Flow Detection Module—A New Model to Predict the Flow in Open Pit Anode Baking Furnaces

Autor: Frank Heinke, Detlef Maiwald, Florian Krummrich, Domenico Di Lisa
Rok vydání: 2017
Předmět:
Zdroj: Light Metals 2017 ISBN: 9783319515403
DOI: 10.1007/978-3-319-51541-0_150
Popis: A continuous measurement of the flow inside the flues of baking furnaces is still a challenge that has not been solved. As a substitute, the draft is measured in one position of each flue to determine the existence of a volume or flow. Knowing the real flow would be of the essence for a more accurate and optimized control of the combustion inside the furnace. A mathematical model for flow detection, based on fuzzy logics was developed to determine the actual flow in each flue. With the introduction of this flow detection module, each flue in a furnace is continuously evaluated. The on-line mathematical model calculates the actual flow in each flue by correlation of the relevant process data available in the firing system. As a result, the baking process is further optimized for lowest emissions and best fuel efficiency. The paper illustrates the mathematical approach and shows the results.
Databáze: OpenAIRE