Performance Optimizations with Single-, Bi-, Tri-, and Quadru-Objective for Irreversible Diesel Cycle

Applying finite time thermodynamics theory and the non-dominated sorting genetic algorithm-II (NSGA-II), thermodynamic analysis and multi-objective optimization of an irreversible Diesel cycle are performed. Through numerical calculations, the impact of the cycle temperature ratio on the power densi...

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Main Authors: Shuangshuang Shi, Lingen Chen, Yanlin Ge, Huijun Feng
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/23/7/826
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author Shuangshuang Shi
Lingen Chen
Yanlin Ge
Huijun Feng
author_facet Shuangshuang Shi
Lingen Chen
Yanlin Ge
Huijun Feng
author_sort Shuangshuang Shi
collection DOAJ
description Applying finite time thermodynamics theory and the non-dominated sorting genetic algorithm-II (NSGA-II), thermodynamic analysis and multi-objective optimization of an irreversible Diesel cycle are performed. Through numerical calculations, the impact of the cycle temperature ratio on the power density of the cycle is analyzed. The characteristic relationships among the cycle power density versus the compression ratio and thermal efficiency are obtained with three different loss issues. The thermal efficiency, the maximum specific volume (the size of the total volume of the cylinder), and the maximum pressure ratio are compared under the maximum power output and the maximum power density criteria. Using NSGA-II, single-, bi-, tri-, and quadru-objective optimizations are performed for an irreversible Diesel cycle by introducing dimensionless power output, thermal efficiency, dimensionless ecological function, and dimensionless power density as objectives, respectively. The optimal design plan is obtained by using three solution methods, that is, the linear programming technique for multidimensional analysis of preference (LINMAP), the technique for order preferences by similarity to ideal solution (TOPSIS), and Shannon entropy, to compare the results under different objective function combinations. The comparison results indicate that the deviation index of multi-objective optimization is small. When taking the dimensionless power output, dimensionless ecological function, and dimensionless power density as the objective function to perform tri-objective optimization, the LINMAP solution is used to obtain the minimum deviation index. The deviation index at this time is 0.1333, and the design scheme is closer to the ideal scheme.
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spelling doaj.art-6b16b4640b694e43b4ebbfbf6fe20b352023-11-22T02:05:36ZengMDPI AGEntropy1099-43002021-06-0123782610.3390/e23070826Performance Optimizations with Single-, Bi-, Tri-, and Quadru-Objective for Irreversible Diesel CycleShuangshuang Shi0Lingen Chen1Yanlin Ge2Huijun 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, ChinaApplying finite time thermodynamics theory and the non-dominated sorting genetic algorithm-II (NSGA-II), thermodynamic analysis and multi-objective optimization of an irreversible Diesel cycle are performed. Through numerical calculations, the impact of the cycle temperature ratio on the power density of the cycle is analyzed. The characteristic relationships among the cycle power density versus the compression ratio and thermal efficiency are obtained with three different loss issues. The thermal efficiency, the maximum specific volume (the size of the total volume of the cylinder), and the maximum pressure ratio are compared under the maximum power output and the maximum power density criteria. Using NSGA-II, single-, bi-, tri-, and quadru-objective optimizations are performed for an irreversible Diesel cycle by introducing dimensionless power output, thermal efficiency, dimensionless ecological function, and dimensionless power density as objectives, respectively. The optimal design plan is obtained by using three solution methods, that is, the linear programming technique for multidimensional analysis of preference (LINMAP), the technique for order preferences by similarity to ideal solution (TOPSIS), and Shannon entropy, to compare the results under different objective function combinations. The comparison results indicate that the deviation index of multi-objective optimization is small. When taking the dimensionless power output, dimensionless ecological function, and dimensionless power density as the objective function to perform tri-objective optimization, the LINMAP solution is used to obtain the minimum deviation index. The deviation index at this time is 0.1333, and the design scheme is closer to the ideal scheme.https://www.mdpi.com/1099-4300/23/7/826irreversible Diesel cyclepower outputthermal efficiencyecological functionpower densityfinite time thermodynamics
spellingShingle Shuangshuang Shi
Lingen Chen
Yanlin Ge
Huijun Feng
Performance Optimizations with Single-, Bi-, Tri-, and Quadru-Objective for Irreversible Diesel Cycle
Entropy
irreversible Diesel cycle
power output
thermal efficiency
ecological function
power density
finite time thermodynamics
title Performance Optimizations with Single-, Bi-, Tri-, and Quadru-Objective for Irreversible Diesel Cycle
title_full Performance Optimizations with Single-, Bi-, Tri-, and Quadru-Objective for Irreversible Diesel Cycle
title_fullStr Performance Optimizations with Single-, Bi-, Tri-, and Quadru-Objective for Irreversible Diesel Cycle
title_full_unstemmed Performance Optimizations with Single-, Bi-, Tri-, and Quadru-Objective for Irreversible Diesel Cycle
title_short Performance Optimizations with Single-, Bi-, Tri-, and Quadru-Objective for Irreversible Diesel Cycle
title_sort performance optimizations with single bi tri and quadru objective for irreversible diesel cycle
topic irreversible Diesel cycle
power output
thermal efficiency
ecological function
power density
finite time thermodynamics
url https://www.mdpi.com/1099-4300/23/7/826
work_keys_str_mv AT shuangshuangshi performanceoptimizationswithsinglebitriandquadruobjectiveforirreversibledieselcycle
AT lingenchen performanceoptimizationswithsinglebitriandquadruobjectiveforirreversibledieselcycle
AT yanlinge performanceoptimizationswithsinglebitriandquadruobjectiveforirreversibledieselcycle
AT huijunfeng performanceoptimizationswithsinglebitriandquadruobjectiveforirreversibledieselcycle