Meeting the Challenges: Energy Policy Modeling with System Dynamics

  • Hassan Qudrat-UllahEmail author
Part of the SpringerBriefs in Complexity book series (BRIEFSCOMPLEXITY)


Given that energy systems are feedback systems, system dynamics methodology appears to be a natural choice for the energy policy modeling community. Among its strengths is that, it provides a powerful language to represent the causal relationship among the variables of an energy system. First, this chapter provides a brief overview of how system dynamics has been applied to a variety of issues related to the energy policy area. Second, to explain the fundamental structures of energy systems, feedback loops, and the causal loop diagram (CLD) are introduced. Procedures and rules on a feedback loop polarity are elaborated. The utility of a CLD in the construction of a dynamic hypothesis of complex problems is also discussed.


Feedback Loop Energy System Energy Policy System Dynamic Model Production Capital 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Amlin, S. (2013). Simulation of greenhouse gas cap-and-trade systems with energy 2020. In H. Qudrat-Ullah (Ed.), Energy policy modeling in the 21st Century (pp. 107–122). New York, USA: Springer.CrossRefGoogle Scholar
  2. Anand, S., Vrat, P., & Dahiya, R. P. (2005). Application of a system dynamics approach for Assessment and mitigation of CO2 emissions from the cement industry. Journal of Environmental Management, 79, 383–398.CrossRefGoogle Scholar
  3. Arango, S., & Larsen, E. (2011). Cycles in deregulated electricity markets: Empirical evidence from two decades. Energy Policy, 39(5), 2457–2466.CrossRefGoogle Scholar
  4. Aslani, A., Helo, P., & Naaranoja, M. (2014). Role of renewable energy policies in energy dependency in Finland: System dynamics approach. Applied Energy, 113, 758–765.CrossRefGoogle Scholar
  5. Bassi, M., Deenapanray, P., & Davidsen, P. (2013). Energy policy planning for climate-resilient low-carbon development. In H. Qudrat-Ullah (Ed.), Energy policy modeling in the 21st century (pp. 125–156). NY, USA: Springer.CrossRefGoogle Scholar
  6. Bunn, D. W., & Larsen, E. R. (1992). Sensitivity of reserve margin to factors influencing investment behaviour in the electricity market of England and wales. Energy Policy, 20(5), 420–429.CrossRefGoogle Scholar
  7. Bunn, D. W., & Larsen, E. R. (1994). Assessment of the uncertainty in future UK electricity investment using an industry simulation model. Utilities Policy, 4(3), 229–236.CrossRefGoogle Scholar
  8. Bunn, D. W., & Larsen, E. R. (1999). Deregulation in electricity: Understanding strategic and regulatory risk. Journal of the Operational Research Society, 50(4)Google Scholar
  9. Bunn, D. W., Larsen, E., & Vlahos, K. (1993). Complementary modeling approaches for analysing several effects of privatization on electricity investment. The Journal of the Operational Research Society, 44(10), 957–971.CrossRefGoogle Scholar
  10. Davidsen, P., Sterman, J., & Richardson, G. (1990). A petroleum life cycle model for the United States with Endogenous Technology. Exploration, Recovery and Demand, System Dynamics Review, 6(1), 66–93.CrossRefGoogle Scholar
  11. Dimitrovski, A., Ford, A., & Tomsovic, K. (2007a). An interdisciplinary approach to long-term modelling for power system expansion. International Journal of Critical Infrastructures, 3, 235–264.CrossRefGoogle Scholar
  12. Dimitrovski, A., Tomsovic, K., & Ford, A. (2007b). Comprehensive long term modeling of the dynamics of investment and network planning in electric power systems (pp. 235–264)Google Scholar
  13. Dyner, I. (2001). From planning to strategy in the electricity industry. Energy Policy, 1145–1154Google Scholar
  14. Dyner, I., & Bunn, D. W. (1997). A system simulation platform to support energy policy in Columbia. In Systems Modelling (Ed.), for. Energy Policy, Chichester: Wiley.Google Scholar
  15. Dyner, I., Larsen, E. R., & Franco, C. J. (2009). Games for electricity traders: Understanding risk in a deregulated industry. Energy Policy (pp. 465–471).Google Scholar
  16. Dyner, I., Smith, R., & Pena, E. (1995). System dynamics modeling for residential energy efficiency and management. Journal of the Operational Research Society, 46, 1163–1173.CrossRefGoogle Scholar
  17. Feng, Y., Chen, S. Q., & Zhang, L. X. (2013). System dynamics modeling for urban energy consumption and CO2 emissions: A case study of Beijing-China. Ecological Modelling, 252, 44–52.CrossRefGoogle Scholar
  18. Fiddaman, S. (2002). Exploring policy options with a behavioral climate-economy model. System Dynamics Review, 18(2), 243–267.CrossRefGoogle Scholar
  19. Ford, A. (1996). System dynamics and the electric power industry. System Dynamics Review, 13(1), 57–85.CrossRefGoogle Scholar
  20. Ford, A. (2001). Waiting for the boom: A simulation study of power plant construction in California. Energy Policy, 29(11), 847–869.CrossRefGoogle Scholar
  21. Ford, A., Vogstad, K., & Hilary, F. (2007). Simulating price patterns for tradable green certificates to promote electricity generation from wind. Energy Policy, 35, 91–111.CrossRefGoogle Scholar
  22. Forrester, J. (1961). Industrial dynamics. Cambridge, USA: MIT Press.Google Scholar
  23. Han, J., & Hayashi, Y. (2008). A system dynamics model of CO2 mitigation in China’s inter-city passenger transport. Transportation Research Part D: Transport and Environment, 13, 298–305.CrossRefGoogle Scholar
  24. Hasani, M., & Hosseini, S. H. (2011). Dynamic assessment of capacity investment in electricity market considering complementary capacity mechanisms. Energy, 36(1), 277–293.CrossRefGoogle Scholar
  25. Jin, W., Xu, L., & Yang, Z. (2009). Modeling a policy making framework for urban sustainability: Incorporating system dynamics into the ecological footprint. Ecological Economics, 68(12), 2938–2949.CrossRefGoogle Scholar
  26. Naill, R. (1973). The discovery life cycle of a finite resource: A case study of U.S. natural gas, in toward global equilibrium. In D. Meadows & D. Meadows (Eds.). Waltham, MA: Pegasus Communications.Google Scholar
  27. Ochoa, P. (2007). Policy changes in the Swiss electricity market: A system dynamics analysis of likely market responses. Socio-Economic Planning Sciences, 41(4), 336–349.MathSciNetCrossRefGoogle Scholar
  28. Olsina, F., Garces, F., & Haubrich, H.-J. (2006). Modeling long-term dynamics of electricity markets. Energy Policy, 34(12), 1411–1433.CrossRefGoogle Scholar
  29. Park, J., Ahn, N.-S., Yoon, Y.-B., Koh, K.-H., & Bunn, D. W. (2007). Investment incentives in the Korean electricity market. Energy Policy, 35(11), 5819–5828.CrossRefGoogle Scholar
  30. Pasaoglu, G., & Or, I. (2006). A system dynamics model for the decentralized electricity market. International Journal of Simulation Systems Science and Technology, 7(7), 40–55.Google Scholar
  31. Qudrat-Ullah, H. (2005). MDESRAP: A model for understanding the dynamics of electricity supply, resources and pollution. International Journal of Global Energy, 23(1), 1–13.Google Scholar
  32. Qudrat-Ullah, H. (2013). Understanding the dynamics of electricity generation capacity in Canada: A system dynamics approach. Energy, 59, 285–294.CrossRefGoogle Scholar
  33. Qudrat-Ullah, H. (2014). Better decision making in complex, dynamics tasks. USA, New York: Springer.Google Scholar
  34. Qudrat-Ullah, H. (2015). Independent power (or pollution) producers? electricity reforms and IPPs in pakistan. Energy, 83(1), 240–251.Google Scholar
  35. Qudrat-Ullah, H., & Davidsen, P. (2001). Understanding the dynamics of electricity supply, resources and pollution: Pakistan’s case. Energy, 26(6), 595–606.CrossRefGoogle Scholar
  36. Saeed, K. (2013). Managing the energy basket in the face of limits: A search for operational means to sustain energy supply and contain its environmental impact. In H. Qudrat-Ullah (Ed.), Energy policy modeling in the 21st century (pp. 69–86). NYm USA: Springer.CrossRefGoogle Scholar
  37. Sterman, J. (2000). Business dynamics: Systems thinking and modeling for a complex world. NY, USA: McGraw-Hill.Google Scholar
  38. Trappey, A., Trappey, C. V., Lina, G. Y. P., & Chang, Y. S. (2012). The analysis of renewable energy policies for the Taiwan Penghu island administrative region. Renewable and Sustainable Energy Reviews, 16, 958–965.CrossRefGoogle Scholar
  39. van Ackere, A., & Ochoa, P. (2009). Policy changes and the dynamics of capacity expansion in the Swiss electricity market. Energy Policy, 37(5), 1983–1998.CrossRefGoogle Scholar
  40. Vennix, J. (1996). Group model building: Facilitating team learning using system. Chichester, England: Wiley.Google Scholar
  41. Vlahos, K. (1998). The electricy markests microworld. Versión 1.0. LBS, UK.Google Scholar
  42. Vogstad, K., Botterud, A., Maribu, K. M., & Jensen, S. G. (2002). The transition from fossil fuelled to a renewable power supply in a deregulated electricity market. Science And Technology.Google Scholar

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© The Author(s) 2016

Authors and Affiliations

  1. 1.York UniversityTorontoCanada

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