Vitalii Babak – författare

The book is devoted to the solution of the problem of determining the presence of corona discharge on electrical equipment with acoustic radiation. It is shown that corona discharge leads not only to irreversible losses of electrical energy, but also interferes with the transmission of high-frequency signals, deteriorates insulating elements, can become a source of conditions for the occurrence of a destructive arc discharge and is one of the factors of changing the continuity of the electrical system as a whole. The book describes the processes in a corona discharge that lead to the occurrence of acoustic waves. The authors analyzed acoustic radiation from a corona discharge reproduced in laboratory conditions. The received acoustic signals were processed by Fourier transform. Thus, the features of the spectral function, which belong specifically to the corona discharge in electrical networks with industrial frequency current, were determined. Based on the inverse Fourier transform, a simplified model of the acoustic radiation of the corona discharge was constructed. The authors proposed a method for detecting the presence of a corona discharge based on the spectral characteristics of acoustic radiation. Techniques were developed to determine the presence of a corona discharge for the creation of stationary and mobile devices. The advantages of the method of detecting the presence of corona discharge by the acoustic spectrum are shown. The method makes it possible to determine the presence of a corona discharge remotely, even out of direct sight, regardless of the time of day and regardless of the season. The book states that determining the presence of a corona discharge is not enough, it is still necessary to determine its location. The method of finding the coordinates of the corona discharge as a source of sound was described. Methods of searching for corona discharge coordinates with a fixed scanning device and a moving scanning device are proposed. A UAV is proposed as a mobile platform for the scanning system. The influence of the Doppler effect on acoustic measurements when the UAV speed changes was taken into account. The authors have shown that the use of coronal discharge detection with UAVs will not only enable the prevention of coronal discharge, but also increase the frequency of surface inspections. This will allow timely measures to be taken to improve the reliability of the power system operation. The book is intended for the researchers, postgraduate students and students specialized in theory and calculations of electrical systems.

This book presents the defining hallmark of 2023''s energy panorama which lies in the resounding impetus toward sustainability—a seismic paradigm shift echoing across industries, policies, and societal aspirations. Heightened awareness of climate change, environmental degradation, and the imperatives of decarbonization propel an unprecedented surge toward renewable energy alternatives. Solar, wind, hydro, geothermal, and other sustainable modalities witness not only technological advancements but a transformative surge in accessibility, affordability, and scalability, redefining the global energy matrix. Within this transformative landscape, innovation emerges as the fulcrum catalyzing the metamorphosis of energy systems. Breakthroughs in energy storage technologies, smart grid optimization, and decentralized energy solutions orchestrate a symphony of efficiency, enabling the seamless integration of intermittent renewable sources while ensuring grid stability and resilience. The amalgamation of artificial intelligence, big data analytics, and energy systems heralds a new frontier of smart, adaptive energy networks, revolutionizing the paradigm of energy consumption and management. Furthermore, the geopolitical milieu assumes heightened significance in shaping the contours of global energy dynamics. Interwoven with alliances, trade dynamics, and international agreements, geopolitics exerts profound influences on energy security, infrastructural investments, and the trajectory of sustainable energy transitions. Collaborative endeavors and multilateral initiatives reverberate as essential instruments in navigating the complexities of a globally interconnected energy landscape. However, amid the triumphant strides toward a sustainable energy future, challenges persist. The intricacies of phasing out legacy infrastructures, addressing socio-economic disparities, navigating policy ambiguities, and fostering inclusive energy transitions underscore the labyrinthine complexities that necessitate astute navigation and multifaceted solutions.

In an era marked by escalating energy demands and imperatives of environmental stewardship, this compendium serves as a comprehensive exploration of the multifaceted dimensions shaping contemporary energy development, with a focal lens on the symbiotic relationship between energy, information, and transportation systems. The canvas of 2023''s energy evolution is painted against the backdrop of heightened consciousness surrounding climate change and environmental degradation. This epoch witnesses an unyielding momentum toward sustainability, catalyzed by a profound shift in energy-sourcing paradigms. Renewable energy sources—solar, wind, hydro, and beyond—attain unprecedented prominence, not merely as alternative energy options but as linchpins of a redefined energy matrix, fostered by advancements in technology, economics, and scalability. At the nexus of this transformative energy landscape lies the realm of Energy Informatics—a domain where information technologies converge with energy systems. Smart grids, IoT-enabled devices, data analytics, and artificial intelligence orchestrate a symphony of efficiency and optimization, revolutionizing energy management, demand-response dynamics, and grid resilience. The fusion of information technology and energy infrastructures stands poised to usher in an era of unprecedented interconnectivity and adaptability. Transportation, an indispensable facet of the energy ecosystem, undergoes a metamorphosis in 2023. Electrification, hydrogen-powered vehicles, and advancements in sustainable fuels reimagine mobility paradigms, heralding a transition toward greener, more efficient transportation systems. The synergy between energy and transportation, facilitated by data-driven insights and technological innovations, propels the convergence of these domains toward a more sustainable future. Moreover, the global socio-political landscape assumes paramount significance in shaping the contours of energy dynamics. Geopolitical considerations, international collaborations, and policy frameworks delineate the trajectory of energy infrastructure investments, trade patterns, and the realization of sustainable energy transitions on a global scale. Yet, within the narrative of progress, challenges persist. Legacy infrastructures, regulatory complexities, socio-economic disparities, and the imperative of inclusive transitions underscore the complexities inherent in reshaping the energy and transportation landscapes.

The book meticulously details a constructive mathematical model of a stochastic noise process, specifically a linear random process and its characteristics. Theoretical reasoning on the relationship between random processes with independent increments and those with independent values, known as random processes of white noise, is provided. The model of a linear random process serves as a mathematical representation of colored noises in various hues. Characteristics of both non-stationary and stationary linear random processes are elucidated, with emphasis on their ergodic properties, crucial for practical applications. The study also encompasses the vector linear random process, portraying a model of multi-channel noise signals. A novel contribution to the theory of random functions is the development of a constructive model of a conditional linear random process. This involves determining its distribution laws in the form of a characteristic function and relevant statistical characteristics, which can serve as potential indicators for identifying stochastic noise processes. The book revisits research on periodic stochastic models, examining cyclic, rhythmic, natural, and artificial phenomena, processes, and signals. A comprehensive analysis of the linear periodic random process is conducted, and the identification characteristics of periodic models of stochastic noise signals are explored. Significant attention is directed toward employing contour and phase methods as a theoretical foundation for addressing narrow-band noise signal identification challenges.

This book considers the issues of constructing mathematical probabilistic models of diagnostic signals, the development of statistical methods of their analysis in order to make diagnostic decisions and, finally, the technical implementation of the proposed diagnostic methods. Following the concept of primacy of the mathematical model of the diagnostic signal, the authors considered it expedient to consider first of all the questions connected with the theory of random processes possessing infinitely divisible distribution laws, linear and linear periodic random processes. Considerable attention is paid to the issues of simulation modeling of diagnostic signals and their statistical evaluation. Modern element base and new information technologies allowed to develop, build and practically test a number of experimental samples of information-measuring systems of statistical diagnostics of electric power engineering objects. Among these IMS, the systems are realized by means of unmanned diagnostic complexes, and also IMS of vibrodiagnostics of moving units of electric machines represents an important role. A large amount of experimental research has shown the operability and efficiency of the built IMS samples. Particular attention is paid to the selection of diagnostic spaces, formation of training sets, construction of solving rules for diagnosis and classification of EE defects. The authors do not pretend to a comprehensive consideration of the issues of EE diagnostics using statistical methods and IMS realized on their basis. At the same time, the results of researches, stated in this monograph, were a natural continuation of the subject of application of statistical methods in the field of control, monitoring and diagnostics for objects of electric power industry.

This book develops a method for economic-technological forecasting of the optimal functioning and parameters of the energy system. The relevance of this work is determined by current trends and challenges in the field of energy and sustainable development, considering the following key points: 1. transition to renewable energy: Optimizing the structure of integrated energy systems with a focus on renewable energy sources and distributed generation is crucial for achieving sustainable development goals and mitigating climate change. 2. Technological progress: Continuous advancements in generation technologies, energy storage, and smart grid development provide new opportunities for the optimal integration of renewable energy into existing and new energy systems. Models and tools that can promptly track the variability and intermittency of renewable sources are essential for making optimal management decisions to ensure the reliability and resilience of energy systems. 3. Environmental impact: Optimizing energy systems using renewable sources helps reduce greenhouse gas emissions and minimize negative environmental impacts. 4. Integration of energy storage: Effective use of energy storage technologies is a key aspect of optimizing energy systems with a high share of renewable energy sources. Models that address the optimal integration of energy storage (batteries) and demand response strategies are crucial for maintaining the stability of electricity generation and supply. 5. Social significance: Research into models and means of optimizing the implementation of renewable energy can contribute to creating effective scenarios. 6. Economic competitiveness: Reducing the costs of renewable energy technologies combined with the potential savings from optimizing the operation modes of traditional generation makes the integration of renewable energy economically attractive. Thus, the task of developing new and improving existing methods and economic-mathematical models for studying the directions and optimal parameters of the technological development of energy system elements is a relevant scientific problem that needs to be addressed.

This book concentrates on virtual IMS with the use of modern information and measurement modeling technologies. Modern IMS can be implemented as: real hardware and software measuring tools; virtual IMS with the use of modern information and measurement modeling technologies, including simulation, mathematical, physical, with extensive use of computer equipment for conducting a simulation measurement experiment. Compared to real ones, virtual IMS has a number of advantages, and their implementation requires less time, production, and financial costs. However, in a number of cases, due to the information uncertainty of the object of measurement, such IMS cannot provide objective and reliable results, and therefore, it is necessary to conduct a full-scale measurement experiment using real systems. The potential capabilities of modern systems at the stage of information development of society have increased significantly, which contributes both to the expansion of the subject areas of their application and their use to increase the efficiency of known and solve new scientific and applied measurement tasks. The authors are in solidarity with other colleagues—specialists in measurements—in the forecasts of the development of IMS. No improvements in measurement information technologies, including computer and intellectual ones, have not led, are not leading, and obviously cannot lead in future to the expansion of the nomenclature of measurements of quantities while there are no corresponding sensors that form primary information during their direct interaction with the research object. Further development of IMS and their use in various fields of science and technology, including quantum metrology and nanotechnology, will largely be determined by the development of new principles of operation and the creation of new types of sensors based on them.

This book presents a curated selection of contemporary research, capturing the progress of Ukrainian and international scientists in addressing the complex issues surrounding energy systems, sustainable fuels, and efficient transport solutions. The world’s growing energy demands, coupled with pressing environmental concerns, present significant challenges and opportunities in the energy sector. The advancements within this sector are increasingly driven by innovations in technology, information systems, and cross-disciplinary research efforts. Through this collaborative scientific endeavor, the authors aim to offer a holistic view of current advancements and innovative solutions in three core areas: energy informatics, fuels, and transport. Energy informatics integrates data analytics, digital infrastructure, and real-time monitoring to improve energy efficiency and support sustainable energy transitions. The works presented in this section illustrate how the integration of cutting-edge computational models, artificial intelligence, and big data analytics is enabling smarter, more adaptive energy systems. Topics covered include optimization of energy consumption, predictive modeling for energy needs, and the development of robust frameworks to manage and process vast amounts of energy-related data. This section highlights how energy informatics serves as a foundational tool in meeting the evolving demands for efficient and sustainable energy.

In the fuels section, the book addresses the urgent need for alternative and cleaner energy sources. The global push toward reducing greenhouse gas emissions and mitigating climate change impacts has accelerated research into innovative fuel sources. This section underscores the critical role of novel fuel technologies in ensuring energy security and reducing environmental impact.

Transport, the third section, encompasses research on the transformation of the transport sector toward sustainability and efficiency. Transportation is a major consumer of energy and a significant source of emissions, making it a focal area in the transition to cleaner energy systems. This section presents a variety of studies on electric mobility and the development of low-emission technologies.