Summary

The energy transition and the imperative to adapt infrastructures to a warming climate will drive unprecedented material flows through transmission grids. This paper develops a dynamic

Material Flow Analysis (MFA) model of the French overhead lines (OHL) network, coupling econometric modelling for historical reconstruction with a stochastic framework for uncertainty quantification.

Results highlight three strategic findings. First, the model reveals a gap between recent real consumption—shaped by a period of network stability and optimized asset management—and theoretical maintenance requirements. Depending on renewal policy, material demand could surge by up to 90% by 2040 relative to this theoretical baseline. A more probable scenario projects a 40% increase, though extended smoothing strategies could mitigate this peak, maintaining flows at a high but stable level. Second, circularity remains essential for decarbonization and supply security yet faces structural limits: recycling alone cannot bridge the volume gap created by grid expansion and conductor upsizing for climate adaptation, a challenge compounded by metallurgical and industrial-economic barriers. Third, dependence on low-volume process auxiliaries (e.g., magnesium, tungsten) creates supply chain vulnerabilities that warrant attention. This framework aims to quantify these physical and industrial risks to support proactive Transmission System Operators (TSOs) decision-making.

Additional informations

Publication type Session Materials
Reference C3_10895_2026
Publication year
Publisher CIGRE
Country France
Study committees
File size 879 KB
Price for non member 30 €
Price for member 30 €

Authors

DOUMENC Gaspard - RTE France; MATHY Sandrine - GAEL-CNRS; MARCADON Vincent - RTE France; LE BOULZEC Hugo - GAEL-CNRS; DURANTE Alvaro - RTE France

Keywords

Dynamic MFA, Power Transmission Grid, Circular Economy, Geo-economics, Uncertainty

Material Flow Analysis of Geo-Economic Tensions Affecting the Supply Chains of Low-Carbon Technologies: The Case of the Electric Grid