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Sustainable and Safe Process Design and Operation

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 2127

Special Issue Editors

Safety and Security Science Section, Department of Values, Technology, and Innovation, Faculty of Technology, Policy, and Management, Delft University of Technology, Delft, The Netherlands
Interests: chemical process safety; quantitative risk assessment; quantitative resilience assessment; offshore safety; environmental management; risk-based decision making
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

In the process industries, operators are eager to know how to progress their operations safely and economically. At the same time, regulators are keen to learn how to develop regulations, standards, and guidance that can assure sustainability and safety concerning environmental and social aspects. In essence, both sustainability and safety-related studies focus on the same three primary elements: people, planet, and profits. The analyses performed in these studies are often crosslinked. Thus, it would be beneficial to consider sustainability and safety factors integrally in process design and operation. However, the existing literature does not reflect this perspective well. 

Complications arise as engineering and regulatory schemes fall increasingly under technical, economic, environmental, human, and societal constraints. Intensive and extensive research is demanded by both operators and regulators to acquire a better understanding of sustainability and safety analytics within an integrated framework. 

For the context mentioned above, the Special Issue aims to consolidate the literature on integrated sustainability and safety analytics related to process design and operation and provide an overview of the state-of-the-art of challenges and potential solutions. The systems of interest may include chemical, mining, energy, logistics and transportation, and waste treatment systems. This Special Issue will invite original papers dealing with but not limited to the following topics:

  • Process sustainability and safety indicators and indices;
  • Decision-support methods and tools for improving process sustainability and safety;
  • Regulatory provisions emphasizing process sustainability and safety;
  • Integrated sustainability and safety analytics for process systems; and
  • Innovation in data collection and analytics for process sustainability and safety research.

Prof. Genserik Reniers
Dr. Ming Yang
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

  • process safety
  • process sustainability
  • risk management
  • impact assessment
  • consequence assessment
  • regulatory provision
  • data analytics
  • risk governance
  • safety-by-design
  • sustainability-by-design

Published Papers (1 paper)

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Research

19 pages, 62019 KiB  
Article
Design of a Spatial Data Model for the Sustainability of Population Sheltering Processes in the Czech Republic
by Jakub Rak, Pavel Tomášek and Petr Svoboda
Sustainability 2021, 13(24), 13503; https://doi.org/10.3390/su132413503 - 07 Dec 2021
Viewed by 1518
Abstract
This article is focused on the creation of a data model of an information system to support the processes of population sheltering (PoS). PoS processes have undergone significant changes in the Czech Republic. The PoS system was transformed for the use of improvised [...] Read more.
This article is focused on the creation of a data model of an information system to support the processes of population sheltering (PoS). PoS processes have undergone significant changes in the Czech Republic. The PoS system was transformed for the use of improvised shelters. For sustainable PoS, it is necessary to standardize the approach of crisis management staff. Key research hypotheses: the data model must respect the methodological framework of planning and implementation of the PoS, especially when used for the design and implementation of the improvised shelters; the standardization of residential buildings can be used to facilitate and streamline the sustainable process of planning of the PoS; the unified data model of the PoS can be considered suitable for standardization and development in the field of sustainable planning and implementation of the PoS. Softwares such as SW QGIS desktop 2.6.0, OpenStreetMap (OSM) spatial database, ESRI shapefile format, and S-JTSK/Krovak East North 5514 coordinate system were used for the verification of the spatial data model, and ASP.NET MVC 4.7.2 Microsoft SQL Server Express 2019, jQuery 3.3.1, Bootstrap 3.4.1, Kendo UI 2019.1.220, and virtual Windows Server 2016 were used for the implementation of the physical data model. The physical data model substantiates the benefits. Full article
(This article belongs to the Special Issue Sustainable and Safe Process Design and Operation)
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