Simulation of Greenhouse Gas Cap-and-Trade Systems with ENERGY 2020

Part of the Understanding Complex Systems book series (UCS)


Greenhouse gas cap-and-trade systems have been developed and proposed as a partial solution to climate change due to greenhouse gas emissions. ENERGY 2020 has been used to simulate cap-and-trade systems for 15 years. This chapter provides an overview of the ENERGY 2020 simulation model, describes using ENERGY 2020 to simulate various greenhouse gas cap-and-trade systems, and reflects on the lessons learned in the modeling process. ENERGY 2020 is an integrated, multi-region, energy model that has been actively used by state, provincial, and national governments as well as private energy companies since the early 1980s to conduct energy and emission related policy analysis and forecasting. Beginning in 1998, ENERGY 2020 has also been used to analyze several different cap-and-trade systems in the US and Canada.


Cap-and-trade Energy demand forecasting Energy supply forecasting Energy prices Simulation modeling Energy policy analysis Greenhouse gases Climate change Policy analysis Energy forecasting Offsets Emission allowances Gratis permits Feedback Stock and flow 


  1. Amlin, J., Backus, G., Nabors, O.: A history of making energy policy. System Dynamics Conference, Albuquerque, NM, 2009. (2009). Accessed 21 May 2013
  2. Air Resources Board: Climate change scoping plan, California Air Resources Board, December, 2008. (2008). Accessed 21 May 2013
  3. Air Resources Board: Agreement 11-415 Between Air Resources Board and Western Climate Initiative, Incorporated, California Air Resources Board, January, 2012, Mary D. Nichols, Chairman, Sacramento, California 95812. (2012). Accessed 21 May 2013
  4. Energy Information Agency: Annual energy review, Table 5.13c Petroleum Consumption Estimates: Transportation Sector, 1949–2011, Energy Information Agency, US Department of Energy, September 27, 2012. (2012). Accessed 21 May 2013
  5. Granger, C.W.J., Engle, R.F.: Co-integration and error-correction: Representation, estimation and testing. Econometrica 55(2), 251–276 (1987)MathSciNetCrossRefMATHGoogle Scholar
  6. Granger, C.W.J., Newbold, P.: Forecasting Economic Time Series. Academic Press (1977) (second edition: 1986)Google Scholar
  7. McFadden, D.L., Domencich, T.: Urban Travel Demand: A Behavioral Analysis. North-Holland Publishing Co. (1975) (Reprinted 1996)Google Scholar
  8. State of Illinois: Illinois Climate Change Advisory Group. Report of the Illinois Climate Change Advisory Group, July 2008. (2008). Accessed 21 May 2013
  9. State of Wisconsin: Wisconsin’s Strategy for Reducing Global Warming, Governor’s Task Force on Global Warming Final Report to Governor Jim Doyle, July 2008. (2008). Accessed 21 May 2013
  10. Systematic Solutions, Incorporated: ENERGY 2020 Model Documentation. Systematic Solutions, Inc. (1996)Google Scholar
  11. Western Climate Initiative: Design-Recommendations-for-the-WCI-Regional-Cap-and-Trade-Program. Western Climate Initiative, March, 2009. (2009). Accessed 21 May 2013
  12. Wikipedia: Carbon Offset, May, 2013. (2013). Accessed 21 May 2013

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.XeniaUSA

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