Abstract Due to the increasing energy needs an‎d exposure to pollution from fossil fuels, as well as the end of fossil fuels, solar energy is considered as one of the unlimited an‎d clean natural resources that can be used as a sustainable alternative to conventional fuels in energy production. In the current situation of fossil fuel consumption on Earth, the need to use solar collectors with new geometries as clean energy in residential an‎d industrial buildings has been considered as a necessity. On the other han‎d, the study of increasing the efficiency of collectors an‎d condensers is also a concern of researchers. Considering that the collector an‎d condenser are considered to be the most important components of the cycles related to heat pumps, in this research the effect of using the collector an‎d condenser on the thermal efficiency of these elements will be investigated an‎d then by applying optimization algorithms based on ran‎dom search methods such as the genetic algorithm method, the goals of improving thermal efficiency an‎d reducing the pressure dro‎p of the working fluid will be pursued. The collectors an‎d condenser have been selec‎ted for optimization in this section after simulation. The length, diameter an‎d thickness of the pulsating flow carrier plate in different ranges can be selec‎ted for optimization. In this research, the amount of increase in the thermal efficiency of the pulsating nanofluid flow carrier collector is introduced as the first objective function for maximization. The selec‎tion of the efficiency variable as the design objective is due to the fact that, according to the cycle formulation analysis, improving the overall efficiency depends on improving the temperature values at the collector outlet section an‎d reducing the outlet temperature from the condenser. The second objective parameter is the pressure dro‎p values, which must be minimized. The use of pulsating flow due to its intermittent nature can have a negative impact on the supply of hot water for consumption, for this reason, optimization should be implemented in such a way that there is a minimum pressure dro‎p in the collector an‎d condenser components. In this optimization problem, an attempt is made to increase the overall efficiency of the cycle an‎d reduce the pressure dro‎p of the pulsating flow simultaneously. The variables considered for the collector an‎d condenser will be the length, diameter, an‎d thickness of the pipes carrying the pulse flow. The optimization method is as follows: in the first step, design variables are selec‎ted using intelligent variable selec‎tion. Then, using an algebraic polynomial with a certain degree, objective functions are constructed based on the design variables. Due to the multi-objective nature of the problem, four single-objective constrained methods, the optimal weight method, the geometric mean, an‎d MDO will be used to formulate the multi-objective problem. Finally, the optimal results for the collector an‎d condenser geometry of the cycle will be analyzed using the genetic algorithm method an‎d the optimal points will be selec‎ted.

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بهمن اسدي , حميدرضا عبدالمحمدي