Power density characteristic analysis and multi-objective optimization of an irreversible porous medium engine cycle

Zang, Pengchao; Ge, Yanlin; Chen, Lingen; Gong, Qirui

doi:10.1016/j.csite.2022.102154

Cited by 38 publications

(5 citation statements)

References 64 publications

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“…Qiu et al [50,51] investigated the efficient power characteristics of simple endoreversible and irreversible closed Brayton cycles and applied the NSGA-II algorithm to optimize five objectives: cycle thermal efficiency, power, power density, ecological function, and efficient power. NSGA-II algorithm has also been applied to MOOs for other macro thermal cycles and processes, such as Dual [52], Stirling [53], porous medium cycle [54], organic Rankine cycle [55], chemical pump [56], Otto cycle [57], and membrane reactors [58,59].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization for Quantum Rectangular Cycle with Power, Efficiency and Efficient Power

Xie,

Chen,

Yin

et al. 2024

Acta Phys. Pol. A

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This paper establishes a quantum rectangular heat engine model by applying finite-time thermodynamics. The working medium is countless particles trapped in a one-dimensional infinite potential well. Taking into account heat leakage between the system and the outside, expressions for thermal efficiency (η), dimensionless power ( P ), and dimensionless efficient power ( Wep) of quantum rectangular heat engine are derived, and its optimal performance is studied. System performance P , η, and Wep are optimized firstly by taking the width ratio of the potential well as the optimization variable. The outcomes show that the relationship curve between P and η is a loop-shaped curve. With an increase in heat leakage coefficient, the optimal design range of the quantum rectangular heat engine becomes smaller. The relationship curve between the efficient power and width ratio of the potential well is parabolic-like. The relationship curve between Wep and η is a loop-shaped curve. The efficiency of the quantum rectangular heat engine at Wep max operating point is greater than that at Pmax operating point. Secondly, multi-objective optimization is applied with η, P , and Wep as optimization objectives by applying NSGA-II, and the optimal design scheme is achieved by applying TOPSIS, LINMAP, and Shannon entropy decision-making approaches. The smallest deviation index inferred by the Shannon entropy approach is 0.0269. The design scheme is closest to the ideal scheme. topics: finite-time thermodynamics; quantum rectangular heat engine (QRHE); power, multi-objective optimization, thermal efficiency and efficient power

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Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization for Quantum Rectangular Cycle with Power, Efficiency and Efficient Power

Xie,

Chen,

Yin

et al. 2024

Acta Phys. Pol. A

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“…The PM cycle can be changed to the Otto cycle when the pre-expansion ratio is 1. Zang et al [ 87 ] studied the

performance and performed MOO of the

and

of an irreversible PM cycle.…”

Section: Introductionmentioning

confidence: 99%

Four-Objective Optimization for an Irreversible Porous Medium Cycle with Linear Variation in Working Fluid’s Specific Heat

Zang

Chen

et al. 2022

Entropy

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Considering that the specific heat of the working fluid varies linearly with its temperature, this paper applies finite time thermodynamic theory and NSGA-II to conduct thermodynamic analysis and multi-objective optimization for irreversible porous medium cycle. The effects of working fluid’s variable-specific heat characteristics, heat transfer, friction and internal irreversibility losses on cycle power density and ecological function characteristics are analyzed. The relationship between power density and ecological function versus compression ratio or thermal efficiency are obtained. When operating in the circumstances of maximum power density, the thermal efficiency of the porous medium cycle engine is higher and its size is less than when operating in the circumstances of maximum power output, and it is also more efficient when operating in the circumstances of maximum ecological function. The four objectives of dimensionless power density, dimensionless power output, thermal efficiency and dimensionless ecological function are optimized simultaneously, and the Pareto front with a set of solutions is obtained. The best results are obtained in two-objective optimization, targeting power output and thermal efficiency, which indicates that the optimal results of the multi-objective are better than that of one-objective.

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“…With the increase in OOs, there may be conflicts among different OOs. In order to coordinate the conflicts among OOs, some scholars used NSGA-II [ 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 ] to perform multi-objective optimization (MOO) for various HEG cycles. Ahmadi et al [ 58 ] studied the applicability of the Stirling-Otto combined cycle and performed MOO on

and

for combined cycle with six decision variables.…”

Section: Introductionmentioning

confidence: 99%

“…Ahmadi et al [ 58 ] studied the applicability of the Stirling-Otto combined cycle and performed MOO on

and

for combined cycle with six decision variables. Zang et al [ 59 , 60 ] studied

of porous media cycles with constant specific-heat [ 59 ] and linear variable-specific-heat [ 60 ], respectively, and carried out MOO on

and

. Xu et al [ 61 ] performed MOO on

and

for Stirling HEG cycle with heat transfer loss and mechanical losses.…”

Section: Introductionmentioning

confidence: 99%

“…Taking the maximum

[ 41 , 42 , 53 , 64 ] as OO, although

of HEGs is sacrificed,

of the HEGs is greatly improved and the

reflects compromise between

and

of the HEGs. MOO [ 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 ] can weigh the conflicts among different OOs and the MOO algorithm can be used to find the optimal solution when multiple OOs coexist, so as to optimize performance of the HEGs. Based on the simple irreversible CGT cycle model established in Refs.…”

Section: Introductionmentioning

confidence: 99%

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Efficient Power Characteristic Analysis and Multi-Objective Optimization for an Irreversible Simple Closed Gas Turbine Cycle

Qiu

Chen

et al. 2022

Entropy

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On the basis of the established irreversible simple closed gas turbine cycle model, this paper optimizes cycle performance further by applying the theory of finite-time thermodynamics. Dimensionless efficient power expression of the cycle is derived. Effects of internal irreversibility (turbine and compressor efficiencies) and heat reservoir temperature ratio on dimensionless efficient power are analyzed. When total heat conductance of two heat exchangers is constant, the double maximum dimensionless efficient power of a cycle can be obtained by optimizing heat-conductance distribution and cycle pressure-ratio. Through the NSGA-II algorithm, multi-objective optimizations are performed on the irreversible closed gas turbine cycle by taking five performance indicators, dimensionless power density, dimensionless ecological function, thermal efficiency, dimensionless efficient power and dimensionless power output, as objective functions, and taking pressure ratio and heat conductance distribution as optimization variables. The Pareto frontiers with the optimal solution set are obtained. The results reflect that heat reservoir temperature ratio and compressor efficiency have greatest influences on dimensionless efficient power, and the deviation indexes obtained by TOPSIS, LINMAP and Shannon Entropy decision-making methods are 0.2921, 0.2921, 0.2284, respectively, for five-objective optimization. The deviation index obtained by Shannon Entropy decision-making method is smaller than other decision-making methods and its result is more ideal.

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Power density characteristic analysis and multi-objective optimization of an irreversible porous medium engine cycle

Cited by 38 publications

References 64 publications

Multi-Objective Optimization for Quantum Rectangular Cycle with Power, Efficiency and Efficient Power

Multi-Objective Optimization for Quantum Rectangular Cycle with Power, Efficiency and Efficient Power

Four-Objective Optimization for an Irreversible Porous Medium Cycle with Linear Variation in Working Fluid’s Specific Heat

Efficient Power Characteristic Analysis and Multi-Objective Optimization for an Irreversible Simple Closed Gas Turbine Cycle

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