Modeling and dependability analysis of an industrial plant: Case study

2015 ◽  
Author(s):  
Youcef Zennir ◽  
Riad Bendib
Keyword(s):  
Industrial Plant ◽  
Dependability Analysis

scholarly journals The Steps from Batchwise to Continuous Crystallization for a Fine Chemical: A Case Study

Crystals ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 542 ◽  
Author(s):  
Christian Melches ◽  
Hermann Plate ◽  
Jürgen Schürhoff ◽  
Robert Buchfink
Keyword(s):  
Crystal Size ◽  
Operation Mode ◽  
Continuous Operation ◽  
Industrial Plant ◽  
Fine Chemical ◽  
Industrial Implementation ◽  
Stepwise Development ◽  
Initial Idea ◽  
Definition Of

Many processes to produce fine chemicals and precursors of pharmaceuticals are still operated in batchwise mode. However, recently, more producers have taken a change to continuous operation mode into consideration, performing studies and trials on such a change, while some have even already exchanged their production mode from batchwise to continuous operation. In this paper, the stepwise development from an initial idea to industrial implementation via laboratory testing and confirmation is revealed through the example of an organic fine chemical from the perspective of a crystallization plant manufacturer. We begin with the definition of the objectives of the project and a brief explanation of the advantages of continuous operation and the associated product properties. The results of the laboratory tests, confirming the assumptions made upfront, are reported and discussed. Finally, the implementation of an industrial plant using a draft tube baffled (DTB) crystallizer and the final product properties are shown. Product properties such as crystal size distribution, crystal shape, related storage stability and flowability have successfully been improved.

Dependability analysis in the Ambient Assisted Living Domain: An exploratory case study

2012 ◽  
Vol 85 (1) ◽  
pp. 112-131 ◽  
Author(s):  
Genaína Nunes Rodrigues ◽  
Vander Alves ◽  
Renato Silveira ◽  
Luiz A. Laranjeira
Keyword(s):  
Assisted Living ◽  
Ambient Assisted Living ◽  
Exploratory Case Study ◽  
Dependability Analysis

scholarly journals Chemical-physical and ecological characterisation in the environmental project of a polluted coastal area: the Bagnoli case study

2003 ◽  
Vol 4 (2) ◽  
pp. 5 ◽  
Author(s):  
I. BERGAMIN ◽  
E. ROMANO ◽  
M. GABELLINI ◽  
A. AUSILI ◽  
M.G. CARBONI
Keyword(s):  
Statistical Approach ◽  
Anthropogenic Pollution ◽  
Single Species ◽  
Environmental Research ◽  
Industrial Plant ◽  
Tyrrhenian Sea ◽  
Good Tolerance ◽  
Composition And Structure ◽  
Southern Tyrrhenian Sea

The Bagnoli Bay (southern Tyrrhenian Sea, Naples, Italy) has been impacted for about one century by heavy anthropogenic pollution due to an important steel plant. A multidisciplinary environmental research, aimed at the reclamation of the marine contaminated area, was planned in order to evaluate, through quantitative data, the chemical-physical and ecological characteristics of marine sediments; the latter ones are strictly related to the composition and structure of benthic foraminiferal assemblages. A comprehensive statistical approach, considering all data, was attempted in order to single out the influence of pollutants on the single species distribution. The results show strong heavy metal pollution (Fe, Mn, Pb and Zn) in the vicinity of the industrial plant. Many foraminiferal species (Haynesina germanica, Miliolinella subrotunda,Quinqueloculina parvula), have a good tolerance to some trace metals while, Bulimina sublimbata, Elphidiummacellum and Miliolinella dilatata show a good tolerance to PAHs pollution.

scholarly journals Market Prospecting and Assessment of the Economic Potential of Glycerol from Biodiesel

2020 ◽  
Author(s):  
Alisson Dias da Silva Ruy ◽  
Ana Luíza Freitas Ferreira ◽  
Antônio Ésio Bresciani ◽  
Rita Maria de Brito Alves ◽  
Luiz Antônio Magalhães Pontes
Keyword(s):  
Acrylic Acid ◽  
World Trade ◽  
Market Price ◽  
Raw Material ◽  
Added Value ◽  
Industrial Plant ◽  
World Demand ◽  
Trade Center ◽  
Social Associations

Glycerol from biodiesel is a potential raw material for synthesis of several products with high added value. The world demand and the market value of these products are important information for defining the best investment for the implantation of a biorefinery. The information is available on websites of social associations, production companies and market consulting companies and can be mined, free of charge. The International Trade Center (ITC), with information on world trade and websites linked to the foreign trade agencies of every country, such as Comex Stat, in Brazil, are relevant search sources. In this context, this work presents procedures and search techniques for prospecting such information. Such a procedure is illustrated through a case study for which a search of market parameters for glycerol and its derivatives was carried out for use in the process design and economic evaluation of an industrial plant. It was found that crude glycerol had a market price close to US$ 170/ton, in 2019. Among its derivatives, acrylic acid, acrylonitrile and 1,3-propanediol have great potential for the development of new processes, within the scope of a biorefinery. Industrially, acrylic acid (US$ 1100/ton) and acrylonitrile (US$ 1500/ton) are produced from propene (US$ 880/ ton) and 1,3-propanediol (US $ 2000/ton) comes from glucose (US$ 460/t) or ethylene oxide (US$ 1200/t), which encourages the development of new sustainable processes.

scholarly journals Implementation and Transfer of Predictive Analytics for Smart Maintenance: A Case Study

2020 ◽  
Vol 2 ◽  
Author(s):  
Sebastian von Enzberg ◽  
Athanasios Naskos ◽  
Ifigeneia Metaxa ◽  
Daniel Köchling ◽  
Arno Kühn
Keyword(s):  
Predictive Analytics ◽  
Spare Parts ◽  
Sensor Data ◽  
Industrial Plant ◽  
Industrial Manufacturing ◽  
Model Transfer ◽  
Holistic Integration ◽  
Quantitative Impact ◽  
Maintenance Process

Smart maintenance offers a promising potential to increase efficiency of the maintenance process, leading to a reduction of machine downtime and thus an overall productivity increase in industrial manufacturing. By applying fault detection and prediction algorithms to machine and sensor data, maintenance measures (i.e., planning of human resources, materials and spare parts) can be better planned and thus machine stoppage can be prevented. While many examples of Predictive Maintenance (PdM) have been proven successful and commercial solutions are offered by machine and part manufacturers, wide-spread implementation of Smart Maintenance solutions and processes in industrial production is still not observed. In this work, we present a case study motivated by a typical maintenance activity in an industrial plant. The paper focuses on the crucial aspects of each phase of the PdM implementation and deployment process, toward the holistic integration of the solution within a company. A concept is derived for the model transfer to a different factory. This is illustrated by practical examples from a lighthouse factory within the BOOST 4.0 project. The quantitative impact of the deployed solutions is described. Based on empirical results, best practices are derived in the domain and data understanding, the implementation, integration and model transfer phases.

Sign in / Sign up

Export Citation Format

Share Document