Symmetry in Green Technologies: Design, Optimization, and Applications

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Engineering and Materials".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 4442

Special Issue Editors


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Guest Editor
Faculty of Engineering, Universidad Panamericana Sede Guadalajara, Zapopan CP 45010, Mexico
Interests: power electronics; DC-DC converters; optimization of power electronics systems; modelling and control of power converters
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Guest Editor
Department of Electric Power Engineering, Faculty of Electrical Engineering and Informatics, Budapest University of Technology of Economics, Egry J. Street 18, H-1111 Budapest, Hungary
Interests: high voltage technology; cables; insulation; nuclear power plant

Special Issue Information

Dear Colleagues,

Green technologies are essential for the development of future industries and living environments. Green technologies allow the performance of all activities of daily life without producing atmospheric emissions or contributing to climate change. One of the main fields in green technology is the production of electricity from renewable energy sources. The design, optimization, and application of green technology are very active in the academic, research, and industrial arenas.

In the field of electricity generation, wind energy generation and photovoltaic panels are already operating around the world. Furthermore, fuel cell stacks are being developed to join the other green technologies very soon. The adequate design and optimization of green technologies are important because their applications depend strongly on their cost.

In industrial applications, the optimization of resources can lead to a reduction not only in the cost of products but also in their carbon footprint. This Special Issue is focused on the design, modeling, optimization, and application of green technologies, with a special emphasis on electricity generation and industrial applications. DC–DC converters are one of the main topics in the electrical power transformation for green technologies, where symmetric topologies such as double dual topologies are being investigated.

Prof. Dr. Julio Cesar Rosas Caro
Prof. Dr. Zoltán Ádám Tamus
Guest Editors

Manuscript Submission Information

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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

  • electricity generation with photovoltaic (PV) panels and/or fuel cell (FC) stacks
  • symmetric power electronics converters such as double dual topologies
  • power electronics topologies with symmetric switching ripple cancellation
  • optimization and management of resources in industrial applications
  • mathematical models for the optimization of symmetric or balanced phenomena
  • heuristic optimization algorithms and applications
  • metaheuristic optimization algorithms and applications
  • new optimization algorithms and applications
  • optimization of resources in industrial applications

Published Papers (3 papers)

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Research

26 pages, 30484 KiB  
Article
Investigation of the Structural Dependence of the Cyclical Thermal Aging of Low-Voltage PVC-Insulated Cables
by Semih Bal and Zoltán Ádám Tamus
Symmetry 2023, 15(6), 1186; https://doi.org/10.3390/sym15061186 - 01 Jun 2023
Cited by 3 | Viewed by 1118
Abstract
The increasing penetration of distributed generation sources in low-voltage distribution grids, electric vehicles, and new appliances from the consumer side can generate short repetitive overloads on the low-voltage cable network. This work investigates the change in the dielectric properties of low-voltage cable insulation [...] Read more.
The increasing penetration of distributed generation sources in low-voltage distribution grids, electric vehicles, and new appliances from the consumer side can generate short repetitive overloads on the low-voltage cable network. This work investigates the change in the dielectric properties of low-voltage cable insulation caused by short-term overloads, examining how the cable structure affects the dielectric characteristics of the cable specimens in the case of cyclic short-term thermal aging. PVC-insulated low-voltage cable samples were exposed to an accelerated aging test in a temperature-controlled oven after changing their structures by removing different layers. Three aging cycles, each of six hours, were applied to the samples. After each cycle, the tan δ and capacitance were measured by an Omicron DIRANA Dielectric Response Analyzer in the laboratory at room temperature 24 ± 0.5 °C. Furthermore, the polarization and depolarization currents were also studied. The results show that changing the cable structure impacts the dielectric parameters; in particular, the effect of the belting layer is significant. From the point of view of aging, the PVC belting layer protects the diffusion of the plasticizers of the inner structure. The findings of the study show that an asymmetric aging phenomenon can be observed in different polymeric components of the cables, even though the cables were aged in an air-circulated oven ensuring a homogeneous temperature distribution in the samples. Full article
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14 pages, 2049 KiB  
Article
Location Selection of Metro-Based Distribution Nodes for Underground Logistics System with Bi-Level Programming Model
by Changjiang Zheng, Chen Zhang, Junze Ma, Fei Wu and Kai Sun
Symmetry 2022, 14(11), 2411; https://doi.org/10.3390/sym14112411 - 14 Nov 2022
Cited by 2 | Viewed by 1364
Abstract
The main purpose of the study was to apply symmetry principles to general mathematical modeling based on a bi-level programming model in order to select the optimal nodes of the underground metro-based logistics system (M-ULS). The first step was to select the metro [...] Read more.
The main purpose of the study was to apply symmetry principles to general mathematical modeling based on a bi-level programming model in order to select the optimal nodes of the underground metro-based logistics system (M-ULS). The first step was to select the metro stations as alternative logistics distribution nodes based on the existing metro network. Secondly, given the requirements of suppliers and demanders, a bi-level programming model was built based on symmetry principles to minimize the total cost of logistics distribution nodes, including construction cost, transport cost, and fixed cost. The third objective was to use an efficient heuristic algorithm to solve the model to obtain the optimal location of the nodes of the logistics distribution. Lastly, Nanjing’s Metro Line 2 was used as an example to validate the efficacy of the proposed model. The results of the case indicate that it is possible to deliver goods from logistics distribution nodes to demanders using the excess capacity of the metro, and the proposed bi-level programming model for M-ULS can be used to select suitable metro stations as distribution nodes and achieve the lowest cost on both the supply and demand sides of logistics while still ensuring the green and efficient transport of logistics services. References and suggestions for planning and selecting the location of logistics distribution nodes based on the metro network in the future can be found in this article. Full article
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16 pages, 2409 KiB  
Article
Numerical Optimization of the Capacitors Selection in the MSBA Converter to Reduce the Output Voltage Ripple
by Avelina Alejo-Reyes, Alma Rodríguez, Abraham Mendoza and Julio C. Rosas-Caro
Symmetry 2022, 14(11), 2383; https://doi.org/10.3390/sym14112383 - 11 Nov 2022
Cited by 1 | Viewed by 931
Abstract
DC–DC power electronics converters are widely used in many applications, such as renewable energy systems. The multistage-stacked boost architecture (MSBA) converter is a large voltage gain converter whose PWM scheme may reduce a percentage of the output voltage ripple, taking advantage of the [...] Read more.
DC–DC power electronics converters are widely used in many applications, such as renewable energy systems. The multistage-stacked boost architecture (MSBA) converter is a large voltage gain converter whose PWM scheme may reduce a percentage of the output voltage ripple, taking advantage of the symmetry of the voltage signals in capacitors (they are triangular waveforms) to have a symmetry cancelation. The switching ripple is unavoidable; the correct selection of components can reduce it, but this may result in a large amount of stored energy (larger size). The selection of capacitors influences the output voltage ripple magnitude. This article proposes a design methodology that combines a recently introduced PWM scheme with a numerical optimization method to choose the capacitors for the MSBA converter. The objective is to minimize the output voltage ripple by choosing two capacitors simultaneously while ensuring the constraint of a certain (maximum) amount of stored energy in capacitors is not overpassed. The internal optimization was performed with the differential evolution algorithm. The results demonstrate that the proposed method that includes numerical optimization allows having a very low output voltage ripple with the same stored energy in capacitors compared to the traditional converter. In a design exercise, up to 60% reduction was observed in the output voltage ripple with the same stored energy in capacitors. Full article
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