Design Optimization of Radiation Recuperators Using Genetic Algorithm

In this study, the use of Genetic Algorithm in the optimal sizing of the radiation recuperators with counter flow arrangement is presented toachieve minimum cost of construction,operation. The radiation recuperators are extensively used to heat recovery,air preheating in hightemperature industrial furnaces. In this paper, the thermal calculations of recuperator are done with regard to radiation,based on thelogarithmic mean temperature difference method. The total annual cost which is the sum of the capital cost of the device,the operating cost asthe objective function is used to determine the optimal geometric dimensions of the radiation recupeartors for given a heat duty. The optimalgeometric dimensions of recuperator are determined by using genetic algorithm based on evolutionary optimization methods which the total costis minimized. To confirm the results found in this study, the methodology is applied to some case studies .The results show that the proposedmethod can be implemented as a more efficient method of traditional trial,error process in the economic optimal design of the radiationrecuperators with specific heat duty.