Description of the global energy systems model GET-RC 6.1
Report, 2013

To provide a tool for decision makers to understand meeting global energy demand with global energy supply at a minimum cost and in a sustainable way, we have developed a global energy model (GET-RC 6.1) that includes a detailed description of passenger vehicle technology options. The model can be used to better understand the fuel and vehicle technology choices available for passenger vehicles and how these fit into the larger global energy system, where different energy sectors compete for the same limited primary energy sources. The original linear programming Global Energy Transition (GET) model is designed to meet exogenously given energy demand levels, subject to a CO2 constraint, at the lowest global energy system cost (all costs are in US$). The GET model is being developed and extended to address research questions related to the sustainable development of the global energy system. Several different versions of the GET model are available. The aim of this report is to describe the version used in collaboration between staff at Ford Motor Company and Chalmers University of Technology during the period 2008-2013. The model version used, GET-RC 6.1, was developed to address research questions related to light duty passenger vehicles, where R stands for regionalized and C for cars. The report contains a description of the settings that are defined in the model (i.e., the sets, parameters and variables), the equations used in the model, suggestion for how to implement the model step by step, and the mathematical description of the model.

Cost-minimizing

Carbon emissions

Energy scenarios

Sustainable mobility

Linear Programming

Author

Maria Grahn

Chalmers, Energy and Environment, Physical Resource Theory

Erica Klampfl

Margaret J. Whalen

Timothy J. Wallington

Kristian Lindgren

Chalmers, Energy and Environment, Physical Resource Theory

Driving Forces

Sustainable development

Areas of Advance

Transport

Energy

Subject Categories

Computational Mathematics

Energy Systems

Rapportserie för Avdelningen för fysisk resursteori

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Created

10/7/2017