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Optimization of Flow in Microbial Fuel Cells: An Investigation into Promoting Micro-channel Effectiveness

微生物燃料電池流場最佳化:提升微流道效力探討

摘要


微生物燃料電池性能的改善是目前重要且極需被克服的一個課題,研究擬以商用軟體(CFDRC)於不同深寬比及雷諾數流場條件下,針對仿生型、網狀型及兩種傳統流道(平行式與蛇型)之流道設計、壓力分佈、壓降及速度分佈等參數進行分析。分析結果得知,仿生型流場因能產生較大質量流量及較小壓阻,使得整體系統性能表現最佳,這些研究成果將有助於未來微生物燃料電池系統的設計。

並列摘要


An important obstacle to overcome in the advancement of microbial fuel cell (MFC) technology is improving the effectiveness of the micro-channel components in a MFC system. Through the use of a commercial computational fluid dynamics (CFD) simulator, this study analyzed four micro-channel designs and collected data pertaining to velocity and pressure distribution, and pressure drop. Factors considered in the study included inlet aspect ratios and variable inlet Reynolds numbers. Simulation outputs and experimental testing all indicated that an innovative biometric configuration yielded the best combination of all the parameters, producing the most consistent mass flow rate and the second-lowest pressure trend. Other designs were deemed less effective due to detrimental characteristics such as inconsistent flow patterns or undesirable pressure levels. These findings would be useful to the further design of microbial fuel cell system.

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