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Indirect CO2 Emission Implications of Energy System Pathways: Linking IO and TIMES Models for the UK

pmid: 26053304
Radical changes to current national energy systems-including energy efficiency and the decarbonization of electricity-will be required in order to meet challenging carbon emission reduction commitments. Technology explicit energy system optimization models (ESOMs) are widely used to define and assess such low-carbon pathways, but these models only account for the emissions associated with energy combustion and either do not account for or do not correctly allocate emissions arising from infrastructure, manufacturing, construction and transport associated with energy technologies and fuels. This paper addresses this shortcoming, through a hybrid approach that estimates the upstream CO2 emissions across current and future energy technologies for the UK using a multiregional environmentally extended input-output model, and explicitly models the direct and indirect CO2 emissions of energy supply and infrastructure technologies within a national ESOM (the UK TIMES model). Results indicate the large significance of nondomestic indirect emissions, particularly coming from fossil fuel imports, and finds that the marginal abatement cost of mitigating all emissions associated with UK energy supply is roughly double that of mitigating only direct emissions in 2050.
- University of Salford United Kingdom
- Energy Institute United Kingdom
- University of Leeds
- Energy Institute United Kingdom
- University of Leeds United Kingdom
690, Air Pollutants, GHG., consumption emissions, Conservation of Energy Resources, Carbon Dioxide, Models, Theoretical, United Kingdom, modelling, Energy system, Air Pollution, Costs and Cost Analysis, GHG
690, Air Pollutants, GHG., consumption emissions, Conservation of Energy Resources, Carbon Dioxide, Models, Theoretical, United Kingdom, modelling, Energy system, Air Pollution, Costs and Cost Analysis, GHG
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).85 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
