Four-Objective Optimization of Irreversible Atkinson Cycle Based on NSGA-II
Variation trends of dimensionless power density (PD) with a compression ratio and thermal efficiency (TE) are discussed according to the irreversible Atkinson cycle (AC) model established in previous literature. Then, for the fixed cycle temperature ratio, the maximum specific volume ratios, the max...
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MDPI AG
2020-10-01
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| Online Access: | https://www.mdpi.com/1099-4300/22/10/1150 |
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| author | Shuangshuang Shi Yanlin Ge Lingen Chen Huijun Feng |
| author_facet | Shuangshuang Shi Yanlin Ge Lingen Chen Huijun Feng |
| author_sort | Shuangshuang Shi |
| collection | DOAJ |
| description | Variation trends of dimensionless power density (PD) with a compression ratio and thermal efficiency (TE) are discussed according to the irreversible Atkinson cycle (AC) model established in previous literature. Then, for the fixed cycle temperature ratio, the maximum specific volume ratios, the maximum pressure ratios, and the TEs corresponding to the maximum power output (PO) and the maximum PD are compared. Finally, multi-objective optimization (MOO) of cycle performance with dimensionless PO, TE, dimensionless PD, and dimensionless ecological function (EF) as the optimization objectives and compression ratio as the optimization variable are performed by applying the non-dominated sorting genetic algorithm-II (NSGA-II). The results show that there is an optimal compression ratio which will maximize the dimensionless PD. The relation curve of the dimensionless PD and compression ratio is a parabolic-like one, and the dimensionless PD and TE is a loop-shaped one. The AC engine has smaller size and higher TE under the maximum PD condition than those of under the maximum PO condition. With the increase of TE, the dimensionless PO will decrease, the dimensionless PD will increase, and the dimensionless EF will first increase and then decrease. There is no positive ideal point in Pareto frontier. The optimal solutions by using three decision-making methods are compared. This paper analyzes the performance of the PD of the AC with three losses, and performs MOO of dimensionless PO, TE, dimensionless PD, and dimensionless EF. The new conclusions obtained have theoretical guideline value for the optimal design of actual Atkinson heat engine. |
| first_indexed | 2024-03-10T15:40:57Z |
| format | Article |
| id | doaj.art-f0f4a81010f14b31b1564e43e3797398 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-10T15:40:57Z |
| publishDate | 2020-10-01 |
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| spelling | doaj.art-f0f4a81010f14b31b1564e43e37973982023-11-20T16:54:26ZengMDPI AGEntropy1099-43002020-10-012210115010.3390/e22101150Four-Objective Optimization of Irreversible Atkinson Cycle Based on NSGA-IIShuangshuang Shi0Yanlin Ge1Lingen Chen2Huijun Feng3Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, ChinaInstitute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, ChinaInstitute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, ChinaInstitute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, ChinaVariation trends of dimensionless power density (PD) with a compression ratio and thermal efficiency (TE) are discussed according to the irreversible Atkinson cycle (AC) model established in previous literature. Then, for the fixed cycle temperature ratio, the maximum specific volume ratios, the maximum pressure ratios, and the TEs corresponding to the maximum power output (PO) and the maximum PD are compared. Finally, multi-objective optimization (MOO) of cycle performance with dimensionless PO, TE, dimensionless PD, and dimensionless ecological function (EF) as the optimization objectives and compression ratio as the optimization variable are performed by applying the non-dominated sorting genetic algorithm-II (NSGA-II). The results show that there is an optimal compression ratio which will maximize the dimensionless PD. The relation curve of the dimensionless PD and compression ratio is a parabolic-like one, and the dimensionless PD and TE is a loop-shaped one. The AC engine has smaller size and higher TE under the maximum PD condition than those of under the maximum PO condition. With the increase of TE, the dimensionless PO will decrease, the dimensionless PD will increase, and the dimensionless EF will first increase and then decrease. There is no positive ideal point in Pareto frontier. The optimal solutions by using three decision-making methods are compared. This paper analyzes the performance of the PD of the AC with three losses, and performs MOO of dimensionless PO, TE, dimensionless PD, and dimensionless EF. The new conclusions obtained have theoretical guideline value for the optimal design of actual Atkinson heat engine.https://www.mdpi.com/1099-4300/22/10/1150Atkinson cyclepower outputpower densitythermal efficiencyecological functionfinite time thermodynamics |
| spellingShingle | Shuangshuang Shi Yanlin Ge Lingen Chen Huijun Feng Four-Objective Optimization of Irreversible Atkinson Cycle Based on NSGA-II Entropy Atkinson cycle power output power density thermal efficiency ecological function finite time thermodynamics |
| title | Four-Objective Optimization of Irreversible Atkinson Cycle Based on NSGA-II |
| title_full | Four-Objective Optimization of Irreversible Atkinson Cycle Based on NSGA-II |
| title_fullStr | Four-Objective Optimization of Irreversible Atkinson Cycle Based on NSGA-II |
| title_full_unstemmed | Four-Objective Optimization of Irreversible Atkinson Cycle Based on NSGA-II |
| title_short | Four-Objective Optimization of Irreversible Atkinson Cycle Based on NSGA-II |
| title_sort | four objective optimization of irreversible atkinson cycle based on nsga ii |
| topic | Atkinson cycle power output power density thermal efficiency ecological function finite time thermodynamics |
| url | https://www.mdpi.com/1099-4300/22/10/1150 |
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