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

Energies

Shahaboddin Shamshirband¹  Shahriyar Abedinnezhad²  SeyedMohsen Pourkiaei³  Fathollah Pourfayaz³  MohammadHossein Ahmadi⁴  Amir Mosavi⁵  Michel Feidt⁶ 

[1] Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam;Department of Aerospace Engineering, Sharif University of Technology, Tehran, Iran;Department of Renewable Energy and Environmental Engineering, University of Tehran, Tehran, Iran;Faculty of Mechanical Engineering, Shahrood University of Technology, Shahrood, Iran;Kalman Kando Faculty of Electrical Engineering, Obuda University, Budapest 1034, Hungary;University of Lorraine, LEMTA, 2 avenue de la forêt de Haye 54516 Vandoeuvre les Nancy, France;

关键词: 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);   

DOI  :  10.3390/en12204000

来源: DOAJ

【 摘 要 】

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 ( $E_{un}$ ) 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 $E_{un}$ 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 $E_{un}$ 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.

【 授权许可】

Unknown