Articles tagged with Energy Infrastructure
The University of Texas at Arlington (UTA) has earned the prestigious R1 designation, recognizing its highest level of research activity. UTA has maintained this classification since 2015 and continues to demonstrate its commitment to innovation and academic excellence.
The Expand Appalachia project aims to accelerate the identification and characterization of unconventional critical mineral resources throughout the region. The team will assess regional infrastructure, identify industries that could benefit from production, and develop strategies to boost economic growth and attract investment.
Researchers developed a framework that combines competition and cooperation to help operators in multiregional networks strategically determine when and how they should work together. By investing in shared infrastructure projects, independent operators can earn more revenue and improve regional train service, benefiting users.
A new analysis of social media posts reveals that public support for solar energy remains high, but has become increasingly polarized. The study found that attitudes toward solar energy are largely being driven by politics, with significant differences in support across regions and states.
Researchers at Mizzou have developed a proactive approach using artificial intelligence to address evolving threats against smart grids. The CIBR-Fort system can predict cyberattacks with 91.88% accuracy and defend against them in real-time, enabling scalable security for power grids of the future.
A recent study led by Qian found that income, rather than proximity, is the dominant factor in determining who benefits most from public EV infrastructure. Wealthier individuals have more flexibility to spend time at charging stations while charging their vehicles, whereas lower-income communities struggle to integrate public charging ...
The University of Vaasa's FlexiPower project aims to develop and commercialize a 'Building as a Battery' (BaaB) solution that enables dynamic response of building heating and cooling systems to power grid needs. This innovation offers cost-effective and scalable solutions for balancing the power grid.
Researchers propose a new local electricity market to harness the power of homeowners' grid-edge devices in case of outages or attacks. Devices like solar panels and electric vehicles can pump power into the grid or rebalance consumption.
The study reveals the existence of valley vortex states within water wave crystals, introducing a new degree of freedom for water wave manipulation. These states have significant implications for ocean energy extraction, marine engineering, and coastal infrastructures.
UTA research projects contributed $59 million to the national economy in 2024, supporting student development and collaboration with other research organizations. The university's research infrastructure, including cutting-edge equipment, helped drive economic impact in North Texas and beyond.
Researchers use AI to predict moisture damage in asphalt pavements, enabling optimized material selection and reduced maintenance costs. The study's findings have significant implications for the nation's roads and bridges, which require over $1 trillion in repairs and maintenance.
A team from Tokyo University of Science developed a novel trivalent platform for triple click chemistry, allowing for the efficient synthesis of complex compounds. The approach utilizes simple initial materials and promotes sustainable pharmaceutical synthesis.
A new study from the University of Cambridge suggests that hitting Europe's 2030 renewable energy targets could reduce electricity price volatility by an average of 20% across 29 European countries. This would lead to significant reductions in price spikes, with the UK and Ireland expected to benefit the most.
A research team developed an autonomous geological assessment tool that uses machine learning to measure dip angles and directions in rock facets with high accuracy, achieving rates of up to 99.4%. The R-C-D-F method eliminates joint bands while preserving joint embedment points, making it ideal for modern infrastructure projects.
A new optimization model improves microgrid operation by reducing computational burden and introducing replanning, ensuring stable power supply under uncertain conditions. This approach boosts energy efficiency, minimizes waste, and supports the transition to sustainable energy.
Establishing a permanent lunar presence will depend on the use of AI, robotics, and 3D printing to adaptively respond to challenges. The moon's natural resources, such as regolith, can also reduce the need for Earth-launched supplies.
A study published in Science of the Total Environment found that stormwater detention basins in Northern Virginia face significant salt stress due to road salts. Native plant species, such as cattails, showed promise in tolerating high salt concentrations, but their impact on overall salt removal was limited.
The Laboratory for Laser Energetics at the University of Rochester has launched an IFE-STAR ecosystem to develop a clean, safe, and virtually limitless energy source. The initiative aims to accelerate fusion science and technology by building a national network of coordination and collaboration.
The study identifies 14 key impacts of wind energy on various systems, including environmental, socio-economic, and political-legal aspects. Researchers found that public acceptance is a major challenge for wind turbines, but also discovered benefits such as the phasing out of fossil-based energy and job creation opportunities.
NCSA is leading the way in AI research support, partnering with the National Artificial Intelligence Research Resource Pilot and the NSF-Simons SkAI Institute. The organization is also working on healthcare projects like MarginDX, combining optical imaging technologies with AI screening tools to ensure accurate tumor removal during sur...
The integration of ground source heat pump (GSHP) systems with energy piles offers a promising solution to address the growing urban heat island effect and reduce electricity consumption in smart cities. This technology provides efficient heating and cooling, reduces carbon emissions, and promotes sustainable urban development.
Southwest Research Institute has launched a joint industry project to develop technologies for hydrogen-powered heavy-duty refueling operations. The four-year program aims to strengthen existing refueling station equipment and procedures, exploring alternatives to address supply chain issues and technical challenges.
The university's refurbishment project uses waste heat to provide heating to the Joseph Priestly Building and district heating system, reducing fossil fuel consumption and carbon emissions. The initiative is expected to yield substantial energy cost savings and enhance the data center's capacity for high-performance computing.
A study by University of Copenhagen researchers highlights the challenges in investing in green hydrogen projects, citing market risks, regulatory uncertainty, and high costs. Oil and gas companies are better positioned to finance large-scale hydrogen projects due to their expertise and infrastructure.
A new deep learning model enhances railroad condition monitoring by combining Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks, achieving 97% accuracy in detecting train positions and conditions. The model's real-time processing capabilities enable swift intervention and mitigation of potential hazards.
A $13 million initiative led by PNNL has created an AI-ready searchable database of 28,212 documents, reducing the time to conduct environmental reviews from 2-4 years to minutes. The PolicyAI toolkit is currently beta testing with federal NEPA reviewers, aiming to deliver time and cost savings.
Liu's InertiaMeter tool enables real-time estimation of power grid inertia, allowing operators to prevent outages with increasing renewable energy reliance. The technology utilizes signals from pumped storage hydropower projects and low-cost grid sensors for accurate monitoring.
A novel data-fusion-model method accurately estimates the state of health (SOH) of Li-ion battery packs based on partial charging curve. The proposed method capitalizes on charging data to track degradation trends, achieving accurate SOH estimation with maximum errors less than 1.5%.
A new method for efficiently utilizing energy users' flexibility in distribution and transmission networks has been introduced. Consumers can provide flexibility services, benefiting both the system operators and themselves financially. The dissertation highlights the need for improvements and investments to deploy these methods globally.
NCSA launches Harbor, a fast storage service for global home and software directories, boosting Delta system performance by 400%. Consolidating file systems to VAST namespace improved uptime, load times, and user experience. With Harbor and VAST Data Platform, NCSA achieves scalable and efficient AI infrastructure.
A new study warns that climate change's impact on water resources will significantly increase the cost of achieving zero-emission grids by 2050. The required investments in generation and transmission infrastructure are expected to be massive, with up to 139 gigawatts of power capacity needed in the Western United States.
A study by Cornell University researchers recommends that the costs of new power lines be borne by those who benefit from them, resolving disagreements over cost allocation. The 'beneficiary pays' approach encourages investment in the grid without disputes over cost-sharing.
Researchers at the University of Surrey have developed a strategy to improve both the performance and stability of perovskite-based solar cells. By introducing an iodine-reducing agent, they increased the efficiency and extended the lifespan of the devices.
Households who purchase private substitutes still pay for the electric grid, benefiting some lower-income households with bill savings over lost reliability. Private substitute ownership has increased over time, changing public grid reliability.
Research shows that power systems with higher weather-dependent renewable energy sources (WD-RESs) tend to have reduced blackout intensities in the US. High WD-RES penetration does not worsen the weather vulnerability of power systems, even during extreme weather events.
Researchers explored using electric bus depots to generate solar energy and stabilize the grid. The study found that these depots could net out to be energy producers, further stabilizing the grid.
A Cornell University research team found that strategically placing a mix of medium-speed and fast-charging stations in urban areas increases driver usage and improves investor profitability by 50-100%. The team used Bayesian optimization to analyze data from Atlanta, taking into account factors like traffic and road characteristics.
A new study from Virginia Tech shows large language models can assess human-made environments using street-view images, similar to traditional methods. LLM-based performance offers a more accessible tool for users in small to medium-sized cities, making it easier to manage smart urban infrastructure.
The Department of Energy awarded nearly $1 million to researchers at the University of Arkansas to develop a prototype for high-voltage power modules that can handle higher voltages and temperatures. The goal is to create smaller, more efficient, and more reliable fast-charging stations for electric vehicles.
Researchers at Northwestern University have developed a new surface that prevents 100% of frost formation on flat areas for up to 160 hours. The hybrid surface combines a textured macrotexture with a thin layer of graphene oxide, offering a promising solution for various applications.
The University of Kansas and Avium will develop new catalysts and technologies to improve the efficiency and reliability of green hydrogen production. The goal is to make clean hydrogen more affordable and support the transition to a clean-energy future.
The Atlantic Marine Energy Center (AMEC) will develop new research projects, infrastructure, and educational programs using the funding. Lehigh University will lead two research projects focused on tidal turbine blades and real-time stable marine energy microgrid power management.
Researchers analyzed a thermophotovoltaic system paired with phase-change materials for energy storage and found slight reductions in costs. The study identified key factors affecting TPV system costs, highlighting the need for future research to improve adoption and efficiency.
Researchers developed an AI model that addresses uncertainties in renewable energy generation and electric vehicle demand, making power grids more reliable. The model uses multi-fidelity graph neural networks to optimize solutions within seconds, improving grid performance even under unpredictable conditions.
A novel data-driven joint model enhances infrastructure planning and smart charging of shared electric vehicles by optimizing charging strategies and predicting user behavior. The model aims to reduce charging costs and improve grid integration, with potential savings of up to 34.97%.
A new method uses principal components-based feature generation and optimized Artificial Neural Networks (ANN) to estimate the State of Charge (SoC) in LiFePO4 batteries. This approach improves the accuracy and robustness of existing SoC estimation methods, enabling real-time implementation.
Researchers at Rensselaer Polytechnic Institute developed a polymer film infused with a special chalcogenide perovskite compound that produces electricity when squeezed or stressed. The material has shown promising results, including powering LED lights and potentially being used in machines, infrastructure, and biomedical applications.
Building a renewable energy system for the AtLAST telescope in Chile's Atacama Desert could cover 66% of nearby San Pedro de Atacama's electricity demand. The system would reduce local reliance on fossil fuels and provide affordable renewable energy, contributing to a more sustainable future.
The University of Houston-led project aims to provide training and resources for jobs in the new hydrogen economy, prioritizing underserved communities. The team will create a publicly available online toolkit to facilitate community engagement and equitable access to emerging jobs.
A group of scientists and economists warn that green subsidies can have negative spillover effects and diminish overall effectiveness if not implemented cautiously. They suggest imposing time limits on subsidies to ensure they do not perpetuate harmful practices over the long term.
Researchers at KAUST have developed a new cooling system that extracts water from the air using gravity, eliminating the need for electricity. The system can double the rate of water collection compared to alternative technologies and offers significant energy savings.
Researchers developed a framework to measure how water systems can adjust their energy use to balance power grid supply and demand. They found that water systems could shift up to 30% of their energy use during peak demand times, leading to significant cost savings.
A new study has identified key factors to build food resilience in Sub-Saharan Africa, including diversifying suppliers, empowering local farmers, and promoting sustainable practices. The proposed blueprint aims to enhance self-sufficiency and reduce reliance on external sources.
Researchers have identified Ukraine's renewable potential as exceeding the generation capacity destroyed during the war. The study recommends developing a distributed power supply system and investing in solar and wind energy, particularly in the south and east of the country.
The RECHARGE project aims to evaluate EV charging station resiliency in extreme weather events and develop technologies to provide reinforcement. The researchers will analyze real outage data from multiple locations to assign resilience scores to each charging station, helping determine which ones need reinforcement.
A new study suggests that urban heating and cooling systems will significantly impact future energy demand due to climate change, with smaller-scale city-level waste heat contributing to local microclimates. The research emphasizes the need for comprehensive climate impact assessment and science-based policymaking to address this issue.
A new study by University of Maryland researchers found that village size plays a crucial role in determining the economic impact of electrification. Villages with populations over 2,000 people experience significant benefits, including doubled household expenditure and growth in microenterprises. In contrast, smaller villages see litt...
A study by Singapore-MIT Alliance for Research and Technology found that installing EVCS boosted spending at nearby establishments by 1.4% in 2019, leading to an overall increase of USD 6.7 million. Strategically placed EVCS also stimulated consumer spending in underprivileged areas, creating potential catalysts for economic growth.
The article examines three scenarios for Norway's hydrogen export market development, including techno-economic viability and spatial considerations. The results suggest that Norway may be cost-competitive in blue hydrogen exports but faces sustainability limitations due to natural gas reliance.
Researchers at New Jersey Institute of Technology are working on a new fault detection technology that can handle the unique challenges of solar and wind-powered grids. The project aims to create a perturbation-based signal for the circuit to recognize, enabling more accurate detection of faults in these systems.