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Modelling and dynamic simulation of processes with ‘MATLAB’. An application of a natural gas installation in a power plant

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  • González-Bustamante, J.A.
  • Sala, J.M.
  • López-González, L.M.
  • Míguez, J.L.
  • Flores, I.

Abstract

In this paper, it is proposed to incorporate the analysis of the dynamic performance of the process into the design and engineering stage of projects as a means of analysing and resolving this type of problem. The following contributions are made with this objective in mind:(a)The barriers in the way of dynamic analysis are identified.(b)Software tools which make dynamic analysis accessible during the design and engineering phase of the project are proposed. To achieve this goal, modelling and mathematical simulation are used, with the following features: •strict modelling of mass, momentum and energy conservation equations as well as state equations, and•utilisation of the ‘Matlab-Simulink’ package as the base-software tool.(c)The procedure and tool proposed for dynamic analysis during the design phase should enable these studies to be carried out at a reasonable cost and time for regular industrial projects, and not just for large research projects or nuclear power plants.

Suggested Citation

  • González-Bustamante, J.A. & Sala, J.M. & López-González, L.M. & Míguez, J.L. & Flores, I., 2007. "Modelling and dynamic simulation of processes with ‘MATLAB’. An application of a natural gas installation in a power plant," Energy, Elsevier, vol. 32(7), pages 1271-1282.
  • Handle: RePEc:eee:energy:v:32:y:2007:i:7:p:1271-1282
    DOI: 10.1016/j.energy.2006.06.018
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    Cited by:

    1. Miguel A. Rodríguez-López & Luis M. López-González & Luis M. López-Ochoa & Jesús Las-Heras-Casas, 2018. "Methodology for Detecting Malfunctions and Evaluating the Maintenance Effectiveness in Wind Turbine Generator Bearings Using Generic versus Specific Models from SCADA Data," Energies, MDPI, vol. 11(4), pages 1-22, March.
    2. Murphy, Gavin Bruce & Counsell, John & Allison, John & Brindley, Joseph, 2013. "Calibrating a combined energy systems analysis and controller design method with empirical data," Energy, Elsevier, vol. 57(C), pages 484-494.

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