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Sustainability
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Modelling of Industrial Processes
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Modelling of Industrial Processes

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 6188

Special Issue Editors

Prof. Dr. Vincenzo Dovì

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Guest Editor
Interuniversity Centre HTR, Piazzale Aldo Moro 4, Rome, Italy
Interests: process synthesis; data reconciliation; multiobjective optimization; circular economy
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Valery Pavlovich Meshalkin, Academician of RAS

E-Mail Website
Guest Editor
Mendeleev University of Chemical Technology, Myusskaya Square 9 Moscow, Russia
Interests: resource saving processes; energy efficiency; supply chains; waste recycling
Special Issues, Collections and Topics in MDPI journals

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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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

Published Papers (2 papers)

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Research

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16 pages, 1089 KiB  
Article
An Accurate Inverse Model for the Detection of Leaks in Sealed Landfills
by Marco Vocciante and Valery Meshalkin
Sustainability 2020, 12(14), 5598; https://doi.org/10.3390/su12145598 - 12 Jul 2020
Cited by 10 | Viewed by 1526
Abstract
Leaks from landfills to underlying soil layers are one of the main problems that endanger the sustainability of waste disposal in landfills. Indeed, the possible failing of in-situ equipment can give rise to serious pollution consequences or costly inspection work in the landfill [...] Read more.
Leaks from landfills to underlying soil layers are one of the main problems that endanger the sustainability of waste disposal in landfills. Indeed, the possible failing of in-situ equipment can give rise to serious pollution consequences or costly inspection work in the landfill body. In this paper, we develop the time dependent mathematical relationship between the concentration of water at the surface of the landfill and the flux at the bottom of the landfill. This makes it possible to detect a leak using non-expensive measurements made at the surface of the landfill. The resulting model is obtained by analytically solving Richard’s equation with a piecewise linear boundary condition at the bottom. The unknown coefficients of the piecewise linear functions, which can be estimated using the measurements at the surface, provide the necessary information for detecting leaks. The algorithm has been numerically tested using simulated data of rain precipitation. The method proposed could be conveniently used to complement the usual monitoring techniques due to the limited costs of its implementation. Full article
(This article belongs to the Special Issue Modelling of Industrial Processes)
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Review

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15 pages, 866 KiB  
Review
Sustainability in ElectroKinetic Remediation Processes: A Critical Analysis
by Marco Vocciante, Vincenzo G. Dovì and Sergio Ferro
Sustainability 2021, 13(2), 770; https://doi.org/10.3390/su13020770 - 14 Jan 2021
Cited by 40 | Viewed by 4199
Abstract
In recent years, the development of suitable technologies for the remediation of environmental contaminations has attracted considerable attention. Among these, electrochemical approaches have gained prominence thanks to the many possible applications and their proven effectiveness. This is particularly evident in the case of [...] Read more.
In recent years, the development of suitable technologies for the remediation of environmental contaminations has attracted considerable attention. Among these, electrochemical approaches have gained prominence thanks to the many possible applications and their proven effectiveness. This is particularly evident in the case of inorganic/ionic contaminants, which are not subject to natural attenuation (biological degradation) and are difficult to treat adequately with conventional methods. The purpose of this contribution is to present a critical overview of electrokinetic remediation with particular attention on the sustainability of the various applications. The basis of technology will be briefly mentioned, together with the phenomena that occur in the soil and how that will allow its effectiveness. The main critical issues related to this approach will then be presented, highlighting the problems in terms of sustainability, and discussing some possible solutions to reduce the environmental impact and increase the cost-effectiveness and sustainability of this promising technology. Full article
(This article belongs to the Special Issue Modelling of Industrial Processes)
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