The Monte Carlo based virtual entropy generation analysis

Abstract Due to a lack of any persuasive principle in defining a reasonable error criterion, regulations of experiment measurement are mostly experience-based. Measurement criteria developed by virtual entropy generation (VEG) analysis provide a new perspective on experiment control and data reliability. However, it is expensive to validate these criteria through experiments. Therefore, developing affordable numerical tools are necessary and important in VEG analysis. In the present research, we developed a Monto Carlo based model for a counter-flow heat exchanger virtual entropy generation analysis. In the present research, the uncertainty boundary of virtual entropy generation analysis was implanted to a counter-flow heat exchanger through Monte Carlo method. By a comparison study with existing analytical and experiment results, capabilities of the Monte Carlo model were demonstrated in providing quantitative and comprehensive data at a low cost.

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