可再生能源
储能
工艺工程
混合动力系统
灵活性(工程)
抽蓄发电
汽车工程
计算机科学
环境科学
混合动力
按来源划分的电力成本
压缩空气储能
计算机数据存储
分布式发电
工程类
热能储存
可靠性工程
废物管理
氢气储存
发电站
能量载体
一次能源
电力系统
能源
电网储能
发电
能量回收
作者
Ali Khosravani,Blake W. Billings,Kody M. Powell
标识
DOI:10.1016/j.renene.2025.124710
摘要
As the energy sector strives for decarbonization, long-duration storage solutions are emerging as enablers of high-renewable power systems. This study investigates hybrid energy storage, combining Li-ion batteries, pumped hydro storage, and underground hydrogen storage, as an effective approach to enhance the reliability and economics of high-renewable power systems, supporting deep decarbonization goals. To facilitate techno-economic evaluation, we developed an open-access Python module capable of simulating renewable energy systems across different renewable penetration levels, ensuring flexibility and reproducibility for future research. Results indicate that optimal renewable penetration significantly increases from a baseline of 31% to 39% with compressed air, 49% with hydrogen, 53% with pumped hydro, and 56% with hybrid storage. Compared to a baseline battery-only scenario, the hybrid approach reduces the required renewable capacity by 61% and lowers the levelized cost of storage by 81%. Additionally, relative to standalone storage technologies, hybrid storage reduces capacities needed for electrolyzers by 46.3%, fuel cells by 79.7%, batteries by 96.4%, powerhouses by 39.7%, underground caverns by 50.6%, and upper reservoirs by 69%. The results demonstrate that hybrid energy storage significantly improves both technical feasibility and economic viability, establishing it as a superior long-duration energy storage solution for facilitating renewable energy integration.
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