Advertisement

Methodology for Exploring Co-benefits of CO2 and SO2 Mitigation Policies in India using AIM/Enduse model

  • Rahul Pandey
  • Priyadarshi R. Shukla

Abstract

This study illustrates a methodology to explore co-benefits of CO2 and SO2 mitigation objectives, along with initial results for India, using AIM/Enduse model. It is assumed for India that use of low-sulfur fuels in transport sector, rapid penetration of sulfur removal technologies in power sector and large industry boilers will enable early decoupling of the two emissions under the business-as-usual scenario. Two additional sets of scenarios – one for carbon taxes and the other for corresponding SO2 constraints – were set up to analyze co-benefits. Initial results suggest that under the application of carbon tax there is a strong overlap among the economic options for reduction of CO2 and SO2 emissions over the business-as-usual level. However, under pure SO2 mitigation targets over business-as-usual, the economic options for SO2 mitigation and CO2 mitigation are likely to get decoupled. AIM/Enduse, being rich in representation of technological processes, is an effective vehicle to analyze these effects.

Keywords

Mitigation Policy Power Sector Emission Mitigation Economic Option Primary Energy Supply 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Berger C, Haurie A, Loulou R (1987) Modelling long range energy technology choices: the MARKAL approach. Technical paper, GERAD, MontrealGoogle Scholar
  2. Edmonds J, Wise M, Pitcher H, Wigley T, MacCracken CN (1996) An integrated assessment of climate change and the accelerated introduction of advanced energy technologies. Pacific Northwest National Laboratory, Washington, D.C.Google Scholar
  3. Finon D (1974) Optimization model for the French energy sector. Energy Policy 2(2): 136–151CrossRefGoogle Scholar
  4. Fishbone LG, Abilock H (1981) MARKAL, a linear programming model for energy systems analysis: technical description of the BNL version. International Journal of Energy Research 5: 353–375CrossRefGoogle Scholar
  5. Garg A, Shukla PR (2002) Emissions inventory of India. Tata McGraw-Hill Publishing Company Limited, New DelhiGoogle Scholar
  6. Hourcade JC (1993) Modelling long-run scenarios: Methodology lessons from a prospective study on a low CO2 intensive country. Energy Policy 21(3): 309–326Google Scholar
  7. IPCC (2001) Climate change 2001: mitigation. Contribution of Working Group III to the third assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, CambridgeGoogle Scholar
  8. Kainuma M, Matsuoka Y, Morita T (2000) The AIM/End-use model and its application to forecast Japanese carbon emissions. European Journal of Operational Research 122: 416–425CrossRefGoogle Scholar
  9. Kainuma M, Matsuoka Y, Morita T, Hibino G (1999) Development of an end-use model for analysing policy options to reduce greenhouse gas emissions. IEEE Transactions on Systems, Man, and Cybernetics — Part C: Applications and Reviews 29(3): 317–324CrossRefGoogle Scholar
  10. Kainuma M, Matsuoka Y, Morita T (1998) Analysis of post-Kyoto scenarios: The AIM model. In: Economic modeling climate change: OECD workshop report. Organization for Economic Development and Cooperation, ParisGoogle Scholar
  11. Morita T, Kainuma M, Harasawa H, Kai K (1996) A guide to the AIM/Enduse model–technology selection program with linear programming. AIM Interim Paper, National Institute for Environmental Studies, TsukubaGoogle Scholar
  12. Pandey R (2002) Energy policy modeling: agenda for developing countries. Energy Policy 30(2): 97–106CrossRefGoogle Scholar
  13. Patterson W (1999) Transforming electricity. Brookings Press, UKGoogle Scholar
  14. Sengupta B (2001) Vehicular pollution control in India: technical and non-technical policy measures. Presented at Regional workshop on transport sector inspection and maintenance policy in Asia. ESCAP/UN, Bangkok, Dec 10-12Google Scholar
  15. Zhang Z, Folmer H (1998) Economic modelling approaches to cost estimates for the control of carbon dioxide emissions. Energy Economics 20(1): 101–120CrossRefGoogle Scholar

Copyright information

© Springer Japan 2003

Authors and Affiliations

  • Rahul Pandey
    • 1
    • 2
  • Priyadarshi R. Shukla
    • 3
  1. 1.National Institute for Environmental StudiesTsukubaJapan
  2. 2.Indian Institute of ManagementLucknowIndia
  3. 3.Indian Institute of ManagementAhmedabadIndia

Personalised recommendations