Optimum performance characteristics of a solar-driven Stirling heat engine system

Liao, Tianjun; Lin, Jian

doi:10.1016/j.enconman.2015.03.027

Cited by 49 publications

(11 citation statements)

References 28 publications

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“…Although the aforementioned systems have different setups, their primary apparatus are similar; Being based on concentration of solar radiation onto a small area. In CSP plants systems, the Stirling dish has the maximum efficiency about 27% . Dish‐Stirling system arrangements are represented in Refs .…”

Section: Introductionmentioning

confidence: 99%

“…In CSP plants systems, the Stirling dish has the maximum efficiency about 27%. 4 Dish-Stirling system arrangements are represented in In the past 20 years, eight different dish-Stirling configurations were developed by companies in Germany, the United States, Russia, and Japan. 8 A 1.5 MW capacity installation is currently under construction at Peoria, AZ, and multi-hundred megawatts capacity plants have been designed and are in progress.…”

Section: Introductionmentioning

confidence: 99%

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Multi‐objective performance optimization of irreversible molten carbonate fuel cell–Stirling heat engine–reverse osmosis and thermodynamic assessment with ecological objective approach

Ahmadi

Sameti

Pourkiaei

et al. 2018

Energy Science & Engineering

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This paper aims to investigate a hybrid cycle consisting of a molten carbonate fuel cell (FC) and a Stirling engine which, by connecting to a seawater reverse osmosis desalination unit, provides fresh water. First, a parametric evaluation is performed to study the effect of some key parameters, including the current density and the working temperature of the FC and the thermal conductance between the working substance and the heat reservoirs in the Stirling engine, on the objective functions. The objective functions include the energy efficiency, the exergy destruction rate density, the fresh water production rate, and the ecological function density. After investigating each double combination of these objective functions, two scenarios are defined in quest to concurrently optimize three functions together. The first scenario aims to optimize the energy efficiency, the exergy destruction rate density, and the fresh water production rate; and the second scenario attempts to optimize the energy efficiency, the fresh water production rate, and the ecological function density. A multi‐objective evolutionary algorithm joined with the nondominated sorting genetic algorithm (NSGA‐II) approach is employed to obtain Pareto fronts in each case scenario. In order to ascertain final solutions between Pareto fronts, three fast and robust decision‐making methods are employed including TOPSIS, LINMAP, and Fuzzy. Finally, a sensitivity analysis is conducted to critically analyze the performance of the system.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi‐objective performance optimization of irreversible molten carbonate fuel cell–Stirling heat engine–reverse osmosis and thermodynamic assessment with ecological objective approach

Ahmadi

Sameti

Pourkiaei

et al. 2018

Energy Science & Engineering

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“…In the developments of Stirling engines, a precise model is highly desirable for predicting thermal performances and characterizing key operation features. Many models have been presented in recent years, including empirical [5][6][7][8], analytical [9][10][11][12][13][14][15][16][17][18] and numerical approaches. For numerical models, they can be categorized into second-order , third-order [47][48][49][50] and multi-dimensional computational fluid dynamics [51][52][53][54] methods.…”

Section: Introductionmentioning

confidence: 99%

A transient one-dimensional numerical model for kinetic Stirling engine

et al. 2016

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A third-order numerical model based on one-dimensional computational fluid dynamics is developed for kinetic Stirling engines. Various loss mechanisms in Stirling engines, including gas spring hysteresis loss, shuttle loss, appendix displacer gap loss, gas leakage loss, finite speed loss, piston friction loss, pressure drop loss, heat conduction loss, mechanical loss and imperfect heat transfer, are considered and embedded into the basic control equations. The non-equilibrium thermal model is adopted for the regenerator to capture the oscillating features of the gas and solid temperatures. To improve the numerical stability and accuracy, the implicit second-order time difference scheme and the second-order upwind scheme are adopted for discretizing the time differential terms and convective terms, respectively. Experimental validations are then conducted on a beta-type Stirling engine with the extensive experimental data for diverse working conditions. The results show that the developed model has better accuracies over previous second-order models. Good agreements are achieved for predicting various critical system parameters, including pressure-volume diagram, indicated power, brake power, indicated efficiency, brake efficiency and mechanical efficiency. In particular, both the experiments and simulations show that the Stirling engine charged with helium tends to have much lower optimal working frequencies and poorer performances compared to the hydrogen system. Based on the analyses of the losses, it reveals that the pressure drop in the flow channels plays a critical role in shaping the different behaviors. The pressure drop in the helium system is much larger and more sensitive to the frequency increase due to the much larger viscosity of gaseous helium. Hydrogen is a superior working gas for a Stirling engine. The transient characteristics of the oscillating flow and the associated thermal interactions between gas and solid in the regenerator are finally analyzed in order to have an insight of the complex thermodynamic process. The study provides a promising numerical approach in simulating Stirling engines for further understandings of their operating characteristics and the underling mechanisms.

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“…Over the past decade,t he operation of the Stirling engine has been further investigated by simulation and calculation [7][8][9][10] and through design improvements. [11][12][13][14][15][16][17] Theh eat exchangers,w hich represent 40 %o ft he total cost of aS tirling engine, [18,19] have drawn specific attention in this respect.…”

Section: Introduction Energy Resources and The Use Of Heat Enginesmentioning

confidence: 99%

Use of Particle Heat Carriers in the Stirling Engine Concept

Zhang

Gowing²,

Degrève

et al. 2016

Energy Tech

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The Stirling engine has drawn new attention for its high efficiency and flexibility towards the application of different heat sources. A new Stirling engine application in a renewable energy combined heat and power (CHP) concept will be presented, in which powders are used as the heat carrier between the hot storage and the ultimate Stirling reuse. A fluidized bed of small particles (50–150 μm) is examined in this study. The outside heat transfer coefficient to the finned Stirling heat exchanger largely exceeds 1500 W m−2 K−1 at very low fluidization velocities, which is, therefore, not the heat transfer limitation. Positron emission particle tracking experiments demonstrated that the particle movement and mixing in the fluidized bed are not hampered by the presence of the finned heat transfer tube. As the Stirling engine can reach efficiencies in excess of 30 % and has the potential to be integrated in a CHP mode of operation, it should be considered as a hot research topic in the renewable energy sector.

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Optimum performance characteristics of a solar-driven Stirling heat engine system

Cited by 49 publications

References 28 publications

Multi‐objective performance optimization of irreversible molten carbonate fuel cell–Stirling heat engine–reverse osmosis and thermodynamic assessment with ecological objective approach

Multi‐objective performance optimization of irreversible molten carbonate fuel cell–Stirling heat engine–reverse osmosis and thermodynamic assessment with ecological objective approach

A transient one-dimensional numerical model for kinetic Stirling engine

Use of Particle Heat Carriers in the Stirling Engine Concept

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