Stirling Refrigerating Machine Modeling Using Schmidt and Finite Physical Dimensions Thermodynamic Models: A Comparison with Experiments

Dobre, Cătălina; Grosu, Lavinia; Dobrovicescu, Alexandru; Chişiu, Georgiana; Constantin, Mihaela

doi:10.3390/e23030368

Cited by 7 publications

(5 citation statements)

References 28 publications

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“…Beta-type Stirling refrigeration machine has been studied [34] using the finite physical dimensions thermodynamics (FPDT) method and 0-D modeling using the Schmidt model with imperfect regeneration. The researchers presented the results of both thermodynamic models in comparison with the experimental investigations.…”

Section: Introductionmentioning

confidence: 99%

Parametric Investigation and Univariant Optimization of Domestic Stirling Refrigerator

Getie

Lanzetta

Lorenzen

et al. 2023

International Journal of Energy Research

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As the temperature range of the cooling machine affects the cooling performance, parametric optimization of moderate temperature Stirling refrigerator has valuable concept. In this paper, a nonideal modified simple numerical model was used to investigate the effects of parameters and to propose optimized Stirling refrigerator design for moderate temperature applications. The analysis was conducted through simulating the numerical model using MATLAB code for beta configuration FEMTO-60 prototype operating as a refrigerator. The effects of shuttle heat loss and mass leakage on the cooling performance of domestic Stirling refrigerator have been studied. Moreover, the effects of operating parameters (operating frequency and charging pressure) and design parameters (phase angle, regenerator length and porosity, displacer height, swept volume ratio, and piston diameter to stroke ratio) have been investigated. A cooling power of 625 W and COP of 1.3 have been found at a charging pressure of 22.5 bar and an operating frequency of 6 Hz using the optimized design parameters. The optimized parameters (operating and specified design parameters) could deliver from 48% to 60% more cold production and from 30% to 40% more COP than the existing design with a safe working condition.

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Section: Introductionmentioning

confidence: 99%

Parametric Investigation and Univariant Optimization of Domestic Stirling Refrigerator

Getie

Lanzetta

Lorenzen

et al. 2023

International Journal of Energy Research

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“…However, even if the quality of an objectively measured service is paramount, it is also important for a designer to be able to anticipate/predict, as much as possible, the perceived quality or value of a subjectively measured product. The human factor, in particular, knowing consumers' sensory preferences, is therefore fundamental [23,[25][26][27][28][29][30][31][32][33][34]. In this context, integrating the human factor at the heart of an approach to the sensory assessment of a product is becoming a priority in the eco-design process.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Perspectives Using Human Beings: The Sensory Properties of a Bio-Based Material Compared to a Synthetic Material—An Overall Assessment Based on an Innovative Blind Method

Nicolau

2023

Sustainability

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Based on a comparative method, this paper discusses a sustainable perspective for the use of a certain bio-based material instead of synthetic materials, using human beings, with their sensory perceptions, as the central measurement tools. The innovative eco-design approaches are aimed at radical environmental improvements by focusing on the services provided to consumers. In improving the quality of a product, equity and environmental harmony have become issues and constant challenges in companies’ quests for modernization. In order to achieve this goal, one of the solutions taken into account by companies in order to be increasingly competitive is to replace, sometimes partially and other times totally, synthetic materials with new non-food, bio-based materials in the manufacturing process. The approach in this paper is aimed at better integrating tactile characteristics in designing green products. The detailed review of the literature shows that a consumer’s subjective perception is of paramount importance in their decision to accept a new product. Focusing on the sensory characteristics of materials with bio-based and synthetic origins, this paper draws conclusions about their resemblances and differences. The various subjective sensations when touching the two types of material are compared in order to obtain results that can protect the environment in the future.

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“…As a further extension of traditional irreversible process thermodynamics, finite time thermodynamics [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 ] have been applied to analyze and optimize performances of actual thermodynamic cycles, and great progress has been made. The application of finite time thermodynamics to study the optimal performance of Diesel cycles represents a new technology for improving and optimizing Diesel heat engines, and a new method for studying Diesel cycles has been developed.…”

Section: Introductionmentioning

confidence: 99%

Performance Optimizations with Single-, Bi-, Tri-, and Quadru-Objective for Irreversible Diesel Cycle

Shi

Chen

2021

Entropy

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Applying finite time thermodynamics theory and the non-dominated sorting genetic algorithm-II (NSGA-II), thermodynamic analysis and multi-objective optimization of an irreversible Diesel cycle are performed. Through numerical calculations, the impact of the cycle temperature ratio on the power density of the cycle is analyzed. The characteristic relationships among the cycle power density versus the compression ratio and thermal efficiency are obtained with three different loss issues. The thermal efficiency, the maximum specific volume (the size of the total volume of the cylinder), and the maximum pressure ratio are compared under the maximum power output and the maximum power density criteria. Using NSGA-II, single-, bi-, tri-, and quadru-objective optimizations are performed for an irreversible Diesel cycle by introducing dimensionless power output, thermal efficiency, dimensionless ecological function, and dimensionless power density as objectives, respectively. The optimal design plan is obtained by using three solution methods, that is, the linear programming technique for multidimensional analysis of preference (LINMAP), the technique for order preferences by similarity to ideal solution (TOPSIS), and Shannon entropy, to compare the results under different objective function combinations. The comparison results indicate that the deviation index of multi-objective optimization is small. When taking the dimensionless power output, dimensionless ecological function, and dimensionless power density as the objective function to perform tri-objective optimization, the LINMAP solution is used to obtain the minimum deviation index. The deviation index at this time is 0.1333, and the design scheme is closer to the ideal scheme.

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Stirling Refrigerating Machine Modeling Using Schmidt and Finite Physical Dimensions Thermodynamic Models: A Comparison with Experiments

Cited by 7 publications

References 28 publications

Parametric Investigation and Univariant Optimization of Domestic Stirling Refrigerator

Parametric Investigation and Univariant Optimization of Domestic Stirling Refrigerator

Sustainable Perspectives Using Human Beings: The Sensory Properties of a Bio-Based Material Compared to a Synthetic Material—An Overall Assessment Based on an Innovative Blind Method

Performance Optimizations with Single-, Bi-, Tri-, and Quadru-Objective for Irreversible Diesel Cycle

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