The level of renewable energy use and economic development of a country, as separate indicators, have an influence on the level of energy resource imports, but the mutual impact of renewable energy sources and gross national product on the growth or decrease of energy imports dependency have not been studied. Therefore, the aim of this study was to evaluate the energy security of European countries by taking into account the consumption of renewable energy sources and the economic development of the countries. In particular, the article examines the relationship between energy import dependency, gross domestic product (per capita), and renewable energy sources in 27 countries in the European Union. Regression analysis of data on EU countries for 11 years (from 2011 to 2021) was used to determine the non-linear influence of gross domestic product and renewable energy use on energy import dependency. This influence was simulated by a second-order regression equation. The analysis of the equation for extremes made it possible to conclude that with a share of energy from renewable sources at the level of 32%, the economic development of a country does not require an increase in energy import dependency, and with larger values of energy from renewable sources, a decrease in energy import dependency may occur. In addition, according to the analysis of the obtained mathematical dependence, it is recommended that countries with a gross domestic product of up to 10,000 euros per capita use renewable energy sources at the level of 40%. For the countries with a domestic product of up to 30,000 euros per capita should use renewable sources at the level of 50%. For countries with a gross domestic product of more than 30,000 euros per capita, renewable energy sources at a level of more than 55% is recommended. A high level of renewable energy use will allow a country to increase its gross domestic product without a significant increase in energy import dependency, and at the level of renewable energy sources of more than 32%, an increase in gross domestic product does not actually lead to an increase in energy import dependency. An increase in the use of renewable energy sources above 40% of the total consumption of energy resources in a specific country, in particular, and in the European Union, in general, will ensure an increase in energy security and an increase in the level of energy independence.

This paper offers an algorithm to account for potential actions on the efficient production of renewable energy. The algorithm consists of a substantiated choice of a certain type of renewable energy, the evaluation of its potential, and the regulation of the processes of obtaining that renewable energy. Also, potential resources for agricultural biofuel production have been analyzed and it has been determined that there is real biomass potential in Lithuania. It will thus be beneficial to make appropriate managerial decisions on the methods of biofuel processing and consumption, as well as on means of receiving the economic, energy and environmental effects. The total potential of by-product biomass of crop production was determined, and the thermal and electric potential of the crop by-products were calculated. Additionally, the potential for production of gas-like types of fuel (biomethane, biohydrogen, and syngas) from crop by-products was determined. The potential for the production of diesel biofuel from oil crop waste (bran) was also found, and the potential for livestock by-products for receiving gas-like types of fuel (biomethane, biohydrogen) was established. The corresponding thermal and electric equivalents of the potential were found and the potential volumes of the biomethane and biohydrogen production were calculated. The total energy equivalent equals, on average, 30.017 × 10⁶ GJ of the thermal energy and 9.224 × 10⁶ GJ of the electric energy in Lithuania. The total potential of biomethane production (taking into account crop production and animal husbandry wastes) on average equals 285.6 × 10⁶ m³. The total potential of biohydrogen production on average equals 251.9 × 10⁶ m³. The cost equivalents of the energy potential of agrarian biomass have been calculated. The average cost equivalent of the thermal energy could equal EUR 8.9 billion, electric energy—EUR 15.9 billion, biomethane—EUR 3.3 billion and biohydrogen—EUR 14.1 billion. The evaluation of the agricultural biomass potential as a source of renewable energy confirmed that Lithuania has a large biomass potential and satisfies the needs for the production of renewable energy. Thus, it is possible to move to the second step, that of making a decision concerning biomass conversion.

In the research carried out by the authors, an approach to the assessment of the project environment of technologically integrated “European Green Deal” projects using corn waste was developed, which takes into account the changing project environment, which determines the risk of the specific cost of disposal of corn waste. On the basis of the predicted approach and the established trends of changes in the specific volume of corn food products from its yield, as well as the specific cost of disposal of corn waste from its specific volume under the condition of maintaining the balance of organic carbon in the fields, a computer program in the Python 3.9 language was developed. The program makes it possible to speed up calculations and perform a quantitative assessment of the state of the project environment in certain regions of the implementation of projects of the “European Green Deal” (TIP of the EGD) using corn waste. An approach to assessing the state of the project environment of TIP of the EGD using corn waste is proposed. A block diagram of the algorithm for assessing the state of the project environment was created, which involves the implementation of ten stages. It provides for determining the dynamics of inequality of individual regions in terms of resource potential for the production of clean energy from corn waste according to the Gini index. The Gini index was used to assess three indicators that take full account of the unevenness and dispersion of raw materials in a given area for the production of clean energy. This provides a preliminary assessment of the risks to stakeholders for stakeholders in technologically integrated projects of the “European Green Deal” using maize waste. Based on the proposed approach, a computer program in Python 3.9 was developed. It provides an opportunity to speed up the calculations and perform a quantitative assessment, according to these indicators, of the state of the project environment in some regions regarding the TIP of the EGD. The uneven distribution of raw materials in the territory of Ukraine for the production of environmentally friendly energy from corn waste and the risk of value for stakeholders were assessed. It is established that in the territory of Ukraine there are nine regions (Dnipropetrovsk, Donetsk, Zaporizhzhia, Kirovohrad, Luhansk, Mykolaiv, Odesa, Kharkiv, Chernivtsi), which do not ensure the preservation of the balance of organic carbon in the fields during long-term cultivation of corn. In addition, four regions of Ukraine (Vinnytsia, Poltava, Kherson, Zakarpattia) have an unfavorable project environment in terms of risk. In these regions, the Gini index exceeds the critical value of the three studied indicators. The Zakarpattia region is the most unfavorable for the implementation of the TIP of the EGD. It is established that the minimum material risk for the implementation of technologically integrated projects with the use of corn waste is observed in three regions of Ukraine (Sumy, Rivne, Ternopil).

It is very important for EU countries to achieve energy independence. But this is actually impossible without a high level of use or consumption of renewable energy (RE) sources. Important parameters affecting the consumption of RE sources are as follows: foreign direct investments (FDI), adjusted net savings (ANS), and environmental tax revenues. In the presented work, the likely impact of the above indicators on the level of use of RE sources was estimated using a second-order regression equation. As a result, it was established that the growth of the adjusted net savings indicator and an increase in environmental tax revenues (ETR) have a positive effect on the level of use of RE sources. With significant FDI, the level of ANS does not have a very obvious effect on the growth of the level of use of RE sources. An increase in the level of ANS allows for an increase in ETR, which in turn contributes to an increase in the level of consumption of RE sources. It was also established that an increase in the level of ANS contributes to a more complete realization of the potential of FDI for the development of RE. It has been empirically established that a consistently high consumption of renewable energy sources is actually possible in the countries with a high level of adjusted net savings, high environmental tax revenues, and active attraction of foreign direct investments.

To improve energy and environmental security in urban environments and in accordance with the requirements of the EU, the task of sustainable developing agriculture in urban agglomerations and monitoring it using satellite images becomes relevant. The aim of the work is the development of methods and means for determining stable islands of thermal energy to substantiate the optimal locations for plant growing practices in the metropolis. The research was conducted in Kyiv, the largest metropolis of Ukraine. Data from the Landsat 8 and 9 satellites were used because of the free data and they have better spatial resolution and an available archive of observation results. It was established that the temperature map of the city of Kyiv shows differences in temperature between different parts of the city, probably due to the presence of different sources of heat radiation. It is obvious that the standard deviation of the temperature in the plots depends on many factors, in particular, the season and the type of land use. It is necessary to find alternative solutions for the development of crop production in this area, taking into account the characteristics of thermal emissions. Based on software products from free satellite monitoring providers, EO Browser, a specialized software solution (web application) has been created for monitoring agricultural plantations in an urban environment. A collection of LANDSAT 8 satellite images was used. Areas with stable heat emissions were found, which are due to the operation of a modern shopping and entertainment center, and non-traditional crops for landscaping adapted to its design are proposed. As a result of research, strong heat emissions were recorded for some objects, for them the temperature exceeds the surrounding area by 4 °C, while the minimum standard deviation in January is 0.5 °C, the maximum in July is 2.8 °C, in April and October—1.7 °C and 1.2 °C, respectively.

The modern global milk processing industry involves the use of innovations and optimization of existing industry management methods, which contributes to the realization of sustainable development and energy efficiency. Increasing the energy efficiency of dispersing and homogenizing milk and dairy products can contribute to the practical implementation of the philosophy of the “European Green Deal”. The jet-slot milk homogenizer is one of the most energy-efficient among all types of homogenizers in the dairy industry. The principle of its operation is based on the creation of a maximum speed difference between the fat balls of cream and the flow of skimmed milk. This makes it possible to obtain a high degree of dispersion with high energy efficiency of the process. Reducing the specific energy consumption and finding the optimal parameters of the homogenizer were based on the results of both theoretical and experimental studies and were carried out graphically. The optimization criteria (decreasing specific energy consumption while maintaining high homogenization quality) were chosen to achieve a dispersion of 0.8 μm with minimal energy consumption. The diameter of the confusor is optimized at the point of greatest narrowing. The obtained results indicate that to increase the energy efficiency of homogenization, the parameter values should be within 3.5–4.0 mm. The parameters of the width of the ring gap, the fat content and the speed of the cream are optimized. The results showed that it is possible to reduce the specific energy intensity of the process to values of 0.88–0.92 kWh/t when using cream with a fat content of 33–43%, which should be fed through an annular gap with a width of 0.6–0.8 mm. Optimum values of the cream feed speed were found, which should be equal to 7–11 m/s. The research results are of high practical value for the further development of an energy-efficient industrial model of a jet-slot homogenizer.