THERMO-ENVIRONMENTAL ANALYSIS AND MULTI-OBJECTIVE OPTIMIZATION OF PERFORMANCE OF ERICSSON ENGINE IMPLEMENTING AN EVOLUTIONARY ALGORITHM

Yıl 2019, , 319 - 340, 24.06.2019

Mohammad Hossein Ahmadi

https://doi.org/10.18186/thermal.582010

Cited By: 6

Öz

This paper makes attempt to optimize a
high-temperature differential Ericsson engine with several conditions. A
mathematical approach based on the finite-time thermodynamic was proposed with
the purpose of gaining thermal efficiency, the output power and the entropy
generation rate throughout the Ericsson system with regenerative heat loss,
finite rate of heat transfer, finite regeneration process time and conductive
thermal bridging loss. In this study, an irreversible Ericsson engine is
analyzed thermodynamically in order to optimize its performance. In addition,
three Scenarios in multi-objective optimization are presented and the results
of them are assessed individually. The first strategy is proposed to maximize
the Ecological function, the thermal efficiency and the Exergetic performance
criteria. Furthermore, the second strategy is suggested to maximize the
Ecological function, the thermal efficiency and Ecological coefficient of
performance. The third strategy is proposed to maximize the Ecological function
and the thermal efficiency and Dimensionless ecological based
thermo-environmental function. 
Multi-objective evolutionary algorithms based on NSGA-II algorithm was
applied to the aforementioned system for calculating the optimum values of
decision variables. Decision variables considered in this paper including the
regenerator’s effectiveness, the high-temperature heat exchanger’s
effectiveness, the low-temperature heat exchanger’s effectiveness, the working
fluid temperature in the low-temperature isothermal process and the working
fluid temperature in the high-temperature isothermal process. Moreover, Pareto
optimal frontier was achieved and an ultimate optimum answer was chosen via
three competent decision makers comprising LINMAP, fuzzy Bellman-Zadeh, and
TOPSIS approaches. The results from scenarios shown that third scenario is the
best scenario.

Anahtar Kelimeler

Evolutionary Algorithms, Decision-Making, Thermodynamic Analysis, Multi-Objective Optimization, Entropy Generation, Ericsson Engine

Kaynakça

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