Аналіз ефективності й оптимізація технологічних режимів барабанних сушильних установок

Abstract

Issues of technological systems modes optimization for streaming raw materials processing have a significant impact on the enterprises profitability in the chemical, food and metallurgical industries. At present, the task of moving from the profitability requirements to control actions remains actual. The task requires the development of specialized methods. Such methods should use an efficiency factor with evaluating of a technological operation results by a combination of cost estimates of the output product, costs and time. In the paper it is shown the structure of the channel system for raw materials processing should contain blocks for calculating the consumption costs of raw materials, resources and energy for the processing and transporting parts of the station and for calculating the overall efficiency factor. An example of a production line for drying a granular product in a drum furnace with zone and axial burners using different types of fuel is considered. The mutual influence of the line components on its productivity, quality and costs is taken into account. The non-linear form of the efficiency factors expression required modification for use in the dynamic programming method. For optimal mode searching we chose a dynamic programming method that determines the optimal phase trajectory with maximizes the additive criterion formulated for this method. Cost estimation of the trajectory sections was carried out using a computational model. The model describes the dynamic processes in the station. The search for optimal controls was carried out from the end of a possible trajectory to the beginning in a discretized space of phase coordinates. The phase coordinates are the position of the product portion inside the drum, the moisture content of the product; control variables: drum angular velocity, fuel consumption in each burner. A comparison of the efficiency factor values for the found optimal trajectory and efficiency factor values for trajectories with deviations showed the validity of the chosen approach.