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ENCIT 2022
19th Brazilian Congress of Thermal Sciences and Engineering
Optimization and parametric analysis in a recuperative heat exchanger.
Submission Author:
Diego de Lima Sousa , RN
Co-Authors:
Diego de Lima Sousa, Wellington Balmant, Flávio Júnior Santiago Silva, Iago Gomes Costa, JOSÉ VIRIATO COELHO VARGAS
Presenter: Diego de Lima Sousa
doi://10.26678/ABCM.ENCIT2022.CIT22-0419
Abstract
As time passes, the level of complexity of the systems that are part of cars, aircraft and other elements that make up the lives of citizens in large cities grows in order to meet the new stricter rules in the environmental appeal. with low cost and high energy efficiency. Mathematical modeling together with simulation and optimization emerge as an extremely important tool in this scenario, as it can provide good results from low initial investments when compared to a purely experimental approach in the design of new devices. Heat exchangers are widely used in the most diverse areas of society, as it consists of equipment whose main objective is to facilitate the thermal exchange between two or more fluids that can be used in a range of different applications. In this way, the design and parametric optimization of such devices in order to obtain maximum performance, from the maximum reduction of entropy generation and maximization of energy efficiency, are of paramount importance when it comes to the production and development of new heat exchanger projects that adapt to new trends in terms of the environment and energy efficiency. The simulation of these systems takes place under a broad set of operating parameters, such as mass flow and line pressure, as well as geometric parameters, such as pipe diameter and pipe position. Thus, the optimization step may become unfeasible if the number of parameters is too high, which implies computational times that are impractical for the purposes of the project. Given the above, it is often necessary to introduce simplifying considerations and hypotheses in order to reduce the number of variables or terms in the equations without significant loss of translation of the physics of the problem. Thus, reduced-order models, which constitute an intermediate approach when compared to low- and high-order methods, can be used as a mathematical modeling tool without a significant loss of precision in the results. The present work presents an optimization and parametric analysis of a recuperative heat exchanger using a reduced-order approach employing the volume element model (VEM) as a discretization method, which is capable of providing accurate results at low costs. computational. The Laws of Conservation of Mass and Energy are applied to volume elements in combination with empirical correlations in order to quantify the quantities of interest, such as the convection heat transfer coefficient and temperature distribution.
Keywords
recuperative heat exchanger, Parametric analysis, Volume Element Method (VEM)
