2009
DOI: 10.1243/09544062jmes1651
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First and second law analysis of a Stirling engine with imperfect regeneration and dead volume

Abstract: This article discusses the thermodynamic performance of an ideal Stirling cycle engine. This investigation uses the first law of thermodynamics to obtain trends of total heat addition, net work output, and thermal efficiency with varying dead volume percentage and regenerator effectiveness. Second law analysis is used to obtain trends for the total entropy generation of the cycle. In addition, the entropy generation of each component contributing to the Stirling cycle processes is considered. In particular, pa… Show more

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Cited by 11 publications
(3 citation statements)
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“…Harrod et al. 4 performed a first and second law analysis on an isothermal model and captured heat exchanger inefficiencies by using effectiveness definitions. All spaces were assumed to operate at a uniform pressure; therefore, flow-induced pressure drops were not included.…”
Section: Introductionmentioning
confidence: 99%
“…Harrod et al. 4 performed a first and second law analysis on an isothermal model and captured heat exchanger inefficiencies by using effectiveness definitions. All spaces were assumed to operate at a uniform pressure; therefore, flow-induced pressure drops were not included.…”
Section: Introductionmentioning
confidence: 99%
“…This regeneration concept indicates the potential for high thermal efficiencies [1]. Research on the thermodynamics and performance characteristics of Stirling engines are available in open literature [5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%
“…Thombare and Verma [8]offered an outline of Stirling engine operation and theory including an overview of thermodynamic models, various geometries, and operational characteristics. Harrod et al [9] presented a first and second law analysis of the Stirling cycle including the effects of the presence of dead volumes and imperfect regeneration. They presented trends for net work, thermal efficiency, and entropy generation.…”
Section: Introductionmentioning
confidence: 99%