Modeling of Vanadium Redox Battery by Field Analysis and Neural Network Approach
Abstract
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.
Recommended Citation
X. Qiu et al., "Modeling of Vanadium Redox Battery by Field Analysis and Neural Network Approach," Proceedings of the IEEE Power and Energy Conference at Illinois (2014, Champaign, IL), IEEE Computer Society, Feb 2014.
The definitive version is available at https://doi.org/10.1109/PECI.2014.6804553
Meeting Name
IEEE Power and Energy Conference at Illinois (2014: Feb. 28 - Mar. 1, Champaign, IL)
Department(s)
Electrical and Computer Engineering
Second Department
Geosciences and Geological and Petroleum Engineering
Keywords and Phrases
Energy management; Energy resources; Circuit modeling; Circulation pumps; Micro-grid systems; Overall efficiency; Parasitic loss; Renewable energy applications; Vanadium redox flow batteries; Climate control
International Standard Book Number (ISBN)
978-1-4799-4881-9
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2014 IEEE Computer Society, All rights reserved.
Publication Date
01 Feb 2014