RANS-based CFD methodology and modeling of a 1/100 scale thermoelectric power generation system for container ships

Abstract

As environmental regulations on exhaust gas are enforced worldwide and marine transportation is progressively strengthened, various methods are being explored to comply with emission regulations by using alternative energy sources. This study involved the optimization of a thermoelectric power generation (TEG) system, which converts thermal energy into electrical energy. The design of the TEG system was optimized by using CFD to analyze the heat transfer phenomena resulting from the relative positions of the TEG modules, and the results of this analysis were validated with 1/100 experimental scale measurement data. The comparison of the CFD results with the experimental measurements revealed that the maximum discrepancy exists for the temperature near the cooling jacket and for the amount of power generated by the system. The significant difference between the CFD and experimental results is attributable to the adiabatic conditions assumed for CFD since the experimental facility experiences heat loss to the atmosphere. In this study, we established an analysis methodology by conducting a comparative validation between CFD calculations and experimental data. The methodology is expected to play a significant role in optimizing the design of thermoelectric power generation systems.