참고문헌 (45)

1. National Bureau of Statistics of China. Consumption of total energy and its main varieties by sector. <http://data.stats.gov.cn/english/easyquery.htm?cn=C01> [last accessed on 27.11.14]. 

2. Babich 267 2013 The coal handbook: towards cleaner production Coal use in iron and steel metallurgy 

3. Kong HN. Research on optimal scheduling of byproduct gas system in iron and steel industry. Doctoral dissertation. Tianjin, China: Tianjin University; 2011. p. 3-4 [in Chinese]. 

4. Energy Econ Xu 46 348 2014 10.1016/j.eneco.2014.10.013 Energy conservation and CO2 emissions reduction in China’s 11th Five-Year Plan: a performance evaluation 

   상세보기

5. Energy Li 35 11 4273 2010 10.1016/j.energy.2009.04.021 Energy conservation and circular economy in China’s process industries 

   상세보기

6. Energy Lin 73 14 465 2014 10.1016/j.energy.2014.06.036 Promoting energy conservation in China’s iron & steel sector 

   상세보기

7. Appl Energy Jana 102 131 2013 10.1016/j.apenergy.2012.06.047 Greenhouse gas emissions from first generation ethanol derived from wheat and sugar beet in Germany - analysis and comparison of advanced by-product utilization pathways 

   상세보기

8. Appl Energy Giacomo 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 

   상세보기

9. Appl Energy Niklas 112 1032 2013 10.1016/j.apenergy.2013.05.034 Wavelet study of dynamic variations in steel and ironmaking rest gases: potential effect on external use 

   상세보기

10. Fuel Process Technol Jose 110 150 2013 10.1016/j.fuproc.2012.12.007 An overview of novel technologies to valorise coke oven gas surplus 

    상세보기

11. Expert 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 

    상세보기

12. 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 

    상세보기

13. IEEE Trans Autom Sci Eng Zhao 11 4 1149 2014 10.1109/TASE.2013.2277661 A bayesian networks structure learning and reasoning-based byproduct gas scheduling in steel industry 

    상세보기

14. Chem Eng Res Des Zhang 86 2 141 2008 10.1016/j.cherd.2007.11.002 An MILP model for multi-period optimization of fuel gas system scheduling in refinery and its marginal value analysis 

    상세보기

15. Appl Therm Eng Larsson 26 13 1353 2006 10.1016/j.applthermaleng.2005.05.025 Development of a method for analyzing energy, environmental and economic efficiency for an integrated steel plant 

    상세보기

16. World Steel Bernhart 12 5 60 2012 Realized measures for energy-efficient process gas use in metallurgical plants 

17. 10.1016/B978-0-08-042229-9.50027-6 Takeshita T, Fujita K, Natori Y. Steam balance optimization in chemical plant. In: IFAC symposium ADCHEM. Kyoto, Japan; 1994. 

    

18. Comput Chem Eng Glankwamdee 32 11 2536 2008 10.1016/j.compchemeng.2007.12.007 Combining optimization and simulation for strategic and operational industrial gas production and distribution 

    상세보기

19. 10.1016/B978-0-08-034349-5.50061-5 Fukuda K, Makino H, Suzuki Y, Ishida S. Optimal energy distribution control at the steel works. In: IFAC Simulation of Control Systems, Vienna, Austria; 1986. p. 337-42. 

    

20. Appl Energy Zhao 105 335 2013 10.1016/j.apenergy.2012.12.061 Fuel economy optimization of an Atkinson cycle engine using genetic algorithm 

    상세보기

21. Int J Elec Power Energy Zambri 67 179 2015 10.1016/j.ijepes.2014.11.005 Performance comparison of neural networks for intelligent management of distributed generators in a distribution system 

    상세보기

22. Appl Energy Rosemarie 130 384 2014 10.1016/j.apenergy.2014.05.060 Grid-price-dependent energy management in microgrids using a modified simulated annealing triple-optimizer 

    상세보기

23. 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 

    상세보기

24. Interfaces Sinha 25 1 6 1995 10.1287/inte.25.1.6 Strategic and operational management with optimization at Tata steel 

    상세보기

25. Chem Eng Res Des Kim 81 8 1015 2003 10.1205/026387603322482248 A novel MILP model for plant-wide multi-period optimization of byproduct gas supply system in the iron and steel making process 

    상세보기

26. Korean J Chem Eng Kim 20 3 429 2003 10.1007/BF02705542 Plant-wide optimal byproduct gas distribution and holder level control in the iron and steel making process 

    상세보기

27. J Iron Steel Res Int Kong 17 7 34 2010 10.1016/S1006-706X(10)60153-7 MILP model for plant-wide optimal by-product gas scheduling in iron and steel industry 

    상세보기

28. 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 

    상세보기

29. ISIJ Int Yi 49 11 1694 2009 10.2355/isijinternational.49.1694 Experimental research on reducing the dust of BOF in CO2 and O2 mixed blowing steelmaking process 

    상세보기

30. J Iron Steel Res Int Zhang 18 8 37 2011 10.1016/S1006-706X(11)60101-5 Multi-period optimal distribution model of energy medium and its application 

    상세보기

31. Energy Convers Manage Guo 74 10 433 2013 10.1016/j.enconman.2013.06.051 A two-stage optimal planning and design method for combined cooling, heat and power microgrid system 

    상세보기

32. Energy Convers Manage Antonio 83 7 347 2014 Integration of biomass into urban energy systems for heat and power. Part I: an MILP based spatial optimization methodology 

33. Energy Convers Manage Ran 73 9 234 2013 Optimal power generation and load management for off-grid hybrid power systems with renewable sources via mixed-integer programming 

34. Appl Energy Magnus 88 3 577 2011 10.1016/j.apenergy.2010.08.021 The MIND method: a decision support for optimization of industrial energy systems - principles and case studies 

    상세보기

35. Appl Therm Eng Mehrdad 22 11 1195 2002 10.1016/S1359-4311(02)00044-3 Modelling of thermal energy storage in industrial energy systems the method development of MIND 

    상세보기

36. LINGO 14.0 - Optimization modelling software for linear, nonlinear, and integer programming. <http://www.lindo.com/index.php?option=com_content&view=article&id=2&Itemid=10> [last accessed on 06.11.14]. 

37. Energy Convers Manage Miadreza 52 12 3425 2011 10.1016/j.enconman.2011.07.012 Unified solution of a non-convex SCUC problem using combination of modified branch-and-bound method with quadratic programming 

    상세보기

38. Energy Convers Manage Chang 46 13-14 2158 2005 10.1016/j.enconman.2004.10.012 Optimal chiller sequencing by branch and bound method for saving energy 

    상세보기

39. Handan Iron and Steel Corporation. <http://www.hebgtjt.com/showNews.jsp?id=4424> [last accessed on 24.02.15]. 

40. Handan Iron and Steel Corporation. <http://www.hebgtjt.com/showNews.jsp?id=2157> [last accessed on 24.02.15]. 

41. Appl Energy Felipe 119 371 2014 10.1016/j.apenergy.2014.01.019 Design of Pareto optimal CO2 cap-and-trade policies for deregulated electricity networks 

    상세보기

42. Appl Energy Hu 116 230 2014 10.1016/j.apenergy.2013.11.065 A probability constrained multi-objective optimization model for CCHP system operation decision support 

    상세보기

43. Appl Energy Luo 136 1110 2014 10.1016/j.apenergy.2014.06.076 Multi-objective optimization for the design and synthesis of utility systems with emission abatement technology concerns 

    상세보기

44. J Hydrol Mehmet 450 11 308 2012 An integrative case study approach between game theory and Pareto frontier concepts for the transboundary water resources allocations 

45. Appl Energy Sanaye 88 5 1568 2011 10.1016/j.apenergy.2010.11.032 Modeling and multi-objective optimization of parallel flow condenser using evolutionary algorithm 

    상세보기