 675-686.
    3. Leenheer, Jorna & de Nooij, Michiel & Sheikh, Omer, 2011. "Own power: Motives of having electricity without the energy company," Energy Policy, Elsevier, vol. 39(9), pages 5621-5629, September.
    4. William E., Lilley & Luke J., Reedman & Liam D., Wagner & Colin F., Alie & Anthony R., Szatow, 2012. "An economic evaluation of the potential for distributed energy in Australia," Energy Policy, Elsevier, vol. 51(C), pages 277-289.
    5. Ahmad, Salman & Mat Tahar, Razman & Muhammad-Sukki, Firdaus & Munir, Abu Bakar & Abdul Rahim, Ruzairi, 2016. "Application of system dynamics approach in electricity sector modelling: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 29-37.
    6. Kunsch, Pierre L. & Friesewinkel, Jean, 2014. "Nuclear energy policy in Belgium after Fukushima," Energy Policy, Elsevier, vol. 66(C), pages 462-474.
    7. Dalla Valle, Alessandra & Furlan, Claudia, 2011. "Forecasting accuracy of wind power technology diffusion models across countries," International Journal of Forecasting, Elsevier, vol. 27(2), pages 592-601.
    8. Kunsch, P.L. & Kavathatzopoulos, I. & Rauschmayer, F., 2009. "Modelling complex ethical decision problems with operations research," Omega, Elsevier, vol. 37(6), pages 1100-1108, December.
    9. Dalla Valle, Alessandra & Furlan, Claudia, 2011. "Forecasting accuracy of wind power technology diffusion models across countries," International Journal of Forecasting, Elsevier, vol. 27(2), pages 592-601, April.
    10. Verônica Ghisolfi & Lóránt Antal Tavasszy & Gonçalo Homem de Almeida Correia & Gisele de Lorena Diniz Chaves & Glaydston Mattos Ribeiro, 2022. "Freight Transport Decarbonization: A Systematic Literature Review of System Dynamics Models," Sustainability, MDPI, vol. 14(6), pages 1-30, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jean-Pierre Brans & Giorgio Gallo, 2007. "Ethics in OR/MS: past, present and future," Annals of Operations Research, Springer, vol. 153(1), pages 165-178, September.
    2. Kunsch, P.L. & Kavathatzopoulos, I. & Rauschmayer, F., 2009. "Modelling complex ethical decision problems with operations research," Omega, Elsevier, vol. 37(6), pages 1100-1108, December.
    3. Lai, N.Y.G. & Yap, E.H. & Lee, C.W., 2011. "Viability of CCS: A broad-based assessment for Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3608-3616.
    4. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
    5. Bogdanov, Dmitrii & Toktarova, Alla & Breyer, Christian, 2019. "Transition towards 100% renewable power and heat supply for energy intensive economies and severe continental climate conditions: Case for Kazakhstan," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    6. Lafond, François & Bailey, Aimee Gotway & Bakker, Jan David & Rebois, Dylan & Zadourian, Rubina & McSharry, Patrick & Farmer, J. Doyne, 2018. "How well do experience curves predict technological progress? A method for making distributional forecasts," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 104-117.
    7. Harborne, Paul & Hendry, Chris, 2009. "Pathways to commercial wind power in the US, Europe and Japan: The role of demonstration projects and field trials in the innovation process," Energy Policy, Elsevier, vol. 37(9), pages 3580-3595, September.
    8. Peres, Renana & Muller, Eitan & Mahajan, Vijay, 2010. "Innovation diffusion and new product growth models: A critical review and research directions," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 91-106.
    9. Qin, Ruwen & Nembhard, David A., 2012. "Demand modeling of stochastic product diffusion over the life cycle," International Journal of Production Economics, Elsevier, vol. 137(2), pages 201-210.
    10. Bolinger, Mark & Wiser, Ryan, 2009. "Wind power price trends in the United States: Struggling to remain competitive in the face of strong growth," Energy Policy, Elsevier, vol. 37(3), pages 1061-1071, March.
    11. Chakravorty, Ujjayant & Leach, Andrew & Moreaux, Michel, 2009. ""Twin Peaks" in Energy Prices: A Hotelling Model with Pollution Learning," Working Papers 2009-10, University of Alberta, Department of Economics.
    12. Rochedo, Pedro R.R. & Szklo, Alexandre, 2013. "Designing learning curves for carbon capture based on chemical absorption according to the minimum work of separation," Applied Energy, Elsevier, vol. 108(C), pages 383-391.
    13. Méjean, Aurélie & Hope, Chris, 2008. "Modelling the costs of non-conventional oil: A case study of Canadian bitumen," Energy Policy, Elsevier, vol. 36(11), pages 4205-4216, November.
    14. Lee, Shun-Chung & Shih, Li-Hsing, 2010. "Renewable energy policy evaluation using real option model -- The case of Taiwan," Energy Economics, Elsevier, vol. 32(Supplemen), pages 67-78, September.
    15. Moon, Hee Seung & Song, Yong Hyun & Lee, Ji Woo & Hong, Sanghyun & Kim, Eunsung & Kim, Seung Wan, 2024. "Implementation cost of net zero electricity system: Analysis based on Korean national target," Energy Policy, Elsevier, vol. 188(C).
    16. Chen, Huayi & Ma, Tieju, 2017. "Optimizing systematic technology adoption with heterogeneous agents," European Journal of Operational Research, Elsevier, vol. 257(1), pages 287-296.
    17. Chang, Yu Sang, 2014. "Comparative analysis of long-term road fatality targets for individual states in the US—An application of experience curve models," Transport Policy, Elsevier, vol. 36(C), pages 53-69.
    18. Gürsan, C. & de Gooyert, V., 2021. "The systemic impact of a transition fuel: Does natural gas help or hinder the energy transition?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    19. Huang, Yun-Hsun & Wu, Jung-Hua, 2008. "A portfolio risk analysis on electricity supply planning," Energy Policy, Elsevier, vol. 36(2), pages 627-641, February.
    20. Papamichail, K. N. & Robertson, I., 2005. "Integrating decision making and regulation in the management control process," Omega, Elsevier, vol. 33(4), pages 319-332, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:36:y:2008:i:7:p:2308-2319. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.