Articles tagged with Turbines
NPSS 3.3 offers new interfaces, features and data types to enhance model and component development times, supporting turbomachinery, air-breathing propulsion systems and hybrid electric systems. The software now includes FFI integration with external functions and built-in support for .CSV file format exports.
Researchers create novel contactless electricity generation technique leveraging electrostatic charges and viscous force of compressed air. The device generates high ESD-based outputs, powering electronic devices and regulating humidity.
Researchers developed a reduced order model that accelerates calculations by identifying key features in flow data, enabling faster testing of geometry parameters for efficiency gains. The team plans to make their extensive database and model available online for other research groups.
A new control strategy for hybrid magnetic bearing systems is proposed, employing an improved cascaded reduced-order linear active disturbance rejection controller. The strategy significantly enhances rotor suspension stability by employing feedforward compensation, reducing displacement fluctuations and improving system robustness. Ex...
A new study found that wind power projects in Oregon and Washington alter the structure of nesting raptor communities. Golden Eagles and Ferruginous Hawks declined in abundance, while Great-horned Owls increased. The research emphasizes the need to consider community composition in raptor conservation.
The Birmingham Blade is the world's first geographically tailored urban wind turbine designed by AI, addressing the challenge of harnessing clean wind energy in low-wind areas. Developed by EvoPhase and Kwik Fab, it boasts an optimal design for curved blades that spin around a central point, significantly enhancing efficiency.
Researchers have developed sensors that can detect changes in water flow, warning operators of hazardous conditions in the deep ocean. The technology has potential to save lives by giving technicians time to reach safety.
A University of Virginia-led research team has developed new protective coatings that allow turbine engines to run at higher temperatures before components begin to fail. The coatings were created using rare earth oxides and have shown improved performance without complex multi-layer coatings.
Researchers emphasize the need for updating offshore turbine designs to reflect the complexity of storms. Advanced modeling techniques and data-driven models are being developed to address this issue.
Researchers used aerial drone technology and boat-based surveys to map complex tidal flows around the world's most powerful tidal turbine, O2. The study provides new insights into optimal turbine placement and site-specific assessments to address uncertainties surrounding interactions with marine habitats and environments.
Engineers at MIT have developed a physics-based model that accurately represents airflow around rotors under extreme conditions. This new theory has the potential to improve rotor blade designs and optimize wind farm layouts for maximum power output and safety.
Researchers from Johns Hopkins and Portland State University develop a new computational method to enhance Large Eddy Simulations, improving accuracy for designing and optimizing floating offshore windfarms. The project combines modeling advancements with scaled experimental results to better predict wind-wave-turbine interactions.
A team of Lehigh University researchers led by Professor Muhannad Suleiman is working to develop floating offshore wind platforms that can harness both wind and wave energy. The goal is to create more efficient and resilient structures that can withstand extreme weather conditions.
Researchers developed nontoxic, biodegradable, and high-performing lubricant additives for water power turbines using ionic liquids. The ILs demonstrated significant reductions in friction and equipment wear compared to commercial gear oils.
Researchers at EPFL have developed a genetic learning algorithm to identify optimal pitch profiles for VAWT blades, increasing turbine efficiency by 200% and reducing vibrations by 77%. This innovation addresses the engineering problem of air flow control and has the potential to bring efficient VAWT technology to maturity.
A recent PNAS study finds that wind turbine visibility reduces home values by up to 8%, but this effect decreases with distance and age of turbines. The study's findings provide valuable insights for sustainable energy development and community-friendly projects.
A new study has unlocked the secrets of pore evolution in directed energy deposition (DED) additive manufacturing, revealing five distinct processes that contribute to their behavior. The findings provide a detailed understanding of how pores form, move, and interact within the melt pool during DED, enabling targeted strategies to mini...
The University of Texas at Dallas' Wind Energy Center is expanding its operations with a new physical headquarters, labs, meeting areas, and office space. The facility will feature cutting-edge equipment, including a wind-wave tunnel and Intelligent Energy Systems Lab.
Researchers at UBC Okanagan have developed a new modeling framework called TOSCA, which helps improve wind energy forecasts and productivity. The framework can capture the interaction between large wind farms and the oncoming wind, leading to more accurate estimates of power output.
A self-powered movable seawall system harnesses microtidal energy to generate electricity, protecting ports against tsunamis and providing emergency power. The system is feasible in 20 Japanese ports along the western coast, facing the Nankai Trough, which is prone to megathrust earthquakes and tsunamis.
Researchers have developed a working nanoscale electromotor powered by hydrodynamic flow through a nanopore. This innovation uses DNA origami to create a turbine with precise control over rotational speed and direction. The tiny motor has potential applications in molecular factories, medical probes, and soft propulsion systems.
A recent study by Leibniz-IZW and Philipps-Universität Marburg found that forest bats reduce their activity by 77% within a radius of 80-450 meters around operational wind turbines. The researchers suggest noise emission from turbine rotors is the primary cause of this avoidance behavior.
Researchers from the University of Bergen found that offshore wind farms can reduce downstream wind resources by up to 20% within 50km due to wake effects. This poses significant regulatory challenges for large-scale offshore wind development, particularly in international waters.
UBC Okanagan researchers have developed sensors that can detect erosion and breaches in protective coatings, reducing inspection time and error risk. The AI-enabled sensors can also distinguish individual layer erosion within multi-layer coatings, enabling proactive monitoring and addressing of equipment degradation.
Researchers from the University of Oldenburg developed a new stochastic method to mitigate sudden swings in wind turbine power output. The study found that control systems are mainly responsible for short-term fluctuations and can be optimized to ensure more consistent energy output.
A University of Central Florida engineer is leading a $3.3 million ARPA-E funded project to develop simulation software for floating offshore wind turbines. The goal is to improve turbine design and increase their use as a renewable energy source. The software will be licensed or commercialized and can be hosted on a university web page.
Research by Politecnico di Milano finds offshore wind farms significantly reduce climate change impacts, with a 92% reduction in greenhouse gas emissions compared to fossil fuels. The study also highlights the importance of life cycle analysis for assessing environmental sustainability of renewable energy technologies.
Bird and bat deaths at US wind turbines surge during seasonal migrations, with most species affected in the prairies and plains. The study's findings suggest adjusting curtailment requirements to protect sensitive bird and bat species.
A novel deep learning-based forecasting model predicts uncertain parameters related to renewable energy sources, their energy demand, and market prices. The model demonstrates improved prediction accuracy and efficiency compared to existing methods.
A study found that wind turbines in forests cause common noctules, a threatened bat species, to collide with blades and lose foraging space. The researchers recommend building turbines at least 500 meters away from roosts and compensating for lost habitats elsewhere.
A new study uses drone-mounted technology to deter bats from flying into wind turbines, reducing fatalities by 40% and allowing turbines to operate efficiently. The device transmits ultrasonic signals and lights to warn bats of danger, leading them to fly over the turbine and out of harm's way.
A new research project at Aarhus University aims to develop intelligent drones that can detect ice on turbine blades, optimizing energy production and expanding market opportunities. The project has the potential to reduce energy losses by up to 80% and enable wind farms to operate in colder climates.
Researchers at TU Wien found that ceramic coatings do not fatigue under extreme load conditions, but instead break down due to fracture toughness. The discovery changes the approach to measuring and improving thin film durability.
The UBC Okanagan team has created a novel, passive-de-icing coating that integrates an ice-detecting microwave sensor. This technology enables automatic melting of ice without external energy input, reducing wear-and-tear and energy waste.
Researchers have developed a new composite resin suitable for wind turbine blades that can be recycled into new blades or other products. The material has the same physical properties as its predecessor, making it ideal for reuse.
Engineers developed an algorithm to optimize individual turbine angles, reducing wake impact and increasing overall farm efficiency. This could lead to a significant improvement in existing wind farms' energy output and enable more turbines to be installed in tighter spaces.
Researchers at MIT develop a new flow model that optimizes individual turbine control to maximize wind farm energy production. The algorithm increases energy output by up to 32% in real-world experiments, with potential gains of over $1 billion per year.
Researchers from TU Delft constructed the smallest flow-driven motors in the world using DNA, converting energy into mechanical work. The achievement opens new perspectives for engineering active robotics at the nanoscale.
A new breath-driven hand prosthesis offers a lightweight, low-maintenance option for children and those in low-resource settings. The device is powered by the user's breathing and provides simultaneous control and actuation, with minimal maintenance required.
A study estimates that old wind turbines can be deadly for protected bat species, with some turbines claiming up to 70 bat victims per year. The researchers recommend adjusting the operation of old turbines to current regulations, or even dismantling them if they are located in unfavorable sites.
Wind-dominant electric grids face challenges in recovering from blackouts. Researchers at Iowa State University have developed grid-forming controllers and stall-prevention systems to enable certain wind turbines to blackstart a power grid. This critical step enhances the resilience of wind farms to blackouts.
Concentrated solar power (CSP) plants use wet cooling methods to dissipate waste heat, but this can lead to significant water loss. A new study developed a radiative cooling system with cold storage that reduces water consumption by up to 85% in hot regions.
Researchers found that improved wind forecasts resulted in at least $384 million in energy savings for US consumers over the last decade. The study used NOAA's HRRR model to compare forecast accuracy and quantify cost savings.
Researchers used weather radar data to identify areas where large numbers of migrating birds fly through the rotor-swept zone and stopover in high densities. This information can guide the placement of new wind energy development and turbine operation to minimize collisions and habitat loss.
Researchers at MIT and NREL have designed a thermophotovoltaic cell that converts heat to electricity with over 40% efficiency, surpassing traditional steam turbines. The new design could enable a fully decarbonized power grid by storing excess energy from renewable sources.
A University of Delaware study reveals a lack of marshaling ports is hindering the US offshore wind industry's growth, threatening to meet renewable energy targets. The study finds that existing and planned ports will be insufficient by 2023 to meet state and federal commitments, with a significant shortfall expected through 2050.
Scientists from China have developed a bionic approach to improve wind turbine performance by combining features of a seagull's wing with an engineered flow control accessory. The combined flow control improves lift and delays stalling at high angles of attack, increasing the efficiency of wind energy turbines.
A new study from Cornell University provides detailed models characterizing the frequency, intensity, and height of low-level jet streams over the U.S. Atlantic coastal zone. The research finds that low-level jets can occur up to 12% of the time in the late spring and early summer, potentially impacting wind turbine performance.
Researchers from West Virginia University are developing a new composite transition joint using 3D printing to reduce stress on power plant systems. The goal is to increase the flexibility and reliability of thermal power plants.
Researchers used owl wing characteristics to inform airfoil designs and significantly reduce trailing-edge noise in aeronautical and turbine engines. The study found that asymmetric serrations reduced noise more than their symmetric counterparts.
Scientists at Cornell University have developed a method to optimize turbine spacing in offshore wind farms, reducing wake effects and increasing power production. The research aims to support the rapid expansion of offshore wind energy in the US and Europe, with potential to generate over 7,000 terawatt hours per year.
Researchers at RMIT University have developed a wave energy converter that doubles the power harvested from ocean waves, overcoming technical challenges and unlocking vast untapped potential. The dual-turbine design is cost-effective and requires no special syncing technology.
A study published in Ibis found that Golden Eagles avoid wind turbines due to habitat loss, affecting their suitability inside and outside of wind farms. The largest impact of wind farms was the loss of Golden Eagle habitat, which could be mitigated by incorporating the findings into wind farm planning.
Researchers identified a method to automate identification of turbines experiencing wake effects in changing wind conditions. This allows wind farms to increase power gain by 1%-3% through standard yaw control procedure guidance.
Researchers from the University of Illinois at Urbana-Champaign designed controllers to optimize wind turbine performance by considering downstream effects, resulting in noticeable gains. The study demonstrates that incorporating networked wind farms and time-dependent wind estimation models can improve power extraction.
Researchers discovered that wind turbines in close proximity to each other reduce overall energy output. They suggest smaller, spaced-out farms may be more efficient, but further research is needed. The study's findings have implications for global energy supply and the transition away from fossil fuels.
Daejong Kim is developing foil bearings for small engines used in aerospace applications, reducing maintenance costs and increasing efficiency. Hybrid foil bearings increase load capacity dramatically compared to traditional foil bearings.
Researchers at Texas A&M University have developed a method to compare the performance of different wind turbine designs, using machine learning and social science analysis. The study found that this technique can provide a robust and accurate way to determine the merit of competing technologies.
Dr Martin White's research proposes a two-phase expansion system that can generate up to 28% more power than conventional single-phase systems. The study aims to enhance the performance of Organic Rankine Cycle (ORC) systems for waste heat recovery, reducing environmental footprint in industries such as iron and steel, food, and drink.
Researchers found a predicted average annual production gain of 0.8% for large sampling of commercial US wind plants using wake steering. This technique increases power output by nearly 70% while maintaining energy generation costs.