IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v22y1997i7p693-704.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544297000054
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/S0360-5442(97)00005-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. 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.
    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. Chung, William, 2002. "WWW-WATEMS-GDL: an internet modelling system for energy policy models," Energy, Elsevier, vol. 27(6), pages 569-577.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    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.

    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. 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.
    2. Marc Vielle & Alain L. Bernard, 1998. "Un exemple d'utilisation : le coût de politiques de réduction des gaz à effet de serre," Économie et Prévision, Programme National Persée, vol. 136(5), pages 33-48.
    3. Baker, Erin, 2005. "Uncertainty and learning in a strategic environment: global climate change," Resource and Energy Economics, Elsevier, vol. 27(1), pages 19-40, January.
    4. Rosendahl, Knut Einar, 2004. "Cost-effective environmental policy: implications of induced technological change," Journal of Environmental Economics and Management, Elsevier, vol. 48(3), pages 1099-1121, November.
    5. Rose, Steven K., 2014. "Integrated assessment modeling of climate change adaptation in forestry and pasture land use: A review," Energy Economics, Elsevier, vol. 46(C), pages 548-554.
    6. Roberto Roson & Francesco Bosello, 2007. "Estimating a Climate Change Damage Function through General Equilibrium Modeling," Working Papers 2007_08, Department of Economics, University of Venice "Ca' Foscari".
    7. Toth, Ferenc L, 1995. "Discounting in integrated assessments of climate change," Energy Policy, Elsevier, vol. 23(4-5), pages 403-409.
    8. repec:dgr:uvatin:20020095 is not listed on IDEAS
    9. Fankhauser, Samuel & Kverndokk, Snorre, 1996. "The global warming game -- Simulations of a CO2-reduction agreement," Resource and Energy Economics, Elsevier, vol. 18(1), pages 83-102, March.
    10. Wene, C.-O., 1996. "Energy-economy analysis: Linking the macroeconomic and systems engineering approaches," Energy, Elsevier, vol. 21(9), pages 809-824.
    11. Klinge Jacobsen, Henrik, 1998. "Integrating the bottom-up and top-down approach to energy-economy modelling: the case of Denmark," Energy Economics, Elsevier, vol. 20(4), pages 443-461, September.
    12. Lawrence H. Goulder, 1992. "Do the Costs of a Carbon Tax Vanish When Interactions With Other Taxes are Accounted For?," NBER Working Papers 4061, National Bureau of Economic Research, Inc.
    13. Nordhaus, William, 2013. "Integrated Economic and Climate Modeling," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 1069-1131, Elsevier.
    14. Hwang Won-Sik & Oh Inha & Lee Jeong-Dong, 2014. "The Impact of Korea’s Green Growth Policies on the National Economy and Environment," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 14(4), pages 1-30, October.
    15. Anil Markandya & Suzette Pedroso-Galinato, 2007. "How substitutable is natural capital?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(1), pages 297-312, May.
    16. Svendsen, Gert Tinggaard, 1998. "A general model for CO2 regulation: the case of Denmark," Energy Policy, Elsevier, vol. 26(1), pages 33-44, January.
    17. Schmidt, Holger, 1995. "Verteilungseffekte im Klimaschutz-Prozeß," Discussion Papers in Development Economics 18, Justus Liebig University Giessen, Institute for Development Economics.
    18. Koji Tokimatsu & Louis Dupuy & Nick Hanley, 2019. "Using Genuine Savings for Climate Policy Evaluation with an Integrated Assessment Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(1), pages 281-307, January.
    19. Marvão Pereira, Alfredo & Marvão Pereira, Rui Manuel, 2010. "Is fuel-switching a no-regrets environmental policy? VAR evidence on carbon dioxide emissions, energy consumption and economic performance in Portugal," Energy Economics, Elsevier, vol. 32(1), pages 227-242, January.
    20. Henrik Jacobsen, 2000. "Modelling a sector undergoing structural change: The case of Danish energy supply," Annals of Operations Research, Springer, vol. 97(1), pages 231-247, December.

    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:energy:v:22:y:1997:i:7:p:693-704. 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.journals.elsevier.com/energy .

    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.