Dynamic modelling and optimisation of cryogenic systems

被引:22
|
作者
Rodriguez, M. [1 ]
Diaz, M. S. [1 ]
机构
[1] Univ Nacl Sur, CONICET, PLAPIQUI, RA-8000 Bahia Blanca, Argentina
关键词
dynamic optimisation; cryogenic heat exchanger; partial condensation; large-scale NLP;
D O I
10.1016/j.applthermaleng.2006.02.044
中图分类号
O414.1 [热力学];
学科分类号
摘要
This work addresses the dynamic optimisation of the cryogenic sector in a large-scale natural gas processing plant. Main attention is focused on rigorous dynamic modelling of countercurrent heat exchangers with phase change and a subsequent high-pressure separation tank. The original distributed parameter problem, which results from dynamic energy balances in countercurrent heat exchangers, is transformed into an ordinary differential system (ODE) by performing spatial discretisation with the method of lines. The entire model comprises algebraic equations for thermodynamic predictions with the Soave-Redlich-Kwong (SRK) equation of state, hydraulic and design equations. The differential-algebraic equation (DAE) optimisation problem is solved with an advanced simultaneous strategy that transforms the original problem into a large-scale nonlinear programming (NLP) problem through discretisation in time of the entire set of variables by collocation on finite elements. Model resolution provides optimal temporal and spatial profiles for pressure and temperature in heat exchangers, together with partial condensation description. (C) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1182 / 1190
页数:9
相关论文
共 50 条
  • [41] Integrated optimisation method for controlled dynamic mechanical systems
    Wang Y.
    Wang Y.
    Chen H.
    International Journal of Mechatronics and Manufacturing Systems, 2017, 10 (03) : 221 - 236
  • [42] MAS for modelling dynamic manufacturing systems
    Tung, Dang
    Wilson, Cath
    Sheahan, Con
    PROCEEDINGS OF THE ISSAT INTERNATIONAL CONFERENCE ON MODELING OF COMPLEX SYSTEMS AND ENVIRONMENTS, PROCEEDINGS, 2007, : 116 - +
  • [43] DYNAMIC SYSTEMS AND METHODS OF MODELLING BIOCATALYSTS
    NIKOLAEV, LA
    RUSSIAN JOURNAL OF PHYSICAL CHEMISTRY,USSR, 1967, 41 (10): : 1389 - &
  • [44] Modelling of the dynamic state of disperse systems
    Uriev, NB
    Kuchin, IV
    USPEKHI KHIMII, 2006, 75 (01) : 36 - 63
  • [45] Dynamic modelling of aqueous electrolyte systems
    Kakhu, AI
    Pantelides, CC
    COMPUTERS & CHEMICAL ENGINEERING, 2003, 27 (06) : 869 - 882
  • [46] Machine modelling of complex dynamic systems
    Keller, Hubert B.
    Fick, Andreas
    Systems Analysis Modelling Simulation, 2000, 39 (02): : 205 - 214
  • [47] METHODS OF MODELLING AND SIMULATING DYNAMIC SYSTEMS
    WHITE, GWT
    MEASUREMENT AND CONTROL, 1971, 4 (08): : T139 - &
  • [48] Dynamic modelling of Decision Systems (DMDS)
    Poler, R
    Lario, FC
    Doumeingts, G
    COMPUTERS IN INDUSTRY, 2002, 49 (02) : 175 - 193
  • [49] Modelling Dynamic Systems using ANFIS
    Gorrostieta, Efren
    Sotomayor, Artemio
    Antonio Aceves, Marco
    Pedraza, Carlos
    Ramos, J. M.
    PROCEEDINGS OF THE 15TH AMERICAN CONFERENCE ON APPLIED MATHEMATICS AND PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTATIONAL AND INFORMATION SCIENCES 2009, VOLS I AND II, 2009, : 287 - +
  • [50] Modelling of Dynamic Systems in Electronic Education
    Jankova, Martina
    Janko, Roman
    CREATING GLOBAL COMPETITIVE ECONOMIES: 2020 VISION PLANNING & IMPLEMENTATION, VOLS 1-3, 2013, : 1323 - 1332