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A two-stage inexact-stochastic programming model for planning carbon dioxide emission trading under uncertainty

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Listed:
  • Chen, W.T.
  • Li, Y.P.
  • Huang, G.H.
  • Chen, X.
  • Li, Y.F.

Abstract

In this study, a two-stage inexact-stochastic programming (TISP) method is developed for planning carbon dioxide (CO2) emission trading under uncertainty. The developed TISP incorporates techniques of interval-parameter programming (IPP) and two-stage stochastic programming (TSP) within a general optimization framework. The TISP can not only tackle uncertainties expressed as probabilistic distributions and discrete intervals, but also provide an effective linkage between the pre-regulated greenhouse gas (GHG) management policies and the associated economic implications. The developed method is applied to a case study of energy systems and CO2 emission trading planning under uncertainty. The results indicate that reasonable solutions have been generated. They can be used for generating decision alternatives and thus help decision makers identify desired GHG abatement policies under various economic and system-reliability constraints.

Suggested Citation

  • Chen, W.T. & Li, Y.P. & Huang, G.H. & Chen, X. & Li, Y.F., 2010. "A two-stage inexact-stochastic programming model for planning carbon dioxide emission trading under uncertainty," Applied Energy, Elsevier, vol. 87(3), pages 1033-1047, March.
    • Handle: RePEc:eee:appene:v:87:y:2010:i:3:p:1033-1047
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    1. Claudia Kemfert & Wietze Lise & Richard Tol, 2004. "Games of Climate Change with International Trade," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 28(2), pages 209-232, June.
    2. Manne, Alan & Mendelsohn, Robert & Richels, Richard, 1995. "MERGE : A model for evaluating regional and global effects of GHG reduction policies," Energy Policy, Elsevier, vol. 23(1), pages 17-34, January.
    3. Barrett, Scott, 1994. "Self-Enforcing International Environmental Agreements," Oxford Economic Papers, Oxford University Press, vol. 46(0), pages 878-894, Supplemen.
    4. Roughgarden, Tim & Schneider, Stephen H., 1999. "Climate change policy: quantifying uncertainties for damages and optimal carbon taxes," Energy Policy, Elsevier, vol. 27(7), pages 415-429, July.
    5. Kanudia, Amit & Loulou, Richard, 1998. "Robust responses to climate change via stochastic MARKAL: The case of Quebec," European Journal of Operational Research, Elsevier, vol. 106(1), pages 15-30, April.
    6. Huang, G. H. & Baetz, B. W. & Patry, G. G., 1995. "Grey fuzzy integer programming: An application to regional waste management planning under uncertainty," Socio-Economic Planning Sciences, Elsevier, vol. 29(1), pages 17-38, March.
    7. Parkash Chander & Henry Tulkens, 2006. "A Core-Theoretic Solution for the Design of Cooperative Agreements on Transfrontier Pollution," Springer Books, in: Parkash Chander & Jacques Drèze & C. Knox Lovell & Jack Mintz (ed.), Public goods, environmental externalities and fiscal competition, chapter 0, pages 176-193, Springer.
    8. van der Gaast, Wytze & Begg, Katherine & Flamos, Alexandros, 2009. "Promoting sustainable energy technology transfers to developing countries through the CDM," Applied Energy, Elsevier, vol. 86(2), pages 230-236, February.
    9. Copeland, Brian R. & Taylor, M. Scott, 2005. "Free trade and global warming: a trade theory view of the Kyoto protocol," Journal of Environmental Economics and Management, Elsevier, vol. 49(2), pages 205-234, March.
    10. Forgo, Ferenc & Fulop, Janos & Prill, Maria, 2005. "Game theoretic models for climate change negotiations," European Journal of Operational Research, Elsevier, vol. 160(1), pages 252-267, January.
    11. Schroeder, Miriam, 2009. "Utilizing the clean development mechanism for the deployment of renewable energies in China," Applied Energy, Elsevier, vol. 86(2), pages 237-242, February.
    12. Ciscar, Juan Carlos & Soria, Antonio, 2002. "Prospective analysis of beyond Kyoto climate policy: a sequential game framework," Energy Policy, Elsevier, vol. 30(15), pages 1327-1335, December.
    13. Nordhaus, William D & Yang, Zili, 1996. "A Regional Dynamic General-Equilibrium Model of Alternative Climate-Change Strategies," American Economic Review, American Economic Association, vol. 86(4), pages 741-765, September.
    14. Huang, Guo H. & Baetz, Brian W. & Patry, Gilles G., 1995. "Grey integer programming: An application to waste management planning under uncertainty," European Journal of Operational Research, Elsevier, vol. 83(3), pages 594-620, June.
    15. Michel, David, 2009. "Foxes, hedgehogs, and greenhouse governance: Knowledge, uncertainty, and international policy-making in a warming World," Applied Energy, Elsevier, vol. 86(2), pages 258-264, February.
    16. Carraro, Carlo & Siniscalco, Domenico, 1993. "Strategies for the international protection of the environment," Journal of Public Economics, Elsevier, vol. 52(3), pages 309-328, October.
    17. Nordhaus, William D., 1993. "Rolling the 'DICE': an optimal transition path for controlling greenhouse gases," Resource and Energy Economics, Elsevier, vol. 15(1), pages 27-50, March.
    18. Weigt, Hannes, 2009. "Germany's wind energy: The potential for fossil capacity replacement and cost saving," Applied Energy, Elsevier, vol. 86(10), pages 1857-1863, October.
    19. Birge, John R. & Louveaux, Francois V., 1988. "A multicut algorithm for two-stage stochastic linear programs," European Journal of Operational Research, Elsevier, vol. 34(3), pages 384-392, March.
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