Energy Security Research Articles

Trend Analysis of Cross-Border Electricity Trading in Pan-European Network

The long-term global target of facilitating energy security and optimizing resource utilization while supporting the transition to sustainable energy systems has led the pathway towards regional cooperation in the context of energy infrastructures and trading. Recent trends highlight the development of transnational energy grids, pipelines, and renewable energy projects, facilitating efficient distribution of electricity, gas, and other energy forms. These advancements offer benefits such as increased reliability of energy supply, cost savings through shared resources, and strengthened relationships between countries. However, challenges persist, including regulatory differences, geopolitical tensions, alignment of market rules as well as substantial investment requirements in infrastructure and technology. Addressing these challenges necessitates harmonized policies, robust legal frameworks, and cooperative international governance, which are crucial for effective cross-border energy trading. The aim of the work is to present the current landscape as well as analyze the latest trends and developments in the dynamic field of electricity interconnectors, providing insights into its trajectory and implications for the European internal energy market.

The Impact of the Russia-Ukraine Conflict on Global Economic Stability and Political Security

The conflict between Russia and Ukraine has emerged as a significant geopolitical tension, with far-reaching implications for global stability and security. This paper intends to study the impact of the war on the worlds and regional economic development and political stability, and achieve some findings that may trigger further policy considerations in mitigating challenges and issues imposed by the war. Through literature reviews and comparison analysis, the findings reveal economic, political, and security consequences of the conflict. The disruption of trade flows, economic sanctions, and uncertainty have impacted both Russia and Ukraine, as well as the wider region and the world. Energy security concerns and shifts in military alliances have added to the complexity of the conflict. The expansion of NATO and increased rivalries between Russia and Western countries have further heightened tensions. Based on the findings, the paper concludes that the Russia-Ukraine conflict poses a significant threat to global economic stability and political security. It emphasizes the need for a multilateral approach to address the conflict and promote peace and stability in the region. Ceasefire agreements, humanitarian assistance, and reconstruction efforts are crucial steps towards long-term peace and development. The paper highlights the importance of prioritizing diplomatic solutions over short-term gains from the conflict. In summary, this paper intends to explore the implications of the Russia-Ukraine conflict on global stability and security, with findings that underscore the need for international cooperation and concerted efforts to mitigate the consequences of the conflict and foster a peaceful resolution.

ENERGY SECURITY POLICY OF UKRAINE: STRATEGIC CHALLENGES AND INTERNATIONAL COOPERATION

The issues of energy security are among the decisive factors in determining domestic and foreign policy most countries of the world. The article is devoted to the evolution of the concept of energy security of Ukraine from the beginning of the 20th century to the present. Also raised are the problematic issues of the formation of the concept of international energy security at the current stage, which poses problems of a global nature to Ukraine, taking into account the risks that arise, which are resolved through dialogue between states. Which is especially important in the conditions of Russian aggression on the territory of Ukraine. The article analyzes the practical approach to the concept of “energy security”, reveals the main concepts of “energy security”. Based on the study of the concept of energy policy of countries that are importers, exporters and countries through which energy resources are transited, an attempt is made to identify unified approaches to the content of this concept. The analysis of the current international legislation showed the absence of a single formulation of the studied concept, which is based, in our opinion, on the difference in approaches and multifacetedness. At the same time, the authors indicate the need for a scientific analysis of this concept precisely from a legal point of view, which is justified by the need for constant regulatory support of the conditions necessary to ensure energy security. The article is devoted to the description of the main renewable energy sources and their use in Ukraine, which is dictated by the energy policy. According to experts, the potential of renewable energy sources is significantly higher than the total consumption of fuel and energy resources, which can reduce emissions of the latter into the atmosphere. Therefore, the need to immediately build a “green economy” in Ukraine is substantiated. Based on the theory and taking into account the similar experience of advanced countries, the directions, planned paths and mechanisms of accelerated development of Ukraine’s energy security policy were selected.

Russian-Ukraine War and its Impact on the European Economy

This study examines the impact of the Russian-Ukraine war on the economy of Europe, concentrating on trade disruptions, energy security, foreign direct investment (FDI) flows, and the socioeconomic ramifications of the war[1]induced refugee crisis. This study employs the descriptive research design, qualitative research method and a secondary source of data collection. The research uncovers the problems and possibilities coming from the war, as well as the larger implications for economic growth, development, and stability in the area. The results reveal severe interruptions to commercial links between European nations, especially Russia, and Ukraine, with key sectors such as energy, manufacturing, and agriculture facing considerable disruptions. Energy security emerges as a significant worry, spurring attempts to diversify energy sources and lessen dependence on Russian supply. Meanwhile, the war has resulted in a drop in FDI inflows to Russia and Ukraine, aggravating economic concerns in both nations and hurting their growth prospects. Furthermore, the research shows the burden on social welfare systems in European nations hosting migrants, since the inflow of refugees exerts great demands on resources and capabilities. Investments in housing, health care, education, and social welfare are vital for satisfying the different needs of displaced people and facilitating their long-term integration into society. However, issues connected to social cohesiveness, community connections, and political dynamics within host nations also occur. The study recommends diplomatic resolution of the dispute through peaceful discussions, involving European Union (EU) member states- Russia, Ukraine, and other parties. This could involve neutral mediation, de-escalating initiatives, and confidence-building measures.

Integrated market scheduling with flexibility options

This work presents a generic optimization framework using advanced mixed-integer programming techniques to integrate day-ahead and balancing markets with distributed energy resources such as storage, electric vehicles, demand response, and Transmission and Distribution System Operators' coordination schemes. The day-ahead model determines optimal initial energy scheduling, while the balancing model optimizes energy and reserve products for three market designs with varying Transmission and Distribution System Operators’ coordination. The framework is applied to the interconnected Greek-Bulgarian-Romanian power system, considering 2030 installed capacities.The model outputs illustrate market coupling scenarios among Romania, Bulgaria, and Greece, highlighting clear price signals and distributed energy resources flexibility. Results reveal the significance of a diverse energy mix for energy security and show that Transmission and Distribution System Operators’ coordination significantly influences ancillary service prices, with reductions of up to 80 % in certain scenarios. Net demand values determine electricity flow direction. Flexibility providers like storage can cover up to 100 % of the upward congestion management requirements and 11 % of upward balancing energy, helping smooth energy allocation from intermittent renewables. The impact of electric vehicle penetration on generation scheduling is minimal. The proposed model offers valuable insights for system operators, market participants, and policymakers, enabling them to provide accurate price signals and optimize resource allocation.The integrated day-ahead and balancing market models support efficient renewable energy integration, emissions reduction, enhanced grid stability, and investment in low-carbon technologies. This aligns with the United Nations Framework Convention on Climate Change goals, contributing to the development of sustainable and resilient energy systems.

Drought Tolerance in Plants: Physiological and Molecular Responses.

Drought, a significant environmental challenge, presents a substantial risk to worldwide agriculture and the security of food supplies. In response, plants can perceive stimuli from their environment and activate defense pathways via various modulating networks to cope with stress. Drought tolerance, a multifaceted attribute, can be dissected into distinct contributing mechanisms and factors. Osmotic stress, dehydration stress, dysfunction of plasma and endosome membranes, loss of cellular turgidity, inhibition of metabolite synthesis, cellular energy depletion, impaired chloroplast function, and oxidative stress are among the most critical consequences of drought on plant cells. Understanding the intricate interplay of these physiological and molecular responses provides insights into the adaptive strategies plants employ to navigate through drought stress. Plant cells express various mechanisms to withstand and reverse the cellular effects of drought stress. These mechanisms include osmotic adjustment to preserve cellular turgor, synthesis of protective proteins like dehydrins, and triggering antioxidant systems to counterbalance oxidative stress. A better understanding of drought tolerance is crucial for devising specific methods to improve crop resilience and promote sustainable agricultural practices in environments with limited water resources. This review explores the physiological and molecular responses employed by plants to address the challenges of drought stress.

Tackling the multitude of uncertainties in energy systems analysis by model coupling and high-performance computing

This paper identifies and addresses three key challenges in energy systems analysis—varying assumptions, computational limitations, and coverage of a few indicators only. First, results depend strongly on assumptions, i.e., varying input data. Hence, comparisons and robust results are hard to achieve. To address this, we use a broad range of possible inputs through an extensive literature review by scenario experts. Second, we overcome computational limitations using high-performance computing (HPC) and an automated workflow. Third, by coupling models and developing 13 indicators to evaluate the overall quality of energy systems in Germany for 2030, we include many aspects of security of supply, market impact, life cycle analysis and cost optimization. A cluster analysis of scenarios by indicators reveals three recognizable clusters, separating systems with a high share of renewables clearly from more conventional sets. Additionally, scenarios can be identified which perform very positive for many of the 13 indicators. We conclude that an automated, coupled workflow on supercomputers based on a broad parameter space is able to produce robust results for many important aspects of future energy systems. Since all models and software components are released as open-source, all components of a multi-perspective model-chain are now available to the energy system modeling community.

A Review of the Technological Aspects and Process Optimization of Bioethanol Production From Corn Stover Biomass: Pretreatment Process, Hydrolysis, Fermentation, Purification Process, and Future Perspective

ABSTRACTBioethanol, a sustainable energy solution derived from renewable biomass, has gained prominence, with corn stover emerging as a substantial biomass resource in Indonesia. Corn stover, a corn residue, is one of the top three agricultural wastes worldwide and is abundantly available. However, a significant portion of corn stover is burned in fields rather than utilized for bioethanol production, whereas it has potential as a bioethanol feedstock. As the world strives to realize sustainable and environmentally friendly energy security, bioethanol production from corn stover can be one of the solutions to be developed. Nonetheless, the current immaturity of bioethanol production technology is one of the causes of large‐scale production failure. The present paper comprehensively reviews the technological aspects and process optimization of bioethanol production using corn stover as a feedstock comprising pretreatment, hydrolysis, fermentation, and bioethanol purification processes. According to our critical review, ammonia fiber expansion (AFEX) pretreatment is the most effective conventional pretreatment, with glucose yield up to 90%. Moreover, ultrasound appears to be the most viable option for nonconventional pretreatment of corn stover for producing bioethanol. However, combining ultrasound pretreatment and dilute aqueous ammonia produced 80.6% sugar output. Furthermore, enzymatic hydrolysis emerges as the most effective saccharification, yielding up to 81.39%. Moreover, the fermentation process of corn stover with the saccharification and co‐fermentation (SScF) method and the process optimization with response surface methodology (RSM) could produce bioethanol with a concentration of up to 59.8 g/L and 92.07% ethanol yield, respectively. This review also reveals that pervaporation for the purification process is the best choice for producing bioethanol with high purity up to > 99%. In addition, this method could reduce the energy used by 6.6% lower, 24.2% lower carbon footprint, and have the lowest total capital and production costs compared to conventional molecular sieves and extractive distillation. We believe this review article can provide a reference for selecting the best bioethanol production process from corn stover for further research.

Energy Security, Intelligence and Innovation Quality: Evidence From China's New Energy Demonstration City Policy

ABSTRACTThe development of new energy and the application of intelligent technologies are crucial for ensuring energy security and promoting high‐quality economic growth. This article utilises a sample of A‐share listed enterprises in China from 2008 to 2020, employing a difference‐in‐differences (DID) approach to explore the impact of new energy demonstration cities (NEDC) on innovation quality and focuses on the role of intelligent development. It is found that the construction of NEDC contributes to the improvement of enterprise innovation quality. Corporate intelligence transformation further enhances the effect of the NEDC policy, demonstrating a synergistic relationship with new energy transition. Additionally, compared with collaborative innovation, the improvement effect of NEDC policy on enterprise self‐innovation quality is more significant. Non‐state‐owned enterprises, those in the growth stage, with a solid technological foundation and located in non‐resource‐based cities are more likely to achieve improvements in innovation quality during the energy transition. Our work provides empirical evidence and valuable insights for ensuring energy security and facilitating intelligent innovation development.

Optimizing Sustainability Offshore Hybrid Tidal-Wind Energy Storage Systems for an Off-Grid Coastal City in South Africa

South Africa’s extensive marine energy resources present a unique opportunity for advancing sustainable energy solutions. This study focuses on developing a sustainable hybrid power generation system that combines offshore wind and tidal current energy to provide a stable, renewable energy supply for off-grid coastal communities. By addressing the challenges of intermittency and unpredictability in renewable energy sources, the proposed system integrates wind and tidal energy with energy storage and diesel backup to ensure reliability while reducing greenhouse gas emissions and minimizing the environmental footprint. The system is optimized for sustainability, with a configuration of one wind turbine, five tidal turbines, and a diesel generator demonstrated to be the most effective in increasing the renewable energy fraction and lowering the net present cost. Simulations conducted using HOMER Pro version 3.20 software underscore the potential of this hybrid system to support South Africa’s transition to a more sustainable energy future, aligning with national and global sustainability goals. The results emphasize the environmental benefits of combining these renewable energy sources, offering a blueprint for achieving energy security and sustainable development in coastal regions.

Optimal replacement of coal with wind and battery energy storage

Abstract Electric utilities are considering replacing their coal power plants with renewables and energy storage to reduce emissions. However, they have also expressed concerns about operational changes and system reliability brought by these replacements. Utilities in remote rural areas face more challenges as they also face energy insecurity while having limited interconnections to wider systems and reliance on imported fuels. Therefore, it is critical for remote utilities to understand different coal replacement approaches and their impacts on system expansion, operation and energy security. In this paper, we define and investigate three approaches to replace coal using wind and batteries: 1) replacing exact coal generation, 2) replacing at least coal generation, and 3) replacing total energy provided by coal. We develop a case study inspired by the small remote grid in Fairbanks, Alaska, which has a single limited interconnection with the grid south of it. We utilize a power system expansion and economic dispatch model that co-optimizes the capacities of wind and batteries required for each approach and the hourly dispatch of energy and reserves for one year. We further analyze the operational cost variability under fixed and fluctuating fuel prices. We find that replacing the exact coal generation requires minimal operational changes, but also significantly more wind and battery capacities. In contrast, replacing total energy provided by coal induces more cycling in other resources, challenging grids with limited flexibility-providing resources. However, replacing total energy provided by coal allows more generation variability in response to fuel price fluctuations, enhancing energy security.

Reducing uncertainties of climate projections on solar energy resources in Brazil.

The share of solar power in Brazil's electrical grid has rapidly increased, relieving GHG emissions and diversifying energy sources for greater energy security. Besides that, solar resource is susceptible to climate change, adding uncertainty to electrical grid resilience. This study uses satellite and reanalysis data to evaluate the performance of CMIP6 models in replicating and predicting surface solar irradiance (SSR) in Brazil. The results from the most reliable models indicate an increase in SSR by 2% to 8% in most regions, with a decrease of around 3% in the South. These findings highlight the potential for increased photovoltaic (PV) yield if backed by supportive public policies while underlining the importance of uncertainty assessment of climate models.

The key role of sufficiency for low demand-based carbon neutrality and energy security across Europe

A detailed assessment of a low energy demand, 1.5 ∘C compatible pathway is provided for Europe from a bottom-up, country scale modelling perspective. The level of detail enables a clear representation of the potential of sufficiency measures. Results show that by 2050, 50% final energy demand reduction compared to 2019 is possible in Europe, with at least 40% of it attributable to various sufficiency measures across all sectors. This reduction enables a 77% renewable energy share in 2040 and 100% in 2050, with very limited need for imports from outside of Europe and no carbon sequestration technologies. Sufficiency enables increased fairness between countries through the convergence towards a more equitable share of energy service levels. Here we show, that without sufficiency measures, Europe misses the opportunity to transform energy demand leaving considerable pressure on supply side changes combined with unproven carbon removal technologies.

Revolutionizing Pharmacy Benefit Management: Cost-Reduction through Artificial Intelligence and Data Analytics in Healthcare

Pharmacy Benefit Managers (PBMs) are third party companies that function as intermediaries between insurance providers and pharmaceutical manufacturers. PBMs create formularies, negotiate rebates (discounts paid by a drug manufacturer to a PBM) with manufacturers, process claims, create pharmacy networks, review drug utilization, and occasionally manage mail-order specialty pharmacies. [1] Pharmacy benefit management (PBM) is important for keeping prescription drug costs under control. But the problem is that drug prices keep going up, which makes things tough for the healthcare industry. In this article, we look at how fancy technology like artificial intelligence (AI) and data analysis can help PBM find new ways to save money. By using advanced technology to study a large amount of information, PBMs can find patterns and make educated guesses about how to best use medications. Artificial intelligence makes this even more advanced by helping to quickly find and stop fraud, personalize medication plans, and predict costs more accurately. Remember this: AI and data analytics are being used to make pharmacy benefit programs work better. This helps save money and makes things better for patients. We look at how machine learning models can predict patient adherence, how natural language processing (NLP) can improve medication reviews, and how blockchain technology can keep supply chains transparent and secure. Real-world examples show how these technologies are already making a difference, such as cutting down on administrative work, reducing drug waste, and getting the most out of drug utilization. As more healthcare systems start using these advanced tools, it’s becoming clear that continual innovation and the inclusion of AI and data-driven methods are essential. This article highlights the importance of staying updated with the ever-changing ways of controlling prescription drug expenses by using new technology. For pharmacy benefit managers (PBMs) focused on offering the best value and working effectively despite increasing healthcare costs, adopting these advancements is not just a good choice, it's necessary.

Innovations for Holistic and Sustainable Transitions

Energy system planning has evolved from a narrow focus on engineering and supply works towards addressing more complex, multifactorial challenges. Increasingly challenged by climate change, extreme events, economic shocks, and altered supply demand patterns, the analysis of energy systems requires holistic approaches based on data-driven models, taking into account key socio-economic factors. We draw insights from reviewing the literature, indicating the need to cover the following major gaps: the shift to transdisciplinary approaches, incorporating environmental system analysis; resilient and sustainable energy designs based on flexible portfolios of renewable mixes; the integration of socio-economic aspects, economic analyses and behavioural models to ensure energy systems are not only technically sound but socially acceptable and viable; the need for stakeholder engagement considering the human angle in energy security and behavioural shifts. Responding to these pressing challenges and emerging needs, the Global Climate Hub (GCH) initiative, operating under the UN Sustainable Development Solutions Network, offers a conceptual framework, leveraging transdisciplinary approaches. In this Concept Paper, we present for the first time the idea of the GCH as a framework that we believe has the potential to address the modern holistic needs for energy system analysis and policymaking. By setting the conceptual/theoretical ground of our suggested approach, we aim to provide guidance for innovative combinations of cutting-edge models, socio-economic narratives, and inclusive interaction with relevant stakeholders for the development and the long-term implementation of sustainable pathways.

Urban-scale power decarbonization using a modified power purchase agreements framework based on Markowitz mean-variance theory

Urban power decarbonization is essential in the fight against climate change, yet current research often neglects the financial risks faced by investors and the shifting demands of consumers in liberalized electricity markets. This study addresses these gaps by proposing a modified Markowitz Mean-Variance Portfolio (MVP) theory, integrated with the Low Emissions Analysis Platform (LEAP), and a deep learning model. On this basis, an urban energy transition framework centered on Power Purchase Agreements (PPAs) is proposed and developed. The framework is validated considering a case study in Kitakyushu, Japan, highlighting its potential in accelerating power sector decarbonization and achieving net-zero emissions by 2038. Additionally, the internal rate of return (IRR) remains stable between 14.5 % and 19.6 % across seven other cities. While the framework reduces long-term cash flow volatility, its effectiveness hinges on industrial electrification efficiency and regional energy self-sufficiency. The findings indicate that relying solely on renewable energy for low-carbon transitions is unrealistic. Furthermore, green hydrogen could emerge as a viable alternative to fossil fuels, potentially replacing batteries for long-term energy storage. Future research should explore cross-regional energy trade and establish legal frameworks for long-term energy transactions to bolster urban energy transition resilience across diverse geographic and economic contexts.

Environmental and Socio-Economic Impact Assessment of Renewable Energy Using Machine Learning Models

Renewable energy sources, such as solar, hydro, wind, and geothermal energy, have emerged as key alternatives to fossil fuels in combating climate change and addressing energy security concerns in the USA and ad worldwide. Strategic use of this renewable resource is important not only for carbon emission reduction and improvement of environmental sustainability but also for maintaining future energy supplies. At the same time, such transition raises thorough assessments of environmental and socio-economic impacts. Machine learning (ML) models offer a powerful tool for predicting and analyzing such impacts, allowing for more efficient decision-making and long-term planning. These models are supposed to analyze patterns in energy production, land use, and emissions to make a more dynamic and predictive understanding of how renewable energy adoption influences CO2 levels. The principal aim of this research project was to develop and curate machine learning algorithms for predicting CO2 emissions based on renewable energy data, using the knowledge to better understand how solar, wind, hydro, and geothermal energy systems affect environmental outcomes. The predictive models developed in this research would serve as useful tools for the policymakers and major stakeholders in decision-making on investments in energy infrastructure and characterization of regulatory frameworks. These datasets for this research project were retrieved from several prominent institutions, including governmental agencies, international organizations such as the International Energy Agency-IEA and the World Bank, satellite data repositories, and USA environmental monitoring agencies. For this research project, 3 machine learning algorithms in the experiment were used, namely Logistic Regression, XG-Boost, and Random Forest. Amongst these three, the linear regression model gave the best performance, as it had the least MSE; indicating that its predictive capability was impressive. The comparative analysis of renewable energy projects in Germany, China, and California underlines that effective policy-making plays a very decisive role in the transition toward sustainable energy.

Exploring Nigeria’s waste-to-energy potential: a sustainable solution for electricity generation

Abstract This research explored the potential of waste-to-energy (WtE) technology as a sustainable solution to Nigeria’s energy deficit and waste management challenges. Various WtE technologies were reviewed, including incineration, anaerobic digestion, gasification, and pyrolysis, highlighting their applicability and benefits for Nigeria. The potential energy yield from different waste streams, combined with economic viability, environmental benefits, and social impacts, demonstrates the importance of WtE technology for the country. The lower heating value of municipal solid waste and agricultural residue significantly affects energy yield. The incineration of 27.36 million tons of organic waste annually while using relevant technology with energy recovery could generate between 14.52 and 23.08 TWh of electricity per annum. The inclusion of paper and textiles increases the potential yield to 18.69 and 29.71 TWh per year. The potential power generation from agricultural residues is estimated at 80.3 GW. However, Nigeria must address technical, economic, and policy challenges to realize this potential. This can be achieved by developing a robust regulatory framework, fostering public–private partnerships, enhancing local capacity, engaging communities, and investing in research and development. The implementation of WtE projects will facilitate sustainable waste management, improve energy security, create jobs, and promote environmental stewardship.

The Political Economy of Energy Security in Wartime Yemen

Abstract The politics of energy provision and the governance of the electricity sector are well-studied topics. However, there is a gap in information when it comes to comprehending how violent conflict interacts with the political economy of the electricity and energy sector. This paper examines the relationship between energy provision and conflict within the context of the ongoing war in Yemen. It illustrates how developments in the conflict trajectory since the war’s onset in 2015 have shaped new forms of energy politics. These developments are reflected in fragmented institutional arrangements, transformed subsidy politics, adaptive grassroots solutions, and emergent war economies, all of which highlight the changing nature of energy security beyond conventional state-centric paradigms. The Yemeni case thus demonstrates an emerging energy landscape in which the sector and war dynamics are deeply intertwined and evolving simultaneously.

Valorization and optimization of Prosopis africana pod and cowpea husk wastes for densified hybrid briquette production

Biomass is an eco-friendly alternative sustainable renewable energy source when agricultural wastes are effectively utilized. It has become critical to assess the suitability of biofuel briquettes as an energy source for cooking, electricity, and fuel for heating. Certainly, the integration of energy sources into energy policies is warranted, considering the huge potential to provide energy for rural communities and the peri-urban poor with alternative fuel. This research describes a technique to generate densified hybrid solid biofuels from biomass waste and valorize them. Prosopis africana pod (PAP) and cowpea husk (CPH) wastes were combined to create high-energy-density fuel briquettes. The experiment involves improving briquette manufacturing parameters using response surface methodology to better understand the impacts of particle sizes, composition, binder concentrations, and densification pressures on briquette performance. The optimal conditions were particle size 150 µm, 50% PAP, 10% binder concentration, and densification pressure 103.42 kN/m2. The optimum values for burning rate, ignition time, specific fuel consumption, and heating value were 0.35 g/min, 2.75 min, 0.186 g/L, and 22.98 MJ/kg, respectively. The findings show the potential for using PAP and CPH biomass waste to produce environmentally friendly energy sources. This increases the potential agro-waste feedstocks for bioenergy in developing countries, reducing energy insecurity while promoting waste management, renewable energy generation, and environmental sustainability.