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NTIS 바로가기Applied energy, v.164, 2016년, pp.462 - 474
de Oliveira Junior, Valter B. (Corresponding author.) , Pena, João G. Coelho , Salles, José , L. Félix
Abstract In an integrated steel mill, the byproduct gases of steel production processes can be recovered as fuel for the plant itself and can be used to generate electricity and steam in power plants. This work addresses the development of a mixed integer linear programming (MILP) model to solve th...
Energy Worrell 11 28 1081 2003 10.1016/S0360-5442(03)00091-4 Productivity benefits of industrial energy efficiency measures
International Energy Agency (IEA). Tracking industrial energy efficiency and CO2 emissions. Paris, France; 2007.
Renew Sust Energy Rev Hasanbeigi 33 645 2014 10.1016/j.rser.2014.02.031 Alternative emerging iron making technologies for energy-efficiency and carbon dioxide emissions reduction: a technical review
Renew Sust Energy Rev Quader 50 594 2015 10.1016/j.rser.2015.05.026 A comprehensive review on energy efficient CO2 breakthrough technologies for sustainable green iron and steel manufacturing
Appl Energy Porzio 136 1085 2014 10.1016/j.apenergy.2014.06.086 Comparison of multi-objective optimization techniques applied to off-gas management within an integrated steelwork
Appl Therm Eng Porzio 70 1148 2014 10.1016/j.applthermaleng.2014.05.058 Process integration in energy and carbon intensive industries: an example of exploitation of optimization techniques and decision support
Appl Therm Eng Larsson 26 1353 2006 10.1016/j.applthermaleng.2005.05.025 Development of a method for analysing energy, environmental and economic efficiency for an integrated steel plant
Int J Green Energy Wang 4 505 2007 10.1080/15435070701583094 CO2 emission reduction in the steel industry by using emission trading programs
Appl Therm Eng Grip 53 366 2013 10.1016/j.applthermaleng.2012.03.040 Process integration. Tests and application of different tools on an integrated steelmaking site
Automatica Akimoto 27 3 513 1991 10.1016/0005-1098(91)90108-E An optimal gas supply for a power plant using a mixed integer programming model
Interfaces Gopal 27 6 1995 Strategic and operational management with optimization at Tata steel
Automatica Morari 35 407 1999 10.1016/S0005-1098(98)00178-2 Control of systems integrating logic, dynamics and constraints
Hwan KJ, Heui-Seok Y, Chonghun H. The development of the real time optimal byproduct gas supply system. In: International conference on control automation and systems (ICCAS), Jeonbuk, Korea; 2002. p. 1112-7.
Chem Eng Res Des Kim 81 8 1015 2003 10.1205/026387603322482248 A novel MILP model for plantwide multiperiod optimization of byproduct gas supply system in the iron- and steel-making process
Appl Energy Kong 87 7 2156 2010 10.1016/j.apenergy.2009.11.031 An MILP model for optimization of byproduct gases in the integrated iron and steel plant
Int J Iron Steel Res Zhang 18 37 2011 Multi-period optimal distribution model of energy medium and its application
Int J Iron Steel Res Yang 22 408 2015 10.1016/S1006-706X(15)30020-0 Optimization and scheduling of byproduct gas system in steel plant
Int J Iron Steel Res Kong 22 8 681 2015 10.1016/S1006-706X(15)30057-1 A green mixed integer linear programming model for optimization of byproduct gases in iron and steel industry
Appl Energy Zhao 148 142 2015 10.1016/j.apenergy.2015.03.046 A MILP model concerning the optimization of penalty factors for the short-term distribution of byproduct gases produced in the iron and steel making process
Int J Iron Steel Res Sun 20 1 2013 Plant-wide supply-demand forecast and optimization of byproduct gas system in steel plant
Korean J Chem Eng Jeong 28 1 16 2011 10.1007/s11814-010-0340-2 Gasholder level control based on time-series analysis and process heuristics
Exp Syst Appl Zhang 38 4 4588 2011 10.1016/j.eswa.2010.09.132 An optimal method for prediction and adjustment on byproduct gas holder in steel industry
IEEE Trans Neural Networks Learn Syst Zhao 23 3 439 2012 10.1109/TNNLS.2011.2179309 Hybrid neural prediction and optimized adjustment for coke oven gas system in steel industry
Control Eng Pract Zhao 20 629 2012 10.1016/j.conengprac.2012.03.003 A MKL based on-line prediction for gasholder level in steel industry
IEEE Trans Ind Inform Zhao 8 2012 10.1109/TII.2012.2205932 Effective noise estimation-based online prediction for byproduct gas system in steel industry
IEEE Trans Autom Sci Eng Zhao 11 2014 10.1109/TASE.2013.2277661 A bayesian networks structure learning and reasoning-based byproduct gas scheduling in steel industry
Saltelli 2004 Sensitivity analysis in practice: a guide for assessing scientific methods
Saltelli 2008 Global sensitivity analysis the primer
Renew Sust Energy Rev Tian 20 411 2013 10.1016/j.rser.2012.12.014 A review of sensitivity analysis methods in building energy analysis
Automatica Astrom 36 363 2000 10.1016/S0005-1098(99)00171-5 Drum-boiler dynamics
Appl Therm Eng Putten 27 2566 2007 10.1016/j.applthermaleng.2007.01.035 Dynamic modeling of steam power cycles: Part II - Simulation of a small simple Rankine cycle system
Narasimhan 2000 Data reconciliation & gross error detection: an intelligent use of process data
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