SBIR Phase I: A Simulation Tool for the Prediction of Performance of Liquid-Feed Direct Methanol Fuel Cells

SBIR 第一阶段：用于预测液体馈送直接甲醇燃料电池性能的仿真工具

• 批准号: 0232266
• 负责人: Sandip Mazumder
• 金额: $ 9.99万
• 依托单位: CFD RESEARCH CORPORATION
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-01-01 至 2003-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0232266&HistoricalAwards=false
• 关键词: SBIR; Phase; Simulation; Tool; Prediction

This Small Business Innovation Research (SBIR) Phase I project focuses on the development of commercial software, based on computational fluid dynamic (CFD) techniques, to predict performance of liquid-feed direct methanol fuel cells (DMFC). While computational modeling of fuel cells has been widespread in the solid oxide fuel cell (SOFC) and hydrogen-air proton exchange membrane fuel cell (PEMFC) areas, it has been limited in the area of direct methanol fuel cell. This can be attributed, in part, to the fact that in DMFC, since the liquid fuel produces gaseous products, the modeling necessitates careful consideration of two-phase phenomena, which is numerically challenging. A comprehensive simulation tool for the prediction of performance of gas-feed PEMFC and SOFC have been developed and marketed. In order to capture the rapidly growing DMFC market, this project proposes to extend the simulation tool to address issues specific to liquid-feed DMFC modeling. The model will be validated against experimental data available from the literature. Liquid-feed Direct Methanol Fuel Cells have become the center of attention, especially for portable power applications where optimal space utilization is critical. The proposed research will produce a commercial-quality predictive tool, which could be utilized extensively for design and optimization of DMFCs, in addition to providing better understanding of the transport and electrochemistry that occur in such systems.

这个小企业创新研究（SBIR）第一阶段项目的重点是商业软件的开发，基于计算流体动力学（CFD）技术，预测液体进料直接甲醇燃料电池（DMFC）的性能。 虽然燃料电池的计算模型已广泛应用于固体氧化物燃料电池（SOFC）和氢-空气质子交换膜燃料电池（PEMFC）领域，但在直接甲醇燃料电池领域的研究还很有限。 这可以部分归因于以下事实：在DMFC中，由于液体燃料产生气态产物，因此建模需要仔细考虑两相现象，这在数值上具有挑战性。 一个全面的模拟工具，用于预测的气体进料PEMFC和SOFC的性能已经开发和销售。为了抓住快速增长的DMFC市场，该项目提出了扩展模拟工具，以解决特定的问题，液体进料DMFC建模。该模型将根据文献中的实验数据进行验证。液体进料直接甲醇燃料电池已成为关注的焦点，特别是对于最佳空间利用率至关重要的便携式电源应用。拟议的研究将产生一个商业质量的预测工具，它可以广泛用于DMFC的设计和优化，除了提供更好地了解发生在这样的系统中的传输和电化学。