基于实验测量与零维系统建模的不确定性分析评估液态活塞压缩效率

Abstract Compressing gas at high pressure is required in multiple applications such a energy storage and hydrogen mobility. High pressure ratio gas compression can yet be costly, from an energy point of view. During compression, the gas heats up and the compression becomes a more energy intensive process. This is why optimal compression should be as close as possible to isothermal compression , by dissipating generated heat as the pressure increases. In this paper, we consider a liquid piston compressor , which operates by reducing the gas volume while the liquid level is rising up in the chamber. The relevance of the liquid piston compressor system is assessed by determining the energy consumption of compression stroke. However, this assessment is made difficult due to the uncertainties of different natures, such as geometrical characteristics and instrumentation techniques. To assess accurately the energy consumption of compression, an uncertainty framework has been developed in this study, together with an original lumped numerical model. Although this brings in addition modeling assumptions, whose uncertainties need to be taken into account as well, the full methodology allows in fine to compute the compression energy consumption through the P–V diagram integral. This comprehensive methodology enables the validation of the model behavior against experiment measurements, and assess with confidence the real compression consumption of this liquid compressor device, matching with theoretical predictions of compression. Indeed, the specific energy consumption of compression is assessed around 80 W h kg −1 , corresponding to an isothermal efficiency of 92.3%. Moreover, the global sensitivity analysis performed under uncertainties stresses out that the initial pressure and initial level are the most influential parameters on the energy consumption variability.