There are various analyses for a solar system
with the dish-Stirling technology. One of those analyses is
the finite time thermodynamic analysis by which the total
power of the system can be obtained by calculating the
process time. In this study, the convection and radiation
heat transfer losses from collector surface, the conduction
heat transfer between hot and cold cylinders, and cold side
heat exchanger have been considered. During this
investigation, four objective functions have been optimized
simultaneously, including power, efficiency,
entropy, and economic factors. In addition to the fourobjective
optimization, three-objective, two-objective, and
single-objective optimizations have been done on the dish-
Stirling model. The algorithm of multi-objective particle
swarm optimization (MOPSO) with post-expression of
preferences is used for multi-objective optimizations while
the branch and bound algorithm with pre-expression of
preferences is used for single-objective and multi-objective
optimizations. In the case of multi-objective optimizations
with post-expression of preferences, Pareto optimal front
are obtained, afterward by implementing the fuzzy,
LINMAP, and TOPSIS decision making algorithms, the
single optimum results can be achieved. The comparison
of the results shows the benefits of MOPSO in optimizing
dish Stirling finite time thermodynamic equations.
کلید واژگان :
dish-Stirling, finite time model, branch and bound algorithm, multi-objective particle swarm optimization (MOPSO)
