DESENVOLVIMENTO DE UM CÓDIGO COMPUTACIONAL PARA ESTUDO PARAMETRIZADO DA CARGA TÉRMICA DE UMA CÂMARA FRIGORÍFICA

Abstract

Cold rooms are fundamental equipments for the preservation of perishable foods, guaranteeing the maintenance of the quality of the products in the stages of their processing and distribution. The correct dimensioning of this equipment represents efficiency related to the cooling and freezing performance, as well as the energy efficiency of the system. Thus, this project deals with the development of a computational code on the EES platform (Engineering Equation Solver) to determine the energy consumption of the evaporator unit (thermal load) of a cold room. The cold storage was designed to be installed in the city of Belém do Pará, responsible for storing 5 tons per day of apples and 10 tons per day of pork. The study also presents parameterized results for the thickness of the thermal insulation and the inlet temperature of the products, applying the equations of the thermal load by conduction and the load by the product. The values applied to the parametric variation respect the conditions established by the current technical standards, related to the refrigerated storage of food. It was verified that the discrepancy between the maximum and minimum operation regimes of the cold room, represents a reduction of approximately 20,19% of the energy consumption of the evaporator unit. Thus, it can be concluded that the parameterized study can result in a diagnosis of energy savings for cold storage projects.