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Modelling of Industrial Processes

Special Issue Information

Dear Colleagues,

The modelling of industrial processes became of age when the necessary theoretical knowledge in the fundamentals of science (such as fluid mechanics, thermodynamics, materials science, chemical kinetics) became available for the quantitative description of the mechanisms underlying industrial processes through a set of mathematical relationships. This made it possible to develop design techniques and operation procedures capable of augmenting the profitability of plants, and of reducing, under the pressure of public concern, the resulting environmental impact.
The rapid growth in computational power of the last decades has enabled scientists and engineers to apply rigorous science and, thus, to develop highly sophisticated design and operation algorithms, which have frequently found their ways into powerful commercial software packages.
While some milestone achievements have been attained, new opportunities and challenges are looming up. The impending new industrial revolution, which will dramatically change the scale and scope of industrial production, is progressing at an unprecedented pace, boosted by further advances in basic science, such as nanotechnology, biotechnology, artificial intelligence, and big data analysis. New powerful tools are expected to enhance the overall sustainability of the industrial sector by increasing energy efficiency and resource-saving through improved process intensification and total site integration. Additionally, industrial processes, facing new political, commercial, and financial scenarios, will have to strengthen resiliency and flexibility in order to withstand sudden supply chains collapses, trade wars, and price oscillations.
Thus, industrial revolution, sustainability enhancement, and management of uncertainty are the new key issues. They will also promote innovations in traditional areas, such as process optimization, optimal control, efficient process synthesis, advanced scale-up techniques, and safety considerations.
We believe this is the present role of the modeling of industrial processes, and these are the areas in which we ask the scientific community to contribute their expertise and their achievements to this Special Issue.

You may choose our Joint Special Issue in Energies.

Prof. Dr. Vincenzo Dovì
Prof. Dr. Valery Pavlovich Meshalkin
Guest Editors

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Keywords

  • Big data in process design and operation
  • Circular economy
  • Data reconciliation
  • Energy conservation
  • Energy efficiency
  • Industrial revolution 4.0
  • Optimal control
  • Process intensification
  • Process integration
  • Resource saving
  • Safety analysis
  • Scale-up techniques
  • Stochastic optimization
  • Supply chains analysis
  • Waste recycling

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Sustainability - ISSN 2071-1050