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As more renewable energy generators and adjustable loads such as electric vehicles are being connected to the power grids, load modelling of the distribution network becomes more complicated. Therefore, this paper explores a dynamic equivalent modelling method for active distribution network that takes into account electric vehicle charging. First of all the combination of integrated ZIP loads and motors is adopted as an equivalent model for active distribution networks. Subsequently, a four‐layer, tri‐stage deep reinforcement learning approach is used to solve the relevant key parameters of the proposed equivalent model. The method proposed in this paper fully utilizes the superiority of reinforcement learning in decision making, while the method combines the excellent feature extraction capability of deep learning. The method utilizes measurements obtained at boundary nodes to obtain an active distributed network equivalent model after a series of calculations. At the same time, adjustable loads are identified in detail. On the other hand, this method introduces a prioritized empirical playback mechanism, log‐cosh loss function, and adaptive operator to improve the computational efficiency of the method. From the simulation results, the present method is effective. [ABSTRACT FROM AUTHOR]

Federated learning (FL) on the edge devices must support continual learning (CL) to handle continuously evolving the data and perform the model training in an energy-efficient manner to accommodate the devices with limited computational and energy resources. This letter proposes an energy-efficient personalized federated CL (FCL) framework for the edge devices. The network structure on each device is divided into parts for retaining old knowledge and learning new knowledge, training only part of the model to reduce overhead. A data-free parameter selection approach selects important parameters from the trained model to retain old knowledge. During new task learning, a federated search method determines a resource-adaptive personalized model structure for each device. Experimental results demonstrate that our method can effectively support FCL in an energy-efficient manner on the edge devices. [ABSTRACT FROM AUTHOR]

Available and reliable energy supply is essential for the consumers in the Arctic regions that are characterized by a climate. The importance of the energy infrastructure is emphasized in the strategic planning documents. However, projects of constructing energy capacities are not always implemented. In the study an analysis of some energy development projects implementation in the regions of the Western Russian Arctic was performed; promising areas of energy development are also examined. In the medium term, fossil fuels and hydropower will continue to be the main sources of energy supply to consumers in the Western Arctic, while a significant share of nuclear power will remain in the Murmansk region. Under these circumstances, in the regions the tasks of providing gas supplies and increasing the use of local energy resources are set. Gas supplies methods as well as types of local energy resources may differ for different regions. Purpose of the study it to find out trends in the development of energy supply in the regions of the Western Arctic of Russia in the medium term. Methodology includes information analysis on the research topic, generalization, comparison, systematization. Results: it was found that the trends in the development of energy supply in the regions of the Western Arctic were an increase in gas supplies and the use of local energy sources. The formulated criteria for choosing energy resources are accessibility, economic feasibility, and environmental acceptability. Practical implications. The obtained results can be applied in making decisions on energy development in the Western Arctic regions, as well as to prepare courses on energy economics and regional economics.

Abstract This study employs a sophisticated bi‐level optimization methodology to model the most efficient operation of microgrids (MGs) within the operational framework of distribution companies (DCs). In this bi‐level optimization problem, the upper level strives to maximize the profits of both MGs owners and DCs, while the lower level is dedicated to ensuring load balance, managing distributed generation, and implementing load curtailment strategies. The coordination of power transmission is facilitated by the DCs. At the upper level of decision‐making, the optimal pricing strategies for power transactions are determined, accounting for various factors such as market prices, demand response programs, and uncertainties in wind speed. Through the utilization of a bi‐level optimization framework, this study comprehensively captures the complex interactions between MGs and DCs, taking into consideration the objectives and constraints of both entities. This approach offers a more precise representation of the decision‐making process in retail electricity markets, thereby providing valuable insights into the optimal operation of MGs within the DCs setting.

Purpose. To analyze the energy saving reserves under the conditions of implementation and integration of the system in order to find rational driving modes in the general system of managing underground electrified transport. Methodology. The work presents the method for processing data arrays obtained experimentally with the help of a measuring system and theoretically with the use of the “Rational Trajectory” software. Findings. Experimental studies were carried out using a testing system created on the basis of a refurbished train with energy recovery system. Theoretical studies were carried out using the “Rational Trajectory” software, which is based on the principle of solving a multi-criteria problem by the method of the main criterion. The minimum amount of electricity consumption from the overhead contact line was chosen as the main criterion. The software was developed in the LabVIEW graphical programming environment in order to determine the rational modes of driving rolling stock and energy indicators in a given area of its operation. The amount of electricity consumed for traction and the amount of electricity generated by the train during regenerative braking were determined based on the results of experimental and theoretical studies, respectively, under typical and rational modes of driving the train for given identical operating conditions. Originality. Further research on the analysis of energy saving reserves on the rolling stock of underground electrified transport was achieved due to the introduction of a system for finding a rational driving mode. Practical value. It has been established that the implementation and incorporation of the “Rational Trajectory” software into the train control system will save up to 14.7 % of the amount of electricity consumed for traction, compared to typical modes operation on a given track section. [ABSTRACT FROM AUTHOR]

This study employs a sophisticated bi‐level optimization methodology to model the most efficient operation of microgrids (MGs) within the operational framework of distribution companies (DCs). In this bi‐level optimization problem, the upper level strives to maximize the profits of both MGs owners and DCs, while the lower level is dedicated to ensuring load balance, managing distributed generation, and implementing load curtailment strategies. The coordination of power transmission is facilitated by the DCs. At the upper level of decision‐making, the optimal pricing strategies for power transactions are determined, accounting for various factors such as market prices, demand response programs, and uncertainties in wind speed. Through the utilization of a bi‐level optimization framework, this study comprehensively captures the complex interactions between MGs and DCs, taking into consideration the objectives and constraints of both entities. This approach offers a more precise representation of the decision‐making process in retail electricity markets, thereby providing valuable insights into the optimal operation of MGs within the DCs setting. [ABSTRACT FROM AUTHOR]

Identifying price fluctuation patterns between traditional, alternative energy resources of raw material origin and the systemic world transformations is vital in understanding the variability of stable and effective functioning of relevant assets at different stages of economic waves in the context of global environmental challenges. This study was aimed at examining the dynamics of irregularity in the prices of various energy resources derived from raw materials in the global economy as investment assets within the framework of global economic changes. The price pattern of conventional and alternative energy resources on the global market were also examined alongside the connection between them and the price of electricity. The study made use of the monitoring method and the comparison method of various energy resources in terms of costs, availability, the influence they have on the market, and how they differ from each other. Secondary data was also collected from monographs and publications by Ukrainians and international experts on the subject matter. The analysis of the structure of energy resources was done in a retrospective manner following the reporting format of international organizations chosen as a base. Results revealed that the price dependency of traditional and renewable energy sources differs. While traditional energy is connected to economic cycles, the price of renewable energy is more influenced by technological advancements and less by global economic cycles. It is interesting to note that the price of renewable energy is mostly unaffected by global challenges and crises. The study recommend the results to be applied in national strategies for forecasting prices and modeling market conditions and consumer demand. [ABSTRACT FROM AUTHOR]

For Russia's successful development in new geopolitical conditions, it is necessary, through intensifying investment policy, to seriously increase the country's economic potential, providing it with a stable energy base with the maximum possible participation in world energy markets. Based on updated forecasts for the export of Russian fuel, three scenarios for accelerating the development of the economy and fuel and energy complex of Russia for the period up to 2050 have been formed. The energy supply requirements for these scenarios have been studied in connection with the dynamics of greenhouse gas emissions. A corridor has been identified for rational growth rates of investment in fixed capital with the corresponding dynamics of gross domestic product (GDP) and development of the energy sector until 2050. [ABSTRACT FROM AUTHOR]

As energy resource prices are on the rise and the stability of energy supplies is increasingly challenged by the current geopolitical climate, it is essential to scrutinize the capability of households to adapt to the resulting circumstances by assessing the current and potential household energy supply and adapting solutions to energy consumption habits. The aim of the research is to study of the energy consumption behaviour of households in the Baltic States amidst a significant increase in prices. The research methods encompass the examination of literary sources, categorization, amalgamation, abstraction, and juxtaposition in the theoretical segment, as well as a case study focusing on energy consumers in Lithuania, Latvia, and Estonia. Notably, the study presents a unique analysis of the unprecedented scenario of substantial price hikes across all energy usage categories in the region. An examination of individual responses concerning energy consumption illustrates a notable escalation in household expenditures on electricity and heating. Households are endeavouring to curtail energy expenses through various conservation techniques. A correlation between income levels and household energy consumption is evident.

Summary: Climate modeling suggests that achieving international climate goals requires a reduction in current CO2 emissions by over 90%, with any remaining emissions to be addressed through carbon dioxide removal (CDR) solutions. Sixteen CDR strategies are evaluated by integrating technical potential, environmental, social, and governance (ESG) criteria, along with sequestration permanence. This evaluation, conducted by ENGIE’s scientific council using an interdisciplinary Delphi panel methodology, proposes a “quality” measure for each technology. This measure combines ESG scores and sequestration timescales to rank and select the most promising solutions. The findings highlight the necessity for further research to understand and mitigate ESG impacts, aiming to inform both future research and current decision-making to support the effective and legitimate use of CDR strategies.

Strategic competition between the United States and China is the most crucial factor determining the stability of the global security system, including economic security. The dynamic economic growth of China in the 21st century and the rap[1]id enrichment of its society have garnered admiration, especially among the Global South, which China aims to lead. This progress occurred under relatively transparent rules established by the West under the leadership of the USA. However, China’s authoritarian government has used its effectiveness and agency to argue for its political and economic model. Currently, China faces significant development challenges, including a demographic crisis, increasing debt, and a weakening real estate market. Meanwhile, the United States is taking measures to limit China’s further economic growth, particularly in modern technologies and trade. China’s ability to overcome these barriers will determine whether it can achieve global economic dominance.

Abstract Maintaining stability in modern power systems is challenging due to complex structures, rising power demand, and load disturbances. The integration of renewable energy sources further threatens stability by causing imbalances between generation and demand. Conventional load frequency stabilization methods fall short in such scenarios. This paper proposes an optimal fractional‐order proportional‐integral‐derivative‐acceleration (FOPIDA) controller, enhanced by a robust adaptive neuro‐fuzzy inference system (ANFIS), to improve load frequency control and reliability in power systems with wind and solar generators. First, the dynamical model of a multi‐area interconnected power system, including a thermal power plant, wind turbine, and solar photovoltaic generators, is developed. A decentralized ANFIS‐FOPIDA controller is then designed for load frequency control objectives. The gains of this controller are optimized using the whale optimization algorithm (WOA), focusing on frequency deviation and tie‐line power exchange. Simulations on a New England IEEE 10‐generator 39‐bus power system demonstrate the approach's effectiveness under various disturbances, including random load‐generation disturbances and nonlinear generation behaviors. Comparisons with other strategies, such as fractional order (FO) beetle swarm optimization algorithm (FOBSOA)‐FOPIDA, WOA‐PIDA, and WOA‐ANFIS‐PIDA, and recent control approaches highlight the superior performance of the WOA‐ANFIS‐FOPIDA method in enhancing power system stability.

Without a well-defined energy management plan, achieving meaningful improvements in human lifestyle becomes challenging. Adequate energy resources are essential for development, but they are both limited and costly. In the literature, several solutions have been proposed for energy management but they either minimize energy consumption or improve the occupant's comfort index. The energy management problem is a multi-objective problem where the user wants to reduce energy consumption while keeping the occupant's comfort index intact. To address the multi-objective problem this paper proposed an energy control system for a green environment called PMC (Power Management and Control). The system is based on hybrid energy optimization, energy prediction, and multi-preprocessing. The combination of GA (Genetic Algorithm) and PSO (Particle Swarm Optimization) is performed to make a fusion methodology to improve the occupant comfort index (OCI) and decrease energy utilization. The proposed framework gives a better OCI when compared with its counterparts, the Ant Bee Colony Knowledge Base framework (ABCKB), GA-based prediction framework (GAP), Hybrid Prediction with Single Optimization framework (SOHP), and PSO-based power consumption framework. Compared with the existing AEO framework, the PMC gives practically the same OCI but consumes less energy. The PMC framework additionally accomplished the ideal OCI (i-e 1) when compared with the existing model, FA–GA (i-e 0.98). The PMC model consumed less energy as compared to existing models such as the ABCKB, GAP, PSO, and AEO. The PMC model consumed a little bit more energy than the SOHP but provided a better OCI. The comparative outcomes show the capability of the PMC framework to reduce energy utilization and improve the OCI. Unlike other existing methodologies except for the AEO framework, the PMC technique is additionally confirmed through a simulation by controlling the indoor environment using actuators, such as fan, light, AC, and boiler. [ABSTRACT FROM AUTHOR]

Nowadays, energy resources (oil, coal and natural gas) are limited, studies on turning to alternative or sustainable energies have increased in recent years. Among the sustainable energy sources, solar energy attracts the most attention. Researchers in many industries are engineering all kinds of better-performing materials, abourt solar cells The most important point in using solar energy is the efficient conversion of sunlight into electrical energy. I this study Sr doped BaTiO3 candidate has strong photorefractive sensitivity and large electrooptic coefficients, making it a suitable crystal for use as a semiconductor in photovoltaic systems. In this study, optical properties of BaTiO3 were calculated with Denstiy Functional Theory (DFT). [ABSTRACT FROM AUTHOR]

Maintaining stability in modern power systems is challenging due to complex structures, rising power demand, and load disturbances. The integration of renewable energy sources further threatens stability by causing imbalances between generation and demand. Conventional load frequency stabilization methods fall short in such scenarios. This paper proposes an optimal fractional‐order proportional‐integral‐derivative‐acceleration (FOPIDA) controller, enhanced by a robust adaptive neuro‐fuzzy inference system (ANFIS), to improve load frequency control and reliability in power systems with wind and solar generators. First, the dynamical model of a multi‐area interconnected power system, including a thermal power plant, wind turbine, and solar photovoltaic generators, is developed. A decentralized ANFIS‐FOPIDA controller is then designed for load frequency control objectives. The gains of this controller are optimized using the whale optimization algorithm (WOA), focusing on frequency deviation and tie‐line power exchange. Simulations on a New England IEEE 10‐generator 39‐bus power system demonstrate the approach's effectiveness under various disturbances, including random load‐generation disturbances and nonlinear generation behaviors. Comparisons with other strategies, such as fractional order (FO) beetle swarm optimization algorithm (FOBSOA)‐FOPIDA, WOA‐PIDA, and WOA‐ANFIS‐PIDA, and recent control approaches highlight the superior performance of the WOA‐ANFIS‐FOPIDA method in enhancing power system stability. [ABSTRACT FROM AUTHOR]

The main purpose of the study is to identify the thin-bed reservoirs of the Eastern Folded Belt (Sylhet and Bandarban) and characterize them with diligence. A detailed qualitative and quantitative analysis has been carried out. It is based on thin-section petrographic analyses of sandstone samples. These samples are from the reservoir horizons of the Sylhet region and Bandarban region fields. The purpose of this analysis is to characterize the textural and mineralogical properties. Additionally, it aims to evaluate the post-depositional diagenetic changes. The results obtained from the field and laboratory analysis are studied extensively to characterize the thin-bed reservoirs. Samples from the Sylhet area are medium-coarse-grained, fairly sorted, tight packing, submature-mature sublithic characteristics. Contrarily, samples from the Bandarban region are mature-submature sublithic arenites, which are fine-medium-grained, moderately well-sorted, and moderately loosely packed. Despite the similarity of the detrital elements (quartz, feldspar, lithic grains, mica, etc.) in the two areas, silica cementation is more frequent in Sylhet region samples than early carbonate cementation in Bandarban region samples. Comparatively speaking, the sediments in the Sylhet region are more compact than those in the Bandarban region. The most important outcome of this study is that the thin bed of the unconventional reservoir and the conventional reservoir are in close proximity. The Thin-bed reservoir units of the Eastern Folded Belt are found to be medium to fine-grained and well sorted, with frequent alteration of sand-shale with the prevalence of parallel bedded sandstone. Average porosity is 4% to 12%, and pore spaces are interconnected. So, the permeability rate is good enough to flow the hydrocarbon through these pore spaces. Most importantly, the thin bed and tight reservoir (average porosity 4% to 12%, but pore spaces are not interconnected) are not more prominent than 1 meter or 2 meters. Subsequently, though the vertical thickness is not so high, they keep up a momentous tirelessness of horizontal progression. On the contrary, at whatever point it comes to a conventional reservoir, the vertical thickness is higher than that of the unconventional reservoir. But their lateral persistence is not as long as unconventional ones. [ABSTRACT FROM AUTHOR]

Although, Spain does not obtain an official arctic strategy, it was mentioned in the paper for Spanish Polar Strategy that the Arctic region has become one of the country's national interests. The government of Spain is also deeply concerned about the problem of climate change and how it affects economic and social aspects of life. When addressing the Arctic energy issue we must make a prior delimitation, since it does not propose to study in detail, and only in general description, the internal functioning of the Arctic energy systems, that is, the one that serves to supply their populations with lighting, water, gas or electricity. [ABSTRACT FROM AUTHOR]

The climate challenges posed by the European Union are particularly difficult for emerging and developing economies. This causes reluctance to undertake them and even denial of their validity. For this reason, this article seeks to answer the question of whether it is possible to carry out an effective transformation of energy resources in the developing economies of the Visegrad Group. Analyses in this area are conducted in a long-term, 58-year research perspective (1965–2022) and concern the Czech Republic, Hungary, Poland, and Slovakia. The effectiveness of the examined transformation is assessed in two dimensions as follows: (1) resource and (2) emission, which are then synthesized using a multi-criteria analysis. This research shows that an effective resource transformation aimed at a zero-emission economy is possible even in emerging and developing economies, although it undoubtedly requires time and consistency in the implementation of the once-chosen energy policy. Hungary—a leader in assessed climate effectiveness—has systematically decarbonized while reducing the use of total non-renewable resources. The Hungarian resource transition strategy assumed the use of nuclear energy and an increase in the share of renewable resources. The result of these activities is a quite diversified energy mix, which is greater resource self-sufficiency and low carbon dioxide emissions. The Czech Republic also achieved a similar strategy and results. Poland and Slovakia coped much worse with the climate challenge: although they gave up coal, they replaced it largely with other non-renewable resources. It is worth emphasizing that Poland has managed to significantly increase the use of renewable resources, and nuclear energy and hydropower have also appeared in the Slovak mix. Nevertheless, this did not allow for achieving good climatic results. [ABSTRACT FROM AUTHOR]

Summary: Rooftop photovoltaics (RPVs) are crucial for decarbonizing the power sector and achieving carbon neutrality, with expected future capacity increases. The growth of RPVs necessitates substantial aluminum (Al) resources, contributing significantly to carbon dioxide (CO2) emissions from Al production. Given China’s bauxite shortage, recycling Al from waste RPV panels presents an effective solution to enhance resource security and mitigate CO2 emissions. We developed a framework to project waste RPV quantities and assess the recycling potential of Al and its impact on CO2 emissions from 2020 to 2060. Our findings indicate potential waste flows of 95–221 million tonnes (Mt) and recycled Al ranging from 5 to 28 Mt, with a primary Al supply gap of 25–43 Mt. Recycling could reduce CO2 emissions by 35–207 Mt over the period. This research underscores the importance of Al resource security and sustainable RPV industry development in China’s pursuit of carbon neutrality.

Summary: A massive expansion of renewable energy (RE) is underway to meet the world’s climate goals. Although RE serves to reduce threats from climate change, it can also pose threats to species whose current and future ranges intersect with RE installations. Here, we propose a “Climate-Smart Siting” framework for addressing potential conflicts between RE expansion and biodiversity conservation. The framework engenders authentic consultation with affected and disadvantaged communities throughout and uses overlay and optimization routines to identify focal areas now and in the future where RE development poses promise and peril as species’ ranges shift in response to climate change. We use this framework to demonstrate methods, identify decision outcomes, and discuss market-based levers for aligning RE expansion with the United Nations Global Biodiversity Framework now and as climate change progresses. In the face of the climate crisis, a Climate-Smart Siting strategy could help create solutions without causing further harm to biodiversity and human communities..

Summary: The building sector is integral to climate change mitigation in China as well as the globe. By considering the impact of green innovation, we explore the long-term trend of carbon emissions in China’s building sector until 2060, encompassing its entire life cycle. Results show that CO2 emissions of China’s building sector will peak at 6.98–7.69 Bt in 2035 and maintain at 1.11 Bt in 2060 under the business-as-usual (BAU) scenario. The “3060 dual carbon goal” will only be achieved under the technological breakthrough (TB) scenario. These findings show that existing or relatively lax policies are insufficient to achieve the “3060” goal for the building sector. China should actively pursue green technological innovation throughout the building sector’s life cycle, with a focus on accelerating the green and low-carbon production of key products, such as steel and cement, at the building material production stage.

Abstract The decarbonization of the power generation and transport sector encourage the analysis of connection of distributed energy resources (DER), such as electric vehicles (EVs), to the electrical system, as well as the evaluation of their impact on smart cities. A better understanding of the negative impacts on the power systems will lead to propose mitigation measures and eventually revolutionize the way distributed generation works. This paper aims at modelling and evaluating the impact of EVs on a real distribution network. The energy system chosen operates at 60 Hz, 34.5 kV (medium voltage) and 0.208 kV (low voltage) and it is simulated using PSCAD/EMTDC. To reproduce realistic user consumption profiles, dynamic load profiles based on EV owners behaviour have been simulated. The vehicle‐to‐grid (V2G) technology is modelled to mitigate the impacts of high penetration of EVs by supporting the network from undervoltage. The results show the importance of active management in modern power systems, especially considering the increase in DER penetration expected for the coming years. This work shows the benefits of implementing V2G technology while highlighting the challenges involved in a real case.

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The decarbonization of the power generation and transport sector encourage the analysis of connection of distributed energy resources (DER), such as electric vehicles (EVs), to the electrical system, as well as the evaluation of their impact on smart cities. A better understanding of the negative impacts on the power systems will lead to propose mitigation measures and eventually revolutionize the way distributed generation works. This paper aims at modelling and evaluating the impact of EVs on a real distribution network. The energy system chosen operates at 60 Hz, 34.5 kV (medium voltage) and 0.208 kV (low voltage) and it is simulated using PSCAD/EMTDC. To reproduce realistic user consumption profiles, dynamic load profiles based on EV owners behaviour have been simulated. The vehicle‐to‐grid (V2G) technology is modelled to mitigate the impacts of high penetration of EVs by supporting the network from undervoltage. The results show the importance of active management in modern power systems, especially considering the increase in DER penetration expected for the coming years. This work shows the benefits of implementing V2G technology while highlighting the challenges involved in a real case. [ABSTRACT FROM AUTHOR]

In addition to agriculture, Brazil stands out as one of the main meat exporters. In beef production, the waste from the slaughter of a 400-kg bovine produces about 26 kg of waste. In pig farming, the waste generated in the slaughter of a 90-kg pig corresponds to 2.7 kg. Both residues are potential substrates for the production of bioenergy through anaerobic digestion and co-digestion. Likewise, the biogas plants in operation in the country annually generate 1.83 BNm3 of biogas, and the sector is expanding since the national production capacity is 42.7 Bm3/year. This biogas generated through the biological process is an energy source that stands out due to the growing demand for technologies that offer clean energy. Renewable energy sources can ensure greater diversity in the world's energy matrix, in addition to reducing greenhouse gases emissions and dependence on fossil fuels. Therefore, this review addresses the fundamentals of anaerobic digestion and co-digestion, the environmental impacts of biogas and biomethane, and Brazil's energy potential for biogas production. In addition, we discussed the biogas purification technologies, the applications of biomethane, and the current scenario and perspectives of Brazilian biogas involving government initiative policies, technical regulation, international panorama, and economic, environmental, and legislative aspects. [ABSTRACT FROM AUTHOR]

The contemporary electrical grid aims to deliver safe and reliable energy to consumers. As technology advances and distributed generation (DG) becomes more prevalent, the distribution system grows increasingly complex and decentralized. The swift integration of renewable energy sources, driven by concerns about global warming and carbon emissions, adds to this complexity. Given the direct link between the distribution system and consumer needs, reliability is paramount. However, the current distribution system faces operational issues, necessitating a dependable, resilient power system devoid of interruptions and glitches. Distributed generation (DG), along with its grid integration, holds promise in significantly enhancing the reliability of the existing distribution system. This research studied a case study of distribution system reliability evaluation using solar PV in the system. Various instances were addressed, and we found that after implementing DG, system dependability increased. For the case study and analysis, data were taken from a solar photo-voltaic energy source linked to the Kigali national grid in the Rwanda bus system. The Electrical Transient Analyzer Program (ETAP 19) software is utilized for modeling and reliability analysis. [ABSTRACT FROM AUTHOR]

One of the most studied permafrost-associated gas hydrate accumulations in Arctic Alaska is the Eileen Gas Hydrate Trend. This study provides a detailed re-examination of the Eileen Gas Hydrate Trend with a focus on the gas hydrate accumulation in the western part of the Prudhoe Bay Unit. This integrated analysis of downhole well log data and published geophysical data has provided new insight on structural, stratigraphic, and reservoir controls on the occurrence of gas hydrates in the Eileen Gas Hydrate Trend. This study revealed the relatively complex nature of the gas hydrate occurrences in the Eileen Gas Hydrate Trend, with gas hydrates present in a series of coarsening upward, laterally pervasive, mostly fine-grained sand beds exhibiting high gas hydrate saturations. Most of the gas hydrate-bearing reservoirs in the Eileen Gas Hydrate Trend are laterally segmented into distinct northwest- to southeast-trending fault blocks, occur in a combination of structural–stratigraphic traps, and are only partially hydrate filled with distinct down-dip water contacts. These findings suggest that the traditional parts of a petroleum system (i.e., reservoir, gas source, gas migration, and geologic timing of the system formation) also control the occurrence of gas hydrates in the Eileen Gas Hydrate Trend. [ABSTRACT FROM AUTHOR]

In modernizing energy systems, European countries are focusing on a smart energy system, and one of the goals of which is the rational use of energy resources and the reduction of negative environmental impact. The concept of the low temperature district heating in the smart energy system is one of opportunities to decrease loses and waste of energy and to implement a systemic approach to the energy use. A roll-out could begin selectively, based on experimental project activities in the near future, new construction will be used to develop the business infrastructure necessary for later, more widespread deployment. The aim of the research is to summarize challenges and benefits in the implementing of the low temperature district heating concept in the smart energy system. The object of the research: challenges and benefits in the implementing of the low temperature district heating concept. The objectives: to systemise the smart energy approach in sustainable future; to analyse the concept of the low temperature district heating in a smart energy system; to characterise risks and opportunities of the low temperature district heating concept. There were used these scientific methods: induction, systemic analysis, comparative analysis and synthesis of partial scientific knowledge. Analysis of various scientific articles and studies shows energy conservation, increased use of renewable energies, smart grids to promote renewable energy utilization, cleaner technologies, multigeneration, and efficient storage of energy carriers are necessary conditions for the transition to smart energy systems for a sustainable future. The low temperature district heating concept is associated with some forms of risk, but the dissemination of experience and on modern digital technologies based management can help to achieve ecological benefits although reduced CO2 emissions, minimize heat loses and waste of energy, to reduce costs of energy production and to improve the image of heating companies. [ABSTRACT FROM AUTHOR]

Summary: The subsurface is pivotal in the energy transition, for the sequestration of CO2 and energy storage. It is crucial to understand to what extent geological faults may form leakage pathways that threaten the containment integrity of these projects. Fault flow behavior has been studied in the context of hydrocarbon development, supported by observations from wells drilled through faults, but such observations are rare in geoenergy projects. Focusing on mechanical behavior as early indicator of potential leakage risks, a probabilistic Coulomb Failure Stress workflow is developed and demonstrated using data from the Decatur CO2 sequestration project to rank faults based on their containment risk. The analysis emphasizes the importance of fault throw relative to reservoir thickness and pore pressure change in assessing reactivation risks. Integrating this mechanical assessment with geological and dynamic fault analyses contributes to derisking fault containment for geoenergy applications, providing valuable insights for the successful development of subsurface storage projects.

Background. The paper discusses methods for using visual systems engineering tools using the example of additive manufacturing processes. Materials and methods. The trends in creating load-bearing structures of electronic equipment based on additive technologies are analyzed. The capabilities of additive technologies and their advantages compared to traditional technologies for the production of standard parts of load-bearing structures are systematized. The main attention is paid to the principles of visual modeling of additive technologies. A method for synthesizing a model range of parts for supporting structures of electronic equipment, the production of which is possible using additive technologies, is proposed. The advantages and disadvantages of using technologies for visual modeling of complex systems are analyzed. Results and conclusions. The advantages and disadvantages of systems engineering design procedures using visual methods and tools are summarized using the example of the analysis of additive technologies. Recommendations are given for the use of visual systems analysis tools in the context of digital transformation of design procedures for advanced electronic equipment.

The author’s definition of energy efficiency of the economy has been proposed in the article. The main indicators of energy efficiency, which determine the rating of Ukraine among other countries of the world, have been analyzed. It is emphasized that the introduction of martial law in Ukraine and the full-scale war significantly affected the energy efficiency of Ukraine’s economy due to the destruction of many energy infrastructure facilities. Attention is focused on the need to organize a systematic and standardized increase in the efficiency of the use of energy resources in domestic production systems. Based on the use of statistical information of the World Economic Forum, the indicators of energy saving efficiency of the countries of the world and their rating have been given. The foreign experience of using modern smart technologies and the main tools for ensuring energy efficiency of the economy have been studied. The authors stress that energy efficiency contributes to the reduction of energy consumption. The growing world population and rapid economic growth lead to increased energy consumption. However, many countries face challenges related to limited resources and growing energy dependence. Energy efficiency can help reduce dependence on energy imports and provide a more sustainable and efficient economy. The expediency of implementing modern technologies and tools of ensuring energy efficiency as a factor in the future revival and development of the economy of Ukraine has been proven. It has been substantiated that in modern conditions, Ukraine needs to change the policy of energy consumption and energy supply as soon as possible, maximizing the consumption of fuel and energy resources, which the country is rich in (coal, nuclear fuel, renewable sources), and accordingly reducing the consumption and import of natural gas - the most expensive and scarce resource. It is noted that in order to ensure the energy efficiency of residential construction, it is necessary to lay down energy-saving technologies and new energy-saving methods at the design stage. The introduction of martial law and full-scale war significantly affected the energy efficiency of Ukraine’s economy due to the destruction of many energy infrastructure facilities. A decrease in energy efficiency can have serious consequences for the country’s economy, in particular, an increase in the cost of energy resources, a decrease in the competitiveness of enterprises, and a threat to the stability of electricity supply to the population and industry. The destruction of energy infrastructure facilities, such as power plants, transformer substations, gas pipelines and oil pipelines, can lead to a decrease in energy production capacity and a deterioration in the quality of supply. This can cause problems with electricity supply, heating, education, maintenance of industrial enterprises and infrastructure. In connection with the explosion by the russian occupiers of the Kakhovskaya HPP, the Ministry of Energy initiates the decision to increase electricity imports from the EU to 2 GW. On the other hand, military actions on the territory of Ukraine may lead to a decrease in investments in the field of energy efficiency and the development of renewable energy sources, priority is given to military needs and the restoration of damaged infrastructure. In this regard, to increase energy efficiency after the war in Ukraine, the reconstruction and restoration of energy facilities using modern smart technologies to ensure a reliable supply of electricity are particularly important. Based on the results of the analysis and taking into account the experience of foreign countries, an algorithm for ensuring energy efficiency in Ukraine has been proposed. The proposed algorithm for ensuring energy efficiency in Ukraine may include the following steps: - Analysis of the situation: conducting a detailed analysis of the current state of energy efficiency in Ukraine, including an assessment of resource use, energy production, consumption and system efficiency. - Setting goals: setting specific energy efficiency goals, such as reducing energy consumption by a certain percentage during a certain period, increasing the use of renewable energy sources, etc. - Strategy development: developing a comprehensive strategy for energy efficiency, which includes measures to improve the efficiency of energy production, transmission and consumption. The strategy should take into account the needs of different sectors, including industry, construction, transport and households. - Legislative support: developing and adopting legislation aimed at supporting energy efficiency, including incentive mechanisms, tax incentives and regulations governing energy efficiency standards. - Implementation of measures: taking the necessary steps to implement the energy efficiency strategy, including legislative and regulatory measures, support for innovative technologies, training and education on energy efficiency, financial support, etc. - Monitoring and evaluation: providing a system for monitoring and evaluating the results of energy efficiency measures; determining performance indicators that allow to assess the achievement of goals and make timely adjustments to the strategy, if necessary. - Financing: allocating financial resources to support energy efficiency projects, including government subsidies, credit programs and investment incentives for the private sector. - Information and education: conducting informational and educational events to raise the awareness of the public, enterprises and organizations about the advantages of energy efficiency, methods of reducing energy consumption and environmental benefits. - Technological solutions: implementing new modern technologies and innovations aimed at reducing energy consumption, using renewable energy sources and increasing energy efficiency in various sectors of the economy.

Abstract Faced with the uncertainty of wind and photovoltaic power output and load fluctuation caused by the increase of new energy penetration in active distribution network, the demand for operational flexibility and the construction demand for flexible resources of distribution network are gradually increasing. The flexible operation of active distribution network can be realized by coordinated planning of the soft open point integrated with energy storage system (ESOP) and flexible resources. Firstly, the flexibility resource adjustability evaluation and margin indicators are proposed for the response model of typical flexibility resources. Secondly, a two‐stage distributionally robust coordinated planning model considering the coordination planning scheme of distributed generation, flexibility resource, and ESOP as well as the comprehensive norm uncertainty of wind power and photovoltaic outputs multi‐operation scenarios is established with the distribution network construction cost, annual operation cost, and annual power sales revenue as the objective functions meanwhile the investment and flexibility resource operation as constraints. Finally, the column constraint generation algorithm is used to solve the problem, and the effectiveness of the proposed model is verified by the modified IEEE33 node system.

In the 21st century, the issue of energy security is an important challenge for many states. Energy independence is an important component of the country’s national security. That is why its development is considered a priority of the country’s economic policy. Along with the trends of globalization, international energy relations are increasing day by day. However, the issue of energy security and vulnerability is equally on the agenda, which in turn is related to the problems of access to energy resources and the aggressive appeal of industrialized states with this issue, which creates a destabilizing vulnerable environment in the state. This issue was clearly revealed in the background of the 2022-2023 war between Russia and Ukraine. The mentioned issue is one important part of this paper, along with which the issue of renewable energies is also discussed. Renewable energies, the so-called practical way to get rid of petroleum products is growing more and more. Accordingly, the mentioned work considers both issues equally on the example of the European Union’s energy security strategy, within the framework of the Russia-Ukraine war. The paper discusses the European Union’s energy security policy and current challenges.

This paper presents an Accounting and Valuation (AV) method within the scope of Integrated Resource Planning (IRP) to analyze social impacts when implementing new energy resources. The method is based on a critical analysis from existing assessments regarding the IRP and its design is based on algorithms that convert qualitative information of social attributes into absolute values. These values feed the subsequent stages of the IRP to select the best energy resource (among available options) to be implemented. The method has been applied and tested as a pilot case in a rural region in Peru. This work provides extremely valuable information for decision-makers to assess, with real and quantitative data, investment decisions regarding energy planning.

Waterbodies’ thermal energy potential, as a green, renewable, and limitless source of energy, can be exploited in response to the growing energy demands of islands and coastal cities. Up to now, the technologies that have been developed for this purpose include seawater air-conditioning, surface water heat pump, and ocean energy thermal conversion systems or their combinations, which are presented here as Waterbodies Thermal Energy Based Systems (WTEBSs). The growth and development of these technologies raise concerns regarding their potential impacts on sustainability of the marine environment. The present work provides a comprehensive review of the available literature and state-of-the-art technologies describing potential interactions of WTEBSs throughout their life-cycle (i.e. including construction, installation, operation, and decommissioning) with the marine ecology. Modelling of seawater discharge dispersion as one of the main environmental impact concerns regarding the operation of WTEBSs is detailed and scopes for improving existing modelling tools are discussed. Potential destructive impacts of fouling and corrosion in WTEBSs are reported and deterrent recommendations are highlighted. Evidence of growth of bio-fouling inside of pipelines and associated mesh filtration baskets at abstraction pipe intakes are presented. The required permitting applications and licensing processes for installation and operation of WTEBSs by the relevant authorities are summarised. Finally, a summary of the findings from the data monitoring of water quality properties of a seawater air-conditioning pilot study performed at Brixham Laboratory, University of Plymouth, United Kingdom is reported.

The United Nations’ Sustainable Development Goals for 2030 provide a foundation for this study. These SDGs encompass crucial targets pertaining to sustainable development (SDG-8), responsible energy consumption (SDGs 11 and 12), access to clean and affordable energy (SDG-7), and environmental sustainability action (SDG-13) and among others. To this end, the research employs advanced panel methodologies to investigate the heterogeneous effects of energy resources and financial development on a sustainable environment. The study adopts second-generation econometric tools to evaluate the model’s cross-sectional dependence, and the cointegration methodology proves the long-run correlation between the indicators. Additionally, the ordinary least square and the panel quantile regression results reveal long-run estimations. These long-run studies provide reliable information on environmental sustainability dynamics in the E-7 economies. The analysis reveals that the effects of the high financial development, rapid economic growth and fast-growing nonrenewable energy resources significantly impact environmental sustainability from 2000–2020 within the E-7 bloc. Furthermore, the results from both the OLS and the PQR indicate that the coefficients for renewable energy resources and globalization are negative across all quantiles (Q25to Q95quantiles) with regard to CO2 emissions. These findings advocate for a policy framework that aligns with the SDGs. The study also proposes a comprehensive policy framework for the E-7 nations to promote progress toward SDGs (7, 8, 9, 11, 12, 13, and 16).

Abstract Electricity generation in Taiwan is mainly from thermal, nuclear, and renewable sources. With nearly four decades of monthly data (from January 1982 to January 2022) used in analytics, the forecasting results reveal the patterns of electricity generation in Taiwan. Exponential smoothing and Holt–Winters seasonal models are used for time‐series forecasting, and scenario analysis is applied to simulate possible paths for nuclear phase‐out in Taiwan by 2025. Taking the fact of Taiwan's lack of energy independence into account, transition for nuclear phase‐out may require a substantial leap to meet the demand. The feasibility of electricity generation using current thermal power capacity and renewable energy remain challenging.

The introduction of low–waste and waste–free technologies is an actual development direction for oil and gas enterprises, in particular for oil refineries. Development of methodological approaches to the analysis and synthesis of complex energy systems in order to increase the efficiency and environmental safety of the objects under study through the introduction of low–waste and waste–free technologies, the implementation of technological cycles close to closed. The solution of the task is carried out in accordance with the basic principles of the system analysis of complex objects, in stages: analysis of the structure of the object using the decomposition–aggregation approach; determination of internal and external links between the elements of the system; determination of the regularities of the functioning of the object and the complex of influencing factors. A block–hierarchical structure of an oil refining enterprise has been developed, which establishes quantitative and qualitative links between the elements of the system at all levels of the hierarchy. A system of performance indicators is proposed, in accordance with which an assessment is made of the current state of the object under study. The most energy–intensive production facilities of an oil refining enterprise have been determined, their exergy balances, have been calculated. The analysis made it possible to assess the potential for increasing environmental and energy efficiency, the main directions for the implementation of low–waste and waste–free technologies. Science–based directions for improving environmental safety and energy efficiency of the object of study are determined. Several options for schemes are proposed, an assessment of the energy and technical and economic efficiency of the integration of the proposed solutions into the energy complex of oil refineries is carried out. The results obtained confirm the feasibility of integrating the proposed scheme in an existing enterprise.

The rapid spread of cryptocurrencies is one of the most relevant trends today. One of the significant risks of their spread is the increase in energy consumption, which has a negative impact on the environment due to carbon emissions. This requires the development of a scientific toolkit for assessing relationships and predicting the impact of cryptocurrencies on energy consumption, which is the aim of this paper.With the correlational regression analysis, the model of the dependence of spending on IT sector, energy consumption of Bitcoin, Ethereum and global capitalization of the cryptocurrency market was conducted, based on statistical data from Statista.com, Сoinmarketcap.com and International Data Corporation. To check the possible relationship, tests for the adequacy of the results obtained (Fisher’s test, Student’s t-test) confirmed the correctness of coefficients for independent variables.The results showed a significant direct correlation (Multiple R is 95%) of spending on IT sector, energy consumption and global capitalization of the cryptocurrency market. The established relationships allowed predicting that Bitcoin energy consumption may reach 142 Terawatt hours per year in 2026. And its impact on environment by mining in 2022 was at least 27.4 Mt of CO2 emission.As a proposal, a conclusion was made on the expediency of linking mining to the use of certain sources of electricity production, such as “residual” natural gas, nuclear power, renewable energy sources. The obtained results and conclusions may be used as a basis for political decisions in the field of energy efficiency and climate change mitigation.

Summary: Medium- and heavy-duty vehicles are 21% of US transportation greenhouse gas (GHG) emissions and a major source of air pollution. We explore how the total cost of driving (TCD) of zero-emission vehicles (ZEVs), including battery electric vehicles and hydrogen fuel cell electric vehicles (EVs and FCEVs), could evolve under alternative scenarios. With continued improvements in vehicles and fuels, ZEVs can rapidly become viable, potentially reaching TCD parity or better compared to diesel vehicles by 2035 for all market segments. For heavy long-haul trucks, EVs become competitive on a TCD basis at charging costs below $0.18/kWh, while FCEVs become competitive on a TCD basis at hydrogen costs below $5/kg. A full transition to ZEV sales by 2035 results in 65% emissions reductions by 2050 compared to 2019 without supportive policies. Incentives such as the Inflation Reduction Act vehicle purchase credits further accelerate ZEV TCD competitiveness with major adoption opportunities over the next five years.