European Energy System Model Results for 95% CO2 Reduction Scenarios

Jointly optimised energy system model networks aim to minimise total system costs under a 95% CO2 emissions reduction constraint compared to 1990 levels. The dataset, authored by Martha Frysztacki of Karlsruhe Institute of Technology, varies spatial resolution and transmission line expansion volumes to research their impact on the optimisation process. Results indicate transmission network bottlenecks can raise system costs by up to 19%, while higher resource availability mitigates the increase by only 6.5%.

Use Cases

• Analyzing the cost impact of transmission bottlenecks based on the described 19% potential cost increase.
• Comparing technology investment compositions based on the described strong differences resulting from resolution and resource availability.
• Evaluating the effect of spatial clustering on generation sites and the transmission network based on the described multi-scale resolution variations.
• Assessing the role of resource availability (capacity factors) versus network constraints based on the described 6.5% mitigation effect.

Strengths

• Based on a specific, quantified objective: a 95% reduction in CO2 emissions compared to 1990 levels.
• Quantifies key findings, such as a 19% potential cost increase from bottlenecks and a 6.5% mitigation from resource availability.
• Explicitly models multiple variables, including seven different transmission line expansion volumes and varying spatial resolutions.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Karlsruhe Institute of Technology, author Martha Frysztacki.

Collection Method

Results from jointly optimised energy system model networks using a greenfield approach.

Time Range

Reference year for emissions is 1990.

Geography

Focuses on the current European transmission system.