Abstract
In last decades, nano technology was developed. Since, nano scale thermal cycles will be possibly employed in near future. In this research, a nano scale irreversible dual cycle is investigated thermodynamically for optimization of performance. Ideal Maxwell-Boltzmann gas is used for working fluid in the system. It is chosen as working fluid. In this paper, two scenarios are introduced for optimization process. The outcomes of each of the scenarios are evaluated independently. Throughout first scenario, in order to maximize the dimensionless output work and first law efficiency of the system, multi-objective optimization algorithms are employed. Furthermore, in second scenario, two objective functions comprising the dimensionless output work are the dimensionless ecological function are maximized concurrently via employing multi objective optimization algorithms. The multi objective evolutionary approaches (MOEAs) on the basis of NSGA-II method are employed in this paper Decision making is done via three methods including LINAMP and TOPSIS and FUZZY. Finally, error analysis is implemented on the results obtained in this research
Highlights
ECF = W − T0Sgen, where W is defined as the output work, T0 as environment temperature and Sgen as entropy generation
Chen et al [5] performed an optimization for generalized irreversible universal heat-engine cycles based on power, efficiency, entropy generation rate and ecological function
Using multi objective evolutionary approaches (MOEAs) based on the NSGA-II algorithm, the first law efficiency of the system (η) and the dimensionless output work (w) are maximized simultaneously
Summary
ECF = W − T0Sgen, where W is defined as the output work, T0 as environment temperature and Sgen as entropy generation. Ex T0 Sgen where Ex is output exergy of the system or W ECOP =. T0Sgen where W is the output power and Sgen is entropy generation. Chen et al [5] performed an optimization for generalized irreversible universal heat-engine cycles based on power, efficiency, entropy generation rate and ecological function.
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