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双室微生物燃料电池阳极区域动态模拟 被引量:2

Dynamic Simulation of Anodic Region of Dual Chamber MFC
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摘要 为了探究不同因素对微生物燃料电池(MFC)电流输出影响,建立了以葡萄糖为底物,硫瑾为电子中介体的微生物燃料电池阳极区域一维动态传质模型。模型方程用MATLAB软件编程求解,考查并分析了微生物、葡萄糖和还原态电子中介体初始浓度与外接电阻值对电池电流的影响,并与实验结果进行了对比。模拟结果表明:与稳态传质模型相比,作者所建立的动态传质模型模拟结果和实验结果能够更好吻合;增加阳极室中微生物初始浓度、葡萄糖初始浓度,还原态电子中介体初始浓度或减小外接电阻值均有利于增加电池电流且模拟结果与实验结果一致;当阳极室中还原态电子中介体的初始浓度为0.1 mmol×L^(-1)电极表面浓差极化现象对电池电流影响较大,导致模拟数据与实验数据有偏差。该模型可为研究其他复杂模型提供参考。 One-dimensional dynamic mass transfer models for anode areas of microbial fuel cells(MFC) were derived to study the effects of different factors on MFC current output. Glucose was used as the substrate with thionine as the electron-transfer mediator. The model equations were programmed and solved numerically by MATLAB, and the simulation results were compared with those of experiments. Effects of various parameters on MFC current including initial concentrations of biomass, glucose and reduced electron mediator and external ohmic resistance were investigated and analyzed. The simulation results show that the results calculated by dynamic mass transfer models are better than those of steady-state mass transfer models in fitting experimental data. Increase of the initial concentration of microorganism, glucose and reduced electron mediator in anode chamber or decrease of the external resistance value is beneficial to enhance MFC current, and the simulation results are consistent with the experimental data. When the initial concentration of the reduced electron mediator is 0.1 mmol × L^(-1) in the anode chamber, the concentration polarization phenomenon on the electrode surface has a significant impact on the MFC current, which results in the deviation of the simulated data from the experimental data. The model can be used as a reference for other complex cases.
作者 尚均顶 岳学海 许春莉 王许云 SHANG Jun-ding;YUE Xue-hai;XU Chun-li;WANG Xu-yun(School of Chemical Engineering and Technology,Qingdao University of Science and Technology,Qingdao 266042,China)
出处 《高校化学工程学报》 EI CAS CSCD 北大核心 2018年第3期718-724,共7页 Journal of Chemical Engineering of Chinese Universities
基金 山东省自然科学基金(ZR2013BM012)
关键词 微生物燃料电池 数学模型 动态传质 模型模拟 microbial fuel cell mathematical models dynamic mass transfer model simulation
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