• Home

  • About

  • Project network

  • Results

  • News & Events

  • Blog

  • More

    Energy SmartOps is financed by the Seventh Framework Program (FP7) of the European Commission. Contract No: PITN-GA-2010-264940

    • w-facebook
    • Twitter Clean
    • w-googleplus
    • Home

    • About

    • Project network

    • Results

    • News & Events

    • Blog

    • More

      Featured Posts

      Energy-Aware Production Scheduling Optimization in Stainless Steel Industry

      December 6, 2013

      Optimal control of electric drives for industrial compressors

      December 6, 2013

      1/2
      Please reload

      Recent Posts

      Optimal control of electric drives for industrial compressors - part 2

      December 18, 2014

      Control and operation of industrial compressors

      September 14, 2014

      Why industry should team up with energy-supply paradigm change?

      August 21, 2014

      Can maintenance improve the operational performance of the processing plant?

      August 18, 2014

      Optimal operation of compressors in parallel

      June 2, 2014

      Can interactive visualizations improve the way we do fault diagnosis?

      April 29, 2014

      Performance deterioration in centrifugal Compressors: Fouling phenomenon

      April 10, 2014

      Condition Monitoring and its Link to Energy Savings

      March 11, 2014

      Industrial compressors

      March 10, 2014

      Energy savings and electrical motors

      January 28, 2014

      Please reload

      Search By Tags

      centrifugal compressor

      compressor

      condition monitoring

      connectivity

      control systen

      deterioration mechanism

      efficiency

      electrical motor

      energy cost savings

      energy savings

      esr-a

      esr-c

      esr-e

      esr-f

      esr-g

      esr-h

      esr-j

      esr-k

      esr-l

      esr-o

      fouling

      graph

      kpi

      modeling

      mpc

      optimization

      power sytems

      steel

      visualization

      Please reload

      Follow Us
      • Facebook Classic
      • Twitter Classic
      • Google Classic

      Energy-Aware Production Scheduling Optimization in Stainless Steel Industry

      December 6, 2013

      By Dragoljub II Gajic

       

      Stainless steel plays a very important role in the economic development and its consumption per capita has been considered as an index of relative prosperity of a community. Stainless steel is also recognized as a reference for sustainable development because it is 100% recyclable at the end of its life. On the other hand the stainless steel industry is among the most energy-intensive industries where energy has a major share of operating costs and energy savings initiatives play very important role from both economic and environmental point of view.

       

      In the last few years the stainless steel market has become highly competitive mainly due to a sudden growth in the Chinese economy. As a result, the highest priority of the latest research work on stainless steel production has been to identify the most efficient optimization techniques to produce a given quantity of stainless steel at the lowest possible cost in an integrated stainless steel plant. Stainless steel coil products emerge from the melt shop, the hot rolling, the cold rolling and the finishing processes, in that order. Optimized scheduling is required for all these steps to operate efficiently, but it is too complicated to create schedules for all of these processes at once.

       

      We develop and apply in real case studies an LP- and MILP-based methodology to handle each process independently [1, 2] and later on an appropriate coordination strategy because the operational efficiency of downstream processes needs to be considered while scheduling upstream processes, and the scheduling results of the upstream processes are required as input to the downstream processes. We call such an approach end-to-end production scheduling optimization since at first we optimally schedule each process starting from downstream moving upstream and then readjust the schedule of the downstream processes again using both the upstream schedules and the energy prices as inputs [3, 4]. Apart from reduced energy costs and thus lower primary energy consumption and greenhouse gases emissions we also achieve energy savings directly within the processes by minimization of the production make span that is an objective function during both melt shop and hot rolling mill scheduling optimization.

       

      1. I. Harjunkoski, I. E. Grossmann, A Decomposition Approach for the Scheduling of a Steel Plant Production, Computers and Chemical Engineering, 2001.

       

      2. M. Biondi, S. Saliba, I. Harjunkoski, Production optimization and scheduling in a steel plant: hot rolling mill, 18th IFAC World Congress, 2011.

       

      3. H. Hadera, I. Harjunkoski, Continuous-time batch scheduling approach for optimizing electricity consumption cost, ESCAPE 23, 2013.

       

      4. S. Mitra, D. Gajic, Case study on generic discrete-time modelling approach for stainless steel operations under time-sensitive electricity prices, CAPD & TK-AST, 2013.

      Tags:

      energy savings

      optimization

      steel

      esr-l

      Please reload