考虑退化和最小功率约束的SOFC效率优化

Hangyue Li, Minfang Han
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摘要

固体氧化物燃料电池(SOFC)是一种新兴的能量转换技术,具有高效率、功率密度高、耐久性好和燃料相容性好等特点。由于这些优点,sofc经常与燃气轮机等热机结合使用,以提高系统效率和功率密度。在实践中,sofc通常需要提供一定的功率。从经济性角度考虑,发电效率是影响能源转换系统运行成本的关键因素。然而,在不同的运行条件下,有可能达到高功率和高效率。例如,为了满足峰值功率需求,需要更高的工作电流和燃料流量,而sofc通常在较低的电流密度和燃料流量下更节能。因此,理想的运行状态是解决功率受限的效率优化问题。此外,SOFC在运行过程中会降解,从而导致SOFC特性的逐渐变化。因此,优化需要动态求解。为了分析上述问题,对一个10 cm × 10 cm的平面SOFC进行了反复极化表征和电化学阻抗谱测试。利用极化和阻抗数据建立了二维多物理场模型并进行了标定。为了考虑在较低燃油流量下较低的开路电压,模型中包含了一个等效泄漏电流。在给定功率约束条件下,利用该模型进行效率优化。在每个所需功率输出下,计算最佳燃油流量以及相应的电压、电流和效率。在全球范围内,电效率在0.1标准升/分钟(SLM)氢气流量时达到峰值,而在更高功率下,燃油利用率在65%至90%之间达到最佳效率。考虑到欧姆电阻的增加和电极交换电流密度的降低,在降低燃料利用率和降低电压时达到最佳效率,这可能导致阳极局部氧化。此外,在给定极化数据的情况下,提出了一种简单、直接的最优燃油流量估计方法。有关安全限制的进一步研究将在未来进行。图1
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Efficiency Optimization of SOFC Subject to Degradation and Minimum Power Constraint
Solid Oxide Fuel Cell (SOFC) is a developing energy conversion technology featuring high efficiency, power density, durability, and fuel compatibility. With these advantages, SOFCs are combined frequently with heat engines such as gas turbines, for higher system efficiency and power density. In practice, SOFCs are often required to deliver certain power. Considering economical aspects, power generation efficiency is critical to the running cost of energy conversion systems. However, high power and high efficiency are likely reached under different operating conditions. For example, to meet peak power demands, higher operating currents and fuel flowrates are necessary, while SOFCs are generally more energy efficient at lower current densities and fuel flowrates. Hence, the ideal operating condition is the solution to a power-constrained efficiency optimization problem. Moreover, SOFCs degrade as they operate, introducing gradual changes to SOFC characteristics. Thus, the optimization needs to be solved dynamically. To analyze the above-mentioned problem, a 10 cm by 10 cm planar SOFC was repeatedly tested for polarization characterizations and electrochemical impedance spectra. A 2-dimentional multi-physics model was developed and calibrated using both polarization and impedance data. To account for the lower open circuit voltage at lower fuel flowrates, an equivalent leakage current is included in the model. The model was thereafter employed for efficiency optimization given power constraints. At each required power output, the optimal fuel flowrate and the corresponding voltage, current, and efficiency was calculated. The electrical efficiency peaks globally at around 0.1 Standard Liter per Minute (SLM) hydrogen flowrate, while at higher power, the optimal efficiency is reached at fuel utilizations between 65% and 90%. Accounting for degradation in terms of growing ohmic resistance and decreasing electrode exchange current densities, the optimal efficiency is reached at lowering fuel utilization and lowering voltage, which may result in local oxidization of the anode. Moreover, an easy and straight-forward way was proposed to estimate the optimal fuel flowrate given polarization data. Further studies involving the safety constraints will be carried out in the future. Figure 1
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