English

How quickly can sodium-ion learn? Assessing scenarios for techno-economic competitiveness against lithium-ion batteries

Chemical Physics 2024-12-16 v4 Materials Science

Abstract

Sodium-ion batteries have garnered significant attention as a potentially low-cost alternative to lithium-ion batteries, which have experienced supply shortages and pricing volatility of key minerals. Here we assess their techno-economic competitiveness against incumbent lithium-ion batteries using a modeling framework incorporating componential learning curves constrained by minerals prices and engineering design floors. We compare projected sodium-ion and lithium-ion price trends across over 6,000 scenarios while varying Na-ion technology development roadmaps, supply chain scenarios, market penetration, and learning rates. Assuming substantial progress can be made along technology roadmaps via targeted R&D, we identify many sodium-ion pathways that might reach cost-competitiveness with low-cost lithium-ion variants in the early 2030s. Additionally, we show timelines are highly sensitive to movements in critical minerals supply chains -- namely that of lithium, graphite, and nickel. Modeled outcomes suggest increasing sodium-ion energy densities to decrease materials intensity to be among the most impactful ways to improve competitiveness.

Keywords

Cite

@article{arxiv.2403.13759,
  title  = {How quickly can sodium-ion learn? Assessing scenarios for techno-economic competitiveness against lithium-ion batteries},
  author = {Adrian Yao and Sally M. Benson and William C. Chueh},
  journal= {arXiv preprint arXiv:2403.13759},
  year   = {2024}
}

Comments

93 pages, 67 figures, 4 tables