微电网
按来源划分的电力成本
储能
可再生能源
光伏系统
工艺工程
固体氧化物燃料电池
汽车工程
热能储存
投资回收期
能源管理
分布式发电
发电
计算机科学
环境科学
电气工程
工程类
功率(物理)
能量(信号处理)
生产(经济)
化学
阳极
物理
数学
物理化学
宏观经济学
生态学
生物
量子力学
统计
电极
经济
作者
M. Califano,Marco Sorrentino,Marc A. Rosen,Cesare Pianese
出处
期刊:Applied Energy
[Elsevier]
日期:2022-05-17
卷期号:319: 119268-119268
被引量:21
标识
DOI:10.1016/j.apenergy.2022.119268
摘要
This paper proposes and examines a highly integrated microgrid based on a reversible solid oxide cell, aimed at satisfying electrical and thermal loads of a 20-unit residential complex as well as the demands of electric and fuel cell vehicles. Such a system has been conceived as a profitable ready-made solution to be embedded into existing plants already equipped with renewable energy sources (i.e., wind farm and photovoltaic panels) by means of a reversible solid oxide cell and energy storage technologies. A dynamic programming-based routine has been suitably implemented as an algorithm for both the electrical and thermal sides of the plant for managing the power split indices. In addition, an external routine has been deployed to consider economic aspects; in particular, attention has been paid to the levelized cost of energy, allowing for comparisons with current reliable energy generation technologies. The analyses involve parametric assessments of multiple reversible solid oxide cell sizes and economic discount rates while fixing the lifetime of the plant at 30 years. In accordance with the results of the optimal microgrid design, by exploiting 100% of the rSOC working time (shared by mode as 40% fuel cell and 60% electrolyzer) a simple payback period of 5.97 years is achieved along with a levelized cost of energy index value in the 0.1 €/kWh-0.2 €/kWh range.
科研通智能强力驱动
Strongly Powered by AbleSci AI