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

Journal of Sensors

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

Civil Engineering

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