Deepwater divers who monitor and maintain underwater transmission lines and cables for #offshorewind turbines face hazards such as subfreezing temperatures, low visibility, jellyfish and sharks. A new project at The #UniversityofTexas at #Dallas' Wind Energy Center, known as UTD Wind, is designed to make the divers' jobs safer through the development of remote-monitoring technology for offshore wind farms. The project, which began in March, expands UTD Wind research into a new area focusing on safety. Researchers will develop digital twins, or virtual models, to simulate #windturbines, and #algorithms to extract information about failures from simulation data. "We're focusing on something very important: safety. In every industry, you want zero accidents," said Dr. Mario Rotea, professor of mechanical engineering in the Erik Jonsson School of Engineering and Computer Science and principal investigator. "We're working to develop technology to reduce human exposure to hazardous conditions in the ocean environment." Working with Rotea are co-principal investigators Dr. Todd Griffith, professor of mechanical engineering, and Dr. Jie Zhang, associate professor of mechanical engineering. The UTD researchers are working with collaborators from NEC Laboratories America and Texas A&M University. There are two types of offshore wind turbines: fixed platform and floating platform. Fixed platform turbines are built closer to the coast in more shallow water, while floating platform turbines can be miles from the coast, with cables and mooring lines connected to a seabed more than 100 feet below sea level. The power transmission lines connect to a transmission center, which transfers power to the #electricalgrid. The water can be as deep as 200 feet. Fixed and floating wind turbine platforms pose risks to personnel and vessels that are not seen at wind power projects on land, Rotea said. "If we can use technology to provide early warnings and prevent a diver from having to inspect an underwater cable, that would be excellent," said Rotea, who is also the director of UTD Wind. The researchers' goal is to place sensors in accessible locations to detect damage and transmit early alarms about any problems. The technology will provide information about the conditions and improve safety for offshore wind energy personnel if they need to intervene, Rotea said. In 2023, wind energy represented nearly 29% of energy generation in Texas, which has more wind turbines—15,300—than any state in the country, according to the state comptroller's office.
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Airborne Wind Energy ...3 ◾ Wind energy is one of the most advanced technologies nowadays for renewable energy sources. In the areas where energy production capacity is needed the most the available land space is limited and has lead to a strong focus on offshore technology for the future investments. ◾ Airborne Wind Energy is one of the options that could be used especially in the offshore wind market when the technology becomes more mature and viable for the commercial application. ◾ Offshore wind energy also offers greater energy potential as wind speeds are higher out in the oceans. ◾ Replacing the large and bulky structure of a turbines tower with a lighter and more efficient tethered wing allows us to generate energy not only at ground level but high up in the skies. ◾ The wind resource in high altitudes is very promising when compared to the conventional wind energy height and wind speed, because at higher altitudes there is significantly higher wind speeds and more consistent wind resources. ◾ Some Disadvantages of Airborne Wind Energy 🔹 Bad weather in the form of thunder and lightning strikes pose very serious risk to the destruction of any airborne device. 🔹 No power is generated if the device is retracted during bad weather. 🔹 Safety hazard as the airborne devices and power cables may become detached or damaged falling to the ground. 🔹 Public acceptance of these large floating airborne devices over land and residential areas. 🔹 Design and control challenges of these autonomous systems in all wind and weather conditions. Kites and wings must be light and durable to fly in the high altitude winds. 🔹 Electrical energy losses in the long conducting cable from the airborne generating system to the ground. 🔹 Tether drag due to large diameter tethers that must survive many duty cycles of varying load, for ground-based systems. The source:Alternative Energy Tutorials #energyticslimited #energyefficiency #renewableenergy #airbornewindenergy #tether
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Floating Offshore Wind Turbines Floating offshore wind turbines offer a promising solution to harnessing more consistent and powerful winds further from the coast. Unlike fixed offshore turbines, these floating systems are not constrained by shallow waters, allowing them to be installed in deeper seas where wind speeds are higher and more constant. However, floating turbines face challenges due to harsher weather conditions and larger waves in deep waters. These turbines must endure greater forces, making their structural design more complex, and their maintenance significantly more costly compared to fixed offshore installations. One of the key challenges is limiting the structural fatigue caused by extreme marine conditions and intense wave activity,. Which can accelerate wear and tear, reduce the lifespan of components, and increase the risk of damage, potentially leading to the failure of critical structural elements such as the blades. By creating digital twins, engineers can build accurate models of floating wind turbines which combines real and virtual data in order to predict malfunctions and increase system performance. These virtual replicas allow for predictive maintenance, identifying potential issues before they become critical, thus helping to reduce long-term maintenance costs. Additionally, CFD simulations are used to optimize the floater design through hydrodynamic simulations, ensuring better stability and improving energy efficiency. At Zelin, we offer advanced engineering solutions to contribute to the development and optimization of offshore renewable energy technologies. #CFD #OffshoreWind #DigitalTwin #RenewableEnergy #Engineering #FluidDynamics #Sustainability #Innovation #WindTurbines Sources : https://lnkd.in/eKt6CrKY https://lnkd.in/eRHP8G4B
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[Wind Power] – Helping you optimize the locations of wind turbines according to acoustic and spatial constraints. Alexis Bigot, R&D manager in our acoustic team, has been working on the development of an innovative solution called Oppio. This solution is based on the simultaneous optimization of operating modes and positions of wind turbines, in order to limit the loss of electricity production while taking regulatory constraints into account. 👉 How does our Oppio method work? In the upstream phase, for wind farm developers, we model the project taking into account various data: the location of wind turbines as well as their acoustic and electrical power characteristics. The aim of the method is to find the optimum layout to minimize production losses, while taking account of regulatory acoustic constraints🔊 Numerical simulations are carried out to compare with the acoustic baseline (initial noise before the wind turbines are installed) and enable the calculation of a curtailment plan of the wind farm. The Oppio method is an #algorithm that seeks to optimize several factors: the wind farm's operating modes and the position of the machines. For projects where acoustic losses are initially high, Oppio can save up to 3% in night-time productivity and 1% in cumulative day/night productivity. With Oppio we help you: ✅ Search for optimum operating modes of the wind farm in compliance with acoustic regulations ✅ Find the optimum wind turbine locations using our algorithm. david SLAVIERO Marwen Bejaoui
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Available now (open access): Assessing some statistical and physical modelling uncertainties of extreme responses for monopile-based offshore wind turbines, using metocean contours As a part of the WAS-XL project, in collaboration with Erin Bachynski-Polić and Sverre K. Haver, we present the results of a comparative study that evaluates some statistical and physical load modelling uncertainties, when estimating long-term extreme responses for large-diameter offshore wind turbines. - How do different probabilistic models of metocean parameters affect the contours and extreme responses? - How does seed variability impact extreme values compared to the choice of probabilistic models? - What is the relative importance using state-of-the-art load models versus common approaches in estimating extremes, compared to statistical uncertainties? Explore more here: https://lnkd.in/dC_U9TBZ #OffshoreWindTurbines #RenewableEnergy
Assessing some statistical and physical modelling uncertainties of extreme responses for monopile-based offshore wind turbines, using metocean contours
sciencedirect.com
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We are pleased to inform that we have new published contents online: Enjoy reading through the latest articles: 1. Experimental validation of a short-term damping estimation method for wind turbines in nonstationary operating conditions 2. OC6 project Phase IV: validation of numerical models for novel floating offshore wind support structures 3. Control co-design optimization of floating offshore wind turbines with tuned liquid multi-column dampers Here the corresponding links to read the full article: 1. https://lnkd.in/gREzpdJm 2. https://lnkd.in/gSW2rbfn 3. https://lnkd.in/gcPdbg7W A big thanks to all the authors and reviewers for their great effort and support. For more information, and to submit your new manuscript, visit us at the WES Journal website: https://lnkd.in/dfDVqGv7 #windenergy #windenergyresearch #research #journal #windenergysciencejournal #futurewind #papers #publications #wind #EAWE #sustainableenergy #renewableenergy #openaccessjournal #impactfactor
Experimental validation of a short-term damping estimation method for wind turbines in nonstationary operating conditions
wes.copernicus.org
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We are pleased to inform you that we have lots of new published contents online: Enjoy reading through the newest article. This week we have the following article online: 1. Field-data-based validation of an aero-servo-elastic solver for high-fidelity large-eddy simulations of industrial wind turbines 2. Nonlinear vibration characteristics of virtual mass systems for wind turbine blade fatigue testing 3. Towards real-time optimal control of wind farms using large-eddy simulations 4. Breakdown of the velocity and turbulence in the wake of a wind turbine – Part 1: Large-eddy-simulation study 5. Breakdown of the velocity and turbulence in the wake of a wind turbine – Part 2: Analytical modelling 6. Drivers for optimum sizing of wind turbines for offshore wind farms 7. Sensitivity of cross-sectional compliance to manufacturing tolerances for wind turbine blades 8. Active trailing edge flap system fault detection via machine learning 9. Influence of rotor blade flexibility on the near-wake behavior of the NREL 5 MW wind turbine Here the corresponding links to read the full article: 1. https://lnkd.in/gHRrbecQ 2. https://lnkd.in/gBPdrQgH 3. https://lnkd.in/gzXYWwdf 4. https://lnkd.in/giEW6GeE 5. https://lnkd.in/gSBQYHpU 6. https://lnkd.in/gmEJaGa3 7. https://lnkd.in/gAQkAWMG 8. https://lnkd.in/gq_t7gN4 9. https://lnkd.in/gw55-5Ww A big thanks to all the authors and reviewers for their great effort and support. For more information, and to submit your new manuscript, visit us at the WES Journal website: https://lnkd.in/dfDVqGv7 #windenergy #windenergyresearch #research #journal #windenergysciencejournal #futurewind #papers #publications #wind #EAWE #sustainableenergy #renewableenergy #openaccessjournal #impactfactor
Field-data-based validation of an aero-servo-elastic solver for high-fidelity large-eddy simulations of industrial wind turbines
wes.copernicus.org
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Thrilled to share a milestone in our journey towards advancing wind energy technologies. Our latest paper, “Developing a digital twin framework for wind tunnel testing: validation of turbulent inflow and airfoil load applications,” represents a step forward in our collective understanding of wind turbine efficiency in the face of atmospheric turbulence. In this work, we've explored the integration of digital twin technology with wind tunnel testing to better simulate and understand the turbulent inflows impacting wind turbines. Our approach, focusing on the Taylor micro-scale within RANS simulations, has shown promising alignment with real-world data, a small but significant step towards improving the accuracy of wind turbine testing. The validation of our models against physical experiments, especially in replicating airfoil load dynamics, offers a glimpse into the potential of digital twins in enhancing renewable energy technologies. I look forward to the discussions and developments this research might spark in our ongoing quest for sustainable energy solutions. Special thanks to my mentors: Caroline Braud, Ingrid Neunaber, and Emmnuel Guilmineau. #WindEnergy #windenergysciencejournal #EAWE #RenewableEnergy #DigitalTwin #cnrs #ntnu #centrale_nantes #anr #MOMENTA
Developing a digital twin framework for wind tunnel testing: validation of turbulent inflow and airfoil load applications
wes.copernicus.org
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A new ‘first of its kind’ physics-based model for rotor aerodynamics could radically improve how wind turbines are designed and has “immediate” implications for how they are operated, according to the Massachusetts Institute of Technology (MIT) engineers behind it. "Our theory can directly tell you, without any empirical corrections, for the first time, how you should actually operate a wind turbine to maximize its power,” said Michael Howland, the Esther and Harold E. Edgerton Assistant Professor of Civil and Environmental Engineering at MIT. The research was supported by turbine making giant Siemens Gamesa. #windfarms #renewables #renewableenergy #greenpower #science Global Wind Energy Council (GWEC) WindEurope Offshore Renewable Energy Catapult Norwegian Offshore Wind https://lnkd.in/dUY8Yrds
New MIT rotor aerodynamics model shows 'how to maximise wind turbine power'
rechargenews.com
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Good news from the lab of UC San Diego Prof. Patricia Hidalgo-Gonzalez: As the costs of offshore wind and wave energy continue to decrease, these new sources of energy could reduce the total installed energy capacity required to reach zero-emission grids by up to 17%. As the world races to decarbonize power systems to mitigate climate change, the body of research analyzing paths to zero emissions electricity grids has substantially grown. Although studies typically include commercially available technologies, few of them consider offshore wind and wave energy as contenders in future zero-emissions grids. In this Nature Communications paper, the UC San Diego Mechanical and Aerospace Engineering Department researchers model with high geographic resolution both offshore wind and wave energy as independent technologies with the possibility of collocation in a power system capacity expansion model of the Western Interconnection with zero emissions by 2050. The researchers identified cost targets for offshore wind and wave energy to become cost effective, calculated a 17% reduction in total installed capacity by 2050 when offshore wind and wave energy are fully deployed, and show how curtailment, generation, and transmission change as offshore wind and wave energy deployment increase. Read more in the paper: https://lnkd.in/ggZ82V7g This research was done in collaboration with Tufts University, University of California, Berkeley, Berkeley Lab, University of Oviedo, CalWave Inc. and University of California, Merced. First author is Natalia Gonzalez.
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#HVDC and #GridForming I've seen so many papers and research proposals how the #GridForming shall be implemented in #IBR. It is getting more than confusing. Especially if you would like to make sam requirements for different resources behind - small PV, wind turbines, large wind/pv farms or #HVDC (interconnector or connecting e.g. offshore wind). From engineering approach and feasibility, my recommendation would be to read one of the deliverables from #InterOPERA where several #TSO/ISO/RTO together with HVDC manufacturers provided a "Grid-forming functional requirements for HVDC". As an example there are 5 mandatory (e.g. inertial active power) and 3 optional functional requirements (e.g. black start) as well 4 mandatory withstand requirements (e.g. maximum RoCoF). Full reading can be found on: https://lnkd.in/dExq6ube Some of the findings of the InterOPERA can be heard at panel session at IEEE PES GM 2024 in Seattle and at CIGRE 2024 in Paris. #HVDC #HVDCGrids #Offshore
D2.2-GFM-functional-requirements-v1.1-Submitted-PU-1.pdf
interopera.eu
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