The paper presents the main methods of energy optimization of the purification processes, by implementing computer-based technologies. Both the process control possibilities using fuzzy logic, for situations where the process model is not very certain, but it must be well known, as well as the use of feed-forward artificial neural networks trained by the back-propagation method using the learning mechanism are reviewed and supervised (using the Matlab program).
In the present paper, the main concerns regarding the purification processes of wastewater from the textile industry containing nitrogen-type dyes are reviewed, and a method for the biological purification of these waters is developed. After consulting the results of the research in this field of wastewater treatment worldwide, a series of effective methods, described in the first chapter of this paper can be taken as positive examples. Following that, some methods of biological treatment of textile and leather industry wastewater are proposed, such as the inclusion of a biological treatment step using a fixed bed reactor. At the conclusion of this paper, recommendations are made for textile fabric operative industry, which are useful in biological contact processes. Biomass support panels, with limited flexibility and substantial surface expansion, with or without frames, form a variety of biomass support elements (textile fabric or otherwise), which can contain biological purification processes through the biomass panels.
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