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

Applied Energy

Volumn 87, Issue 3, 2010, Pages 1033-1047

  Chen, W T ^a   Li, Y P ^b   Huang, G H ^c   Chen, X ^d   Li, Y F ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b PEKING UNIVERSITY   (China)

^c UNIVERSITY OF REGINA   (Canada)

^d XINJIANG INSTITUTE OF ECOLOGY AND GEOGRAPHY   (China)

Author keywords

Carbon dioxide; Energy; Interval programming; Stochastic; Trading; Two stage; Uncertainty

Indexed keywords

CARBON DIOXIDE; COMMERCE; DECISION MAKING; GLOBAL WARMING; GREENHOUSE GASES; PROBABILITY DISTRIBUTIONS; STOCHASTIC PROGRAMMING; STOCHASTIC SYSTEMS;

ENERGY; INTERVAL PROGRAMMING; STOCHASTIC; TRADING; UNCERTAINTY;

STOCHASTIC MODELS;

CARBON DIOXIDE; CARBON EMISSION; DECISION MAKING; GREENHOUSE GAS; OPTIMIZATION; STOCHASTICITY; UNCERTAINTY ANALYSIS;

EID: 71849108978     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2009.09.016     Document Type: Article

References (64)

1. Liu Z.F., Huang G.H., and Li N. A dynamic optimization approach for power generation planning under uncertainty. Energy Sources 30 (2008) 1413-1431
2. Huang G.H., Cohen S.J., Yin Y.Y., and Bass B. Incorporation of inexact dynamic optimization with fuzzy relation analysis for integrated climate change impact study. J Environ Manage 48 (1996) 45-68
3. Luo B., Maqsood I., Yin Y.Y., Huang G.H., and Cohen S.J. Adaption to climate change through water trading under uncertainty-an inexact two-stage nonlinear programming approach. J Environ Inform 2 2 (2003) 58-68
4. Yin Y.Y. Methods to link climate impacts and regional sustainability. J Environ Inform 2 (2003) 1-10
5. 2 emission quota in power generation sector. MA Thesis, University of Regina; 2006.
6. Chen B. Climate change and pesticide loss in watershed systems: a simulation modeling study. J Environ Inform 10 (2007) 55-67
7. Huang G.H., and Qin X.S. Editorial: climate change and sustainable energy development. Energy Sources 30 (2008) 1281-1285
8. Qin X.S., Huang G.H., Chakma A., Nie X.H., and Lin Q.G. A MCDM-based expert system for climate-change impact assessment and adaptation planning-a case study for the Georgia Basin, Canada. Expert Systems Appl 34 (2008) 2164-2179
9. Roughgarden T., and Schneider S.H. Climate change policy: quantifying uncertainties for damages and optimal carbon taxes. Energy Policy 27 (1999) 415-429
10. Tampier M. Promoting green power in Canada (2002), Pollution Probe Organization, Toronto (ON, Canada)
11. CBC. Renewable energy in Canada (2003), The Conference Board of Canada, Ottawa (ON, Canada)
12. Nasiri F., and Huang G. Integrated capacity planning for electricity generation: a fuzzy environmental policy analysis approach. Energy Sources 3 (2008) 259-279
13. 2 capture and storage technology roadmap. Clean Energy Technologies. Natural Resources Canada; 2006.
14. Copeland B.R., and Taylor M.S. Free trade and global warming: a trade theory view of the Kyoto Protocol, NBER Working Paper 7657 (2000), National Bureau of Economic Research, Washington (DC)
15. Kemfert C., Lise W., and Tol R.S.J. Games of climate change with international trade. Environ Resour Econ 28 (2004) 209-232
16. Nahorski Z., and Horabik J. Greenhouse gas emission permit trading with different uncertainties in emission sources. J Energy Eng 134 2 (2008) 47-52
17. Carraro C., and Siniscalco D. Strategies for the international protection of the environment. J Public Econ 52 (1993) 309-328
18. Barrett S. Self-enforcing international environmental agreements. Oxford Econ Pap 46 (1994) 878-894
19. Chander P., and Tulkens H. A core-theoretical solution for the design of cooperative agreements on trans-frontier pollution. Int Tax Public Finance 2 (1995) 279-294
20. Nordhaus W.D., and Yang Z. RICE: a regional dynamic general equilibrium model of alternative climate change strategies. The Am Econ Rev 86 (1996) 726-741
21. 2 concentration limits, the costs and benefits of control and the potential for international agreements. In: Carraro C. (Ed). International environmental agreements on climate change (1999), Kluwer Academic Publishers, Dordrecht
22. Ciscar J.C., and Soria A. Prospective analysis of beyond Kyoto climate policy: a sequential game framework. Energy Policy 30 (2002) 1327-1335
23. Forgó F., Fülöp J., and Prill M. Game theoretic models for climate change negotiations. Eur J Oper Res 160 (2005) 252-267
24. Teller A. The use of linear programming to estimate the cost of some alternatives air pollution abatement policies. Number 20 in IBM; 1968. p. 345-53.
25. Singpurwalla ND. Models in air pollution. Chapter 3 in Gass and Sisson; 1975. p. 66-102.
26. Hailth A.D. Environmental systems optimization (1982), Wiley, New York
27. Guldmann J.M. Interactions between weather stochasticity and the locations of pollution sources and receptors in air quality planning: a chance-constrained approach. Geogr Anal 18 3 (1986) 198-214
28. Flagan R.C., and Seinfeld J.H. Fundamentals of air pollution engineering (1988), Prentice-Hall, Englewood Cliffs (NJ)
29. Li Y.P., Huang G.H., Nie X.H., and Nie S.L. An inexact fuzzy-robust two-stage programming model for managing sulfur dioxide abatement under uncertainty. Environ Model Assess 13 (2008) 77-91
30. Nie X.H., Huang G.H., Li Y.P., and Liu L. IFRP: a hybrid interval-parameter fuzzy robust programming approach for waste management planning under uncertainty. J Environ Manage 84 (2007) 1-11
31. Huang G.H., Baetz B.W., and Patry G.G. A grey linear programming approach for municipal solid waste management planning under uncertainty. Civil Eng Syst 9 (1992) 319-335
32. Huang G.H., Sae-Lim N., Liu L., and Chen Z. An interval-parameter fuzzy-stochastic programming approach for municipal solid waste management and planning. Environ Model Assess 6 (2001) 271-283
33. Nordhaus W. Rolling the DICE: an optimal transition path for controlling GHG's. Resour Energy Econ 15 (1993) 27-50
34. Manne A., Mendelsohn R., and Richels R. MERGE: a model for evaluating regional and global effects of GHG reduction policies. Energy Policy 23 1 (1995) 17-34
35. 2 control policy with stochastic losses from temperature rise. Clim Change 31 1 (1995) 19-34
36. Kanudia A., and Loulou R. Robust responses to climate change via stochastic MARKAL: the case of Quebec. Eur J Oper Res 106 (1998) 15-30
37. Maqsood I., and Huang G.H. A two-stage interval-stochastic programming model for waste management under uncertainty. J Air Waste Manag Assoc 53 (2003) 540-552
38. Li Y.P., and Huang G.H. An inexact two-stage mixed integer linear programming method for solid waste management in the City of Regina. J Environ Manage 81 (2006) 188-209
39. Huang G.H., and Loucks D.P. An inexact two-stage stochastic programming model for water resources management under uncertainty. Civil Eng Environ Syst 17 (2000) 95-118
40. Loucks D.P., Stedinger J.R., and Haith D.A. Water resource systems planning and analysis (1981), Prentice-Hall, Englewood Cliffs (NJ)
41. Birge J.R., and Louveaux F.V. A multicut algorithm for two-stage stochastic linear programs. Eur J Oper Res 34 (1988) 384-392
42. Birge J.R., and Louveaux F.V. Introduction to stochastic programming (1997), Springer, New York (NY)
43. Ruszczynski A. Parallel decomposition of multistage stochastic programming problems. Math Program 58 (1993) 201-228
44. Li Y.P., Huang G.H., Nie S.L., and Huang Y.F. IFTSIP: interval fuzzy two-stage stochastic mixed-integer linear programming: a case study for environmental management and planning. Civil Eng Environ Syst 23 2 (2006) 73-99
45. Li Y.P., Huang G.H., Nie S.L., and Liu L. Inexact multistage stochastic integer programming for water resources management under uncertainty. J Environ Manage 88 (2008) 93-107
46. Li Y.P., Huang G.H., Huang Y.F., and Zhou H.D. A multistage fuzzy-stochastic programming model for supporting sustainable water-resources allocation and management. Environ Model Softw 24 (2009) 786-797
47. Wagner H.M. Principles of operation research (1969), Prentice-Hall, Inc., Englewood Cliffs (NJ)
48. Luo B., Maqsood I., Huang G.H., Yin Y.Y., and Han D.J. An inexact fuzzy two-stage stochastic model for quantifying the efficiency of nonpoint source effluent trading under uncertainty. Sci Total Environ 347 (2005) 21-34
49. Guo P., Huang G.H., He L., and Cai Y.P. ICCSIP: an inexact chance-constrained semi-infinite programming approach for energy systems planning under uncertainty. Energy Sources 30 (2008) 1345-1366
50. Lin Q.G., and Huang G.H. IPEM: an interval-parameter energy systems planning model. Energy Sources 30 (2008) 1382-1399
51. DE and EPA. Carbon dioxide emissions from the generation of electric power in the United States. The US Department of Energy and the US Environmental Protection Agency; 2000.
52. Pei K.Y., Sun S.Z., and Huang L.K. Global warming and carbon dioxide mitigation. Energy Conserv Technol 23 3 (2005) 239-243
53. Hu Z.G. Power supply and demand index. Electric Power 40 7 (2007) 5-7
54. Langrock T, Sterk W, Bunse M. Linking CDM & JI with EU emission allowance trading. Institute European Environmental Policy 2004. .
55. van der Gaast W., Begg K., and Flamos A. Promoting sustainable energy technology transfers to developing countries through the CDM. Appl Energy 86 (2009) 230-236
56. Schroeder M. Utilizing the clean development mechanism for the deployment of renewable energies in China. Appl Energy 86 (2009) 237-242
57. Weigt H. Germany's wind energy: the potential for fossil capacity replacement and cost saving. Appl Energy 86 (2009) 1857-1863
58. Fahrner S. Governance on emissions trading. Governance for Sustainability 2006. .
59. Michel D. Foxes, hedgehogs, and greenhouse governance. knowledge, uncertainty, and international policy-making in a warming world. Appl Energy 86 (2009) 258-264
60. Li Y.P., Huang G.H., Veawab A., and Nie X.H. Two-stage fuzzy-stochastic robust programming: a hybrid model for regional air quality management. J Air Waste Manag Assoc 56 (2006) 1070-1082
61. Ahmed S. Strategic planning under uncertainty: stochastic integer programming approaches. PhD thesis, Urbana, IL: University of Illinois; 2000.
62. Huang Y.F., Baetz B.W., Huang G.H., and Liu L. Violation analysis for solid waste management systems: an interval fuzzy programming approach. J Environ Manage 65 (2002) 431-446
63. Wu S.M., Huang G.H., and Guo H.C. An interactive inexact-fuzzy approach for multiobjective planning of water resource systems. Water Sci Technol 36 5 (1997) 235-242
64. Huang G.H., Baetz B.W., and Patry G.G. Grey integer programming: an application to waste management planning under uncertainty. Eur J Oper Res 83 (1995) 594-620