scholarly journals A Computer Simulator Model for Generating Sulphuric Acid and Improve the Operational Results, Using Operational Data from a Chemical Plant

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Claudio Leiva ◽  
Víctor Flores ◽  
Carolina Aguilar
Keyword(s):  
Sulphuric Acid ◽  
Acid Production ◽  
Gas Flow ◽  
Production Capacity ◽  
Real Data ◽  
Economic Indicators ◽  
Production Plant ◽  
Interconnected System ◽  
Simulation Based ◽  
Operational Data

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.

scholarly journals Consequence assessment using threat zone analysis on sulphuric acid production plant

2021 ◽  
Vol 4 (1) ◽  
pp. 58
Author(s):  
Mohd Aizad Ahmad ◽  
Wan Nur Atikah Nabila Wan Badli Shah ◽  
Zulkifli Abdul Rashid
Keyword(s):  
Sulphuric Acid ◽  
Acid Production ◽  
Google Earth ◽  
Simulation Software ◽  
Chemical Plant ◽  
Production Plant ◽  
Case Scenario ◽  
Worst Case ◽  
Worst Case Scenario ◽  
Consequence Assessment

The consequence assessment is one of the crucial methods in the process safety engineering fields to determine and quantify the threat zone derived on the respective chemical plant and this method will guide the designer regarding the most suitable preventive measure to avoid the disaster of a chemical plant. This work highlights the consequence assessment on sulphuric acid production plant using threat zone analysis, one of the steps in Quantitative Risk Assessment. The plant has decided to produce 80,000 MT per year of sulphuric acid in Malaysia with the selected site location of Kerteh, Terengganu. The process layout and location of the equipment installed for the processing steps of sulphuric acid production have been simulated by the Aspen HYSYS simulation software. All possible hazardous chemical for every equipment has been identified and the consequence assessment method focusing on threat zone distance was developed through the six steps of methodology to estimate the worst-case scenario. Distance of threat zone was simulated using ALOHA, MARPLOT and Google Earth software. Results show that the absorber tower produces the worst-case scenario among all equipment in the plant, which red threat zone of toxicity reaches more than 10 km to the surrounding area. 

scholarly journals Chemical composition and minerals in pyrite ash of an abandoned sulphuric acid production plant

2012 ◽  
Vol 430 ◽  
pp. 34-47 ◽  
Author(s):  
Marcos L.S. Oliveira ◽  
Colin R. Ward ◽  
Maria Izquierdo ◽  
Carlos H. Sampaio ◽  
Irineu A.S. de Brum ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Sulphuric Acid ◽  
Acid Production ◽  
Production Plant

scholarly journals Feedforward Tactical Optimization for Energy-Efficient Operation of Freight Trains: The Swiss Case

2018 ◽  
Vol 2672 (10) ◽  
pp. 278-288 ◽  
Author(s):  
Valerio De Martinis ◽  
Ambra Toletti ◽  
Francesco Corman ◽  
Ulrich A. Weidmann ◽  
Andrew Nash
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
Real Data ◽  
Efficient Solutions ◽  
Future Market ◽  
Speed Profile ◽  
Efficient Operation ◽  
The North ◽  
Simulation Based ◽  
Profile Optimization

The optimization of rail operation for improving energy efficiency plays an important role for the current and future market of rail freight services and helps rail compete with other transport modes. This paper presents a feedforward simulation-based model that performs speed profile optimization together with minor rescheduling actions. The model’s purpose is to provide railway operators and infrastructure managers with energy-efficient solutions that are tailored especially for freight trains. This work starts from the assumption that freight train characteristics are completely defined only a few hours before actual departure; therefore, small specific feedforward adjustments that do not affect the surrounding operation can still be considered. The model was tested in a numerical example. The example clearly shows how the optimized solutions can be evaluated with reference to energy saved and robustness within the rail traffic. The evaluation is based on real data from the North–South corridor crossing Switzerland from Germany to Italy.

Isolation and Screening of Lactic Acid Bacteria Strains With Antibacterial Properties From The Vagina of Healthy Cows

2021 ◽  
Author(s):  
Chao Cheng ◽  
Linchong Zhang ◽  
Yanru Fu ◽  
Yanzhong Li ◽  
Xiaohong Ma ◽  
...  
Keyword(s):  
Lactic Acid ◽  
Lactic Acid Bacteria ◽  
Cell Biology ◽  
Acid Production ◽  
Antibacterial Properties ◽  
Production Capacity ◽  
Strong Acid ◽  
Isolation And Identification ◽  
Vaginal Epithelial Cells ◽  
Bacteriocin Genes

Abstract Background Lactic acid bacteria with probiotic and antibacterial properties were isolated from the vagina of healthy cows. The purpose of the study is to isolation and screening of lactic acid bacteria strains with antibacterial properties from the vagina of healthy cows, which could be used to treat cow vaginal inflammation. Results Isolation and identification of eight dominant lactic acid bacteria strains from 55 isolates was performed using classic microbiology methods and fermentation engineering. Eight strains were selected that had no spores and capsules, exhibited strong acid production capacity (pH <4.5) and had a rapid acid production (time ≤12 h) at the lowest pH. These strains were screened using fermentation engineering, pharmacology, cell biology and molecular biology methods. Lactobacillus johnsonii (SQ0048) had the lowest pH (4.32) and shortest acid-producing time (8 h). L. johnsonii (SQ0048) could produce hydrogen peroxide, inhibit the growth of Staphylococcus aureus and Escherichia coli and adhere to the vaginal epithelial cells of cows. The average number adhering to each cell was 304±2.67. Bacteriocin genes were detected in L. johnsonii (SQ0048), and the bacteriocin gene of a positive clone of this strain was 100% similar to that of Lactobacillus johnsonii NCC 533 (NC_005362.1). Expression of the bacteriocin genes had inhibitory activity against S. aureus and E. coli. Conclusions These advantages indicate that SQ0048 is a promising candidate for use in antimicrobial preparations.

powmic: an R package for power assessment in microbiome case–control studies

2020 ◽  
Vol 36 (11) ◽  
pp. 3563-3565
Author(s):  
Li Chen
Keyword(s):  
Power Analysis ◽  
Real Data ◽  
Analytical Form ◽  
R Package ◽  
Case Control ◽  
Supplementary Information ◽  
Metagenomic Sequencing ◽  
Case Control Studies ◽  
Simulation Based ◽  
Over Dispersion

Abstract Summary Power analysis is essential to decide the sample size of metagenomic sequencing experiments in a case–control study for identifying differentially abundant (DA) microbes. However, the complexity of microbial data characteristics, such as excessive zeros, over-dispersion, compositionality, intrinsically microbial correlations and variable sequencing depths, makes the power analysis particularly challenging because the analytical form is usually unavailable. Here, we develop a simulation-based power assessment strategy and R package powmic, which considers the complexity of microbial data characteristics. A real data example demonstrates the usage of powmic. Availability and implementation powmic R package and online tutorial are available at https://github.com/lichen-lab/powmic. Contact [email protected] Supplementary information Supplementary data are available at Bioinformatics online.

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