关于使用分布式电池储能减少微电网碳足迹的数据。
Data on reducing carbon footprint in microgrids using distributed battery energy storage.
作者信息
Khazaei Javad, Schlauderaff Colton
机构信息
Pennsylvania State University, United States.
Penn State Harrisburg, United States.
出版信息
Data Brief. 2019 Oct 19;27:104679. doi: 10.1016/j.dib.2019.104679. eCollection 2019 Dec.
This data presented in this article was collected using simulations on a microgrid system to analyze reduction of carbon footprints using distributed battery storage devices. Analysis was performed over a 24-h period of operation of the microgrid system to reduce the CO emissions from 0% to 100% using battery storage devices. The data can be used in designing efficient microgrid systems, understanding the potential of battery energy storage devices in future electricity generation, and sizing the microgrid systems depending of the CO reduction goals in power systems.
本文中呈现的数据是通过对微电网系统进行模拟收集的，以分析使用分布式电池存储设备减少碳足迹的情况。在微电网系统运行的24小时期间进行了分析，以使用电池存储设备将一氧化碳排放量从0%减少到100%。这些数据可用于设计高效的微电网系统，了解电池储能设备在未来发电中的潜力，以及根据电力系统中的一氧化碳减排目标确定微电网系统的规模。
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