Multi-gas Mitigation Analysis on Stabilization Scenarios Using Aim Global Model

Abstract

Non-CO2 gas (CH4, N2O and F gas) emissions account for 25percent of all greenhouse gas in the year of2000. Main sources of CH4 and N2O emissions are agriculture-related activities such as enteric fermentation, paddy rice cultivation, soil management. A recursive dynamic CGE (Computer General Equilibrium) model has been developed to analyze greenhouse gas reduction options including non-CO2 gas abatement technologies. Multi-regional, multisectoral and multi-gas CGE model and simple climate change model simulated long-term climate stabilization emission path. Preliminary results showed that multi gas mitigation options including CH4 and N2O abatement technologies will reduce GDP loss more than CO2 only mitigation options for long-term climate stabilization, even though CO2 mitigation options will reduce not only CO2 emissions but non-CO2 gas emissions simultaneously. It is necessary to collect regional non-CO2 gas data (emission, technology options, and so on) and conduct more sensitivity analysis with computer simulation model to reduce uncertainty of non-CO2 gas.

Keywords

Multi-gas mitigation AIM global model Climate stabilization

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References

Babiker

M.H.

Reilly

J.M.

Mayer

Eckaus

R.S.

Sue Wing

Hyman

R.C.

(2001). The MIT Emissions Prediction and Policy Analysis (EPPA) Model: Revisions, sensitivities, and Comparisons of Results. MIT Joint Program on the Science and Policy of Global Change, Report 71.

Brown

M.A.

Levine

M.D.

Romm

J.P.

Rosenfeld

A.H.

Koomey

J.G.

, (1998). Engineering-Economic Studies of Energy Technologies to Reduce Greenhouse Gas Emissions: Opportunities and Challenges. Annual Review of Energy, 287-385.

EMF; http://www.stanford.edu/group/EMF/home/index.htm.

Kainuma

Matsuoka

Morita

Masui

Takahashi

and K.

, (2003). “Cost Analysis of Mitigation Policies.” In Kainuma et al Climate Policy Assessment: Asia-Pacific Integrated Modeling. Springer-Verlag, Tokyo, Japan.

Hyman

R.C.

et al, (2002); Modeling Non-CO2 Greenhouse Gas Abatement, MIT Joint Program on the Science and Policy of Global Change, Report No. 94.

IPCC, (2001); Climate Change 2001: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Third Assessment Report of the Intergovernmental Panel on Climate Change (IPCC). Cambridge University press. Cambridge.

Y . Matsuoka, (2000); Extrapolation of carbon dioxide emission scenarios to meet long-term atmospheric stabilization targets, Environmental Economics and Policy Studies, 3-2 (2000), 255-265.

Nakicenovic

Alcamo

Davis

de Vries

H.J.M.

Fenhann

Gaffin

Gregory

Grubler

Jung

T.Y.

Kram

La Rovere

E.L.

Michaelis

Mori

Morita

Papper

Pitcher

Price

Riahi

Roehrl

Rogner

H-H.

Sankovski

Schlesinger

Shukla

Smith

Swart

Van Rooijen

Victor

Dadi

, (2000): Special Report on Emissions Scenarios. Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge.

Rutherford

T.F.

Paltsev

S. V.

. (2000); GTAPinGAMS and GTAP-EG: Global Datasets for Economic Research and Illustrative Models, Working Paper No. 00-2 .

10.

USEPA, (1999); U.S. Methane Emissions 1990-2020: Inventories, Projections, and Opportunities for Reductions, EPA, Washington, DC, September, 1999. (http://www.epa.gov/ghginfo)

11.

USEPA, (2001a); U.S. High GWP Gas Emissions 1990-2010: Inventories, Projections, and Opportunities for Reductions. June 2001.

12.

USEPA, (2001b); Non-CO2 Greenhouse Gas Emissions from Developed Countries: 1990-2010. EPA-430-R-01-007.

13.

USEPA, (2003); International Analysis of Methane and Nitrous Oxide Abatement Opportunities: Report to Energy Modeling Forum, Working Group 21, http://www.epa.gov/methane/intlanalyses.html.