This study examines model-specific assumptions and projections of methane (CH4) emissions in deep mitigation scenarios generated by integrated assessment models (IAMs). For this, scenarios of nine models are compared in terms of sectoral and regional CH4 emission reduction strategies, as well as resulting climate impacts. The models’ projected reduction potentials are compared to sector and technology-specific reduction potentials found in literature.
Research FellowOlivier is a research fellow in the Energy Systems and Macroeconomics program. Previously, he was an economist at the Organisation…Olivier is a research fellow in the Energy Systems and Macroeconomics program. Previously, he was an economist at the Organisation for Economic Co-operation and Development (OECD) and at the International Energy Agency (IEA) in Paris where his activities covered macroeconomic policy analysis and applied general equilibrium modeling. He contributed to various modeling studies on the assessment of the macroeconomic, environmental and distributional consequences of energy and environmental policies. He also worked on the land-water-energy nexus and on the economic consequences of air pollution. Before he joined the OECD, Olivier worked at ENGIE, in Paris, where he developed an in-house modeling framework for quantifying global long-term energy-economy scenarios. While completing his Ph.D., he was a research assistant at the Center for Operations Research and Econometrics (CORE) in Louvain-la-Neuve, Belgium.