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Energy Saving In Continuous Annealing Line Using Heating Optimization


  • Ömer Faruk Sezer
  • Erman Coşkun


Energy consumption of Iron and Steel Industry sector in Turkey has the highest share in final energy consumption. In the globalized world, day by day, worsening of the conditions of competition and negative environmental pressures, more efficient energy usage is come to the forefront. Growing industries can survive by providing efficient energy consumption and effective energy follow-up. The failure of businesses is become inevitable with ineffective and inefficient usage of energy resources used in the production. Energy savings in the continuous annealing line which is the subject of this article is an important issue and it is based on many parameters. Measuring strip's temperature is so important to continuous annealing line control in the annealing automation system. Increasing or decreasing the oven temperature provides the process control with the adjustment of the heater which is specific heating capacity in these furnaces. Each strip annealing temperature is different which depends on the strip quality. Also strip thickness, strip width and the line speed are the other factors of the oven temperature conditions. It needs to realize the production of an optimal quality ranking to increase the line speed. This improves the production level and because of the oven temperature changes in the order that causes the reduction of costs due to energy savings, optimized production is achieved. Finding the most suitable production sequence is modeled by fuzzy goal programming functions used the above parameters were investigated.

Suggested Citation

  • Ömer Faruk Sezer & Erman Coşkun, 2016. "Energy Saving In Continuous Annealing Line Using Heating Optimization," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 4(1), pages 73-83, June.
  • Handle: RePEc:anm:alpnmr:v:4:y:2016:i:1:p:73-83

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    More about this item


    Continuous Annealing Line; Energy Saving; Fuzzy Goal Programming;

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory


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