Renewable levelized cost of energy available for export: An indicator for exploring global renewable energy trade potential
Xiaoming Kan, Lina Reichenberg, Fredrik Hedenus, David Daniels

TL;DR
This paper introduces new metrics to evaluate the potential for global renewable energy trade by assessing regional resource availability, costs, and demand, aiding in identifying key importers and exporters.
Contribution
It presents two novel metrics, RLCOE_Ex and PEEV, for assessing renewable energy export potential without energy system modeling, applied to 165 countries.
Findings
Identifies major renewable energy exporters like the US and China.
Highlights countries with high import potential such as South Korea and Japan.
Validates metrics through comprehensive energy system models.
Abstract
Renewable energy resources are widely available, yet they are unevenly distributed globally. In a renewable future, countries lacking high-quality renewable resources may choose to import energy from other countries. To assess the resource-dependent and techno-economic basis for global renewable energy trade and identify potential importers and exporters, this study introduces two new metrics: Renewable Levelized Cost of Energy available for Export (RLCOE_Ex) and Potential Energy Export Volume (PEEV). These metrics are computed based on regional resource potential, domestic energy demand and varying financial costs across countries, without the need for any energy system modeling. By applying these two metrics to 165 countries/regions, we identify countries with significant potential for exporting renewable energy (e.g., the US, China) and those that lack the domestic resources to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIntegrated Energy Systems Optimization · Environmental Impact and Sustainability · Global Energy and Sustainability Research
