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Thermodynamic assessment and multi-objective optimization of performance of irreversible dual-miller cycle

Abedinnezhad, S ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.3390/en12204000
  3. Publisher: MDPI AG , 2019
  4. Abstract:
  5. In this study, a new series of assessments and evaluations of the Dual-Miller cycle is performed. Furthermore, the specified output power and the thermal performance associated with the engine are determined. Besides, multi-objective optimization of thermal efficiency, ecological coefficient of performance (ECOP) and ecological function (Eun) by means of NSGA-II technique and thermodynamic analysis are presented. The Pareto optimal frontier obtaining the best optimum solution is identified by fuzzy Bellman-Zadeh, Linear Programming Technique for Multidimensional Analysis of Preference (LINMAP), and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) decision-making techniques. Based on the results, performances of dual-Miller cycles and their optimization are improved. For the results of the condition that (n < k) the best point has been LINMAP answer. The thermal efficiency for this point has been 0.5388. In addition, ECOP and Eun have been 1.6899 and 279.221, respectively. For the results of the condition that (n > k) the best point has been LINMAP and TOPSIS answer. The thermal efficiency for this point has been 0.5385. Also, ECOP and Eun have been 1.6875 and 279.7315, respectively. Furthermore, the errors are examined through comparison of the average and maximum errors of the two scenarios. © 2019 by the authors
  6. Keywords:
  7. Dual-Miller cycle ; Ecological coefficient of performance ; Finite-time thermoeconomic (FTT) ; Genetic algorithm ; Multi-criteria decision making (MCDM) ; Multi-objective optimization (MOO) ; Soft computing ; Thermodynamic analysis ; Coefficient of performance ; Decision making ; Ecology ; Entropy ; Genetic algorithms ; Linear programming ; Pareto principle ; Thermoanalysis ; Energy ; Entropy generation ; Miller cycle ; Multi-criteria decision making ; Power ; Thermal efficiency ; Thermo dynamic analysis ; Thermo-economic ; Multiobjective optimization
  8. Source: Energies ; Volume 12, Issue 20 , 2019 ; 19961073 (ISSN)
  9. URL: https://iopscience.iop.org/article/10.1088/1751-8121/ab3932