Aplicação de algoritmos evolutivos para otimização de sistemas de refrigeração industrial

Abstract

This work describes the development of a prototype software for control of industrial refrigeration systems using evolutive algorithms. A control of any system can be classified into three categories: preventive, simultaneous and subsequent. The BRF - Margarine Factory offered an opportunity to make this work. A form of preventive temperature control is attempted: with the production plan and the payment of ammonia tablets on hand, the problem for modeling for use in a evolutive algorithm. Thus, it is not only the best possible for compressors for the production of carbon dioxide but also the electric consumption of those compressors, to predict an electric demand and to verify the amount of refrigerant that is being lost in the process.