环境经济学
资本成本
软件部署
可再生能源
储能
碳捕获和储存(时间表)
生产(经济)
时间轴
按来源划分的电力成本
电
产业组织
业务
经济
发电
计算机科学
微观经济学
工程类
电气工程
功率(物理)
气候变化
物理
操作系统
历史
考古
生物
量子力学
生态学
作者
Oliver Schmidt,Adam Hawkes,Ajay Gambhir,Iain Staffell
出处
期刊:Nature Energy
[Springer Nature]
日期:2017-07-10
卷期号:2 (8)
被引量:905
标识
DOI:10.1038/nenergy.2017.110
摘要
Electrical energy storage could play a pivotal role in future low-carbon electricity systems, balancing inflexible or intermittent supply with demand. Cost projections are important for understanding this role, but data are scarce and uncertain. Here, we construct experience curves to project future prices for 11 electrical energy storage technologies. We find that, regardless of technology, capital costs are on a trajectory towards US$340 ± 60 kWh−1 for installed stationary systems and US$175 ± 25 kWh−1 for battery packs once 1 TWh of capacity is installed for each technology. Bottom-up assessment of material and production costs indicates this price range is not infeasible. Cumulative investments of US$175–510 billion would be needed for any technology to reach 1 TWh deployment, which could be achieved by 2027–2040 based on market growth projections. Finally, we explore how the derived rates of future cost reduction influence when storage becomes economically competitive in transport and residential applications. Thus, our experience-curve data set removes a barrier for further study by industry, policymakers and academics. Electrical energy storage is expected to be important for decarbonizing personal transport and enabling highly renewable electricity systems. This study analyses data on 11 storage technologies, constructing experience curves to project future prices, and explores feasible timelines for their economic competitiveness.
科研通智能强力驱动
Strongly Powered by AbleSci AI