Relevant bibliographies by topics / Ice accretion modeling on wind turbines

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
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  5. Conference papers

Academic literature on the topic 'Ice accretion modeling on wind turbines'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Ice accretion modeling on wind turbines"

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Martini, Fahed, Leidy Tatiana Contreras Montoya, and Adrian Ilinca. "Review of Wind Turbine Icing Modelling Approaches." Energies 14, no. 16 (August 23, 2021): 5207. http://dx.doi.org/10.3390/en14165207.

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When operating in cold climates, wind turbines are vulnerable to ice accretion. The main impact of icing on wind turbines is the power losses due to geometric deformation of the iced airfoils of the blades. Significant energy losses during the wind farm lifetime must be estimated and mitigated. Finding solutions for icing calls on several areas of knowledge. Modelling and simulation as an alternative to experimental tests are primary techniques used to account for ice accretion because of their low cost and effectiveness. Several studies have been conducted to replicate ice growth on wind turbine blades using Computational Fluid Dynamics (CFD) during the last decade. While inflight icing research is well developed and well documented, wind turbine icing is still in development and has its peculiarities. This paper surveys and discusses the models, approaches and methods used in ice accretion modelling in view of their application in wind energy while summarizing the recent research findings in Surface Roughness modelling and Droplets Trajectory modelling. An An additional section discusses research on the modelling of electro-thermal icing protection systems. This paper aims to guide researchers in wind engineering to the appropriate approaches, references and tools needed to conduct reliable icing modelling for wind turbines.
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Makkonen, Lasse, Timo Laakso, Mauri Marjaniemi, and Karen J. Finstad. "Modelling and Prevention of Ice Accretion on Wind Turbines." Wind Engineering 25, no. 1 (January 2001): 3–21. http://dx.doi.org/10.1260/0309524011495791.

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Pedersen, Marie Cecilie, and Chungen Yin. "Preliminary Modelling Study of Ice Accretion on Wind Turbines." Energy Procedia 61 (2014): 258–61. http://dx.doi.org/10.1016/j.egypro.2014.11.1102.

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Fu, Ping, and Masoud Farzaneh. "A CFD approach for modeling the rime-ice accretion process on a horizontal-axis wind turbine." Journal of Wind Engineering and Industrial Aerodynamics 98, no. 4-5 (April 2010): 181–88. http://dx.doi.org/10.1016/j.jweia.2009.10.014.

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Yirtici, Ozcan, Ismail H. Tuncer, and Serkan Ozgen. "Ice Accretion Prediction on Wind Turbines and Consequent Power Losses." Journal of Physics: Conference Series 753 (September 2016): 022022. http://dx.doi.org/10.1088/1742-6596/753/2/022022.

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Janzon, Erik, Heiner Körnich, Johan Arnqvist, and Anna Rutgersson. "Single Column Model Simulations of Icing Conditions in Northern Sweden: Sensitivity to Surface Model Land Use Representation." Energies 13, no. 16 (August 17, 2020): 4258. http://dx.doi.org/10.3390/en13164258.

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In-cloud ice mass accretion on wind turbines is a common challenge that is faced by energy companies operating in cold climates. On-shore wind farms in Scandinavia are often located in regions near patches of forest, the heterogeneity length scales of which are often less than the resolution of many numerical weather prediction (NWP) models. The representation of these forests—including the cloud water response to surface roughness and albedo effects that are related to them—must therefore be parameterized in NWP models used as meteorological input in ice prediction systems, resulting in an uncertainty that is poorly understood and, to the present date, not quantified. The sensitivity of ice accretion forecasts to the subgrid representation of forests is examined in this study. A single column version of the HARMONIE-AROME three-dimensional (3D) NWP model is used to determine the sensitivity of the forecast of ice accretion on wind turbines to the subgrid forest fraction. Single column simulations of a variety of icing cases at a location in northern Sweden were examined in order to investigate the impact of vegetation cover on ice accretion in varying levels of solar insolation and wind magnitudes. In mid-winter cases, the wind speed response to surface roughness was the primary driver of the vegetation effect on ice accretion. In autumn cases, the cloud water response to surface albedo effects plays a secondary role in the impact of in-cloud ice accretion, with the wind response to surface roughness remaining the primary driver for the surface vegetation impact on icing. Two different surface boundary layer (SBL) forest canopy subgrid parameterizations were tested in this study that feature different methods for calculating near-surface profiles of wind, temperature, and moisture, with the ice mass accretion again following the wind response to surface vegetation between both of these schemes.
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Afzal, Faizan, and Muhammad S. Virk. "Review of Icing Effects on Wind Turbine in Cold Regions." E3S Web of Conferences 72 (2018): 01007. http://dx.doi.org/10.1051/e3sconf/20187201007.

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This paper describes a brief overview of main issues related to atmospheric ice accretion on wind turbines installed in cold climate region. Icing has significant effects on wind turbine performance particularly from aerodynamic and structural integrity perspective, as ice accumulates mainly on the leading edge of the blades that change its aerodynamic profile shape and effects its structural dynamics due to added mass effects of ice. This research aims to provide an overview and develop further understanding of the effects of atmospheric ice accretion on wind turbine blades. One of the operational challenges of the wind turbine blade operation in icing condition is also to overcome the process of ice shedding, which may happen due to vibrations or bending of the blades. Ice shedding is dangerous phenomenon, hazardous for equipment and personnel in the immediate area.
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Ibrahim, G. M., K. Pope, and Y. S. Muzychka. "Effects of blade design on ice accretion for horizontal axis wind turbines." Journal of Wind Engineering and Industrial Aerodynamics 173 (February 2018): 39–52. http://dx.doi.org/10.1016/j.jweia.2017.11.024.

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Saleh, S. A., R. Ahshan, and C. R. Moloney. "Wavelet-Based Signal Processing Method for Detecting Ice Accretion on Wind Turbines." IEEE Transactions on Sustainable Energy 3, no. 3 (July 2012): 585–97. http://dx.doi.org/10.1109/tste.2012.2194725.

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Strauss, Lukas, Stefano Serafin, and Manfred Dorninger. "Skill and Potential Economic Value of Forecasts of Ice Accretion on Wind Turbines." Journal of Applied Meteorology and Climatology 59, no. 11 (November 2020): 1845–64. http://dx.doi.org/10.1175/jamc-d-20-0025.1.

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AbstractIn this paper, a verification study of the skill and potential economic value of forecasts of ice accretion on wind turbines is presented. The phase of active ice formation on turbine blades has been associated with the strongest wind power production losses in cold climates; however, skillful icing forecasts could permit taking protective measures using anti-icing systems. Coarse- and high-resolution forecasts for the range up to day 3 from global (IFS and GFS) and limited-area (WRF) models are coupled to the Makkonen icing model. Surface and upper-air observations and icing measurements at turbine hub height at two wind farms in central Europe are used for model verification over two winters. Two case studies contrasting a correct and an incorrect forecast highlight the difficulty of correctly predicting individual icing events. A meaningful assessment of model skill is possible only after bias correction of icing-related parameters and selection of model-dependent optimal thresholds for ice growth rate. The skill of bias-corrected forecasts of freezing and humid conditions is virtually identical for all models. Hourly forecasts of active ice accretion generally show limited skill; however, results strongly suggest the superiority of high-resolution WRF forecasts relative to other model variants. Predictions of the occurrence of icing within a period of 6 h are found to have substantially better accuracy. Probabilistic forecasts of icing that are based on gridpoint neighborhood ensembles show slightly higher potential economic value than forecasts that are based on individual gridpoint values, in particular at low cost-loss ratios, that is, when anti-icing measures are comparatively inexpensive.
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Dissertations / Theses on the topic "Ice accretion modeling on wind turbines"

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Ali, Muhammad Anttho. "In-cloud ice accretion modeling on wind turbine blades using an extended Messinger model." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53870.

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Wind turbines often operate under cold weather conditions where icing may occur. Icing causes the blade sections to stall prematurely reducing the power production at a given wind speed. The unsteady aerodynamic loads associated with icing can accelerate blade structural fatigue and creates safety concerns. In this work, the combined blade element-momentum theory is used to compute the air loads on the baseline rotor blades, prior to icing. At each blade section, a Lagrangian particle trajectory model is used to model the water droplet trajectories and their impact on the blade surface. An extended Messinger model is next used to solve the conservation of mass, momentum, and energy equations in the boundary layer over the surface, and to determine ice accretion rate. Finally, the aerodynamic characteristics of the iced blade sections are estimated using XFOIL, which initiate the next iteration step for the computation of air loads via combined blade element theory. The procedure repeats until a desired exposure time is achieved. The performance degradation is then predicted, based on the aerodynamic characteristics of the final iced blades. The 2-D ice shapes obtained are compared against experimental data at several representative atmospheric conditions with acceptable agreement. The performance of a generic experimental wind turbine rotor exposed to icing climate is simulated to obtain the power loss and identify the critical locations on the blade. The results suggest the outboard of the blade is more prone to ice accumulation causing considerable loss of lift at these sections. Also, the blades operating at a higher pitch are expected to accumulate more ice. The loss in power ranges from 10% to 50% of the rated power for different pitch settings under the same operating conditions.
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Rindeskär, Erik. "Modelling of icing for wind farms in cold climate : A comparison between measured and modelled data for reproducing and predicting ice accretion." Thesis, Uppsala universitet, Luft-, vatten och landskapslära, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-133381.

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Wind farms are nowadays more often constructed in alpine terrain than earlier due to theprofitable wind resource as well as, often, less conflicting interests than in more denselypopulated areas. The cold climate poses a relatively new challenge to the wind power industrysince icing of the wind turbine blades and sensors may induce losses in production, increasethe wear and tear of the components, leading to a shortening of structural life time as well as itdecreases the availability and hence reducing the economical profitability for the owner.This study focuses on modelling of ice accretion on a vertically mounted cylinder,dimensioned to correspond to an IceMonitor, and comparing the results with measured iceload on a similar instrument during the winter of 2009/2010. The modelling is carried outwith both a statistical approach using multiple linear regression and a physical approach usingmodel for ice accretion. Ice load was also modelled for the period 1989-2009 using the ERAinterimre-analysis data set in order to compare the winter 09/10 with a longer referenceseries. Modelled ice loads for four winters between 2005 and 2009 were compared withproduction data to investigate a possible connection between ice load and production losses.The results showed that the statistical approach was unable in its current form toreproduce and predict measured ice loads and the method was deemed unsuitable. Thephysical model shows more promising results, although with problems in modelling rapid iceaccretion and ice shedding events.No clear connection between measured production losses and modelled ice loads wasfound when analyzing available data. Uncertainties in input data correction as well asimportance of ice density are possible sources of error.Due to confidentiality of some of the data, the measurement sites used in this thesis aredenoted site A, site B and site C.
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Arbinge, Peter. "The effect on noise emission from wind turbines due to ice accretion on rotor blades." Thesis, KTH, MWL Marcus Wallenberg Laboratoriet, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-118267.

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Swedish EPA (Naturvårdsverket) noise level guide-lines suggest that equivalent A-weighted sound pressure levels (SPL) must not exceed 40 dBA at residents. Thus, in the planning of new wind farms and their location it is crucial to estimate the disturbance it may cause to nearby residents. Wind turbine noise emission levels are guaranteed by the wind turbine manufacturer only under ice-free conditions. Thus, ice accretion on wind turbine may lead to increased wind turbine noise resulting in noise levels at nearby residents to exceed 40 dBA SPL. The purpose of the project is to evaluate the effect on wind turbine noise emission due to ice accretion. This, by trying to quantify the ice accretion on rotor blades and correlate it to any change in noise emission. A literature study shows that the rotor blades are to be considered the primary noise source. Hence, ice accretion on rotor blades are assumed to be the main influence on noise character. A field study is performed in two parts; as a long term measurement based on the method out-lined by IEC 61400-11 and as a short term measurement in strict accordance with IEC 61400-11. These aim to obtain noise emission levels for the case of icing conditions and ice-free conditions (reference conditions) as well as background noise levels. An analysis is performed, which sets out to correlate ice measurements with wind turbine performance and noise emission. Data reduction procedures are performed according to IEC 61400-11.The apparent sound power levels are evaluated. This is performed for the case of icing conditions as well as for the case of ice-free onditions. A statistical evaluation of icing event is carried out. The results show that ice accretion on wind turbine (rotor blades) may lead to drastically higher noise emission levels. The sound power levels show an average increase of 10.6 dB at 8 m/s. However, this can occur at all wind speeds from 6 m/s to 10 m/s. Higher levels of noise, (55 to 65 dBA SPL) may be caused by very small amounts of ice accretion. Occurrences of higher levels of noise, in the range of 50 to 65 dBA SPL, are not common. Noise levels exceeding 50 dBA SPL are to expected 10.3 % of the time during the winter or 3 % of the time during one year. Correlation between measured ice accumulation and noise level is weak apart from large amounts of ice. This due to statistical noise. Taking into account the noise level guide-lines of 40 dBA SPL at residents, as is recommended by Swedish EPA (Naturvårdsverket), the increased levels of windturbine noise under icing conditions may force the power production to a halt.
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Felding, Oscar. "Determining and analysing production losses due to ice on wind turbines using SCADA data." Thesis, Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-83287.

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Wind turbines are becoming a more common sight and a more important part in the power grid. The benefits are mainly that wind energy is a renewable energy source and a single wind turbine can produce enough electricity to cover several households’ annual electricity need and not producing carbon dioxide as a rest product. Drawbacks are fluctuation in wind speed, which makes it difficult to regulate. The turbines need to be placed far from cities which cause losses in transmission in the national power grid.  In cold areas with long winters there is a risk of high energy losses due to iced blades. If there is ice accretion on the wind turbine blades it can cause a production loss and in extension economical losses by not selling the electricity. Finding those events is of high interest and there are methods to prevent and remove ice. However, there are occasions when there is ice on the blades, but no sensors signal this, and the production loss is a fact. There is a presumed production loss of 5-25 % annually due to icing on wind turbines in Sweden, depending on where the site is located. There is no general method for detecting ice in the industry but there are several methods available developed by different parties.  In this master’s thesis, a software has been developed in cooperation with Siemens Gamesa Renewable Energy to identify production losses on wind turbines due to icing using historical SCADA data. The software filters the raw data to construct a reference curve, to which data during cold weather is compared. It was found that low temperature causes ice losses, and the risk of an ice loss increases as temperature decreases. The annual losses at investigated wind farms were 4-10 % of the expected annual production.
Vindkraftverk blir en allt vanligare syn och en viktigare del i kraftnätet. Fördelarna är framförallt att det är en förnybar energykälla, det blir inga koldioxidutsläpp när vindkraftverken har installerats och ett vindkraftverk kan täcka flera hushålls årliga elbehov. Nackdelar är att vinden inte går att kontrollera och elproduktionen inte är garanterad eller konstant. Vindkraftverk placeras långt ifrån tätorter, vilket leder till förluster under distribution.  I kalla regioner med långa vintrar uppstår en risk för energiförluster på grund av nedisade turbinblad. Om det finns ispåbyggnad på turbinbladen kan det orsaka produktionsförluster och följaktligen en ekonomisk förlust. Det är av stort intresse i att upptäcka dessa och det finns flera metoder för att förbygga is och även avisning. Det antas vara produktionsförluster på 5-25 % årligen på grund av is i Sverige, beroende på vindparkens placering. Det finns ingen generell metod för att upptäcka is inom industrin, men det finns flera metoder utvecklade av olika parter.  I det här examensarbetet har en mjukvara utvecklats i samarbete med Siemens Gamesa Renewable Energy för att upptäcka produktionsförluster hos vindkraftverk orsakade av nedisade turbinblad genom att använda SCADA-data. Mjukvaran filtrerar rådata för att beräkna en referenskurva, mot vilken data för kallt väder kan jämföras. Den visar att det finns korrelation mellan låg temperatur och produktionsförluster samt att risken för produktionsförlust ökar då temperaturen sjunker. De årliga produktionsförlusterna hos de undersökta vindparkerna var 4-10 % av den förväntade årliga produktionen.
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Books on the topic "Ice accretion modeling on wind turbines"

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Spectral analysis and experimental modeling of ice accretion roughness. Washington, D.C: American Institute of Aeronautics and Astronautics, 1996.

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Book chapters on the topic "Ice accretion modeling on wind turbines"

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Pallarol, J. G., B. Sunden, and Zan Wu. "On Ice Accretion for Wind Turbines and Influence of Some Parameters." In Aerodynamics of Wind Turbines, 129–59. WIT Press, 2014. http://dx.doi.org/10.2495/978-1-78466-004-8/006.

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Conference papers on the topic "Ice accretion modeling on wind turbines"

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Jha, Pankaj, Dwight Brillembourg, and Sven Schmitz. "Wind Turbines Under Atmospheric Icing Conditions - Ice Accretion Modeling, Aerodynamics, and Control Strategies for Mitigating Performance Degradation." In 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-1287.

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Sankar, Lakshmi N., and Muhammad Ali. "In-Cloud Ice Accretion Modeling on Wind Turbine Blades Using an Extended Messinger Model." In 13th International Energy Conversion Engineering Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-3715.

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Martini, Fahed, Drishty Ramdenee, Hussein Ibrahim, and Adrian Ilinca. "A lagrangean interactive interface to evaluate ice accretion modeling on a cylinder - a test case for icing modeling on wind turbine airfoils." In Energy Conference (EPEC). IEEE, 2011. http://dx.doi.org/10.1109/epec.2011.6070244.

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Elhajare, Mustafa, Kevin Pope, and Xili Duan. "Experimental Investigation of Ice Accretion on Horizontal Axis Wind Turbines." In 2018 Canadian Society for Mechanical Engineering (CSME) International Congress. York University Libraries, 2018. http://dx.doi.org/10.25071/10315/35353.

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Sokolov, Pavlo, Jia Yi Jin, and Muhammad S. Virk. "On the empirical k-factor in ice accretion on wind turbines: A numerical study." In 2017 2nd International Conference on Power and Renewable Energy (ICPRE). IEEE, 2017. http://dx.doi.org/10.1109/icpre.2017.8390570.

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Venkataramani, K., Chellappa Balan, Ron Plybon, Rick Donaldson, and Richard Caney. "Wind Tunnel Tests and Modeling Studies of Aircraft Engine Ice Accretion." In 41st Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2003. http://dx.doi.org/10.2514/6.2003-906.

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Saleh, S. A., and C. R. Moloney. "Development and testing of wavelet packet transform-based detector for ice accretion on wind turbines." In 2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE). IEEE, 2011. http://dx.doi.org/10.1109/dsp-spe.2011.5739189.

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Dehghani-sanij, Alireza, Yuri S. Muzychka, and Greg F. Naterer. "Analysis of Ice Accretion on Vertical Surfaces of Marine Vessels and Structures in Arctic Conditions." In ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-41306.

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The phenomenon of icing in cold climates is a challenging problem of engineering analysis, which involves heat transfer, phase change and multiphase flow with water droplets. This phenomenon has an important impact on the performance and operation of marine vessels, offshore structures, and others such as wind turbines, power lines, and aircraft surfaces. In this paper, a predictive icing model for large vertical surfaces of a marine vessel is developed theoretically. The total flux of sea-spray, including wave spray and wind spray, is analyzed during the spray process. By using heat, mass and salt concentration balances, the freezing fraction, temperature distribution, ice layer thickness, and liquid film thickness are determined. The results are compared with the numerical and experimental results of other studies. Good agreement between the theoretical predictions and other results demonstrates the improved accuracy of the proposed method over past models.
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Yu, Bingbin, Dale G. Karr, and Senu Sirnivas. "Ice Nonsimultaneous Failure, Bending and Floe Impact Modeling for Simulating Wind Turbine Dynamics Using FAST." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-24320.

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Many promising locations for developing offshore wind energy are in cold regions. This type of environment introduces one important technological challenge for offshore wind turbine design: the impact of floating surface ice. Recent developments to add an ice-loading module to the wind turbine computer-aided-engineering tool FAST are described in this paper. These efforts enable FAST, developed and maintained by the National Renewable Energy Laboratory, to simulate the impact of ice on offshore wind turbines. The ice-loading module includes different ice mechanics models that address various ice properties, failure modes, and ice-structure interaction mechanisms. In a previous OMAE symposium paper, models for quasi-static crushing, transient dynamic ice breakage, and random forcing for the ice module were described. In this paper, three new models are presented. One model evaluates the ice-loading effective pressure reduction caused by ice nonsimultaneous failure in discrete local zones across the contact area. The second model generates time-dependent ice forces on conical structures caused by bending failure. The third model is used to simulate large ice floe interaction with wind turbine support systems. This third model describes ice forces that are limited by momentum or splitting failure of ice floes. These models are integrated in the FAST modularization framework and allow for the simulation of coupled ice force, ice floe motion, and wind turbine structure response. This paper also presents example numerical simulation results of wind turbine dynamics using FAST coupled with these three new models.
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Donadei, Valentina, Heli Koivuluoto, Essi Sarlin, and Petri Vuoristo. "Durability of Lubricated Icephobic Coatings under Multiple Icing/Deicing Cycles." In ITSC2021, edited by F. Azarmi, X. Chen, J. Cizek, C. Cojocaru, B. Jodoin, H. Koivuluoto, Y. C. Lau, et al. ASM International, 2021. http://dx.doi.org/10.31399/asm.cp.itsc2021p0473.

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Abstract In subzero conditions, atmospheric ice naturally accretes on surfaces in outdoor environments. This accretion can compromise the operational performance of several industrial applications, such as wind turbines, power lines, aviation, and maritime transport. To effectively prevent icing problems, the development of durable icephobic coating solutions is strongly needed. Here, the durability of lubricated icephobic coatings was studied under repeated icing/deicing cycles. Lubricated coatings were produced in one-step by flame spraying with hybrid feedstock injection. The coating icephobicity was investigated by accreting ice from supercooled microdroplets using an icing wind tunnel. The ice adhesion strength was evaluated by a centrifugal ice adhesion tester. The icing performance was investigated over four icing/deicing cycles. Surface properties of coatings, such as morphology, topography, chemical composition and wettability, were analyzed before and after the cycles. The results showed an increase in ice adhesion over the cycles, while a stable icephobic behaviour was retained for one selected coating. Moreover, consecutive ice detachment caused a surface roughness increase. This promotes the formation of mechanical interlocking with ice, thus justifying the increased ice adhesion. Finally, the coating hydrophobicity mainly decreased as a consequence of the damaged surface topography. In summary, lubricated coatings retained a good icephobic level after the cycles, thus demonstrating their potential for icephobic applications.
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