{"title":"钠离子电池的学习速度有多快?评估与锂离子电池相比的技术经济竞争力方案","authors":"Adrian Yao, Sally M. Benson, William C. Chueh","doi":"arxiv-2403.13759","DOIUrl":null,"url":null,"abstract":"Sodium-ion (Na-ion) batteries have garnered significant attention as a\npotentially low-cost alternative to lithium-ion (Li-ion) batteries, which have\nexperienced challenges in supply availability and volatility in pricing of key\nminerals. Here we assess their techno-economic competitiveness against\nincumbent lithium-ion batteries using a modeling framework incorporating\ncomponential learning curves constrained by minerals prices and engineering\ndesign floors. We compare projected Na-ion and Li-ion price trends across over\n5,400 scenarios while varying Na-ion technology development roadmaps, supply\nchain scenarios, market penetration, and learning rates. We show that Na-ion\nstruggles to be price advantageous against low-cost lithium-ion variants in the\nnear term and are competitive primarily when the Li-ion supply chain is\ndisrupted. Modeled outcomes suggest maximizing Na-ion energy densities via\ncost-centric development roadmaps to be the most impactful way to improve\ncompetitiveness (over that of market intervention) and highlights the value of\nenhanced supply chain security.","PeriodicalId":501304,"journal":{"name":"arXiv - PHYS - Chemical Physics","volume":"120 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How quickly can sodium-ion learn? Assessing scenarios for techno-economic competitiveness against lithium-ion batteries\",\"authors\":\"Adrian Yao, Sally M. Benson, William C. Chueh\",\"doi\":\"arxiv-2403.13759\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sodium-ion (Na-ion) batteries have garnered significant attention as a\\npotentially low-cost alternative to lithium-ion (Li-ion) batteries, which have\\nexperienced challenges in supply availability and volatility in pricing of key\\nminerals. Here we assess their techno-economic competitiveness against\\nincumbent lithium-ion batteries using a modeling framework incorporating\\ncomponential learning curves constrained by minerals prices and engineering\\ndesign floors. We compare projected Na-ion and Li-ion price trends across over\\n5,400 scenarios while varying Na-ion technology development roadmaps, supply\\nchain scenarios, market penetration, and learning rates. We show that Na-ion\\nstruggles to be price advantageous against low-cost lithium-ion variants in the\\nnear term and are competitive primarily when the Li-ion supply chain is\\ndisrupted. Modeled outcomes suggest maximizing Na-ion energy densities via\\ncost-centric development roadmaps to be the most impactful way to improve\\ncompetitiveness (over that of market intervention) and highlights the value of\\nenhanced supply chain security.\",\"PeriodicalId\":501304,\"journal\":{\"name\":\"arXiv - PHYS - Chemical Physics\",\"volume\":\"120 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Chemical Physics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2403.13759\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Chemical Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2403.13759","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
How quickly can sodium-ion learn? Assessing scenarios for techno-economic competitiveness against lithium-ion batteries
Sodium-ion (Na-ion) batteries have garnered significant attention as a
potentially low-cost alternative to lithium-ion (Li-ion) batteries, which have
experienced challenges in supply availability and volatility in pricing 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 Na-ion and Li-ion price trends across over
5,400 scenarios while varying Na-ion technology development roadmaps, supply
chain scenarios, market penetration, and learning rates. We show that Na-ion
struggles to be price advantageous against low-cost lithium-ion variants in the
near term and are competitive primarily when the Li-ion supply chain is
disrupted. Modeled outcomes suggest maximizing Na-ion energy densities via
cost-centric development roadmaps to be the most impactful way to improve
competitiveness (over that of market intervention) and highlights the value of
enhanced supply chain security.