Energy Resources Research Articles

Relationship between tooth macrowear and jaw morphofunctional traits in representative hypercarnivores

The mammalian adult dentition is a non-renewable resource. Tooth attrition and disease must be accommodated by individuals using behavioral, physiological, and/or musculoskeletal shifts to minimize impact on masticatory performance. From a biomechanical perspective, the musculoskeletal system becomes less efficient at producing bite force for a given amount of muscle input force over an individual’s life, because tooth-food contact area increases as cusps wear. In this study we ask the question: does mandibular biomechanical performance show evidence of compensation with increasing tooth wear? We use representative taxa of three carnivoran ecomorphologies (meat specialist, scavenger, bone cracker) as a study system to compare morphofunctional data on tooth macrowear, jaw depth, bite mechanical efficiency, and jaw stress during biting. No significant shifts in adult mandibular corpus dimensions occurs in the sampled taxa as canine and carnassial teeth wear. In bone cracking spotted hyenas carnassial biting mechanical efficiency increases significantly with increasing tooth wear, with no significant change in mandibular stress. Analyses of the fossil carnivore Hyaenodon suggests an increase in canine biting efficiency with increased tooth wear, but this may reflect interspecific variation or phylogenetic contingency rather than a life history shift. Overall, these findings indicate that scavenging hyaenids and felid meat specialists do not exhibit morphofunctional compensation for the decreased mechanical capability of worn and dull teeth. Behavioral modifications, rather than musculoskeletal adjustments, may instead play a major role in maintaining food acquisition and processing capabilities for individuals surviving into advanced ontogenetic age and tooth wear. These observations highlight the mammalian masticatory system as having a dynamic performance profile through its useful lifespan, and encourage a more nuanced understanding of past and present carnivore guilds by considering wear-dependent performance changes as a possible source of selection.

Breeding and biotechnology approaches to enhance the nutritional quality of rapeseed byproducts for sustainable alternative protein sources- a critical review

Global protein consumption is increasing exponentially, which requires efficient identification of potential, healthy, and simple protein sources to fulfil the demands. The existing sources of animal proteins are high in fat and low in fiber composition, which might cause serious health risks when consumed regularly. Moreover, protein production from animal sources can negatively affect the environment, as it often requires more energy and natural resources and contributes to greenhouse gas emissions. Thus, finding alternative plant-based protein sources becomes indispensable. Rapeseed is an important oilseed crop and the world’s third leading oil source. Rapeseed byproducts, such as seed cakes or meals, are considered the best alternative protein source after soybean owing to their promising protein profile (30%–60% crude protein) to supplement dietary requirements. After oil extraction, these rapeseed byproducts can be utilized as food for human consumption and animal feed. However, anti-nutritional factors (ANFs) like glucosinolates, phytic acid, tannins, and sinapines make them unsuitable for direct consumption. Techniques like microbial fermentation, advanced breeding, and genome editing can improve protein quality, reduce ANFs in rapeseed byproducts, and facilitate their usage in the food and feed industry. This review summarizes these approaches and offers the best bio-nutrition breakthroughs to develop nutrient-rich rapeseed byproducts as plant-based protein sources.

Crystallization, thermal, and compatibility performances of poly (butylene succinate) (PBS)/poly((R)‐3‐hydroxybutyrate‐co‐(R) 3‐hydroxyhexanoate) (PHBHHx) blends

AbstractBiodegradable materials provide protective properties comparable to conventional plastics while diminishing reliance on nonrenewable resources. Environmentally friendly polymer blends were prepared by melting poly(R)‐3‐hydroxybutyrate‐co‐(R)‐3‐hydroxyhexanoate) (PHBHHx) with poly (butylene succinate) (PBS). PBS was synthesized through esterification and polycondensation using 1,4‐butanediol and succinic acid, with tetrabutyltitanate as the catalyst. The PHBHHx is supplied by Bulepha®PHA Company of China, model number BP330. The effects of PHBHHx content on thermal behavior, compatibility, and thermal stability of PBS/PHBHHx blends were systematically investigated. Differential scanning calorimetry (DSC) results indicated that the addition of PHBHHx influenced the crystallization behavior, the crystallization temperature (Tc) of PBS decreased meanwhile, the crystallization half‐time of PBS is reduced to 1.5 min compared with neat PBS (5 min) after isothermal is crystallized at 95°C. Polarized Optical Microscopy (POM) images also revealed that crystallization rate accelerated in the blend with increasing PHBHHx content. Rheological and Scanning Electron Microscopy (SEM) analysis demonstrated that incorporating a significant content of PHBHHx reduced compatibility between PBS and PHBHHx. Mechanical property testing indicates that the addition of PHBHHx reduced the toughness of blends. Additionally, the addition of a small amount of PHBHHx imparts a higher crystallinity (56%) and heat resistance of the PBS/PHBHHx blends (78°C) was higher than neat PBS (74°C).Highlights Laboratory synthesis of high molecular weight PBS. Optimal ratios improved crystallinity and thermal stability of blends. A systematic study of the crystallization properties of blends.

Dye-Sensitized Solar Cells: Unveiling Barriers to Enhanced Performance

Global energy consumption is steadily increasing, and the world's reliance on non-renewable energy sources such as hydroelectric and thermoelectric power is unsustainable due to their diminishing availability. The photovoltaic (PV) devices have been developed through various methods for various applications, and among these, Dye- Sensitized Solar Cells (DSSCs) have emerged as a cost-effective and easily implementable technology. This comprehensive review paper offers an in-depth overview of DSSCs, aiming to provide insights into their construction, working principles, applications, and the significant challenges they face, primarily related to their low efficiency and stability. To fully commercialize DSSCs and compete with existing energy technologies, it is imperative to continue addressing and overcoming the efficiency challenges outlined in this review. KEYWORDS: TiO2, Dye Sensitized Solar Cell, Electrolyte, Photoanode, Counter Electrode

User preferences in ride-sharing mathematical models for enhanced matching

Ride-sharing services have attracted significant interest due to overcrowding, limited energy resources, and environmental concerns. This study proposes a mathematical programming model that integrates user preferences into the ride-sharing problem with transfer. Passenger transfer in ride-sharing problems addresses the limitations of the matching process, especially in less-populated areas. It allows passengers to be dropped off at meeting points and continue with another driver. Moreover, considering user preferences in ride-sharing systems is crucial for enhancing efficiency and user satisfaction. Accordingly, we propose a Preference-Driven Matching Algorithm for the matching process. Our proposed algorithm captures user preferences and provides potential matches. In addition, we introduce an Iterative Enhance-and-Optimize Algorithm capable of producing high-quality solutions within short computational times. We evaluate the efficiency of these approaches across various instances, focusing on real-scale scenarios. Based on the results, the model with preferences demonstrates effective performance compared to other methods. Our findings underscore the importance of user preferences in optimizing ride-sharing problems and highlight the trade-off between efficiency and user satisfaction. By incorporating user preferences, our approach results in higher user satisfaction, a more responsive and efficient system with reduced response times, and increased demand and revenue by servicing more users.

Design of a triple port integrated topology for grid-integrated EV charging stations for three-way power flow

Environmental fluctuations, solar irradiance, and ambient temperature significantly affect photovoltaic (PV) system output. PV systems should be efficient at the Maximum Power Point in various weather climates to maximize their potential power output. The Maximum Power Point Tracking (MPPT) technique is employed to plan a specific location that yields the maximum amount of power. Operating dispersed alternative energy sources connected to the grid in this situation makes energy control an unavoidable task. This research article suggests designing a power electronics converter topology that links sustainable resources and electric vehicles to the power grid. There are four modes of operation for this proposed converter topology: grid-to-vehicle, vehicle-to-grid, renewable-to-vehicle, and renewable-to-grid discussed. The three power electronic converters and their uses are discussed, and their controllers are also designed to maintain the energy balance and stability in all cases. The battery characteristics indicate the operating mode. The work primarily focuses on the converter’s Triple Port Integrated Topology (TPIT) power flow and voltage control. Here, three power converters integrate the TPIT with three systems-the electric grid, renewable energy, and electric vehicles-into one system. The source battery and solar photovoltaic (PV) array cells are integrated using unidirectional and bidirectional DC-DC converters. The future scope of the work is to investigate the potential of adding additional ports for integrating other energy resources, such as hydrogen fuel cells or additional renewable sources, to create a more versatile and robust energy management system for EV charging stations.

Renewable energy integration impact on power quality of supply of transmission system

Electrical energy is known as an essential part of our day-to-day lives. Renewable energy resources can be regenerated through the natural method within a reasonably short time and can be used to bridge the gap in extended power outages. Achieving more renewable energy (RE) than the low levels typically found in today’s energy supply network will entail continuous additional integration efforts into the future. This study examined the impacts of integrating renewable energy on the power quality of transmission networks. This work considered majorly two prominent renewable technologies (solar photovoltaic and wind energy). To examine the effects, IEEE 9-bus (a transmission network) was used. The transmission network and renewable sources (solar photovoltaic and wind energy technologies) were modelled with MATLAB/SIMULINK®. The Newton-Raphson iteration method of solution was employed for the solution of the load flow owing to its fast convergence and simplicity. The effects of its integration on the quality of the power supply, especially the voltage profile and harmonic content, were determined. It was discovered that the optimal location, where the voltage profile is improved and harmonic distortion is minimal, was at Bus 8 for the wind energy and then Bus 5 for the solar photovoltaic source.

Research on the status and prospect of microgrid technology

Abstract. With the increasing demand for electrical energy and the appeal of environmental protection, the world has started to pay attention to the application of microgrids. A microgrid is a grid with many advantages, such as independence, effectiveness in working, and environmental friendliness, and can solve both energy and environmental problems. The paper reviews the microgrid system: how it functions, how it has advantages in energy and environmental aspects, and the prospects of microgrid in the future using a literature review. Microgrid has a flexible operation since it can find the optimum solution for generation, transmission, and distribution by shifting smoothly between island mode (which generates electricity by itself and directly transmits it to the supply side) and grid-connected mode (which connects to macrogrid and is dependent on its power supply). It also has energy reliability for its control system and energy storage system to coordinate the output power, which enhances the utility of energy resources. Microgrid has great potential for solving energy problems in remote or poverty-stricken areas and has unlimited prospects in industry, residential communities, and utilities and energy providers.

Behavior of the Electricity and Gas Grids When Injecting Synthetic Natural Gas Produced with Electricity Surplus of Rooftop PVs

Distributed generation and sector coupling are key factors for economic decarbonization. Because gas networks have a large storage capacity, they have attracted the attention of power engineers to use them to increase the flexibility and security of supply in the presence of renewable and distributed energy resources. This paper makes the first attempt to integrate the electricity and gas systems to fill available gas storage facilities with synthetic natural gas on a large scale. This synthetic natural gas can then be used to operate gas turbines and to compensate for the fluctuating production of renewable energy sources. The LINK-holistic architecture, which integrates renewable and distributed energy resources, is used in this work. It facilitates sector coupling, which means power-to-gas and gas-to-power, throughout the entire power grid and at the customer level. This work is limited to investigating the power-to-gas process at the prosumer level. The electricity surplus of rooftop PVs is used to produce synthetic natural gas, fed into the gas grid after covering the local gas load. The behaviors of the electricity and gas grids are investigated. Results show that electricity prosumers may also become prosumers of synthetic natural gas. The current unidirectional gas grids should be upgraded with compressors at pressure reduction groups to turn them bidirectional, allowing synthetic natural gas storage in the existing large gas storage appliances after considering the pipes’ linepack effect. The proposed solution could make it possible to fill the underground storage plants in summer, when the electricity and synthetic natural gas production exceed electrical and gas demand, respectively.

Innovative Microgrid Services and Applications in Electric Grids: Enhancing Energy Management and Grid Integration

Currently, microgrids are a reliable solution for integrating distributed energy resources and managing demand on electricity grids, serving as a pathway towards a responsible energy transition. However, the evolving needs of the sector require specialized approaches to enhance grid flexibility and support the increasing penetration of renewable energy sources and their rising demand. This article explores and characterizes various advanced and innovative services offered by microgrids to improve the resilience, security, and reliability of electricity grids. It analyzes technical advances and novel control methodologies that demonstrate the potential for microgrids beyond mere energy provision. These include ancillary services, services aligned with demand response programs, and advanced asset management and energy resource optimization services. A global case study is conducted to provide a framework for the services that microgrids can provide. The case study validates the efficiency and reliability of electric grids with microgrids and addresses challenges related to their stability and resilience. This research provides a comprehensive perspective on the benefits of implementing microgrids and proposes new guidelines for the deployment of these systems in both urban and rural areas within the framework of energy communities in the Colombian electricity system, emphasizing the need for collaboration among stakeholders to ensure sustainable energy solutions.

Delivery room dextrose gel for preterm hypoglycaemia (the GEHPPI study): a randomised placebo-controlled trial

ObjectiveEarly hypoglycaemia at the time of neonatal intensive care unit (NICU) admission is common in very/extreme preterm infants. This study aimed to determine whether buccal dextrose gel in the delivery...

A Quantified Methodology for Evaluating Engineering Sustainability: Ecological Footprint Measurement Modeling

With the gradual increase in public awareness of ecological environmental protection, how to manage the increasingly tight supply of natural ecological energy and resources and the more evident greenhouse effect, how to properly treat and deal with the relationship between people, engineering and the ecological environment during the construction phase of engineering projects as well as how to evaluate the degree of environmental friendliness and sustainable development ability of engineering projects will become an urgent issue. Stakeholders in engineering projects must seriously consider these vital issues. Existing studies on the evaluation of engineering–ecology sustainable development capacity mainly focus on the regional and industry levels, with less research focusing on the sustainability of individual engineering projects; furthermore, they are primarily concentrated on the qualitative evaluation perspective. In order to refine these shortcomings, based on the viewpoint of the ecosystem of construction projects, this paper integrates the concept of whole life cycle with the ecological footprint measurement model and defines the notion of the ecological footprint of the whole life cycle of construction projects. Subsequently taking the above concept as the foundation and making the ecological footprint of various activities throughout the life cycle of a construction project a specific study object, the research establishes the ecological footprint measurement model of the whole life cycle of the project, and comprehensively evaluates the impacts on the surrounding environment, which include the consumption of energy resources, CO2 and the absorption of solid wastes across the whole life cycle of the project. We then measure the sustainable development ability of engineering projects by comparing the ecological footprint with the ecological carrying capacity of a certain surrounding region. Finally, the practicability and reliability of the model is verified through the example’s application. Thus, the results of the study have significant theoretical and practical implications: (1) the introduction of the ecological footprint addresses the gap about the quantitative evaluation of the sustainability of individual engineering projects from a micro perspective; (2) it compensates for the shortcomings of other evaluation methods that only evaluate a single element, such as only CO2, resources, energy or solid waste and so on; and (3) stakeholders can use the measured model to quantitatively assess the sustainability of new projects or urban renewal projects, providing strong support for project feasibility studies and project-establishment.

Analysis of user behavior and energy-saving potential of electric water heaters

As global energy resources get more limited and environmental problems worsen, it is crucial to enhance energy efficiency and reduce energy consumption in end-use products. This research focuses on electric water heaters, a significant household energy consumer, and collects a large amount of data through questionnaires and analyzes the current usage patterns of water heater use, as well as the impact of the users’ personal characteristics and energy-saving consciousness on usage behaviors. It also evaluates the energy-saving potential under different scenarios, considering both consumer behaviors and product efficiency levels. Results indicate that a substantial number of users still purchase high-energy-consuming water heaters and fail to adjust temperatures according to their specific needs, resulting in considerable energy waste. Electric water heaters exhibit significant potential for energy savings, with the efficiency of the product and user behaviors identified as key factors influencing overall energy consumption. The study provides important insights into the usage behavior of electric water heaters and offers actionable recommendations for manufacturers and government agencies: advocating the use of certified energy-efficient water heaters, raising public awareness of energy efficiency in appliance use, etc., which is in line with the country’s goals of energy conservation and environmental sustainability.

Power Plays in the Eastern Mediterranean And the Decline of US‐Turkey Relations

AbstractIn the summer of 2020, Turkey and Greece deployed naval vessels in the contested eastern Mediterranean waters, which led first to a standoff and eventually a collision. Soon after, a US warship arrived at Crete. While this move should have been intended to calm tensions between the two historical rivals, some observers saw this as a show of support for Greece, marking a significant shift from the traditional American role of mediator. This article examines the US responses to gas exploration and other disputes in the eastern Mediterranean, including the Greek‐Turkish divide over Cyprus. It argues that Washington's tilt toward Athens has been pushing Ankara to deepen its economic, diplomatic, and even military relations with Moscow. The United States could rebalance with Turkey and drive a wedge between it and Russia, for instance through incorporating its NATO ally into strategies for reducing Europe's reliance on President Vladimir Putin for energy resources. But if the current zero‐sum approach persists, Turkey is likely to continue to look east—which is not in the American interest.

A cloud-edge framework for energy-efficient event-driven control: an integration of online supervised learning, spiking neural networks and local plasticity rules

Abstract This paper presents a novel cloud-edge framework for addressing energy constraints in complex control systems. Our approach centers around a learning-based controller using Spiking Neural Networks (SNN) on physical plants. By integrating a biologically plausible learning method with local plasticity rules, we harness the energy efficiency, scalability of the newtwork, and low latency of SNNs. This design replicates control signals from a cloud-based controller directly on the plant, reducing the need for constant plant-cloud communication. The plant updates weights only when errors surpass predefined thresholds, ensuring efficiency and robustness in various conditions. Applied to linear workbench systems and satellite rendezvous scenarios, including obstacle avoidance, our architecture dramatically lowers normalized tracking error by 96% with increased network size. The event-driven nature of SNNs minimizes energy consumption, utilizing only about 11.1 × 104 pJ (0.3% of conventional computing requirements). The results demonstrate the system’s adjustment to changing work environments and its efficient use of energy resources, with a moderate increase in energy consumption of 37% for dynamic obstacles, compared to non-obstacle scenarios.

The Next 2 Billion: Can the World Support 10 Billion People?

AbstractThe UN projects that world population will peak at 10.3 billion in 2084, a 2.1 billion increase from 2024. Can the world provide food, water, and other resources to 10.3 billion people? How will additional population exacerbate resource challenges and worsen climate change? This paper analyzes these questions by looking at the last 60 years and by simulating the future impact of population growth and rising incomes on food, water, energy, and CO2 emissions. Looking back, food production has increased faster than the population in all regions, and we have not experienced significant shortages in nonrenewable resources. The history of water and CO2 emissions is less encouraging, however, with declining water levels in many aquifers and global warming threatening to undermine progress in all areas. Looking forward, population growth will be concentrated in poor countries, while rich countries, with higher consumption levels and emissions, will experience population decline. Population growth is projected to significantly increase demand for food and water in coming decades but is projected to have only modest impacts on energy and CO2, with population decline in high‐emission higher income countries more than offsetting the impact of population growth in low‐emission lower‐income countries.

Recent innovations in land capability classification for sustainable development: a brief overview.

Land is a finite resource that must be managed wisely to ensure its sustainability. Consequently, land evaluation has become essential. Identifying and utilizing productive capacity of land efficiently and profitably is crucial; otherwise, resource degradation can severely impact natural ecosystems and food production. Over the years, various methodologies have been employed to assess land resources, and one such method is the Land Capability Classification (LCC). LCC is a widely used and fundamental approach to land-use planning, traditionally assessing land based on its intrinsic qualities and climate. This study aims to highlight new approaches and developments in land evaluation techniques. It provides a brief overview of recent technological and scientific advancements integrated into land evaluation. The findings suggest that LCC alone is inadequate for precise land assessment, emphasizing the need to integrate new technologies. Remote Sensing (RS) and Geographic Information System (GIS) technologies are becoming increasingly significant. Integrating various software, decision-making systems, and mathematical models can also enhance the accuracy of land assessment results. The continuous advancement of GIS and remote sensing technologies is paving the way for new tools to facilitate natural resource mapping, appraisal, surveillance, and management. Utilizing these technologies for future projections will be highly beneficial in accurately assessing the long-term impacts of current land management practices.

Impact of Eco-Friendly Practices on Resort Profitability in the Maldives

Purpose: The aim of the study was to analyze the impact of eco-friendly practices on resort profitability in the Maldives. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Studies on the impact of eco-friendly practices on resort profitability in the Maldives show that sustainable practices, such as renewable energy use, water conservation, and waste reduction, positively affect profitability. Resorts adopting green initiatives benefit from lower operational costs, such as reduced energy and water consumption, while also attracting environmentally conscious tourists willing to pay premium prices. These practices also enhance brand reputation and long-term resilience, reducing dependency on finite resources. However, the initial investment in eco-friendly infrastructure can be high, and profitability gains are more evident in the long term. Unique Contribution to Theory, Practice and Policy: Sustainable tourism theory, corporate social responsibility (CSR) theory, resource-based View (RBV) theory may be used to anchor future studies on the role of technological advancements on customer satisfaction in Japan’s hospitality. Practically, resorts in the Maldives can use this research to improve their profitability while simultaneously enhancing their environmental sustainability. At a policy level, this research can provide empirical evidence for policymakers in the Maldives to promote and regulate eco-friendly practices in the tourism sector.

Low-carbon transformation and ecological safeguarding in the Yellow River Basin: Integrating biomechanical and biological insights

This research, titled “Low-carbon transformation and ecological safeguarding in the Yellow River Basin: Integrating biomechanical and biological insights” explores the interplay between economic activities, land use changes, and environmental impact. Through regression analyses and assessments of land use alterations, the study identifies significant provincial variations in factors influencing carbon emissions. In addition to the socio-economic factors, the research incorporates insights from biomechanics and biology, drawing parallels between the ecological systems of the Yellow River Basin and biological processes such as energy efficiency and resource allocation in living organisms. For instance, just as organisms optimize energy usage and adapt to external stressors, the proposed low-carbon strategies aim to optimize resource use and improve the resilience of the basin’s ecosystem. Proposed strategies for low-carbon transformation provide a practical roadmap for sustainable development, informed by biological principles like ecological balance, regeneration, and the importance of maintaining biodiversity. These principles reflect how biomechanical systems, such as musculoskeletal structures, balance energy expenditure and repair to maintain functionality under strain, similar to how ecosystems must manage resource cycles to withstand environmental stressors. The integration of socio-economic indicators, alongside biological and biomechanical insights, underscores the need for region-specific policies that consider not only economic factors but also the natural regenerative capacities of the ecosystem. The study suggests that, like biological systems that repair and adapt to maintain homeostasis, the Yellow River Basin’s ecological processes can be guided by sustainable management practices to ensure long-term resilience and stability. In conclusion, the research contributes valuable insights to the global discourse on balancing economic growth with ecological preservation in the ecologically vital Yellow River Basin, highlighting how the integration of biomechanical and biological principles can enhance both ecological safeguarding and low-carbon transformation strategies.

Systematic Review of Dimensions and Indicators in Sustainable and Smart Cities: Trends, Interdependencies, and Continental Variations

Accelerated urbanization challenges cities globally. Ensuring good quality of life and environmental protection requires innovative, data-driven solutions. Sustainable and smart cities (SSCs) offer a promising response, but effective implementation depends on selecting and using appropriate dimensions and indicators. The main objective of this article is to present a systematic review within the framework of SSCs to study trends in the use of dimensions and indicators. A citation frequency index (Q) considering quartiles is used to determine the importance of the variables considered in this study. A spatiotemporal analysis of the dimensions and indicators detected is also performed. The results suggest that the multifaceted nature of SSCs necessitates a holistic approach, with environmental (Q3 = 0.536) and social (Q2 = 0.403) dimensions being principal. Despite the lower ranking (Q1 = 0.080) of the information and communication technology (ICT) dimension, its pervasive influence highlights its evolving importance. Effective ICT implementation relies on robust social and environmental foundations, illustrating their interdependence. The governance (Q1 = 0.169) dimension is also essential for the creation of transparent and equitable urban policies. Key indicators related to energy systems (Q2 = 0.379), data analysis (Q2 = 0.327), and resource management (Q2 = 0.291) are crucial for operational efficiency and sustainability. Continental differences in prioritizing SSC dimensions highlight the importance of context-specific strategies, reflecting unique challenges and opportunities faced by different continental areas. By understanding and addressing these continental differences, policymakers and urban planners can more effectively promote sustainable and resilient urban development worldwide.