Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5102758 | Physica A: Statistical Mechanics and its Applications | 2017 | 45 Pages |
Abstract
The motivation behind this work is to explore a nanoscale irreversible Stirling refrigerator with respect to size impacts and shows two novel thermo-ecological criteria. Two distinct strategies were suggested in the optimization process and the consequences of every strategy were examined independently. In the primary strategy, with the purpose of maximizing the energetic sustainability index and modified the ecological coefficient of performance (MECOP) and minimizing the dimensionless Ecological function, a multi-objective optimization algorithm (MOEA) was used. In the second strategy, with the purpose of maximizing the ECOP and MECOP and minimizing the dimensionless Ecological function, a MOEA was used. To conclude the final solution from each strategy, three proficient decision makers were utilized. Additionally, to quantify the deviation of the results gained from each decision makers, two different statistical error indexes were employed. Finally, based on the comparison between the results achieved from proposed scenarios reveals that by maximizing the MECOP the maximum values of ESI, ECOP, and a minimum of ecfare achieved.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Mohammad H. Ahmadi, Mohammad Amin Nabakhteh, Mohammad-Ali Ahmadi, Fathollah Pourfayaz, Mokhtar Bidi,