A Computer Simulator Model for Generating Sulphuric Acid and Improve the Operational Results, Using Operational Data from a Chemical Plant
Joint Authors
Leiva, Claudio
Flores, Víctor
Aguilar, Carolina
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-08
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The integration of both sensors and simulation in some industrial processes has received a large increase in the recent years, thanks to results such as increase in production indices or improvement in economic indicators.
This document describes the development and validation of a simulation-based computer process for generating sulphuric acid.
For this process, the data generated by simulation between the fixed beds of a catalytic reactor versus the results obtained using real data from a sulphuric acid production plant in the Antofagasta Region, Chile, have been used.
This sulphuric acid production plant is designed for producing 720,000 tons of sulphuric acid annually, with a production capacity of 26 MW, which is used for both its own consumption and the Big North Interconnected System (SING, for its acronym in Spanish) and a sulphur consumption of 240,000 tons/year.
For the simulation process, converter input variables such as temperature and gas flow to later observe the oxidation behavior under different operational scenarios were considered.
To do it, a working method has been proposed and the software Aspen HYSYS® was used for the simulation.
The simulation result was validated using design operational data provided by the company.
The real results show a 99.9% of adjustment concerning the values obtained using the simulation.
Based on the findings, a new operational scenario was created, and the economic indicators of the simulator implementation were determined: NPV=CLP 161,695,000 and IRR=53% with a 6% monthly production increase.
American Psychological Association (APA)
Leiva, Claudio& Flores, Víctor& Aguilar, Carolina. 2020. A Computer Simulator Model for Generating Sulphuric Acid and Improve the Operational Results, Using Operational Data from a Chemical Plant. Journal of Sensors،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1190679
Modern Language Association (MLA)
Leiva, Claudio…[et al.]. A Computer Simulator Model for Generating Sulphuric Acid and Improve the Operational Results, Using Operational Data from a Chemical Plant. Journal of Sensors No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1190679
American Medical Association (AMA)
Leiva, Claudio& Flores, Víctor& Aguilar, Carolina. A Computer Simulator Model for Generating Sulphuric Acid and Improve the Operational Results, Using Operational Data from a Chemical Plant. Journal of Sensors. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1190679
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190679