Monitoring and Forecasting of Air Emissions with IoT Measuring Stations and a SaaS Cloud Application

2021 ◽  
Author(s):  
Fernando Arevalo N. ◽  
M. Tahasanul Ibrahim ◽  
Rizky M. Diprasetya ◽  
Omar Otoniel Flores ◽  
Andreas Schwung
Keyword(s):  
Air Emissions ◽  
Cloud Application ◽  
Monitoring And Forecasting ◽  
Saas Cloud

There Reduction of alkali loss in an ash leaching system

TAPPI Journal ◽  
2017 ◽  
Vol 16 (7) ◽  
pp. 383-391
Author(s):  
CARLA CÉLIA ROSA MEDEIROS ◽  
FLÁVIA AZEVEDO SILVA ◽  
SAULO GODOY PIGNATON ◽  
ESTANISLAU VICTOR ZUTAUTAS ◽  
KLEVERSON FIGUEIREDO
Keyword(s):  
Solid Waste ◽  
Air Emissions ◽  
Recovery Cycle ◽  
Chloride Level ◽  
Control Loops ◽  
Kraft Mill ◽  
Recovery Boiler ◽  
Ash Leaching

There are many points in a kraft mill where the alkaline compounds are purged from the process. Several effluents, solid waste, and air emissions contain alkali, which leads to the necessity of chemical makeups to maintain the liquor balance. The main loss of alkali at the Veracel mill is present in the wastewater from the recovery boiler; more precisely, it is from the ash leaching system, which represents 80% of the total losses. To minimize the alkaline losses while keeping the chloride level in the recovery cycle under control, a project was developed at Veracel. Key actions were taken by adjusting the control loops of the ash leaching system, mainly on the slurry density and purge control. These adjustments led to a decrease in alkali losses and to an increase of treated ash, and kept the chloride level of the recovery boiler dust at 2.6%.

Diagnostics of Track Infrastructure as Part of the Digitisation of Russian Railways

2020 ◽  
Vol 64 (188) ◽  
pp. 149-160
Author(s):  
Janusz Poliński
Keyword(s):  
Diagnostic Tools ◽  
Gradual Transition ◽  
Technical Diagnostics ◽  
Strategic Development ◽  
Railway Infrastructure ◽  
Monitoring And Forecasting ◽  
Infrastructure Maintenance ◽  
Result Analysis ◽  
Railway Maintenance ◽  
Condition Diagnosis

Technical diagnostics is an integral part of the railway maintenance process. Through timely maintenance, in addition to ensuring the safety, functional and technical reliability of the infrastructure, maintenance costs are reduced and downtime losses, due to failures or premature repair requests, are eliminated or reduced. The track infrastructure diagnostic tools have evolved. This is related to, among others, the miniaturisation of instruments, reading accuracy during motion, as well as upgraded measurement automation and result analysis. Currently, data obtained from multifunctional diagnostic tools is the basis for the developed Russian railway infrastructure maintenance and operation digital model. The strategic development of mobile diagnostic labs is the gradual transition to solutions with advanced digital analysis, supported by artificial intelligence, monitoring and forecasting. The article presents the development of mobile labs for the railroad infrastructure condition diagnosis up to the current solutions, in which measurements take place without human intervention and the obtained information is transmitted in real time to the analysis and decision centres. Keywords: rail transport, measuring wagons, digitisation of railways, Russian railways

Waste Discharge Reduction Program Overview – Monsanto Agricultural Company

1991 ◽  
Vol 24 (12) ◽  
pp. 29-32
Author(s):  
C. W. Keffer
Keyword(s):  
Emission Reduction ◽  
Hazardous Materials ◽  
Inorganic Materials ◽  
Air Emissions ◽  
Environmental Media ◽  
Waste Discharge ◽  
Air Emission ◽  
Reduction Program

Monsanto is committed to being a leader in reducing waste discharges to the environment. The Company announced in June 1988 a commitment to reduce air emissions of hazardous materials by 90% by the end of 1992. In addition, Monsanto Agricultural Company established a further goal to reduce the discharge of organic and hazardous inorganic materials to all environmental media. Projects have been identified for the Agricultural Company to achieve the 90% air emission reduction goal and to reduce projected 1995 waste discharges from 150 million pounds to 50 million pounds.

Data Quality Objectives Supporting Radiological Air Emissions Monitoring for the PNNL Richland Campus

2017 ◽  
Author(s):  
Sandra F. Snyder ◽  
Donna Grace L. Moleta ◽  
Kirsten M. Meier ◽  
John M. Barnett
Keyword(s):  
Data Quality ◽  
Air Emissions
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