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- Title
Multi-objective optimization of an endoreversible closed Atkinson cycle.
- Authors
Gong, Zheng; Ge, Yanlin; Chen, Lingen; Feng, Huijun
- Abstract
Based on finite-time-thermodynamic theory and the model established in previous literature, the multi-objective optimization analysis for an endoreversible closed Atkinson cycle is conducted through using the NSGA-II algorithm. With the final state point temperature (T2) of cycle compression process as the optimization variable and the thermal efficiency (η), the dimensionless efficient power ( E ̄ P ), the dimensionless ecological function ( E ̄ ) and the dimensionless power ( P ̄ ) as the optimization objectives, the influences of T2 on the four optimization objectives are analyzed, multi-objective optimization analyses of single-, two-, three- and four-objective are conducted, and the optimal cycle optimization objective combination is chosen by using three decision-making methods which include LINMAP, TOPSIS, and Shannon Entropy. The result shows that when four-objective optimization is conducted, with the ascent of T2, P ̄ descends, η ascends, both E ̄ and E ̄ P firstly ascend and then descend. In this situation, the deviation index is the smallest and equals to 0.2657 under the decision-making method of Shannon Entropy, so its optimization result is the optimal. The multi-objective optimization results are able to provide certain guidelines for the design of practical closed Atkinson cycle heat engine.
- Subjects
UNCERTAINTY (Information theory); HEAT engines; TOPSIS method; MODEL theory; THERMAL efficiency
- Publication
Journal of Non-Equilibrium Thermodynamics, 2024, Vol 49, Issue 1, p73
- ISSN
0340-0204
- Publication type
Article
- DOI
10.1515/jnet-2023-0051