Thermo-ecological performance optimisation of two stage irreversible refrigerators

Kalaiselvam, S.; Balaji, V.; Veerappan, M.; Iniyan, S.

doi:10.1504/ijex.2009.023998

Cited by 1 publication

(1 citation statement)

References 14 publications

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“…refrigerator, To is the ambient temperature,  is the entropy generation rate, and QL is the cooling load. Using this modified criterion, Kalaiselvam et al [14] investigated the optimal performance of two-stage refrigerator and analytically obtained the optimal conditions of cooling load, entropy generation rate, and coefficient of performance rates. Wouagfack and Tchinda [15] considered ecological coefficient of performance (ECOP) as an objective function to optimize the working parameters of irreversible refrigeration absorption system.…”

Section: Introductionmentioning

confidence: 99%

Crow Search based Multi-objective Optimization of Irreversible Air Refrigerators

Turgut

2018

ijisae

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This study proposes the optimum performance of the irreversible air refrigerators through recently developed metaheuristic algorithm called Crow search algorithm by means of finite time thermodynamics. Finite time thermodynamics is based on choosing the optimum pathways for any kind of thermodynamic system in order to reach the maximum efficiency of the thermodynamic cycle. Handful of objectives for assessing the performance of the irreversible air refrigerators such as coefficient of performance (COP), exergetic efficiency (ηII) , ecological coefficient of performance (ECOP), thermos economic optimization (F), and thermos ecologic optimization functions (ECF) have been successfully applied on the system. Three optimization scenarios have been studied for the multi objective optimization of irreversible air refrigerators. First scenario evaluates the concurrent optimization of objectives including exergetic efficiency (ηII), coefficient of performance (COP), and ecological coefficient of performance (ECOP). In second scenario, coefficient of performance (COP), thermos economic parameter (F), and thermos ecological coefficient of performance (ECOP) have been simultaneously maximized to retain optimum working point of the cycle. Third case studies the simultaneous optimization of the imposed objectives such as second law efficiency (ηII), coefficient of performance (COP), and thermos ecological function (ECF). Widely known decision-making theorems of LINMAP, TOPSIS, and Shannon's entropy theorem have been applied on the Pareto curve constructed by the non-dominated solutions to decide the most favorable solution on the frontier.

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Section: Introductionmentioning

confidence: 99%

Crow Search based Multi-objective Optimization of Irreversible Air Refrigerators

Turgut

2018

ijisae

View full text Add to dashboard Cite

show abstract

Thermo-ecological performance optimisation of two stage irreversible refrigerators

Cited by 1 publication

References 14 publications

Crow Search based Multi-objective Optimization of Irreversible Air Refrigerators

Crow Search based Multi-objective Optimization of Irreversible Air Refrigerators

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