基于场分析和神经网络的钒氧化还原电池建模

Xin Qiu, T. Nguyen, M. Crow, A. Elmore
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引用次数: 2

摘要

钒氧化还原液流电池非常适合于可再生能源的应用。本文从实际应用的角度研究了VRB在微电网系统中的应用。介绍了VRB的降阶电路模型。收集了实验现场数据,估算了VRB系统的关键参数。提出了预测主要寄生损失的方法。损耗模型包括循环泵和调节VRB外壳环境的HVAC系统。暖通空调系统可以吸收大量的VRB功率,大大影响其整体效率,但这通常被其他理论模型所忽略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling of vanadium redox battery by field analysis and neural network approach
The vanadium redox flow battery is well-suited for renewable energy applications. This paper studies VRB use within a microgrid system from a practical perspective. A reduced order circuit model of the VRB was introduced. Experimental field data are collected to estimate the key parameters of the VRB system. Methods of predicting major parasitic losses are proposed. Loss models include the circulation pumps and the HVAC system that regulates the environment of the VRB enclosure. The HVAC system can draw a significant amount of the VRB power considerably impacting its overall efficiency, but this is usually ignored by other theoretical models.
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