five

Data-CEJ-388, 2020 124176.xlsx

收藏
DataCite Commons2020-09-18 更新2025-04-16 收录
下载链接:
https://data.ncl.ac.uk/articles/dataset/Data-CEJ-388_2020_124176_xlsx/12965051/1
下载链接
链接失效反馈
官方服务:
资源简介:
Data for the figures<br>This study presents a steady state, two dimensional mathematical model of microbial fuel cells (MFCs) developed by coupling mass, charge and energy balance with the bioelectrochemical reactions. The model parameters are estimated and validated using experimental results obtained from five air-cathode MFCs operated at different temperatures. Model analysis correctly predicts the nonlinear performance trend of MFCs with temperatures ranging between 20 °C and 40 °C. The two dimensional distribution allows the computation of local current density and reaction rates in the biofilm, helping to correctly capture the interdependence of system variables and predict the drop in power density at higher temperatures. Model applicability for parametric analysis and process optimization is further highlighted by studying the effect of electrode spacing and ionic strength on MFC performance.

图数据 本研究提出一种稳态二维微生物燃料电池(microbial fuel cells, MFCs)数学模型,该模型通过耦合质量、电荷与能量平衡及生物电化学反应构建而成。模型参数通过五台不同温度下运行的空气阴极MFCs实验结果进行估算与验证。模型分析可准确预测温度在20°C至40°C范围内时MFCs的非线性性能趋势。二维分布可实现生物膜内局部电流密度与反应速率的计算,有助于准确捕捉系统变量间的相互依赖关系,并预测高温下功率密度的下降趋势。通过研究电极间距与离子强度对MFC性能的影响,进一步凸显了该模型在参数分析与工艺优化中的适用性。
提供机构:
Newcastle University
创建时间:
2020-09-18
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作