Climate change and the growing demand for fossil fuels have encouraged researchers to provide more efficient engineering solutions for waste heat recovery in the industrial sector. The heat transfer between the exhaust gas and the thermal oil fluid in the concentric tube heat exchanger implies heat transfer irreversibility and high investment costs, which have been considered as objective functions to be minimized in this study. Therefore, the main objective of this article is to present the multi-objective optimization results applied to a concentric tube heat exchanger integrated to a GE Jenbacher turbocharged engine type 6, in which genetic algorithms are used to generate multiple solutions to the problem, choosing the best option through the Multiple-criteria decision technique known as TOPSIS. The CAD of the device has been recreated using the SolidWorks software, and the computational fluid dynamics (CFD) model has been made with the open-source tool OpenFOAM. The geometric configuration selected allows energy recovery, with a purchase equipment cost, and its entropy generation number (NGE), using Therminol-75 as thermal oil to exchange heat with the engine exhaust gases. This type of result provides the insertion of this equipment to the industrial sector because of the increase in the overall thermal efficiency of the natural gas engine.
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