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A global electricity transmission database for energy system modelling
Maarten Brinkerink1, Gordon Sherman1, Simone Osei-Owusu2
1Dartmouth College, Thayer School of Engineering, Hanover, NH, USA.
Data in Brief
|May 3, 2024
Summary
Researchers created the Global Transmission Database, a new dataset of electricity transmission infrastructure. This resource aids energy system modeling for global energy transition pathways.
Area of Science:
- Energy Systems Analysis
- Computational Sustainability
- Infrastructure Modeling
Background:
- Energy system models are crucial for understanding energy transition pathways.
- Data accessibility for existing and planned energy infrastructure is a significant barrier.
- Global energy system modeling requires comprehensive transmission infrastructure data.
Purpose of the Study:
- To introduce the Global Transmission Database, a novel global dataset of electricity transmission infrastructure.
- To provide a foundational dataset for representing cross-regional electricity grids in energy system models.
- To overcome data accessibility challenges in energy system modeling.
Main Methods:
- Compilation of data from publicly available sources.
- Focus on existing and planned electricity transmission developments.
- Integration into a single, machine-readable format.
Main Results:
- The first global dataset detailing cross-border and regional electricity transmission infrastructure.
- A readily applicable dataset for energy system models and computational tools.
- Facilitation of more accurate global energy system scenario analysis.
Conclusions:
- The Global Transmission Database addresses a critical data gap for global energy system modeling.
- This dataset enables enhanced representation of international electricity grids.
- It serves as a vital resource for research on global energy transitions.
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