储能
工艺工程
分布式发电
热能储存
计算机科学
可再生能源
固体氧化物燃料电池
材料科学
发电
环境科学
光伏系统
化学
环境经济学
高效能源利用
能量转换效率
能量(信号处理)
汽车工程
工程类
热力学
经济
电气工程
功率(物理)
物理化学
物理
阳极
电极
作者
Christopher H. Wendel,Robert J. Braun
出处
期刊:Applied Energy
[Elsevier BV]
日期:2016-06-01
卷期号:172: 118-131
被引量:62
标识
DOI:10.1016/j.apenergy.2016.03.054
摘要
Reversible solid oxide cell (ReSOC) systems are conceptualized and analyzed to assess technical performance in distributed energy storage applications (100 kW/800 kWh). The ReSOC systems operate sequentially between fuel-producing electrolysis and power-producing fuel-cell modes with intermediate tanking of reactants and products. Maintaining the high conversion efficiencies seen in laboratory-scale cell tests at the system-level requires careful system design to integrate storage and electrochemical conversion functions. By leveraging C–O–H reaction chemistry and operating at intermediate temperature, the ReSOC is mildly exothermic in both operating modes, which simplifies balance-of-plant integration and thermal management. System configurations explored herein range from a simple system with minimal balance-of-plant components to more complex systems including turbine expansion for increased electrical efficiency, and separating water for higher energy density storage. The efficiency, energy density, and capital cost tradeoffs of these configurations are quantified through computational modeling. Results indicate that a roundtrip efficiency of nearly 74% is achieved with relatively low tanked energy density (∼20 kWh/m3) for systems configured to store water-vapor containing gases. Separately storing condensed water increases energy density of storage, but limits efficiency to 68% based on the energetic cost of evaporating reactant water during electrolysis operation. Further increases in energy density (to 90 kWh/m3) require higher storage pressures (e.g., 50-bar nominal) which lower roundtrip efficiency to about 65%. Cost of energy storage is strongly influenced by stack power and system energy densities because the storage tanks and stack comprise a majority of the system capital cost.
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