Regionalized Global Energy Scenarios Meeting Stringent Climate Targets - cost effective fuel choices in the transportation sector
Conference contribution, 2003

The aim of this study is to analyze the world's future energy supply, in general, and cost-effective fuel choices in the transportation sector, in particular, under stringent CO2 abatement targets. The analysis is carried out with the help of a global energy systems model GET-R 1.0, developed specifically for this project. It is a linear programming model and it has three end-use sectors: electricity, heat and transportation fuel. It is set up to generate the energy supply mix that would meet exogenously given energy demands at the lowest global energy system cost. We have chosen an upper limit on CO2 emissions corresponding to an atmospheric CO2 concentration target of 400 ppm, by the year 2100. We find that it is cost-effective to carry out the transition from gasoline/diesel in the middle of the century and that hydrogen becomes the most cost-efficient fuel in the long run. Within the electricity production sector all renewable energy sources show a pattern of increasing contributions during the century and solar produced hydrogen will dominate by year 2100. Biomass is the dominant fuel in the heat sector. Scenarios are also presented which show the effects of different way of regionalizing the model. Here significant changes may occur, in particular when it comes to the where solar hydrogen is being produced. Further, we compare our results with those generated using a globally aggregated version of the model. We find that the regionalization only marginally affects the general pattern.

hydrogen

Energy scenarios

CO2 reduction

biofuels

global energy system

climate targets

Author

Maria Grahn

Chalmers, Department of Physical Resource Theory

Christian Azar

Chalmers, Department of Physical Resource Theory

Kristian Lindgren

Chalmers, Department of Physical Resource Theory

Risö international energy conference in Denmark, 19-21 May 2003

Subject Categories

Computational Mathematics

Other Physics Topics

Other Social Sciences not elsewhere specified

More information

Created

10/8/2017