Thermodynamic Assessment and Multi-Objective Optimization of Performance of Irreversible Dual-Miller Cycle

Shahriyar Abedinnezhad, Mohammad Hossein Ahmadi, Seyed Mohsen Pourkiaei, Fathollah Pourfayaz, Amir Mosavi, Michel Feidt and Shahaboddin Shamshirband
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Shahriyar Abedinnezhad: Department of Aerospace Engineering, Sharif University of Technology, Tehran, Iran
Mohammad Hossein Ahmadi: Faculty of Mechanical Engineering, Shahrood University of Technology, Shahrood, Iran
Seyed Mohsen Pourkiaei: Department of Renewable Energy and Environmental Engineering, University of Tehran, Tehran, Iran
Fathollah Pourfayaz: Department of Renewable Energy and Environmental Engineering, University of Tehran, Tehran, Iran
Amir Mosavi: Kalman Kando Faculty of Electrical Engineering, Obuda University, Budapest 1034, Hungary
Michel Feidt: University of Lorraine, LEMTA, 2 avenue de la forêt de Haye 54516 Vandoeuvre les Nancy, France
Shahaboddin Shamshirband: Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam

Energies, 2019, vol. 12, issue 20, 1-25

Abstract: 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 ( E u n ) 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 E u n 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 E u n 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.

Keywords: Dual-Miller cycle; thermodynamic analysis; power; ecological coefficient of performance; thermal efficiency; energy; entropy generation; multi-objective optimization (MOO); multi-criteria decision making (MCDM); soft computing; genetic algorithm; finite-time thermoeconomic (FTT) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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