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Estimating Environmental Impacts in Modeling the Sustainable Development of Machines and Technical Systems

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Environmental Sustainability and Applications".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 1589

Special Issue Editors


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Guest Editor
Department of Agricultural, Forestry and Transport Machines, Faculty of Production Engineering, University of Life Sciences in Lublin, 20-612 Lublin, Poland
Interests: agricultural machines and equipment; organization and management of production processes of agricultural and agricultural transport

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Guest Editor
Department of Machines and Technical Systems, Faculty of Mechanical Engineering, University of Science and Technology, 85-796 Bydgoszcz, Poland
Interests: design; construction; use of industrial and wind energy facilities; modeling of manufacturing processes machinery and devices; life cycle; sustainability; circular economy

Special Issue Information

Dear Colleagues,

Life cycle approaches are key to identifying and reducing the environmental burden of products and processes. Sustainable development is socio-economic development that ensures that the needs of present and future generations are met without worsening quality of life in three areas: economic, ecological and social. Life cycle analysis is a standardized framework for assessing the environmental impact of a product or process that incorporates complexity, leading to generalized conclusions about the entire life cycle. Each product affects the environment, and the life cycle of most products is long and complex. Therefore, the goal is to strive to minimize the product's environmental impact in all phases of the life cycle.

For this purpose, the Life Cycle Assessment (LCA) technique "from the cradle to the grave" is most often used, from the production and assessment of the environmental impact of the materials used in the production of a given product, to its disposal or recycling. Life cycle assessment is also used for the comparative analysis of different systems or products. The LCA technique is also a useful tool for the evaluation of installation projects of renewable energy sources. It is an effective instrument supporting the implementation of this type of investment, and also indicates how to increase the effectiveness of its operation, while minimizing its negative impact on the environment. Each type of investment, including renewable energy, interferes with the environment and disturbs the natural balance of the ecosystem. Wherever humans appear, there is a risk of changing the naturally occurring natural conditions. In fact, there is no place on Earth where the natural equilibrium would not be disturbed in some way. Therefore, it is necessary to prevent and limit the effects of human activity. We must also decide how to reduce environmental damage and promote sustainable development.

Renewable energy installations can also have a significant impact on the environment. The positive impact of renewable energy, in the form of renewable energy production and the limitation of the use of fossil fuels, may lose its importance in the global perspective in view of the amount of energy and other media used to produce structural elements. Important too is the question of the disposal of waste produced after the demolition of the object, which may indirectly contribute to, inter alia, the impoverishment of natural resources, climate change, and impacts on human health. For most types of renewable energy sources, the environmental impacts do not arise in the exploitation phase, but in the production and disposal phase.

The aim of this Special Issue is to collect creative and research papers presenting original research results, developed using innovative methods for the integrated sustainable development assessment of the life cycles of machines and technical systems.

Prof. Dr. Andrzej Marczuk
Dr. Robert Kasner
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

  • wind farms
  • photovoltaic installations
  • renewable energy sources
  • sustainable development
  • processing and manufacturing of materials
  • production processes
  • life cycle assessment
  • exploitation of machines and devices
  • environmental protection
  • waste management/recycling

Published Papers (1 paper)

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Research

8 pages, 711 KiB  
Article
About Calculation and Forecast of Temperature in the Layer Cell of Self-Heating of Raw Materials in a Silo
by Vasil Olshanskyi, Serhii Kharchenko, Farida Kharchenko, Stepan Kovalyshyn, Taras Shchur, Yuriy Gabriel, Patrycja Bałdowska-Witos, Andrzej Tomporowski and Robert Kasner
Sustainability 2022, 14(21), 14362; https://0-doi-org.brum.beds.ac.uk/10.3390/su142114362 - 02 Nov 2022
Cited by 1 | Viewed by 962
Abstract
The article clarifies an approximate variant for calculating the temperature in an inhomogeneous layer cell without a clear boundary under the assumption of significant distance in its center between the upper and lower ends of the silo when heat exchange conditions have little [...] Read more.
The article clarifies an approximate variant for calculating the temperature in an inhomogeneous layer cell without a clear boundary under the assumption of significant distance in its center between the upper and lower ends of the silo when heat exchange conditions have little effect on the development of temperature in the layer cell due to poor thermal conductivity. The normal Gaussian law concerning distribution of thermal sources in the cell on an axis of a silo is accepted. The integral cosine of the Fourier transform is used to construct the analytical solution of the nonstationary thermal conductivity problem. A compact formula for calculating the increase in excess temperature in the center of the self-heating cell over time is derived and used to identify the parameters of the cell. The change in temperature at other points of the raw material is expressed through incomplete gamma function that is reduced to the probability integral. Calculations show that for the selected distribution of thermal sources, the temperature increase slows down rapidly with separation from the center of the cell. The possibility of determining the pattern distribution of the localized field of excess ambient temperature over time is proved. Examples of density identification of thermal sources are given. After identification, the calculation formulas become consistent with the experiment and suitable for the theoretical prediction of temperature rise in the raw material. The approbation of the proposed mathematical expressions to identify the parameters of the self-heating process of raw materials showed high accuracy relative to experimental data with a deviation of 0.01–0.015%. It is possible not only to determine the parameters of the self-heating cell but also to predict the time of reaching a flammable temperature in it. Full article
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