Affiliation:
1. Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology , Wuhan , 430205 , P.R. China
2. Hubei Provincial Engineering Technology Research Center of Green Chemical Equipment , Wuhan 430205 , P.R. China
3. School of Mechanical & Electrical Engineering, Wuhan Institute of Technology , Wuhan , 430205 , P.R. China
Abstract
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 (T
2) of cycle compression process as the optimization variable and the thermal efficiency (η), the dimensionless efficient power (
E
̄
P
${\bar{E}}_{P}$
), the dimensionless ecological function (
E
̄
$\bar{E}$
) and the dimensionless power (
P
̄
$\bar{P}$
) as the optimization objectives, the influences of T
2 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 T
2,
P
̄
$\bar{P}$
descends, η ascends, both
E
̄
$\bar{E}$
and
E
̄
P
${\bar{E}}_{P}$
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.
Funder
National Natural Science Foundation of China
Wuhan Institute of Technology
Subject
General Physics and Astronomy,General Chemistry
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