Olga Ostapenko

The study assessed the possibilities of applying artificial intelligence technologies in scientific research in the field of heat and power engineering. The possibilities of applying artificial intelligence for modeling, optimization and forecasting of heat and power systems, including those with non-traditional and renewable energy sources, were assessed. The possibilities of applying artificial intelligence for modeling thermodynamic processes and cycles, as well as heat and mass transfer processes were assessed. The possibilities of applying artificial intelligence in energy audit and energy modernization were shown. Practical examples of applying artificial intelligence in heat and power research were given. The advantages, disadvantages and risks associated with the use of artificial intelligence technologies in heat and power systems were assessed. Strategies for minimizing the risks associated with the use of artificial intelligence technologies in research, optimization and effective safe operation of heat and power systems were proposed.

The monograph is devoted to a comprehensive analysis of the role and possibilities of applying artificial intelligence in scientific research. It examines the theoretical, methodological, and applied aspects of using data analysis methods, machine learning and deep learning, as well as intelligent decision support systems in the natural, technical, and humanities sciences. Special attention is given to the comparative analysis of artificial intelligence models, the development of ontological approaches, and the application of intelligent technologies in the fields of defense, complex systems management, chemistry, materials science, energy, biotechnology, and the study of social processes. Particular emphasis is also placed on issues of academic integrity and the use of artificial intelligence in the preparation of scholarly works. The monograph is intended for researchers, educators, doctoral students, and all professionals interested in the application of artificial intelligence in scientific research.

Інтеграція штучного інтелекту в освіту – виклики та можливості : збірник тез науково-методичних доповідей Всеукраїнського науково-педагогічного підвищення кваліфікації (Київ, 10 грудня 2024 р. – 20 січня 2025 р.) / Частина 2. – Київ – Львів – Торунь : Національний університет фізичного виховання і спорту України, Liha-Pres, 2025. – 480 с.

The study assessed the prospects of solar green generation in the context of modern trends in the development of renewable energy in the world, taking into account the forecast estimates of world energy agencies in the perspective of 2030–2060. Global and European aggregated data for three simulated scenarios of energy and climate policy (STEPS, APS, NZE) in terms of the use of solar photovoltaic technologies and technologies of solar energy concentration up to 2030–2050 were evaluated. It was determined that by 2060 for the European Union, according to the “EU Basic Scenario”, the following will be ensured: increase in energy production using solar photovoltaic technologies to the value of 876 PJ; almost four-fold increase in the volume of energy production using solar energy concentration technologies to a value of 566 PJ; it is planned to gradually increase the amount of electricity production, using solar photovoltaic technologies, to the value of 243 TWh; more than a fivefold increase in electricity production will be ensured using solar energy concentration technologies to a value of 58 TWh; it is planned to gradually increase the electrical capacity of installations based on solar photovoltaic technologies to the value of 195 GW; will provide more than a fourfold increase in the electrical capacity of installations based on solar energy concentration technologies to a value of 17 GW. The volumes of solar green generation will be approximately 30 to 50% of the total generation of energy from renewable sources in the foreseeable future, mainly due to the use of solar PV generation, which will lead to a significant reduction in CO₂ emissions. Expansion of solar generation for Ukraine should be considered as a means of overcoming the energy crisis and increasing the environmental and energy security of the generating capacities of the Ukrainian energy industry.

Accelerating the transition of the energy sector to ecologically clean energetics using renewable energy technologies will ensure the security of the energy sector of the European Union based on highly energy-efficient and cost-effective technologies for generating heat and electricity. The aim...

The scientific novelty of the results presented in this article is to substantiate and expand the possibilities of using global and local geographic information systems (GIS) to assess the potential of renewable energy sources in Ukraine. GIS analysis focused on key resource parameters can help identify territories for development of renewable energy sources and assess of their possible technical potential, as well as the possibility of effective integration of technologies for the use of renewable energy sources in the energy sector of Ukraine. In this paper the possibilities for using geographic information systems to assess the potential of renewable energy sources in Ukraine are analyzed. The possibility of using the Global Atlas of the International Renewable Energy Agency (IRENA) to support planning of technologies for the use of energy from biomass is analyzed. The data can point to large-scale programs and applications in relation to key parameters (quality resources, transmission distance, population density, terrain and site protection), helping identify additional areas for development of renewable energy sources and give an approximate assessment of technical potential. It is determined that the software products of IRENA are able to support national and regional planning of renewable energy technologies, help establish the viability of future renewable energy facilities and help project developers identify and analyze promising facilities for the implementation of technologies using renewable energy. The application of geographic information systems of Ukrainian web resources (“UA MAP”) for assessing the potential of renewable energy sources and energy efficiency in Ukraine is been analyzed. The scientific novelty of the results lies in applying global and local GIS for comprehensive assessment of the potential and effectiveness of the use of regional non-traditional and renewable energy resources on the territory of Ukraine. This makes it possible to assess the possibilities of generating additional electric and thermal power for the needs of the regions of Ukraine using non-traditional and renewable energy sources. A comprehensive methodology for the use of GIS is proposed for assessing the potential of non-traditional and renewable energy sources at the regional level in Ukraine, taking into account energy, environmental and socio-economic factors affecting the placement of non-traditional and renewable energy facilities.

The study analyzes the indicators of the efficiency of cogeneration heat pump installation (CHPI) in the thermal scheme of heating boiler house. It is determined that the application of CHPI in the thermal scheme of heating boiler house will provide high