In Progress
consultancy

Grid modelling to assess electrofuels supply potential

September 1, 2024

Evaluating the impact of electrofuels adoption in the US on the electricity grid

Grid modelling to assess electrofuels supply potential

Electrofuels have the potential to significantly reduce greenhouse gas emissions compared to petroleum, especially when produced using low-carbon, grid-connected renewable electricity. As the transport sector seeks to decarbonize, these alternative fuels present a promising solution. Despite their potential, the production and integration of electrofuels into existing systems require a detailed understanding of renewable resource availability, cost, and electricity system dynamics. The interaction between electrofuels production and other sources of electricity demand is complex but crucial to optimizing their use.

This research project combines an assessment of renewable resource potential and cost with advanced capacity expansion modeling. It considers current grid resources, evolving electricity system needs, and interactions between electrofuel production and other electricity demands, to provide a comprehensive analysis of their role in decarbonizing the transport sector. The findings from this research will offer valuable insights into how electrofuels can be efficiently integrated into the energy system, helping policymakers and industry leaders make informed decisions about their role in achieving transport sector decarbonization. This will contribute to shaping sustainable energy strategies and support global efforts to reduce carbon emissions in transportation.

Project Aims

Assessment of the impact of a demand shock for e-kerosene based on a mandated blending rate in the U.S. aviation sector on the electricity grid.
Evaluation of the cost of e-kerosene under different scenario assumptions.
Project Aims
Empty gas station
Gas station pump handle

Project Team

Hazem Abdel-Khalek

Dr. Hazem Abdel-Khalek

Head of Modeling Tools & Data, Co-Founder

Yerbol Akhmetov

Yerbol Akhmetov

Energy System Modeler | Power-to-X

Emmanuel Bolarinwa

Emmanuel Bolarinwa

AI Engineer | Power-to-X

Daniele Lerede

Dr. Daniele Lerede

Senior Energy System Modeler | Power-to-X


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