Title

INTRODUCING RUSSULA ́S MATHEMATICAL MODEL FOR REHEATING FURNACES

INTRODUCING RUSSULA ́S MATHEMATICAL MODEL FOR REHEATING FURNACES

Authorship

Casanova, José Luis

DOI

10.5151/2594-5297-20503

Downloads

heading.download_article_detail 60 Downloads

Abstract

Russula has developed and implemented a mathematical model for reheating furnaces jointly with Vigo University. The furnace model gives a good estimation of material heating inside the furnace and is used to adjust heating requirements to optimize furnace combustion. This model is currently in operation at two furnaces after undergoing testing and validation. The model complements the existing Russula reheating control modules including Level 1 control for combustion and logic, Level 2 for heating strategies and delay multipliers and a pyrometer feedback module. ArcelorMittal ́s Vinton plant in Texas reduced energy consumption by 15.4%, from 1.5 M to 1.3 M Btu ́s per ton after implementing Russula ́s Level 2 furnace control. The complete set of Russula reheating furnace control programs result in effective furnace control, improving heating effectiveness and heating gas consumptions. Short pay-back times are obtained due to the effectiveness of furnace gas consumption reduction; reducing the cost per produced ton and results in an environmental impact by reducing atmospheric emissions.

 

Russula has developed and implemented a mathematical model for reheating furnaces jointly with Vigo University. The furnace model gives a good estimation of material heating inside the furnace and is used to adjust heating requirements to optimize furnace combustion. This model is currently in operation at two furnaces after undergoing testing and validation. The model complements the existing Russula reheating control modules including Level 1 control for combustion and logic, Level 2 for heating strategies and delay multipliers and a pyrometer feedback module. ArcelorMittal ́s Vinton plant in Texas reduced energy consumption by 15.4%, from 1.5 M to 1.3 M Btu ́s per ton after implementing Russula ́s Level 2 furnace control. The complete set of Russula reheating furnace control programs result in effective furnace control, improving heating effectiveness and heating gas consumptions. Short pay-back times are obtained due to the effectiveness of furnace gas consumption reduction; reducing the cost per produced ton and results in an environmental impact by reducing atmospheric emissions.

Keywords

Control; Reheating furnaces.

Control; Reheating furnaces.