Fuzzy Model for Predicting the Energy Consumption of Alumina Production

2022

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DOI 10.1109/icieam54945.2022.9787217
Data confidence 70 medium
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Abstract

There are a number of energy-intensive industrial productions in the world's energy systems. Unstable functioning of such industries leads to load fluctuations in the power system. At the same time, the instability of each specific industrial production may be dictated by market requirements. The article discusses one of the methods of solving this problem. The method is based on the creation of a model for predicting the energy consumption of one of such energy-intensive industries: alumina production, raw materials of electrolytic aluminum production. This production has the properties of non-linearity, inertia and closure. Even a slight change in the operating parameters of this production can lead to very serious changes in its energy consumption. The model is based on the principle of deterministic modeling using fuzzy set theory. As a result, the model can determine the values of material flows in production and its energy consumption under the existing regime. and also calculate the hourly change in production parameters, including energy consumption, with any change in the mode. The article presents graphs of the simulated processes, as well as proof of the effectiveness of the proposed model.