الفهرس | Only 14 pages are availabe for public view |
Abstract The rationalization of energy consumption is one of the most important global challenges in recent times due to the decline in resources, the high consumption of energy, and the high pollution output day after day. The industry’s top priorities are to increase efficiency, reduce energy consumption and reduce emissions. Additionally, meet product quality requirements, reduce costs and consumption, and achieve efficient and environmentally friendly production. Heat exchangers are widely used in industrial applications such as chemical processing systems, waste heat recovery units, power plants, food processing systems, air conditioning, refrigeration, and heating systems. A heat exchanger is an intermediate thermal device that allows heat to be transferred between two or more liquids of different temperatures. One fluid gains heat as it passes through the exchanger, and the other fluid loses it. Among these heat exchangers, the shell and tube heat exchanger (STHX) are the most widely used type due to its ease of maintenance, versatility and resistance to high temperature and pressure. In this study, a new approach is developed to improve the design of the casing and tube heat exchanger by applying the genetic algorithm (GA) to obtain the optimal design from the performance point of view. The main objective is to develop and test a model to improve the early design stage of the casing and tube heat exchanger and solve the design problem. The GA is applied to the OKG 33/244 type oil cooler, to maximize the heat transfer rate while minimizing the pressure DROP and the results are compared with the original data of the heat exchanger with casing and tube. The simulation results reveal that the operational performance of the casing is improved, indicating that the GA can be used successfully to improve the design of the STHX from a performance point of view. The maximum increase in effectiveness is 57% using the GA, while the minimum increase is 47%. Furthermore, the average heat exchanger effectiveness is 55%, and the number of transfer units (NTUs) has been improved from 0.475319 to 1.825664 using the GA. |