Publications Repository - Gdańsk University of Technology

Page settings

polski
Publications Repository
Gdańsk University of Technology

Show publications from the year

Publications from the year 2024

Show all
  • An intelligent cellular automaton scheme for modelling forest fires
    • Joan Boters Pitarch
    • María Signes-Pont
    • Julian Szymański
    • Higinio Mora-Mora
    2024 Full text Ecological Informatics

    Forest fires have devastating consequences for the environment, the economy and human lives. Understanding their dynamics is therefore crucial for planning the resources allocated to combat them effectively. In a world where the incidence of such phenomena is increasing every year, the demand for efficient and accurate computational models is becoming increasingly necessary. In this study, we perform a revision of an initial proposal which consists of a two-dimensional propagation model based on cellular automata (2D-CA), which aims to understand the dynamics of these phenomena. We identify the key theoretical weaknesses and propose improvements to address these limitations. We also assess the effectiveness and accuracy of the model by evaluating improvements using real forest fire data (Beneixama, Alicante 2019). Moreover, as a result of the theoretical modifications performed, we introduce a novel intelligent architecture that seeks to capture relationships between system cells from the data. This new architecture has the ability to advance our understanding of forest fire dynamics, contributing to both the evaluation of existing protocols and more efficient firefighting resource management.

  • An inverse algorithm for contact heat conduction problems with an interfacial heat source based on a first-order thermocouple model
    • Oleksii Nosko
    2024 Full text INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

    Inverse problems of contact heat conduction with an interfacial heat source are common in various fields of science, engineering and technology. In this study, an algorithm for their solution is developed based on an inverse parametric optimisation method with an impulse response function describing the heat partition and contact heat transfer. A first-order thermocouple model with a time constant parameter is embedded in the impulse response function. The specific power of the heat source is sought in the form of a polynomial from the condition of least-squares deviation of the simulated temperature from the temperature samples obtained by a thermocouple. Compared to the classical methods of simple inverse convolution and sequential function specification, the algorithm proves to be accurate in a substantially larger region of variation of the heating duration and time constant, covering slow-response thermocouple measurements. Additionally, the algorithm is significantly more robust against noise with a sufficient number of temperature samples. The applicability of the algorithm is demonstrated by solving inverse problems of contact heat conduction typical for sliding friction, laser and electric resistance welding at different thermal contact conditions and ratios of the time constant to the heating duration.

  • An optimized dissolved oxygen concentration control in SBR with the use of adaptive and predictive control schemes
    • Tomasz Zubowicz
    • Tomasz Ujazdowski
    • Zuzanna Klawikowska
    • Robert Piotrowski
    2024 Full text

    This paper addresses the problem of optimizing control of the aeration process in a water resource recovery facility (WRRF) using sequencing batch reactor (SBR), one that affects the efficiency of wastewater treatment by stimulating metabolic reactions of microorganisms through dissolved oxygen (DO) level control, and accounts for the predominant part of operating costs. Two independent approaches to DO control algorithm design based on nonlinear model-based predictive control (NMPC) with constraints and direct model reference adaptive control (DMRAC) are proposed and compared. Both algorithms were developed on the basis of utility models obtained by cognitive model simplification, however, both algorithms are characterized by a distinct mechanism to achieve control optimality and incorporate uncertainty. The NMPCbased algorithm solves an online optimization task by reducing the impact of uncertainty through feedback and estimating its influence by evaluating the differences between the internal model and measurements on a sliding prediction window. In contrast, DMRAC reduces the impact of uncertainty through the adaptation of control law parameters. Meanwhile, optimality is encoded in the reference model parameters reflecting the operation of the closed-loop system and in the independent parameters of the adaptation mechanism. Illustrations of the algorithms’ operation were provided by simulation experiments using a three-layer SBR model of the Swarzewo wastewater treatment plant with ASM3e-based reactions.

  • An Optimized Ka-Band Low Profile Dual-Polarized Transmitarray Antenna With 2D Beam Switching
    • Seyed Hashem Ramazannia Tuloti
    • Adam Lamęcki
    • Michał Mrozowski
    2024 Full text IEEE Access

    This article presents an optimized dual-polarized transmitarray antenna (TA) designed for MIMO applications at the Ka-band, capable of switching beams in two directions. The antenna aperture uses a small unit cell with three layers of Taconic RF-35 dielectric substrates, which can be easily fabricated using PCB technology. The unit cell achieved a 360-degree phase shift and a transmission magnitude exceeding –0.4 dB at 28 GHz. We used nine dual-polarized patch antennas in a cross shape, each with a 10.5 dBi gain at 28 GHz, to switch the beams in two directions without changing the feed location. We optimized the phase distribution in the TA aperture and adjusted the feed antenna’s F/D and tilt to achieve a high-gain antenna with low-gain roll-off during beam switching. The fabricated TA exhibited excellent agreement with the full-wave simulation results. It achieved ±15 degrees and ±30 degrees beam tilts in the x- and y- directions, with less than 0.8 dB gain roll-off for both polarizations

  • An optimized system for sensor ontology meta-matching using swarm intelligent algorithm
    • Abdul Lateef Haroon P S
    • Sujata N. Patil
    • Parameshachari Bidare Divakarachari
    • Przemysław Falkowski-Gilski
    • M. D. Rafeeq
    2024 Internet Technology Letters

    It is beneficial to annotate sensor data with distinct sensor ontologies in order to facilitate interoperability among different sensor systems. However, for this interoperability to be possible, comparable sensor ontologies are required since it is essential to make meaningful links between relevant sensor data. Swarm Intelligent Algorithms (SIAs), namely the Beetle Swarm Optimisation Algorithm (BSO), present a possible answer to ontology matching problems. This research focuses on a method for optimizing ontology alignment that employs BSO. A novel method for effectively controlling memory use and striking a balance between algorithm exploration and exploitation is proposed: the Simulated Annealing-based Beetle Swarm Optimisation Algorithm (SA-BSO). Utilizing Gray code for solution encoding, two compact operators for exploitation and exploration, and Probability Vectors (PVs) for swarming choosing exploitation and exploration, SA-BSO combines simulated annealing with the beetle search process. Through inter-swarm communication in every generation, SA-BSO improves search efficiency in addressing sensor ontology matching. Three pairs of real sensor ontologies and the Conference track were used in the study to assess SA-BSO's efficacy. Statistics show that SA-BSO-based ontology matching successfully aligns sensor ontologies and other general ontologies, particularly in conference planning scenarios.

  • An Overview of Sport and the Future Smart Cities
    • Aleksander Orłowski
    • Narek Parsamyan
    2024

    One of the main challenges for future cities is to strengthen the role of people and their activities. Therefore, sport provides an opportunity to engage in physical activity, connecting citizens to the city. The question of how sport influences the development of cities and the concept of future smart cities arises. The aim of this study is to examine the relationship between sport and the concept of smart cities by identifying sport factors in the literature. The article highlights different areas of influence of sport on the smart city concept through specific examples of the contribution of sport to urban development and the well-being of citizens. The study states that the consideration of sport in the context of smart cities is relevant and multidimensional, since sport is a factor for the development of city solutions using in “hard” projects such as infrastructural and technological ones, and “soft” projects relating to improving social inclusion and healthcare. Including sport as a building component of the smart city concept is a new perspective of city governance, which is so far rarely discussed and, therefore, important. Sport has a broad influence on the social, technological, and environmental evolution of cities, therefore, sport appears to be a relevant factor that should contribute to the debate on future city agendas. The research delivers the links between sport and smart cities, which is important for further scientific considerations on the insights of smart city, and explores the subject of the influence of sport on the evolution of cities of tomorrow.

  • Analiza czasochłonności docierania jednotarczowego powierzchni płaskich elementów ceramicznych - studium przypadku
    • Adam Barylski
    2024

    Przedstawiono analizę czasochłonności docierania elementów ceramicznych. Badano czasochłonność obróbki na dwóch docierarkach jednotarczowych o znacząco różniących się średnicach tarcz docierających. Porównano czasy jednostkowe docierania elementów płaskich z ceramiki technicznej Al2O3

  • Analiza doświadczalna wpływu długości zakotwienia pręta na zachowanie przyczepności w teście pull-out
    • Marcin Burdziński
    • Maciej Niedostatkiewicz
    2024 Full text Inżynieria i Budownictwo

    Artykuł prezentuje badania przyczepności przeprowadzone przy użyciu testu pull-out. Eksperymenty miały na celu ocenę wpływu długości zakotwienia na przyczepność w tym teście. Z przeprowadzonej analizy wynika, że długość styku pręt-beton znacząco wpływa na zachowanie przyczepności. Określa ona typ zniszczenia połączenia, wpływa na rozkład i wartość naprężeń w pręcie oraz rzutuje na przebieg krzywej przyczepność-poślizg, która jest kluczowym rezultatem testu pull-out.

  • Analiza numeryczna wpływu długości zakotwienia pręta na zachowanie przyczepności w teście pull-out
    • Marcin Burdziński
    • Maciej Niedostatkiewicz
    2024 Full text Inżynieria i Budownictwo

    W artykule przedstawiono symulacje numeryczne testu pull-out w programie ABAQUS. Symulacje miały na celu ocenienie wpływu długości zakotwienia pręta żebrowanego na przyczepność w tym teście, opierając się na wynikach przeprowadzonych eksperymentów. Interakcję pręta z betonem odwzorowano za pomocą kohezyjnej powierzchni kontaktu, wykorzystując skalibrowane krzywe przyczepność-poślizg, otrzymane z doświadczeń wykonanych w ramach badań własnych. Do zdefiniowania modeli materiałowych użyto parametrów mechanicznych betonu i stali wykorzystanych w testach. Przeprowadzona analiza wykazała, że długość zakotwienia znacząco wpływa na zachowanie przyczepności. Rezultaty symulacji numerycznych charakteryzują się dużą zbieżnością z badaniami laboratoryjnymi, zarówno pod kątem krzywej przyczepność-poślizg, jak i pracy materiałów.

  • Analiza numeryczna wpływu długości zakotwienia pręta na zachowanie przyczepności w teście pull-out
    • Marcin Burdziński
    • Maciej Niedostatkiewicz
    2024

    Artykuł przedstawia symulacje numeryczne testu pull-out przeprowadzone w programie ABAQUS. Celem analizy była ocena wpływu długości zakotwienia pręta żebrowanego na przyczepność. Interakcję pręta z betonem odwzorowano za pomocą kohezyjnej powierzchni kontaktu, wykorzystując skalibrowane krzywe zależności przyczepność-poślizg, otrzymane z badań własnych. W obliczeniach numerycznych wykorzystano parametry mechaniczne betonu i stali wykorzystanych w eksperymentach. Analiza wykazała istotny wpływ długości zakotwienia na zachowanie przyczepności. Wyniki symulacji numerycznych charakteryzują się wysoką zbieżnością z rezultatami eksperymentów, m.in. pod względem krzywej przyczepność-poślizg czy pracy materiałów.

  • Analiza techniczno-ekonomiczna zastosowania systemu magazynowania energii zasilanego z instalacji fotowoltaicznej
    • Blanka Jakubowska
    • Aleksandra Sierdzińska
    2024 Rynek Energii

    W artykule dokonano oceny celowości implementacji magazynu energii do instalacji fotowoltaicznej o mocy zainstalowanej 39,3 kW. W analizowanym przypadku prąd produkowany jest na potrzeby gospodarstwa sadowniczego oraz mieszkańców domu jednorodzinnego. Analiza, oparta na realnych danych rocznej eksploatacji systemu fotowoltaicznego, uwzględnia ilość wyprodukowanej energii nadwyżki energii przekazywanej do sieci i z niej pobieranej. Zebrane dane umożliwiły odpowiedni dobór pojemności akumulatorów. W ramach prowadzonej analizy określono ilość energii jaka możliwa jest do zmagazynowania, liczbę cykli pracy, koszty eksploatacyjne i inwestycyjne oraz koszt zaoszczędzonej energii. Przeprowadzona analiza opiera się na dwóch wariantach, wykorzystujących technologie baterii litowo-jonowych i kwasowo-ołowiowych.

  • ANALYSIS AND OPTIMIZATION OF ELECTRIC VEHICLE CHARGING PROCESSES IN TRANSACTIVE ENERGY SYSTEMS
    • Halyna Bielokha
    • Ryszard Strzelecki
    • Denys Derevianko
    • Ihor Radysh
    2024 Full text POWER ENGINEERING

    The implementation of smart charging of electric vehicles allows operators of local power networks and electricity suppliers to implement new business models for the interaction of electric vehicles with the network. In addition to the optimal selection of Microgrid capacities when charging electric vehicles, it is also important to use different charging methods. To satisfy the interests of all participants of local systems from an economic and technical point of view, the concept of transactional energy was chosen. The effect of different charge management methods on EV battery efficiency, such as two-stage charging (CC-CV), accelerated charging (AC) and alternative multi-level MSCC charging, has been investigated. The optimization of charging processes aims not only to increase the profit from the sale of electricity, but also to minimize charging costs by means of an optimal flow of electricity from the network to the car. The proposed objective function depends on the generation capacity of all sources included in the system, the state of charge of the storage systems, the time of day, the charging time of electric vehicles, the charging speed, and the price of electricity. The control system, solving the objective function, itself chooses and offers the consumer and the aggregator a charging method that, given the system parameters, will be optimal for all participants of the transactional system. Three charge methods were investigated by digital simulation for four different types of electric vehicles, all considered charge methods have high energy efficiency indicators that can be used as control methods for charging electric vehicles from local systems

  • Analysis of cyclone separator solutions depending on spray ejector condenser conditions
    • Milad Amiri
    • Paweł Ziółkowski
    • Jaroslaw Mikielewicz
    • Michał Klugmann
    • Dariusz Mikielewicz
    2024 APPLIED THERMAL ENGINEERING

    The core design strategy for minimizing CO2 emissions in gas power plant entails combining a spray ejector condenser (SEC) and separator to accomplish steam condensation and CO2 purification. This innovative process involves direct-contact condensation of steam with CO2, facilitated by interaction with a subcooled water spray, along with a cyclone separator mechanism intended for generating pure CO2. The investigation of the SEC section, both experimentally and analytically, provides crucial insights into its operational dynamics. Given the susceptibility of cyclone efficiency to fluctuations in SEC conditions, this research endeavors to examine the impacts of CO2 volumetric flow rate and droplet break-up within the SEC on the separation efficacy of the cyclone separator. Additionally, the impact of cone size on the performance of the cyclone has been investigated. Here, a three-dimensional, transient, and turbulent cyclone separator is numerically simulated using Ansys Fluent 2021 R1. The Reynolds Stress Model is employed to simulate turbulent flow, while a mixture model is utilized to replicate swirl two-phase flow within the separators. The findings revealed that reductions in steam and CO2 flow rates were associated with a decrease in outlet temperature but an increase in SEC inlet temperature, leading to a rise in temperature difference and heat transfer rate. Furthermore, an augmentation in cyclone cone size (from 0.2 to 0.5 m) resulted in enhanced separation efficiency (from 77.30% to 80.98%) alongside an elevation in pressure drop (from 6.08 Pa to 10.91 Pa), suggesting a compromise between CO2 purification and energy consumption. Additionally, elevated CO2 flow rates induced a rise in pressure drop and separation efficiency, ultimately achieving maximum efficiency at a rate of 24 g/s. Moreover, the exploration into droplet breakup manifesting in a boost in separation efficiency from 50.98% to 100% across droplet diameters ranging from 1 to 20 μm.

  • Analysis of dynamics of a map-based neuron model via Lorenz maps
    • Piotr Bartłomiejczyk
    • Frank Llovera Trujillo
    • Justyna Signerska-Rynkowska
    2024 Full text CHAOS

    Modeling nerve cells can facilitate formulating hypotheses about their real behavior and improve understanding of their functioning. In this paper, we study a discrete neuron model introduced by Courbage et al. [Chaos 17, 043109 (2007)], where the originally piecewise linear function defining voltage dynamics is replaced by a cubic polynomial, with an additional parameter responsible for varying the slope. Showing that on a large subset of the multidimensional parameter space, the return map of the voltage dynamics is an expanding Lorenz map, we analyze both chaotic and periodic behavior of the system and describe the complexity of spiking patterns fired by a neuron. This is achieved by using and extending some results from the theory of Lorenz-like and expanding Lorenz mappings.

  • Analysis of Ferroresonance Mitigation Effectiveness in Auxiliary Power Systems of High-Voltage Substations
    • Rafał Tarko
    • Wiesław Nowak
    • Jakub Gajdzica
    • Stanisław Czapp
    2024 Full text ENERGIES

    Ferroresonance in power networks is a dangerous phenomenon, which may result in overcurrents and overvoltages, causing damage to power equipment and the faulty operation of protection systems. For this reason, the possibility of the occurrence of ferroresonance has to be identified, and adequate methods need to be incorporated to eliminate or reduce its effects. The aim of this paper is to evaluate the effectiveness of ferroresonance damping in auxiliary power systems of high-voltage substations by selected damping devices. Laboratory experiments, the results of which created bases for the development of models of selected damping devices, are presented. These models were used to simulate the effectiveness of ferroresonance damping in an auxiliary power system of a 220/110 kV substation in the EMTP-ATP program. The analyses showed that control systems with different algorithms of operation are used in damping devices. This knowledge is important when selecting parameters and settings of the applied damping devices for a given network and the disturbances in it. The presented research results have proved the effectiveness of commercially available damping devices, provided their parameters are correctly coordinated with the settings of the power system protection.

  • Analysis of friction ridge evidence for trace amounts of paracetamol in various pharmaceutical industries by Raman spectroscopy
    • Martyna Czarnomska
    • Aneta Lewkowicz
    • Mattia Pierpaoli
    • Emilia Gruszczyńska
    • Magdalena Kasprzak
    • Zygmunt Gryczyński
    • Piotr Bojarski
    • Sławomir Steinborn
    • Krzysztof Woźniewski
    2024 Full text JOURNAL OF FORENSIC SCIENCES

    The detection of potentially harmful substances presents a multifaceted challenge. On one hand, it can directly save lives, on the other, it can significantly aid and enhance police work, thereby increasing the effectiveness of investigations. The research conducted in this study primarily aims to identify paracetamol in fingerprints, considering situations involving direct contact of a person with paracetamol either chronically or in a single dose. The identification procedure presented, utilizing Raman spectroscopy, aims to rapidly detect the xenobiotic following ingestion by an individual, which involves touching the tablet with their fingers—this can be termed as touch evidence in forensic science investigations. Additionally, the authors focus on assessing the impact of additives present in drugs containing paracetamol as the main active ingredient. The screening results obtained will enable us to analyze the composition of drugs in terms of potentially toxic substances, and their influence on the physicochemical activity of the active substance. We successfully identified the paracetamol molecule using a noninvasive forensic trace detection method. Samples in the form of common drugs containing 500 mg of paracetamol were studied. Throughout the study, comprehensive validation of the method was ensured through the utilization of a statistical model, which excluded sensitivity to the presence of other substances, whether additives or from the external environment. The proposed approach to trace the content of substances in fingerprint using Raman scattering analysis provides a useful starting point to enhance current analytical methods not only in forensic science but also in toxicology.

  • Analysis of Roughness, the Material Removal Rate, and the Acoustic Emission Signal Obtained in Flat Grinding Processes
    • Piotr Sender
    • Irene Buj - Corral
    • Jesús Álvarez-Flórez
    2024 Full text Machines

    In this work, the analysis of the acoustic emission (AE) signal in grinding processes is addressed. The proposed analysis method decomposes the acoustic signal into three frequency ranges. The total energy of each range is determined, as well as the highest frequency. Different grinding experiments were carried out, according to a full factorial design of experiments (DOE), in which feed speed, depth of cut, and transversal step (table cross feed) were varied. Arithmetic average roughness Ra and the material removal rate (MRR) were determined. It was observed that Ra depends mainly on the transversal step, followed by feed speed and the interaction between the transversal step and depth of cut, while MRR is greatly influenced by the transversal step. According to multi-objective optimization with the Derringer–Suich function, in order to simultaneously minimize Ra and maximize MRR, a transversal step of 9 mm per longitudinal pass, feed speed of 20 m/min, and depth of cut of 0.020 mm should be selected.

  • Analysis of the influence of geometrical imperfections on the equivalent load stabilizing roof truss with lateral bracing system
    • Marcin Krajewski
    2024 Full text Journal of Theoretical and Applied Mechanics

    The paper is focused on the numerical analysis of the stability and load bearing capacity of a flat steel truss. The structure was supported by elastic lateral braces. The translational and rotational brace stiffness was taken into account. The linear buckling analysis were performed for the beam and shell model of the truss. The nonlinear static analysis were conducted for the structure initial geometric imperfections. As a result the buckling load and the limit load depended on brace stiffness was obtained. The reactions in elastic braces were compared to the stabilizing forces calculated on the basis of actual code requirements.

  • Analytical progress on emerging pollutants in the environment: An overview of the topics
    • Jezrzy Falandysz
    • Guorui Liu
    • Małgorzata Rutkowska
    2024 TRAC-TRENDS IN ANALYTICAL CHEMISTRY

    This overview discusses the ideas behind a collection of articles by invited authors on a diverse range of complex chemical mixtures and analytical methods which represent some of the most relevant and interesting issues on emerging contaminants of environmental health concerns. These chemicals, including those in high volume production, are released on an ongoing basis as a result of various human activities. Moreover, these emerging contaminants are highly toxic to humans and ubiquitous in the environment. The terms “environmental pollution" and “food web contaminant" became widely known from the first decades of the XX century and as a historical background, they have an early link to the agricultural use of mercury fungicides and DDT. Surprisingly for chemists and society, the 1960s saw the emergence of the global problem of environmental and food contamination with polychlorinated biphenyls (PCBs). The environmental science paradigm has lost none of its importance in the meantime, although it has evolved to encompass a vast number of environmentally hazardous chemicals, many of which are termed as “emerging". To put it simply, air-water-soil/sediment are the first compartments affected and become reservoirs or sinks for environmental pollutants, the next is the food web, topped by the top animal predators and humans. Understanding the occurrence, environmental fate and biotoxicity of emerging contaminants is of interest to many areas of science.

  • Angels drawing a picture JAPAN | INTERNATIONAL EXHIBITION
    • Agnieszka Kurkowska
    • Paulina Duch-Żebrowska
    • Marta Koperska-Kośmicka
    2024

    Polskie dziedzictwo reprezentowane w pracach młodych uczestników z Polski dzięki powołaniu RWYC Poland i aktywnej działalności na polu edukacji powszechnej. Konkursy realizowane były jesienią 2023 roku w ramach międzynarodowego projektu pod auspicjami UNESCO – Reconnecting WIth Your Culture POLAND. W Japonii odbyły się 4 wystawy z udziałem prac uczestników z całego świata, w tym wybranych przez RWYC Poland. Lokalizacje wystaw japońskich: 2023 rok: Machida City Museum of Graphic Arts w Tokyo, 2024 rok: Koganei Miyajigakki Hole Citizens Gallery w Tokyo, Mitaka City Arts Centerw Tokyo, Sapporo Citizens Gallery w Sapporo. https://www.youtube.com/watch?v=cxn_TRmLxJw