Exergetical analysis and design optimisation of the Stirling engine

Martaj, Nadia; Grosu, Lavinia; Rochelle, P.

doi:10.1504/ijex.2006.008325

Cited by 32 publications

(17 citation statements)

References 6 publications

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“…Equations (22) to (25) are similar to the equations presented by reference [27] with additional consideration given for the contributions because of the dead volume.…”

Section: Cold-side Heat Exchangermentioning

confidence: 99%

First and second law analysis of a Stirling engine with imperfect regeneration and dead volume

Harrod

Mago

Srinivasan

et al. 2009

Proceedings of the Institution of Mechanical Engineers, Part C:

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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, parametric studies of dead volume effects and regenerator effectiveness on Stirling engine performance are investigated. Finally, the thermodynamic availability of the system is assessed to determine theoretical second law efficiencies based on the useful exergy output of the cycle. Results indicate that a Stirling engine has high net work output and thermal efficiency for low dead volume percentages and high regenerator effectiveness. For example, compared to an engine with zero dead volume and perfect regeneration, an engine with 40 per cent dead volume and a regenerator effectiveness of 0.8 is shown to have ∼60 per cent less net work output and a 70 per cent smaller thermal efficiency. Additionally, this engine results in approximately nine times greater overall entropy generation and 55 per cent smaller second law efficiency.

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“…Equations (22) to (25) are similar to the equations presented by reference [27] with additional consideration given for the contributions because of the dead volume.…”

Section: Cold-side Heat Exchangermentioning

confidence: 99%

First and second law analysis of a Stirling engine with imperfect regeneration and dead volume

Harrod

Mago

Srinivasan

et al. 2009

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…The study conducted by Martaj et al (2006), applied the exergetic, energetic and entropic analysis techniques to the Stirling cycle to optimize the performance. The same authors in a separate study analyzed and optimized a low temperature difference Stirling engine at steady state operation (Martaj et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Exergy Analysis and Optimization of an Alpha Type Stirling Engine Using the Implicit Filtering Algorithm

Wills

Bello‐Ochende

2017

Front. Mech. Eng.

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This paper presents the exergy analysis and optimization of the Stirling engine, which has enormous potential for use in the renewable energy industry as it is quiet, efficient, and can operate with a variety of different heat sources and, therefore, has multi-fuel capabilities. This work aims to present a method that can be used by a Stirling engine designer to quickly and efficiently find near-optimal or optimal Stirling engine geometry and operating conditions. The model applies the exergy analysis methodology to the ideal-adiabatic Stirling engine model. In the past, this analysis technique has only been applied to highly idealized Stirling cycle models and this study shows its use in the realm of Stirling cycle optimization when applied to a more complex model. The implicit filtering optimization algorithm is used to optimize the engine as it quickly and efficiently computes the optimal geometry and operating frequency that gives maximum net-work output at a fixed energy input. A numerical example of a 1,000 cm 3 engine is presented, where the geometry and operating frequency of the engine are optimized for four different regenerator mesh types, varying heater inlet temperature and a fixed energy input of 15 kW. The WN200 mesh is seen to perform best of the four mesh types analyzed, giving the greatest network output and efficiency. The optimal values of several different engine parameters are presented in the work. It is shown that the net-work output and efficiency increase with increasing heater inlet temperature. The optimal dead-volume ratio, swept volume ratio, operating frequency, and phase angle are all shown to decrease with increasing heater inlet temperature. In terms of the heat exchanger geometry, the heater and cooler tubes are seen to decrease in size and the cooler and heater effectiveness is seen to decrease with increasing heater temperature, whereas the regenerator is seen to increase in size and effectiveness. In terms of the regenerator mesh type, it was found that the WN200 mesh gave a shorter regenerator with greater cross-sectional flow area which gave a smaller pressure drop.

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“…The refrigerating power of the ACS is estimated about 45.6 kW, determined by the dynamic analysis of the thermal behavior of the building. Solar energy could be the fuel for different cooling technologies: Stirling machine [1], ejection and absorption machines [2][3][4][5][6]. Using thermal energy to power the absorption system offers the possibility to consider the sun as fuel for this system and ensure cooling in summer when this source is abundantly available [7].…”

Section: Introductionmentioning

confidence: 99%

Exergy analysis of a solar combined cycle: organic Rankine cycle and absorption cooling system

Grosu

Marin

Dobrovicescu

et al. 2015

Int J Energy Environ Eng

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In this paper, exergy analysis is used to evaluate the performance of a combined cycle: organic Rankine cycle (ORC) and absorption cooling system (ACS) using LiBr-H 2 O, powered by a solar field with linear concentrators. The goal of this work is to design the cogeneration system able to supply electricity and ambient cooling of an academic building and to find solutions to improve the performance of the global system. Solar ACS is combined with the ORC system-its coefficient of performance depends on the inlet temperature of the generator which is imposed by the outlet of the ORC. Exergetic efficiency and exergy destruction ratio are calculated for the whole system according to the second law of thermodynamics. Exergy analysis of each sub-system leads to the choice of the optimum physical parameters for minimum local exergy destruction ratios. In this way, a different connection of the heat exchangers is proposed in order to assure a maximum heat recovery.

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Exergetical analysis and design optimisation of the Stirling engine

Cited by 32 publications

References 6 publications

First and second law analysis of a Stirling engine with imperfect regeneration and dead volume

First and second law analysis of a Stirling engine with imperfect regeneration and dead volume

Exergy Analysis and Optimization of an Alpha Type Stirling Engine Using the Implicit Filtering Algorithm

Exergy analysis of a solar combined cycle: organic Rankine cycle and absorption cooling system

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