Research based on China's Chang'e-6 samples reveals that Earth's magnetosphere has shaped the difference in solar wind speeds and energies striking the Moon's two hemispheres. The study found that the lunar far side underwent stronger isotopic fractionation, resulting in preferential enrichment of the heavier isotope.
A new study assesses China's ability to reach its energy-related carbon emission peak and related climate targets by 2030, accounting for uncertainties in total energy consumption and non-fossil energy development. The analysis finds that stronger policy support for wind and solar raises the probability of peaking emissions on time, wh...
Researchers discovered that the solar wind slows down by 13-15% as it approaches the outer boundary of the heliosphere, aligning with previous models. This slowdown is crucial for understanding the impact of interstellar material on long-term space travel.
Scientists created a shape-changing flying robot named Floaty that can fly efficiently while staying stable in the air. By adjusting its flaps to control air resistance, Floaty balances itself and recovers from disturbances.
Scientists predict that New Horizons will encounter the termination shock as early as 2029 or as late as 2040, helping improve understanding of heliosphere interactions with interstellar space. The research aims to prepare for future missions exploring solar system boundaries.
Researchers recreated solar wind in lab to study space weathering's impact on the moon's surface. They found that nanophase iron formation suggests solar wind plays a major role in shaping the lunar surface.
A study by Royal Netherlands Institute for Sea Research found that Lesser Black-backed Gulls rarely visit wind farms off the Zeeland coast, except for some male birds. Despite being attracted to fishing boats outside the wind farm, the gulls' behavior suggests they avoid entering the wind farm due to unknown reasons.
A machine learning model, trained on 19 key parameters, can predict wind shear events with a minimum of 15 seconds warning. The model's outputs showed deviations from real outcomes within 5% across all forecast horizons, suggesting improved aviation safety.
Researchers have discovered the fastest wind near a supermassive black hole at ultraviolet wavelengths, driven by the quasar's surrounding matter disc. The wind's velocity is up to 30% the speed of light, making it unlike any hurricane on Earth.
By 2050, the North Sea is projected to have around 58,500 square kilometers of offshore wind farms, with the Netherlands occupying 19% of its waters. The UK, Germany, and Denmark are expected to dominate in scale, with the Netherlands being the most intensively used national zone.
Astrophysicists at Northwestern University have discovered evidence of a powerful wind blowing from the Milky Way's central supermassive black hole, Sagittarius A*. The study resolves one of the longest-standing mysteries in astronomy and opens a new window into the physics at play in the center of the Milky Way. The team used five yea...
Researchers developed a physics-based framework to predict power fluctuations from renewables, enabling grid operators to mitigate surges and blackouts. The model correlates atmospheric turbulence with electricity output, allowing for accurate risk assessments of existing turbines and farms.
A recent study published in PNAS has found no meaningful health impacts from exposure to wind turbines. The researchers analyzed data from over 120,000 households and found no correlations between turbine installation and health problems such as headaches, depression, or sleep disturbances.
Researchers have developed a new approach to reducing bird collisions with wind turbines by using warning signals found in nature, such as yellow, red, and black colors. The study found that these colors combined with rotating motion were more frightening to birds than existing patterns used on wind turbines.
A new study published in Communications Sustainability reveals that investing in renewable energy yields more combined climate and public health benefits than direct air capture. The analysis models the health and climate benefit of cost-equivalent deployments of DAC, solar, and onshore wind across US grid regions from 2020 to 2050.
Researchers at ETH Zurich created a machine-learning-based map showing Europe's most beautiful and scenic regions. The study found that excluding these areas would reduce wind energy potential but increase costs per unit of electricity generated.
A new physics-based simulation framework predicts the likelihood of failure for different transmission tower designs across entire networks with 96% accuracy. The model accounts for various factors, including wind speed and direction, and rainfall intensity, to help power companies identify vulnerable towers and reduce power outage risks.
A recent study has developed an analytical model of downburst wind fields, which reproduces key observable features while adhering to fundamental mechanical principles. The model proposes a framework for assessing train overturning due to downbursts, with high train speeds identified as the most significant contributor to increased risk.
The LHAASO discovery reveals an astonishingly efficient particle accelerator powered by PSR J1849-0001, exceeding theoretical limits and challenging current theories of particle acceleration. The system's gamma-ray luminosity is several times higher than that of the Crab Nebula.
Researchers develop new concept to accurately model wind turbine loads, focusing on local gusts' impact on material fatigue. This enhances turbine design and efficiency by reducing uncertainties in load estimations.
A new computational model developed by researchers at Chalmers University of Technology shows that onshore wind is likely to supply around 25% of global electricity by 2050 and solar reaching about 20%, aligning with the 2°C target. However, this falls short of what is required for a 1.5°C goal.
Researchers developed a nonlinear galloping-driven triboelectric-electromagnetic hybrid generator to harvest low-speed wind energy. The system can work over a wide wind-speed range and produce enough power to support practical electronics.
A study suggests that integrating wind and solar power into Ecuador's energy mix can prevent energy crises caused by droughts. The researchers found that large-scale wind and solar farms could increase the availability of hydropower, reducing the need for fossil fuels during dry periods.
Researchers developed a model to calculate snow accumulation on roofs, considering snowflake size and distribution. Larger snow particles lead to greater accumulation, while higher wind speeds reduce depth. The study provides insights for building codes and guidelines for snow loading.
Researchers from the University of Surrey found that combining wind turbines with wave, solar, and tidal devices on shared platforms generates more reliable power and reduces construction costs. The study identified hybrid offshore renewable energy harvest systems as crucial for meeting ambitious climate targets.
A new study reveals that offshore wind farms can create complex wake structures that interact with each other, affecting surface currents and sediment transport. The research suggests that turbines spaced farther apart can reduce turbulence caused by tidal wakes, leading to optimized wind farm designs.
A study analyzing 23 years of meteorological data confirms that wind patterns are a key factor in extending the grass pollen season. The research found that winds tend to be mild before peak concentration and transport/dispersion at the end, influencing pollen accumulation and transport.
The substance-energy network is a strategic concept for China's energy system transformation, integrating power grids and pipeline networks for flexible and resilient energy systems. It provides solutions for large-scale renewable energy consumption and high-reliability energy security.
A recent Stanford University study reveals that EGS can significantly reduce the amount of wind, solar, and battery infrastructure needed for a clean, renewable energy transition. Adding EGS to the renewable energy mix produces substantial infrastructure savings, including reduced land requirements and infrastructure needs.
Researchers developed a portfolio optimization framework to maximize offshore energy production by identifying optimal locations for wind turbines and marine hydrokinetic technologies. The study found that combining these technologies in suitable locations can significantly reduce costs and increase energy stability.
The article introduces the concept of an Energy and Environment Nexus as a web linking energy services, human well-being and environmental health. It proposes four imperatives of energy: power intensity, energy density, cost and scale to determine practical and sustainable energy systems.
Global renewable energy growth accelerates, covering all new electricity demand in the first half of 2025, with solar and wind leading the way. China's manufacturing dominance makes small-scale rooftop solar systems widely accessible, providing reliable energy security for millions across Europe, South Asia, and the Global South.
The CoDICE instrument has successfully collected first-light data from IMAP, measuring energized particles from interstellar space, the solar wind, and solar energetic particles. This will provide a better understanding of our place in the universe by studying the interaction between the interstellar medium and the solar wind.
A new nonlinear dynamic modeling framework captures complex tower-blade interactions, including torsional effects, achieving a remarkable agreement with high-fidelity benchmarks. The framework enables accurate and efficient simulations, contributing to the design of lighter, safer, and more economically competitive wind turbine towers.
The study applies causal machine learning to estimate context-specific effects of wind and solar generation on UK day-ahead and intraday electricity prices. The analysis reveals non-linear price effects that vary with renewable penetration levels.
A new rain correction approach using dual-frequency measurements from the WindRAD instrument aboard the FY-3E satellite significantly improves wind measurement accuracy during moderate rainfall. The method reduces wind speed root-mean-square errors by approximately 0.2 m s−1 and wind direction errors by about 1.6°.
The study found that about 70% of Kansas counties have some form of regulations, with 40% having enabling regulations to accommodate wind development. Counties in western and southern parts of the state tend to have more restrictive regulations, while rural areas with agricultural economies are more likely to have enabling regulations.
Research finds that commercial wind energy installations lead to a significant 3% increase in community home values after becoming operational. This effect is strongly correlated with the size of the energy project and positive impacts on school district revenues and per-pupil expenditures.
Researchers at the University of Córdoba have developed two Artificial Intelligence methodologies capable of predicting extreme wind speeds with greater accuracy than traditional methods. The systems, trained on over 13 years of data, excel in forecasting severe events, allowing turbines to be shut down and preventing damage or collapse.
The University of Texas at Dallas has received a five-year, $500,000 National Science Foundation grant to support AI-powered projects in wind energy research. The grant will fund projects that incorporate artificial intelligence to minimize manufacturing defects and predict turbine component conditions.
The study highlights how wind farms have transformed rural landscapes, disrupting local agricultural markets and eroding rural identities. The research calls for a more participatory and place-based energy transition that respects local heritage and democratic governance.
The new framework enables decision-makers to test how different combinations of hydropower, solar, wind and energy storage affect both energy system costs and sediment delivery. Strategic optimisation can help minimize the impacts of energy transitions on natural ecosystems.
Recent experiments and field tests in a wind tunnel and quarry show that spherical rovers, known as Tumbleweed rovers, can harness the power of Martian winds to navigate over various terrains. The results validate simulations and demonstrate the potential for large-scale and low-cost exploration of the Martian surface.
Researchers found that offshore migration over Atlantic coast and Gulf of Mexico occurs in more concentrated pulses for a shorter time compared to terrestrial migration. The study identified critical window of time when millions of birds migrate offshore each year, offering wind energy managers opportunity to reduce collisions.
The SwRI-built Solar Wind Plasma Sensor (SWiPS) and Space Weather Follow-On Magnetometer (SWFO-MAG) will capture real-time data on solar wind and magnetic field changes to monitor space weather phenomena. This data will support NOAA's Space Weather Prediction Center and help predict potential impacts on Earth's magnetic field.
Scientists at NYU Abu Dhabi create an AI model that forecasts solar wind speeds up to four days in advance, improving accuracy by 45% compared to current methods. The breakthrough helps protect satellites and power grids from disruptions caused by space weather events.
China's rapid wind and solar power development poses challenges but also opportunities for a low-carbon future. The country aims to peak carbon emissions before 2030 and achieve carbon neutrality by 2060.
A new model incorporates rainfall and storm surge, leading causes of hurricane deaths. The proposed scale aims to improve evacuation decisions by providing a more accurate picture of the storm's severity.
Researchers at the University of Cincinnati are developing drones that can optimize wind in real time using a principle called dynamic soaring, inspired by albatrosses. The project aims to turn wind into an advantage for drones, reducing energy loss and increasing efficiency.
The RS-TENG uses mechanical triggering switches to enhance instantaneous current pulses, significantly increasing power density and reducing response time. It has demonstrated the capability to power up to 413 commercial LEDs directly, highlighting its potential in practical applications.
Researchers at TU Wien found that the solar wind ions' erosive effect on the Moon has been vastly overestimated. The actual yield is up to an order of magnitude lower than previously assumed due to the regolith's porous structure.
Recent AI applications in wind speed prediction have improved accuracy and stability. Hybrid models combining shallow and deep learning approaches enhance robustness and long-term pattern extraction. The review emphasizes the role of multi-objective optimization in balancing prediction accuracy, efficiency, and model interpretability.
Researchers used a laser measurement system to capture airflow near ocean surface, identifying two coupling mechanisms that occur simultaneously. This breakthrough sheds light on air-sea exchange processes and could advance atmospheric and oceanic models.
A new study suggests that dedicating just 1% of global offshore wind investments by 2050 could fund the restoration of millions of square kilometers of marine ecosystems. This approach would not only support the energy transition but also make a net-positive contribution to large-scale ecosystem restoration.
A new study by NERC finds that long-term funding has driven the UK's offshore wind industry, providing 17% of total UK electricity and supporting 32,000 jobs. The investment is expected to grow to 100,000 by 2030.
A new deep learning model, CNN-SENet, leverages GNSS-R data to improve wind speed retrieval. The model outperforms conventional models in both speed and precision, offering promising tool for global ocean wind monitoring.
The Dyson-Harrop CubeSat system harnesses high-density energy from the solar wind and offers a compact, modular solution for space-based clean energy. It generates approximately 1 kilowatt of power, more than ten times greater than similarly sized conventional solar panels.
Rice University's student-led Rice Wind Energy team took second place overall at the 2025 Collegiate Wind Competition. The team designed and built a powerful wind turbine, achieving over 20 watts of power in the wind tunnel, and hosted community outreach initiatives to promote renewable energy.
A new study warns that climate change will significantly reshape wind energy potential across the Middle East. Wind speeds at turbine height are projected to decline, posing challenges for energy planners.