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Assessing the control of energy-related CO2 emissions with a dynamic energy process model

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  • Wu, Y.June
  • Chung, William

Abstract

In this paper, an energy-process model with geometric distributed lag (GDL) demand, called the energy-GDL process model, is updated to aid in energy-related CO2 emission control policy analysis. The updated model was formulated, constructed and solved with the updated GDL version of the Waterloo Energy Modelling System (WATEMS—GDL), which uses the new decoupling algorithm to calculate an intertemporal equilibrium of energy supplies and demands, along with the corresponding CO2 emission control submodel. The methods used for analysis of the economic impacts of CO2 emission control are carefully explored. An updated energy-GDL process model of supplies and demands of oil, gas, electricity, and coal in Canada is presented, and a comparison of scenarios is discussed to assess the impacts of controls on CO2 emissions in Canada.

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  • Wu, Y.June & Chung, William, 1997. "Assessing the control of energy-related CO2 emissions with a dynamic energy process model," Energy, Elsevier, vol. 22(7), pages 693-704.
    • Handle: RePEc:eee:energy:v:22:y:1997:i:7:p:693-704
    DOI: 10.1016/S0360-5442(97)00005-4
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    References listed on IDEAS

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    1. Alan Manne & Richard Richels, 1992. "Buying Greenhouse Insurance: The Economic Costs of CO2 Emission Limits," MIT Press Books, The MIT Press, edition 1, volume 1, number 026213280x, December.
    2. Y. June Wu & J. David Fuller, 1996. "An Algorithm for the Multiperiod Market Equilibrium Model with Geometric Distributed Lag Demand," Operations Research, INFORMS, vol. 44(6), pages 1002-1012, December.
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    Cited by:

    1. William Chung & J. D. Fuller & Y. June Wu, 2006. "A New Decomposition Method for Multiregional Economic Equilibrium Models," Operations Research, INFORMS, vol. 54(4), pages 643-655, August.
    2. Chung, William, 2002. "WWW-WATEMS-GDL: an internet modelling system for energy policy models," Energy, Elsevier, vol. 27(6), pages 569-577.
    3. Wu, Y. June & Chung, William & Fuller, J. David, 2000. "Decomposing multi-regional dynamic energy process models," Applied Energy, Elsevier, vol. 66(3), pages 225-235, July.
    4. Wu, Y. June & Rosen, Marc A., 1999. "Assessing and optimizing the economic and environmental impacts of cogeneration/district energy systems using an energy equilibrium model," Applied Energy, Elsevier, vol. 62(3), pages 141-154, March.
    5. J. Fuller & William Chung, 2005. "Dantzig—Wolfe Decomposition of Variational Inequalities," Computational Economics, Springer;Society for Computational Economics, vol. 25(4), pages 303-326, June.
    6. W. Chung & J. Fuller & Y. Wu, 2003. "A New Demand-Supply Decomposition Method for a Class of Economic Equilibrium Models," Computational Economics, Springer;Society for Computational Economics, vol. 21(3), pages 231-243, June.
    7. William Chung & J. David Fuller, 2010. "Subproblem Approximation in Dantzig-Wolfe Decomposition of Variational Inequality Models with an Application to a Multicommodity Economic Equilibrium Model," Operations Research, INFORMS, vol. 58(5), pages 1318-1327, October.

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