3rd International Energy Conversion Engineering Conference · 2005 · 15 citations · 18 references
EngineeringMechanical EngineeringSystems EngineeringComputational Heat TransferHeat TransferThermodynamicsEngine ModelingEngine TestingEngine ThermodynamicsEntropyHeat Transfer ModelingSecond Law Of ThermodynamicsEnergy Loss AnalysisEntropy Generation AnalysisGas FlowLoss AnalysisThermodynamic AnalysisThermodynamic Performance AnalysisThermodynamic Performance ModelingThermodynamic Processes
The results of the entropy generation and availability energy loss analysis under conditions of oscillating pressure and oscillating helium gas flow in two Massachusetts Institute of Technology (MIT) test rigs piston-cylinder and piston-cylinder-heat exchanger are presented. Two solution domains, the gas spring (single-space) in the piston-cylinder test rig and the gas spring + heat exchanger (two-space) in the piston-cylinder-heat exchanger test rig are of interest. Sage and CFD-ACE+ commercial numerical codes are used to obtain 1-D and 2-D computer models, respectively, of each of the two solution domains and to simulate the oscillating gas flow and heat transfer effects in these domains. Second law analysis is used to characterize the entropy generation and availability energy losses inside the two solution domains. Internal and external entropy generation and availability energy loss results predicted by Sage and CFD-ACE+ are compared. Thermodynamic loss analysis of simple systems such as the MIT test rigs are often useful to understand some important features of complex pattern forming processes in more complex systems like the Stirling engine. This study is aimed at improving numerical codes for the prediction of thermodynamic losses via the development of a loss post-processor. The incorporation of loss post-processors in Stirling engine numerical codes will facilitate Stirling engine performance optimization. Loss analysis using entropy-generation rates due to heat and fluid flow is a relatively new technique for assessing component performance. It offers a deep insight into the flow phenomena, allows a more exact calculation of losses than is possible with traditional means involving the application of loss correlations and provides an effective tool for improving component and overall system performance.
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The American Society of Mechanical Engineers
Science · 1925 · 1.1K citations
L. Braslow · NASA Technical Reports Server (NASA) · 1983 · 808 citations
Loss Mechanisms in Turbomachines
J. D. Denton · 1993 · 454 citations · Full text
Engineering, Aerospace Engineering, Mechanical Engineering +17