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The analysis of scientific works shows that the development of technology is ahead of the level of development of energy management. There are no clear comparisons of the energy efficiency of electrical technologies and heat technologies. Objective indicators of energy efficiency in various technologies of dehydration of raw materials not developed yet. In that article assumed that objective results for comparing energy efficiency in the processing of raw materials is obtained by the basis of system analysis of the entire energy conversion chain from fuel to finished product. The purpose of the work is experimentally proving the objectivity of this hypothesis. To achieve this goal, it is proposing to use the indicator of the energy share of fuel in the finished product and the amount of moisture removed when burning 1 kg of fuel, which does not depend on fluctuations in energy prices, which can vary and differ for different countries. The most important result of the work is the comparison of these parameters with the data for innovative equipment samples developed by the authors. The significance of the results obtained is that the evaporating devices developed by the authors are not inferior in efficiency to traditional ones, and make it possible to obtain concentrates up to 90 ° brix. Thus, for fuels with an oil equivalent of 40 MJ per 1 kg, traditional dryers can remove no more than 3 kg of moisture, cryoconcentrators – 20 kg.

Utilization of landfill gas for electricity generation should be an attractive option for Ukraine in light of the country’s rapidly growing municipal solid waste problem, the influx of intermittent renewable electricity into the national grid, and renewable energy adoption commitments. However, the deployment of landfill gas power plants has been slow vis-à-vis other alternative energy technologies despite the existing government incentives. This article aims to help understanding this trend by investigating the economic feasibility of landfill gas power plants. The research focuses on determining the Levelized Cost of Electricity of these electricity generation facilities and comparing it to the feed-in tariff available to landfill gas electricity producers. The results show making an investment into a landfill gas-fired power plant is an appealing strategy due to a potential high and quick return on investment at 5.1 years. This leads to the ultimate conclusion that economic feasibility is not a cause for the slow adoption of landfill gas as a source of renewable electricity generation in Ukraine. In addition, the article identifies several potential barriers to landfill gas electricity generation deployment to be investigated in future research.

Abstract The UK Government is legally committed to achieving an 80% reduction in carbon dioxide emissions compared with 1990 by 2050. The use of scenarios is wide ranging to inform policy development and forming a business-as-usual scenario helps to understand possible effects of different policy interventions. However, the term business-as-usual is frequently misused. We show how econo-physical business-as-usual scenarios can be developed by examining the historical behaviour of coefficients which manifest the relationship between components of an economy. We endogenise economic growth by mimicking national level policies that focus on a target level of unemployment. Our case-study demonstrates the ‘trendability’ of coefficients which for one example coefficient is replicated for Australia, Colombia, Taiwan and the USA. We manifest a gross domestic product growth of 2% falling to 1% which contrasts with an exogenous growth of 2.3% of a comparator business-as-usual scenario. We suggest that it may be possible to achieve a greater reduction in the business-as-usual carbon dioxide emissions in the UK fifth carbon budget than currently projected.

Abstract Ukraine stands on the threshold of economic development and outdated habits. At the same time, the situation with landfills and ecologically oriented productions is much wider than in Western countries. But thanks to the popularity of the transition to alternative energy sources, even the country’s population already partially uses it. The aquaculture sector is one of the promising areas of the Ukrainian economy. Currently, it is only taking its modern form. This study examines the prospects for the development of the aquaculture sector in the circular economy, as a reliable pillar of Ukraine’s food security in the long term. Weaknesses and opportunities of the sector, as well as pre-war growth trends, are identified. A number of recommendations are also offered to direct attention to the issues of the sector.

In the past few decades, the ever-increasing dynamics of international migration flows can be observed. At this stage, the governments of major countries in the world are striving to balance the needs of their citizens and the support of immigrants. The paper analyzes factors that affect the immigration policies of various countries and determines the role of ecological factors (such as environmental conditions). The objective of the study is to predict the immigration policies of different countries of the world based on the analysis of the influencing factors, including environmental performance. The research method is based on the use of the RapidMiner software package to build two decision tree models and a static index database of more than 150 countries around the world. The results show that in most cases, the immigration policies of various countries will focus on maintaining the current level of immigration and increasing the number of skilled workers. At the same time, one of the key decision-making factors will be the country’s current immigration level, environmental performance, GDP per capita, and the Education index. One of the main conclusions is that the country’s environmental indicators have begun to become one of the priority values that determine the state immigration policy. This can be explained by the rising global community interest in the challenges of climate change.

The article is devoted to the following issues: boiling of fluid in the cooling jacket of the engine cylinder head; agents that influenced the thermal conductivity coefficient of nanofluids; behavior of nanoparticles and devices with nanoparticles in the engine’s cylinder head cooling system. The permissible temperature level of internal combustion engines is ensured by intensification of heat transfer in cooling systems due to the change of coolants with “light” and “heavy” nanoparticles. It was established that the introduction of “light” nanoparticles of aluminum oxide Al2O3 Al2O3 into the water in a mass concentration of 0.75% led to an increase in its thermal conductivity coefficient by 60% compared to the base fluid at a coolant temperature of 90 °C, which corresponds to the operating temperature of the engine cooling systems. At the indicated temperature, the base fluid has a thermal conductivity coefficient of 0.545 Wm2×°C W/(m °C), for nanofluid with Al2O3 particles its value was 0.872 Wm2×°C. At the same time, a positive change in the parameters of the nanofluid in the engine cooling system was noted: the average movement speed increased from 0.2 to 2.0 m/s; the average temperature is in the range of 60–90 °C; heat flux density 2 × 102–2 × 106 Wm2; heat transfer coefficient 150–1000 Wm2×°C. Growth of the thermal conductivity coefficient of the cooling nanofluid was achieved. This increase is determined by the change in the mass concentration of aluminum oxide nanoparticles in the base fluid. This will make it possible to create coolants with such thermophysical characteristics that are required to ensure intensive heat transfer in cooling systems of engines with various capacities.

There is a growing demand for the use of renewable energy technologies to generate electricity due to concerns over climate change. The oceans and rivers currents provide a huge potential resource of energy. Since extra-low head sites of rivers are available near urban-sides, where there is a demand for electricity, an appearance of suitable turbine, which has high costeffectiveness, easy maintenance and little environmental impact, is required. The paper deals with determining the effect of periodic variation of blade pitch angle of vertical axis water turbine (VAWT) model with straight blades on its performance. The model experiment has been carried out in a hydrotray for small VAWT models. Performance of VAWT models with rigidly fixed blades to crosspieces of turbine model and with two various control mechanism of blades on trajectory of their circular movement are determined. The ability of VAWT with controlled blades to self-starting at quite slow incoming flow is shown. The possibility of a significant increase of power coefficient and torque coefficient are shown.

Recently, there has been explosive growth in the development of the digital industry concept. One of the most important elements of this concept is the application of mathematical modeling methods and data mining to create models of production processes and final products, with the aim of making decisions under stochastic uncertainty. In this paper, a method of diversifying the investment portfolio in the formation of a digital twin is proposed, which is aimed at reducing the total risk by distributing existing assets (resources, investments, etc.) between the analog and digital enterprises. Three types of scenario are proposed: pessimistic - when an enterprise - a pessimist - does not show risk exposure under this scenario when forming a digital counterpart; neutral - when an enterprise shows a neutral attitude to risk (indifference); optimistic - enterprise - optimist is exposed to risk, in particular the risk of untapped opportunities. The result is a set of optimal portfolios, each reflecting a particular position of the enterprise on the risks of untapped opportunities and a certain scenario of forming a portfolio structure, taking into account the relationship between the individual components of the risks of untapped opportunities. Highlighted the advantages of technology "digital twins" for business. Digital counterparts use the data obtained from sensors installed on production lines or on the basis of the final product to predict equipment malfunctions, optimize product quality and reduce the negative impact of production processes on the environment.