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Volumn 42, Issue 10, 2003, Pages 2209-2218

Modeling of multistage air-compression systems in chemical processes

Author keywords

[No Author keywords available]

Indexed keywords

AIR; COMPACTION; ELECTRIC MOTORS; EXPANSION; NEURAL NETWORKS;

EID: 0038665557     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie020270l     Document Type: Article
Times cited : (20)

References (25)
  • 3
    • 0029723013 scopus 로고    scopus 로고
    • An industrial application using mixed-integer programming technique: A multi-period utility system model
    • Hui, C.-W.; Natori, Y. An industrial Application using Mixed-Integer Programming Technique: a Multi-period Utility System Model. Comput. Chem. Eng. 1996, 20, S1577.
    • (1996) Comput. Chem. Eng. , vol.20
    • Hui, C.-W.1    Natori, Y.2
  • 4
    • 0030706514 scopus 로고    scopus 로고
    • Optimal multiperiod operational planning for utility systems
    • Iyer, R. R.; Grossmann I. G. Optimal Multiperiod Operational Planning for Utility Systems. Comput. Chem. Eng. 1997, 21, 787.
    • (1997) Comput. Chem. Eng. , vol.21 , pp. 787
    • Iyer, R.R.1    Grossmann, I.G.2
  • 5
    • 0035906115 scopus 로고    scopus 로고
    • Short-term multiperiod optimal planning of utility systems using heuristics and dynamic programming
    • Kim, J. H.; Han, C. Short-term Multiperiod Optimal Planning of Utility Systems using Heuristics and Dynamic Programming. Ind. Eng. Chem. Res. 2001, 40, 1928.
    • (2001) Ind. Eng. Chem. Res. , vol.40 , pp. 1928
    • Kim, J.H.1    Han, C.2
  • 6
    • 0038171718 scopus 로고    scopus 로고
    • Optimization of a utility plant operation based on hierarchical method
    • Lee, S. J.; Lee, M. H.; Chang, K. S.; Han, C. Optimization of a Utility Plant Operation based on Hierarchical Method. Hwahak Konghak 1998, 36, 415.
    • (1998) Hwahak Konghak , vol.36 , pp. 415
    • Lee, S.J.1    Lee, M.H.2    Chang, K.S.3    Han, C.4
  • 10
    • 0031698254 scopus 로고    scopus 로고
    • Field analysis of multisection compressors
    • Jan
    • Gresh K. K. Field Analysis of Multisection Compressors. Hydrocarbon Process. 1998, Jan, 55.
    • (1998) Hydrocarbon Process , pp. 55
    • Gresh, K.K.1
  • 11
    • 0035868879 scopus 로고    scopus 로고
    • The use of new SQP methods for the optimization of utility systems
    • Rodriguez-Toral, M. A.; Morton, W.; Mitchell, D. R. The Use of New SQP Methods for the Optimization of Utility Systems. Comput. Chem. Eng. 2001, 25, 287.
    • (2001) Comput. Chem. Eng. , vol.25 , pp. 287
    • Rodriguez-Toral, M.A.1    Morton, W.2    Mitchell, D.R.3
  • 12
    • 0035799258 scopus 로고    scopus 로고
    • Dynamic modeling and simulation of a fluidized catalytic cracking process. Part I: Process modeling
    • Han, I.-S.; Chung, C.-B. Dynamic Modeling and Simulation of a Fluidized Catalytic Cracking Process. Part I: Process Modeling. Chem. Eng. Sci. 2001, 56, 1951.
    • (2001) Chem. Eng. Sci. , vol.56 , pp. 1951
    • Han, I.-S.1    Chung, C.-B.2
  • 13
    • 0028388616 scopus 로고
    • Improve FCCU expander reliability
    • Mar
    • Roy, G. K. Improve FCCU Expander Reliability. Hydrocarbon Process. 1994, Mar, 67.
    • (1994) Hydrocarbon Process , pp. 67
    • Roy, G.K.1
  • 14
    • 11144325691 scopus 로고
    • Partial least-squares regression: A tutorial
    • Geladi, P.; Kowalski, B. R. Partial Least-Squares Regression: A Tutorial. Anal. Chim. Acta 1986, 185, 1.
    • (1986) Anal. Chim. Acta , vol.185 , pp. 1
    • Geladi, P.1    Kowalski, B.R.2
  • 17
    • 0032179394 scopus 로고    scopus 로고
    • Multivariate statistical analysis of an emulsion batch process
    • Neogi, D.; Schlags, C. E. Multivariate Statistical Analysis of an Emulsion Batch Process. Ind. Eng. Chem. Res. 1998, 37, 3971.
    • (1998) Ind. Eng. Chem. Res. , vol.37 , pp. 3971
    • Neogi, D.1    Schlags, C.E.2
  • 18
    • 0026853320 scopus 로고
    • Nonlinear PLS modeling using neural network comput
    • Qin, S. J.; McAvoy, T. J. Nonlinear PLS Modeling using Neural Network Comput. Chem. Eng. 1992, 16, 379.
    • (1992) Chem. Eng. , vol.16 , pp. 379
    • Qin, S.J.1    McAvoy, T.J.2
  • 19
    • 0036638612 scopus 로고    scopus 로고
    • Iterative error-based nonlinear PLS method for nonlinear chemical process modeling
    • Min, K. G.; Han, I.-S.; Han, C. Iterative Error-based Nonlinear PLS Method for Nonlinear Chemical Process Modeling. J. Chem. Eng. Jpn. 2002, 613.
    • (2002) J. Chem. Eng. Jpn. , pp. 613
    • Min, K.G.1    Han, I.-S.2    Han, C.3
  • 20
    • 0034393036 scopus 로고    scopus 로고
    • Robust nonlinear PLS based on neural networks and application to composition estimator for high-purity distillation columns
    • Liu, J.; Min, K. G.; Han, C.; Chang, K. S. Robust Nonlinear PLS based on Neural Networks and Application to Composition Estimator for High-purity Distillation Columns. Korean J. Chem. Eng. 2000, 17, 184.
    • (2000) Korean J. Chem. Eng. , vol.17 , pp. 184
    • Liu, J.1    Min, K.G.2    Han, C.3    Chang, K.S.4
  • 22
    • 0035965535 scopus 로고    scopus 로고
    • Prediction of the molecular weight for a vinylidene chloride/vinyl chloride resin during shear-related thermal degradation in air by using a back-propagation artificial neural network
    • Liu, J. Prediction of the Molecular Weight for a Vinylidene Chloride/Vinyl Chloride Resin during Shear-Related Thermal Degradation in Air by using a Back-Propagation Artificial Neural Network. Ind. Eng. Chem. Res. 2001, 40, 5719.
    • (2001) Ind. Eng. Chem. Res. , vol.40 , pp. 5719
    • Liu, J.1
  • 23
    • 0034372481 scopus 로고    scopus 로고
    • Application of artificial neural networks in chemical engineering
    • Himmelblau, D. M. Application of Artificial Neural Networks in Chemical Engineering. Korean J. Chem. Eng. 2000, 17, 373.
    • (2000) Korean J. Chem. Eng. , vol.17 , pp. 373
    • Himmelblau, D.M.1
  • 24
    • 85039683022 scopus 로고    scopus 로고
    • (Samsung Petrochemical Corp.) Personal communication
    • Lee, W.; Noh, E.; Lee, K. (Samsung Petrochemical Corp.) Personal communication, 2002.
    • (2002)
    • Lee, W.1    Noh, E.2    Lee, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.