Generation of Simulation Based Operational Database for an Acid Gas Removal Plant with Automatic Calculations

Authors

  • Bálint Silhavy
    Affiliation
    Budapest University of Technology and Economics
  • Lajos Erdős
    Affiliation
    MOL Hungarian Oil and Gas Compan
  • Péter Mizsey
    Affiliation
    Budapest University of Technology and Economics
  • Katalin Koczka
    Affiliation
    Budapest University of Technology and Economics
  • Ágnes Szanyi
    Affiliation
    Budapest University of Technology and Economics
  • László Mika
    Affiliation
    Budapest University of Technology and Economics
  • Tamás Benkő
    Affiliation
    Budapest University of Technology and Economics
https://doi.org/10.3311/PPch.7997

Abstract

Computer aided process design is improving with newer and newer tools. One of such tools is the automatic calculation technique that enables the combination of different software tools to enhance the efficiency of the calculations. In our research work Aspen HYSYS model of a petrochemical plant is built in order to simulate responses of an existing plant to the changes in the composition and amount of feed material. The Aspen HYSYS is connected to Microsoft Excel program; simulated operational data are stored in an operational database and transported to Excel for further analysis. The automatic calculation completed with the two software tools mutually strengthens their merits and results in enhanced insight into the operational features of any plant. Comparison of the projected input parameters of the petrochemical plant studied shows that the extension of the plant is badly needed. Cash-flow analysis suggests that the extension is profitable.

Keywords:

Simulation, automatic calculation, operational database, acid gas removal

Citation data from Crossref and Scopus

Published Online

2015-09-09

How to Cite

Silhavy, B., Erdős, L., Mizsey, P., Koczka, K., Szanyi, Ágnes, Mika, L. “Generation of Simulation Based Operational Database for an Acid Gas Removal Plant with Automatic Calculations”, Periodica Polytechnica Chemical Engineering, 60(1), pp. 24–28, 2016. https://doi.org/10.3311/PPch.7997

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Section

Articles