Thermo-Economic Assessment and Optimization of Actual Heat Engine Performance by Implemention of NSGA II | ||
| Renewable Energy Research and Applications | ||
| مقاله 11، دوره 1، شماره 2، مهر 2020، صفحه 235-245 اصل مقاله (1006.67 K) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22044/rera.2020.9677.1034 | ||
| نویسندگان | ||
| M. Ghazvini* 1؛ S.M. Pourkiaei2؛ F. Pourfayaz2 | ||
| 1Department of Ocean and Mechanical Engineering, Florida Atlantic University, 777 Glades Road Boca Raton, FL 33431, USA. | ||
| 2Department of Renewable Energies, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran. | ||
| چکیده | ||
| Finding a superior evaluation for an irreversible actual heat engine (irreversible Carnot heat engine) can be mentioned as the substantial purpose of this study. To obtain this purpose, the considered criteria are Ecological Coefficient of Performance (ECOP), exergetic performance coefficient thermo-economic, ecological-based thermo-economic, and ecologico-economical functions. These criteria are optimized by implementing NSGA II and thermodynamic analysis. Irreversibilities of the system is considered for the study assessment, consequently, two states are specified in the optimization procedure. The findings associated with every scheme are assessed independently. In the first scenario, maximizing the power output, First law efficiency of the system, and dimensionless ecological-based thermo-economic function ( ) is set as the target. In the second scenario, the three objective functions such as power output ( ), efficiency ( ) and dimensionless ecologico-economical ( ) are simultaneously maximized. To be clear, the coupled of multi-objective evolutionary approaches (MOEAs) and non-dominated sorting genetic algorithm (NSGA-II) approach are presented. The comparison of three prominent approaches such as: LINAMP, TOPSIS, and FUZZY performs in decision making. Ultimately, error analyses of results based on Maximum Absolute Percentage Error are carried out. According to the results, in the first scenario, the appropriate results were the result of the decisions made by TOPSIS and LINAMP, with a deviation index equal to 0.322 from the ideal ratio of this scenario. In the second scenario, the best decision-making results were achieved by the TOPSIS method, with a deviation index equal to 0.104 from the ideal state for this scenario. | ||
| کلیدواژهها | ||
| Ecological Coefficient of Performance؛ ecological-based thermoeconomic function؛ exergetic performance coefficient thermoeconomic؛ Optimization؛ Decision making | ||
| مراجع | ||
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