模拟外部负载变化对单,串行和并行连接的微生物燃料电池的影响
S Potrykus1, J Nieznański2, F Kutt2
1Chemical Engineering Department, ITQUIMA, University of Castilla-La Mancha, Avenida Camilo José Cela S/N, 13071 Ciudad Real, Spain; Faculty of Electrical and Control Engineering, Gdansk University of Technology, Gdansk, Poland.
Bioresource technology
|November 8, 2024
概括
本研究引入了微生物燃料电池 (MFC) 模型,以根据外部负载预测性能. 该模型准确预测电压和化学氧需求 (COD) 的变化,并通过实验室测试进行验证.
科学领域:
- 环境科学 环境科学
- 电化学 电化学 电化学
- 生物技术是生物技术.
背景情况:
- 微生物燃料电池 (MFC) 提供了一个可持续的能源来源.
- 了解外部负载效应对于优化MFC性能至关重要.
- 需要准确的建模来预测不同条件下的MFC行为.
研究的目的:
- 开发和验证用于MFC性能分析的数学模型.
- 调查外部负载对MFC电压和化学氧气需求 (COD) 的影响.
- 评估模型对单个和相互连接的MFCs的预测准确度.
主要方法:
- 开发了一种新的MFC模型,其中包含了电压和COD对外部负载的依赖性.
- 模型参数使用控制负载电流的电压放松方法测试进行校准.
- 该模型与实验室测量和MATLAB Simulink模拟进行了验证.
主要成果:
- 拟议的模型准确地预测了MFC批次循环期间的电压和COD演变.
- 模型预测显示,对于电压和COD,根平均平方误差 (RMSE) 在4%以下.
- 该模型有效地模拟了单个MFC和连接串行或并行的MFC的行为.
结论:
- 开发的MFC模型提供了一个可靠的工具,用于在不同的外部负载下预测性能.
- 该模型的高精度验证了其在设计和优化MFC系统中的实用性.
- 这项研究通过改进的预测建模,为MFC技术的进步做出了贡献.
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