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  Subjects -> ELECTRONICS (Total: 207 journals)
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Facta Universitatis, Series : Electronics and Energetics
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Print) 0353-3670 - ISSN (Online) 2217-5997
Published by U of Niš Homepage  [11 journals]
  • REVIEWING THE PHOTOVOLTAIC POTENTIAL OF BIJELJINA IN THE REPUBLIC OF
           SRPSKA

    • Authors: Ivana Radonjic Mitic, Tomislav Pavlović, Dragoljub Mirjanić, Darko Divnić, Lana Pantić
      Pages: 465 - 483
      Abstract: To estimate PV potential of Bijeljina, PVGIS and SOLARGIS databases were used. The results showed that Bijeljina municipality has an average daily PV power potential of 3.50 kWh/kWp, thus belonging to areas with the favorable mid-range PV power potential values. Average levelized cost of electricity is $0.12/kWh, consequently making PV technologies in Bijeljina also economically competitive with conventional power-generating sources. In the light of the rapid development of photovoltaic technology, this paper gives a critical review of previous studies and suggests that the application of PV technologies has become even more attractive. High-efficiency PV modules and grid inverters were tested on examples of roof-mounted PV systems and ground-mounted PV system using specialized PVSYST software. Comparison of the obtained results with previous studies gave a clear picture with advantages of these new solutions, and further support for PV technologies utilization.
      PubDate: 2023-12-15
      Issue No: Vol. 36, No. 4 (2023)
       
  • ELECTRO-ACOUSTIC ANALOGIES BETWEEN THERMOELASTIC COMPONENT OF THE
           PHOTOACOUSTIC SIGNAL AND LOW-PASS RC FILTER

    • Authors: Neda Stanojevic, Dragana K. Markushev, Sanja M. Aleksic, Dragan S. Pantic, Dragan V. Lukic, Marica N. Popovic, Dragan D. Markushev
      Pages: 485 - 497
      Abstract: This paper presents a new approach to the thermal characterization of aluminum, based on the electro-acoustic analogy between the thermoelastic component of the photoacoustic signal and the passive RC low-pass filter. The analogies were used to calculate the characteristic thermoelastic cut-off frequencies of the photoacoustic component and obtain their relationship with the thickness of the aluminum samples. Detailed numerical analysis showed that the required relationship is linear in the log-log scale and can serve as a reference curve for the given material. The results of the numerical analysis were also confirmed experimentally.
      PubDate: 2023-12-15
      Issue No: Vol. 36, No. 4 (2023)
       
  • RECENTLY DEVELOPED INDUSTRIAL DIELECTRIC ENABLES RF CAPACITORS FOR
           HIGH-KVAR RESONANT TANK USE

    • Authors: Janis Blahins, Aigars Apsitis, Arman Bzhishkian
      Pages: 499 - 507
      Abstract: This article describes designer's experience with radiofrequency (RF) high reactive power capacitors problems, which in many cases may be a critical element for various devices - like ICP plasma torches; SMPS converters; induction heaters; radio transmitters etc. New materials at the markets allow to solve the problem that at small capacitance - high voltage - high amperage combination, capacitors have to withstand circulating reactive power load from kVAR to MVAR range, hence the value of loss factor tan(δ) of the selected insulator material has a critical role, to minimize overheating. Few designer strategies are disputed, and convincing experimental data on selected new industrial materials are presented.
      PubDate: 2023-12-15
      Issue No: Vol. 36, No. 4 (2023)
       
  • COMPACT DUAL-BAND CIRCULARLY POLARIZED ANTENNA FOR WIRELESS COMMUNICATIONS

    • Authors: Karunesh Srivastava, Mayuri Kulshreshtha
      Pages: 509 - 518
      Abstract: P-shaped dual-band circularly polarized (CP) antenna for wireless communications with right-hand circular polarization (RHCP) and left-hand circular polarization (LHCP) is presented in this article. Optimized electrical volume of the proposed structure is 0.46λ 0 × 0.46λ 0 × 0.02λ 0 at 4.4 GHz resonant frequency. The measured -10 dB impedance bandwidths are 50.7% and 5.7% for (3.37-5.60 GHz) and (10.82-11.46 GHz) resonating bands at frequencies 4.4 GHz and 11.4 GHz respectively. The measured 3 dB impedance axial-ratio bandwidths for (4.65-5.13 GHz) and (11.21-11.52 GHz) bands are 9.7% and 2.7%. Agreement of simulation results with measured results ensure the excellent circular polarization at frequencies 4.96 GHz and 11.4 GHz.
      PubDate: 2023-12-15
      Issue No: Vol. 36, No. 4 (2023)
       
  • SPARSE ECHO CANCELLATION USING VARIANTS OF LEAST MEAN FOURTH AND LEAST
           MEAN SQUARE ALGORITHMS

    • Authors: Swastika Mishra, Jibendu Sekhar Roy
      Pages: 519 - 532
      Abstract: Echo cancellation is the most essential and indispensable component of telephone networks. The impulse responses of most of the networks are sparse in nature; that is, the impulse response has a small percentage of its components with a significant magnitude (large energy), while the rest are zero or small. In these sparse environments, conventional adaptive algorithms like least mean square (LMS) and normalized LMS (NLMS) show substandard and inferior performances. In this paper, the performances of the normalized least mean square (NLMS) algorithm, the normalized least mean fourth (NLMF) and the proportionate normalized least mean fourth (PNLMF) are compared for sparse echo cancellation. The sparseness of both the echo response and the input signal is exploited in this algorithm to achieve improved results at a low computational cost. The PNLMF algorithm showed better results and faster convergence in sparse and non sparse systems, but its results in sparse environments are more impressive. The NLMF algorithm shows good results in sparse environments but not in non-sparse environments. The PNLMS algorithm can be considered superior to the NLMF and NLMS algorithms with respect to the error profile. A modified algorithm, the sparse controlled modified proportionate normalized LMF (SCMPNLMF) algorithm, is proposed, and its performances are compared with the other algorithms.
      PubDate: 2023-12-15
      Issue No: Vol. 36, No. 4 (2023)
       
  • MULTI–CRITERIA HOME ENERGY MANAGEMENT SYSTEM SELECTION FOR THE SMART
           GRID SUPPORT

    • Authors: Aleksandar Janjic, Lazar Velimirović, Jelena Velimirović
      Pages: 533 - 551
      Abstract: Home energy management systems (HEMS) are increasingly used as a tool that creates optimal consumption and production schedules for Smart Grids, by considering objectives such as energy costs, environmental concerns, load profiles, and consumer comfort. Multiple criteria selection of optimal HEMS seems to be superior to the traditional cost benefit assessment in measuring intangibles and soft impacts, introducing qualitative aspects in the analysis. This paper proposes an algorithm for the selection of optimal HEMS, using the fuzzy AHP method. This methodological framework provides a multi-criteria approach for estimating the benefits and costs of different HEMS within the Smart Grid uncertain environment. This method allows the decision makers to incorporate unquantifiable, asymmetrical, incomplete, non-obtainable information and partially ignorant facts into a decision model. Four criteria and eleven performances for the optimal solution selection are defined. The method is successful in the evaluation of alternatives in the presence of heterogeneous criteria and uncertain environment. The methodology is illustrated on the choice of HEMS from the power distribution company perspective. It is concluded that the evaluation of weighting factors has a decisive character in the choice of the final one of several alternative variants. Fuzzification of input values can also contribute to a more flexible view of the given problem and analysis of sensitivity to various input parameters.
      PubDate: 2023-12-15
      Issue No: Vol. 36, No. 4 (2023)
       
  • IMPACT OF HIGH-Κ METAL OXIDE AS GATE DIELECTRIC ON THE CERTAIN ELECTRICAL
           PROPERTIES OF SILICON NANOWIRE FIELD-EFFECT TRANSISTORS: A SIMULATION
           STUDY

    • Authors: Sanat Kr. Das, Bibek Chettri, Prasanna Karki, Bhakta Kunwar, Pronita Chettri, Bikash Sharma
      Pages: 553 - 565
      Abstract: Standard Metal-Oxide-Semiconductor Field Effect Transistors (MOSFETs) are gaining prominence in low-power nanoscale applications. This is largely attributed to their proximity to physical and thermal limits, rendering them a compelling option for energy-efficient electronic devices. In this study, we hypothesized that the high-κ HfO2 in a quasi-ballistic SiNW MOSFET acts as the gate dielectric. In this case, the data from the TCAD simulation and the model demonstrated exceptional agreement. The proposed model for a SiNW MOSFET with high-κ HfO2 exhibits a consistently increasing drain current, albeit with a smaller magnitude compared to a quasi-ballistic device (QBD). Additionally, it shows reduced mobility and decreased transconductance when considering the combined effects of scattering and temperature. As gate voltage increases, temperature-induced transconductance decline in SiNW MOSFETs becomes significant. Our method is suitable for modeling scattered SiNW MOSFETs with temperature effects, as TGF values are similar in the subthreshold region for both Near Ballistic and Scattered SiNW MOSFET models.
      PubDate: 2023-12-15
      Issue No: Vol. 36, No. 4 (2023)
       
  • ALGORITHM TO EXTRACT MODEL PARAMETERS OF PARTIALLY SHADED PHOTOVOLTAIC
           MODULES

    • Authors: Adelmo Ortiz-Conde, Francisco J. García-Sánchez
      Pages: 567 - 576
      Abstract: Uneven irradiation, due to partial shading, can produce hot spots in photovoltaic modules. A classical solution to avoid hot spot consists in using bypass diodes in antiparallel to series-connected cell groups. This solution brings a new problem: the presence of multiple local maximum power points. We present a simple algorithm for fast extraction of the model parameters of partially shaded photovoltaic panels with bypass diodes. An example of the application of the proposed algorithm is illustrated using the data from a real monocrystalline silicon technology photovoltaic module measured under uniform illumination and partial shading conditions. The possibility of using the algorithm as a practical approximate solution is also discussed. The simulations, using only four parameters, represent reasonably well the measured data.
      PubDate: 2023-12-15
      Issue No: Vol. 36, No. 4 (2023)
       
  • DEVELOPMENT OF THE ALGORITHM FOR IMPLEMENTATION OF ENERGY-EFFICIENT
           COMPRESSED AIR SYSTEMS WITH ENERGY RECOVERY

    • Authors: Milan Šešlija, Vule Reljić, Valentina Mladenović, Miroslav Novaković, Zoran Jovanović
      Pages: 577 - 588
      Abstract: In order to improve the energy efficiency of pneumatic systems, this paper presents an algorithm for the devlopment and implementation of an energy efficient pneumatic control system with energy recovery of compressed air. Two different ways of forming closed pneumatic circuits that reuse already used compressed air are presented. Compared to traditional pneumatic control, significant energy savings are achieved.
      PubDate: 2023-12-15
      Issue No: Vol. 36, No. 4 (2023)
       
  • ENHANCING CIRCULAR MICROSTRIP PATCH ANTENNA PERFORMANCE USING MACHINE
           LEARNING MODELS

    • Authors: Rachit Jain, Vandana Vikas Thakare, P.K. Singhal
      Pages: 589 - 600
      Abstract: Machine learning (ML) will be heavily used in the future generation of wireless communication networks. The development of diverse communication-based applications is expected to boost coverage and spectrum efficiency in relation to conventional systems. ML may be employed to develop solutions in a wide range of domains, such as antennas. This article describes the design and optimization of a circular patch antenna. The optimization is done through ML algorithms. Six ML models, Decision Tree, Random Forest, XG-Boost Regression, K-Nearest Neighbour (KNN), Gradient Boosting Regression (GBR), and Light Gradient Boosting Regression (LGBR), were employed in this work to predict the antenna's return loss (S11). The findings show that all of these models work well, with KNN having the highest accuracy in predicting return loss of 98.5%. The antenna design & optimization process can be accelerated with the support of ML. These developments allow designers to push beyond the limits of antenna technology, optimize performance, and offer novel solutions for emerging applications such as 5G, 6G, IoT, and flexible wireless communication systems).
      PubDate: 2023-12-15
      Issue No: Vol. 36, No. 4 (2023)
       
 
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  Subjects -> ELECTRONICS (Total: 207 journals)
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