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ID: 149889

Abundant low-cost natural gas and deep GHG emissions reductions for the United States / Healey, Stephen; Jaccard, Mark

Healey, Stephen	Journal Article
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Summary/Abstract

This paper analyzes the implications of the natural gas revolution on the US’ ability to achieve deep GHG emissions reductions of 80% below 2005 levels by 2050. It uses a hybrid energy-economy model to test how prevailing low US natural gas prices influence the magnitude of the required carbon price needed to achieve this target. While the paper finds in general that lower gas prices resulting from plentiful gas necessitate a higher carbon price to achieve this target, informing firms and consumers in advance about the magnitude of the future carbon price can lower the necessary level.

Key Words

Natural Gas ; Climate Policy ; Shale Gas ; Hybrid Model ; Bridge Fuel

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ID: 105751

Introducing technology learning for energy technologies in a na / Martinsen, Thomas

Martinsen, Thomas	Journal Article
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2011.

Summary/Abstract

This paper describes a method to model the influence by global policy scenarios, particularly spillover of technology learning, on the energy service demand of the non-energy sectors of the national economy. It is exemplified by Norway. Spillover is obtained from the technology-rich global Energy Technology Perspective model operated by the International Energy Agency. It is provided to a national hybrid model where a national bottom-up Markal model carries forward spillover into a national top-down CGE1 model at a disaggregated demand category level. Spillover of technology learning from the global energy technology market will reduce national generation costs of energy carriers. This may in turn increase demand in the non-energy sectors of the economy because of the rebound effect. The influence of spillover on the Norwegian economy is most pronounced for the production level of industrial chemicals and for the demand for electricity for residential energy services. The influence is modest, however, because all existing electricity generating capacity is hydroelectric and thus compatible with the low emission policy scenario. In countries where most of the existing generating capacity must be replaced by nascent energy technologies or carbon captured and storage the influence on demand is expected to be more significant.

Key Words

Technology Learning ; Energy Model ; Soft-linking ; Hybrid Model

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