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Документ Recycling and disposal of lithium-ion batteries(2024) Zinkevych, Petro; Baliuta, Serhii; Kuievda, YuliaThe development of green energy, electric vehicles, and comprehensive recycling of resources are critical aspects on the way to sustainable development, considering that the energy crisis and environmental security are two problems that need immediate solutions (Liang et al., 2021). The transition to renewable energy sources can ensure the end of the fossil fuel era. Electrochemical storage systems, particularly lithium-ion batteries (LIBs), are key technologies to successfully implement this transition (Brückner, Frank, & Elwert, 2020). First introduced to the commercial market in the 1990s, LIBs have gained rapid adoption and have become one of the fastest growing technologies in energy storage. The main advantages of these batteries are high energy and power density, high reliability and long service life. A total of approximately 10.5 trillion watt-hours of EVs are projected to be generated by 2030, of which electric vehicles (EVs) will account for 77%. The duration of service of LIBs depends on their application in various areas. Typically, in consumer electronics, the life of a LIB is 1-3 years, while for more powerful applications, such as energy storage, this life is usually 8-10 years. Used LIBs contain significant amounts of valuable metals such as lithium (Li), cobalt (Co), nickel (Ni), manganese (Mn), iron (Fe), copper (Cu) and aluminum (Al). Due to the rapid increase in the production of LIB, the prices of these metals are increasing sharply, in particular for strategic cobalt, the price of which has increased four times in the last two years - from 22 dollars per kilogram to 81 dollars. Therefore, the used LIB should be considered as waste containing valuable strategic materials, taking into account the principles of sustainable development. To date, developed countries are actively demonstrating successful experience in solving the problem of processing spent sources of electricity by implementing a state policy on environmental protection. However, there are currently no regulatory acts in Ukraine that would regulate the process of dealing with used LIBs. Ukraine should develop a regulatory and legal framework that provides for the responsible attitude of both producers and consumers to used LIBs. It is necessary to organize the collection and logistics of the used LIB to the places of their further processing and to raise the environmental awareness of citizens, emphasizing that the separate collection of waste is the only way to achieve a clean environment. It is also important to inform citizens about the harmful effects on health of throwing batteries into landfills together with household wasteДокумент The active consumer at the centre of the energy system(2020) Zinkevych, Petro; Okopna, YanaIntroducing. In terms of the transformation of electric power industry all over the world, the consumer of the energy market is forced to become an “active consumer” (AC) who has the technical capabilities to optimize his energy consumption by either “producing” or “purchasing” electricity in the market. Materials and methods. To start with the concept of the AC in the energy system is based on the energy consumption management mechanisms, which are divided into long-term and short-term actions (Scenario Forecast for the Development of the Electric Power Sector for the Period up to 2030). The Demand-side management (DSM), as an example of a static response mechanism, is currently a developed area. The program of action is aimed at stimulating energy-efficient consumption. The dynamic response mechanism is characterized by the consumers’ reaction and includes planned or contracted actions, which contribute to the stability of the energy system and its balancing or are required in case of network failures. The main problem is consumer retention, as well as ensuring their motivation and ability to participate in the program. Results. As a result of the electrical energy market develops on the basis of protecting all participants’ interests, which is feasible provided that energy companies interact with AC by offering them load rate tariffs for electricity, capacity utilization and grid connection.Документ Heroes of the energy front(2023) Kukharyk, Roman; Zinkevych, PetroIntroduction. Distribution networks (Oblenergo), trunk networks (Ukrenergo) and generation facilities (CHP, TPP, HPP) were the main target of artillery and missile attacks by the Russian Federation. As a result of shelling in the system, 50% of the country's electrical networks were damaged. Results and discussion. The northern, southern, eastern and western regions suffered the greatest damage. During the war, the following electrical distribution networks (oblenergo) were damaged as a result of artillery shelling: 1. Dtek Kyiv Regional Power Grids; 2. DTEK Donetsk power grids; 3. "Kharkivoblenergo" JSC; 4. "Khersonoblenergo" JSC; 5. JSC "Mykolaivoblenergo"; 6. PJSC "Zaporizhjiaoblenergo"; 7. JSC "Chernihivoblenergo"; 8. Sumioblenergo JSC. Damage to main electrical networks (UKRENERGO): The northern, southern, eastern and western regions suffered the greatest damage. About 30 substations of various voltages were damaged.Документ Forecasting the electricity generation of photovoltaic plants(2021) Kuievda, Yulia; Baliuta, Serhii; Zinkevych, Petro; Stoliarov, OleksandrIt was calculated the table of dependence of RMSE, MAE and NMAE errors on the number of input membership functions and their forms for training, test and the whole sample. The number of input membership functions varied from 2 to 30, and the type of membership functions was chosen from the set (MATLAB notation): gbellmf, gaussmf, gauss2mf, trimf, trapmf, dsigmf, psigmf, pimf. To determine the optimal number and form of membership functions, the NMAE error of the test sample was used, which was calculated to be in the range from 3.92% to 4.15%. A minimum was achieved on 5 triangular trimf membership functions. The model was tested for sensitivity to the error of the input data using the chosen optimal number and the form of membership functions. A generated random sequence was added to the input data, which added an NMAE error of 1.81% to 8.19% to the input data. The NMAE error of the initial data in the test sample varied from 4.19% to 5.78%, i.e. the model studies showed a sufficiently low level of variation in the output values relative to the error of the input data.Документ Comparative computational analysis of the selection of battery energy storage for civil objects and parking with photovoltaic plants(2022) Zinkevych, Petro; Baliuta, Serhii; Kuievda, YuliaEnergy production from PPS has a number of advantages and disadvantages. One of the disadvantages is that PPS does not produce electricity at night, so they cannot support the load of consumers. To solve the problem of stability of electricity supply at night battery energy storage (BES) are used [1]. BES in combination with a solar power plant is called a battery energy storage system (BESS). This system absorbs and releases energy in different periods. There is no doubt that the additional investment and operating costs of BESS will affect the cost-effectiveness of the PPS.