The chemical plant manufacturer in relation to chemical industry

1940 ◽  
Vol 59 (9) ◽  
pp. 147-148
Author(s):  
Brian N. Reavell ◽  
G. E. Foxwell
Keyword(s):  
Chemical Industry ◽  
Chemical Plant

CALCULATING THE CARBON FOOTPRINT OF A CHEMICAL PLANT: A CASE STUDY OF AKZONOBEL

2009 ◽  
Vol 11 (03) ◽  
pp. 291-310 ◽  
Author(s):  
MICHAEL STEIN ◽  
ANSHUMAN KHARE
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Carbon Footprint ◽  
Chemical Industry ◽  
Chemical Plant ◽  
The Other ◽  
Emissions Reduction ◽  
Gas Emissions ◽  
Production And Consumption

Reduction of greenhouse gas emissions is one of the key requirements for sustainable production and consumption, but while the Canadian chemical industry has been very successful in reducing emissions to water and air, and while non- CO2 greenhouse gas emissions have been minimised as well, reduction of CO2 emissions has been less successful. The industry itself forecasts that further reduction of CO2 emissions will be minimal. On the other hand concerns about global warming are increasing, while at the same time the chemical industry increases its commitment to sustainability. Determining the carbon footprint of a chemical plant and of its products will help to identify more emissions reduction possibilities and is a necessary step for the further reduction of the chemical industry's environmental impact. Carbon footprint determination is a corporate goal for AkzoNobel, an international coatings and specialty chemicals company, but the carbon footprint is not yet established for many products, and the information available from the chemical industry is scarce. This paper presents a case study of AkzoNobel's Saskatoon Plant and its attempt to calculate and analyse the carbon footprint of the plant and its main products which are used in the potash industry.

The chemical plant manufacturer in relation to chemical industry

1939 ◽  
Vol 58 (52) ◽  
pp. 1113-1118
Author(s):  
G. E. Foxwell ◽  
Brian N. Reavell
Keyword(s):  
Chemical Industry ◽  
Chemical Plant

scholarly journals Dynamic Semi-Quantitative Risk Research in Chemical Plants

Processes ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 849
Author(s):  
Song ◽  
Jiang ◽  
Zheng ◽  
Kong ◽  
Zhao ◽  
...  
Keyword(s):  
Chemical Industry ◽  
Safety Management ◽  
Current Model ◽  
Quantitative Model ◽  
Calculation Model ◽  
Chemical Plant ◽  
Point Of View ◽  
Process Equipment ◽  
Chemical Plants ◽  
Quantitative Calculation

When a major accident occurs in a chemical industry park, it directly affects the personal safety of operators and neighboring residents and causes major losses; therefore, we should take measures to strengthen the management of chemical industry parks. This article proposes and analyzes a new dynamic semi-quantitative risk calculation model for chemical plants that can be applied digitally. This model provides a sustainable, standardized, and comprehensive management strategy for the safety management of chemical plants and chemical industry park managers. The model and its determined parameters were applied to the safety management of chemical companies within the chemical industry park of Quzhou, Zhejiang Province. From the point of view of the existing semi-quantitative model, the existing problems of the current model are analyzed, the current model is optimized, and a new dynamic semi-quantitative calculation model scheme is proposed. The new model uses an analytical hierarchy process targeting the factors affecting the risks in chemical plants, and chemical plant semi-quantitative dynamic calculation system consisting of the operator, process/equipment, risk, building environment, safety management, and domino effect, and the comprehensive risk of the chemical plant was calculated. The model is ultimately a real-time quantitative value, but its calculation process can compare and analyze the causes of high risk in a chemical plant as they relate to these six factors. Its implementation requires only software, which will greatly help chemical plant safety management.

The Clinical, Roentgenological and Morphological Effects of an Acute Exposure of Phosgene on the Lungs of Dogs

1971 ◽  
Vol 29 ◽  
pp. 236-237
Author(s):  
R. F. Bils ◽  
W. F. Diller ◽  
F. Huth
Keyword(s):  
Latent Period ◽  
Chemical Industry ◽  
Toxic Substance ◽  
Lung Edema ◽  
X Rays ◽  
Beagle Dogs ◽  
Male And Female ◽  
Morphological Alterations ◽  
Before And After ◽  
Electron Microscopes

Phosgene still plays an important role as a toxic substance in the chemical industry. Thiess (1968) recently reported observations on numerous cases of phosgene poisoning. A serious difficulty in the clinical handling of phosgene poisoning cases is a relatively long latent period, up to 12 hours, with no obvious signs of severity. At about 12 hours heavy lung edema appears suddenly, however changes can be seen in routine X-rays taken after only a few hours' exposure (Diller et al., 1969). This study was undertaken to correlate these early changes seen by the roengenologist with morphological alterations in the lungs seen in the'light and electron microscopes.Forty-two adult male and female Beagle dogs were selected for these exposure experiments. Treated animals were exposed to 94.5-107-5 ppm phosgene for 10 min. in a 15 m3 chamber. Roentgenograms were made of the thorax of each animal before and after exposure, up to 24 hrs.

Automation of Process Control in Chemical Plant

2015 ◽  
Vol 2 (1) ◽  
pp. 6-12
Author(s):  
Agus Sugiarta ◽  
Houtman P. Siregar ◽  
Dedy Loebis
Keyword(s):  
Process Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Chemical Engineering ◽  
Chemical Plant ◽  
Raw Material ◽  
Flow Rates ◽  
Material Supply ◽  
Wide Range ◽  
Inherent Problem

Automation of process control in chemical plant is an inspiring application field of mechatronicengineering. In order to understand the complexity of the automation and its application requireknowledges of chemical engineering, mechatronic and other numerous interconnected studies.The background of this paper is an inherent problem of overheating due to lack of level controlsystem. The objective of this research is to control the dynamic process of desired level more tightlywhich is able to stabilize raw material supply into the chemical plant system.The chemical plant is operated within a wide range of feed compositions and flow rates whichmake the process control become difficult. This research uses modelling for efficiency reason andanalyzes the model by PID control algorithm along with its simulations by using Matlab.

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