Academic literature on the topic 'Wind speed'
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Journal articles on the topic "Wind speed"
Ni, Weicheng, Ad Stoffelen, Kaijun Ren, Xiaofeng Yang, and Jur Vogelzang. "SAR and ASCAT Tropical Cyclone Wind Speed Reconciliation." Remote Sensing 14, no. 21 (November 2, 2022): 5535. http://dx.doi.org/10.3390/rs14215535.
Full textLi, Gang, Juan Cui, Tingshan Liu, Yongqiu Zheng, Congcong Hao, Xiaojian Hao, and Chenyang Xue. "Triboelectric-Electromagnetic Hybrid Wind-Energy Harvester with a Low Startup Wind Speed in Urban Self-Powered Sensing." Micromachines 14, no. 2 (January 23, 2023): 298. http://dx.doi.org/10.3390/mi14020298.
Full textObukhov, S. G. "DYNAMIC WIND SPEED MODEL FOR SOLVING WIND POWER PROBLEMS." Eurasian Physical Technical Journal 17, no. 1 (June 2020): 77–84. http://dx.doi.org/10.31489/2020no1/77-84.
Full textClarizia, Maria Paola, and Christopher S. Ruf. "Bayesian Wind Speed Estimation Conditioned on Significant Wave Height for GNSS-R Ocean Observations." Journal of Atmospheric and Oceanic Technology 34, no. 6 (June 2017): 1193–202. http://dx.doi.org/10.1175/jtech-d-16-0196.1.
Full textTang, Brian H., and Nick P. Bassill. "Point Downscaling of Surface Wind Speed for Forecast Applications." Journal of Applied Meteorology and Climatology 57, no. 3 (March 2018): 659–74. http://dx.doi.org/10.1175/jamc-d-17-0144.1.
Full textMatsyura, Alex, Kazimierz Jankowski, and Marina Matsyura. "BIRDS’ FLIGHT ENERGY PREDICTIONS AND APPLICATION TO RADAR-TRACKING STUDY." Biological Bulletin of Bogdan Chmelnitskiy Melitopol State Pedagogical University 3, no. 03 (October 28, 2013): 135. http://dx.doi.org/10.15421/20133_45.
Full textManaster, Andrew, Lucrezia Ricciardulli, and Thomas Meissner. "Validation of High Ocean Surface Winds from Satellites Using Oil Platform Anemometers." Journal of Atmospheric and Oceanic Technology 36, no. 5 (May 2019): 803–18. http://dx.doi.org/10.1175/jtech-d-18-0116.1.
Full textEpstein, Lewis. "Wind force and wind speed." Physics Teacher 29, no. 4 (April 1991): 196–97. http://dx.doi.org/10.1119/1.2343275.
Full textGonzález-González, Asier, and Jose Manuel Lopez-Guede. "Longitudinal wind speed time series generation to wind turbine controllers tuning." International Journal of Renewable Energy Development 7, no. 3 (December 15, 2018): 199–204. http://dx.doi.org/10.14710/ijred.7.3.199-204.
Full textvan Zadelhoff, G. J., A. Stoffelen, P. W. Vachon, J. Wolfe, J. Horstmann, and M. Belmonte Rivas. "Scatterometer hurricane wind speed retrievals using cross polarization." Atmospheric Measurement Techniques Discussions 6, no. 4 (August 28, 2013): 7945–84. http://dx.doi.org/10.5194/amtd-6-7945-2013.
Full textDissertations / Theses on the topic "Wind speed"
Ndzukuma, Sibusiso. "Statistical tools for wind energy generation." Thesis, Nelson Mandela Metropolitan University, 2012. http://hdl.handle.net/10948/d1020627.
Full textMason, Jesse Cheyenne. "On improving wind-turbine hub-height wind-speed forecasts." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/46558.
Full textGoodfellow, David. "Variable speed operation of wind turbines." Thesis, University of Leicester, 1986. http://hdl.handle.net/2381/7822.
Full textAl-Qahtani, Turki Haif. "An improved design of wind towers for wind induced natural ventilation." Thesis, University of Bath, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323566.
Full textOrimoto, Mika. "Regional analysis of extreme gust wind speed." Thesis, University of Hawaii at Manoa, 2003. http://hdl.handle.net/10125/7043.
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Harvey, Scott A. "Low-speed wind tunnel flow quality determination." Thesis, Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/5584.
Full textlected points. Incorporated instrumentation includes pressure transducers attached to a pitot-static tube, wall static pressure taps, and a pressure rake; a hotwire anemometry system, and a linear traverse system. These were integrated with a data acquisition (DAQ) processor with analog to digital conversion and digital I/O boards, and controlled using in-house developed LabVIEW software. Testing showed a maximum axial velocity of 38 m/s, which is 84% of the tunnel?s rated speed. The 2-D flow uniformity was within ±7% by pressure rake, and ±3% with a turbulence intensity ?0.11% at full speed using a CTA, affirming the tunnel?s viability as a demonstration platform. Spectral density plots in the boundary layer exhibit typical behavior of fully developed equilibrium turbulent flow with an intertial sub-range present. Future testing of a flat-plate wake for drag modification is planned.
Wilson, Joshua David. "Quantifying hurricane wind speed with undersea sound." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/39204.
Full textIncludes bibliographical references (p. 155-169).
Hurricanes, powerful storms with wind speeds that can exceed 80 m/s, are one of the most destructive natural disasters known to man. While current satellite technology has made it possible to effectively detect and track hurricanes, expensive 'hurricane-hunting' aircraft are required to accurately classify their destructive power. Here we show that passive undersea acoustic techniques may provide a promising tool for accurately quantifying the destructive power of a hurricane and so may provide a safe and inexpensive alternative to aircraft-based techniques. It is well known that the crashing of wind-driven waves generates underwater noise in the 10 Hz to 10 kHz range. Theoretical and empirical evidence are combined to show that underwater acoustic sensing techniques may be valuable for measuring the wind speed and determining the destructive power of a hurricane. This is done by first developing a model for the acoustic intensity and mutual intensity in an ocean waveguide due to a hurricane and then determining the relationship between local wind speed and underwater acoustic intensity.
(cont.) Acoustic measurements of the underwater noise generated by hurricane Gert are correlated with meteorological data from reconnaissance aircraft and satellites to show that underwater noise intensity between 10 and 50 Hz is approximately proportional to the cube of the local wind speed. From this it is shown that it should be feasible to accurately measure the local wind speed and quantify the destructive power of a hurricane if its eye wall passes directly over a single underwater acoustic sensor. The potential advantages and disadvantages of the proposed acoustic method are weighed against those of currently employed techniques. It has also long been known that hurricanes generate microseisms in the 0.1 to 0.6 Hz frequency range through the non-linear interaction of ocean surface waves. Here we model microseisms generated by the spatially inhomogeneous waves of a hurricane with the non-linear wave equation where a second-order acoustic field is created by first-order ocean surface wave motion. We account for the propagation of microseismic noise through range-dependent waveguide environments from the deep ocean to a receiver on land. We compare estimates based on the ocean surface wave field measured in hurricane Bonnie with seismic measurements from Florida.
by Joshua David Wilson.
Ph.D.
Licari, John. "Control of a variable speed wind turbine." Thesis, Cardiff University, 2013. http://orca.cf.ac.uk/46516/.
Full textLetellier, Baptiste. "Forecasting Maximum Wind Speed at Offshore Sites." Thesis, KTH, Kraft- och värmeteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191790.
Full textEnergiföretag som Vattenfall, som deltar i byggandet och driften av vindkraftverk, behöver löpande ha korrekt kunskap om vindhastighetsvärden, som är avgörande för logistiken, säkerheten och ekonomin. Detta examensarbete undersöker möjligheten att förutsäga maximala vindhastigheter på offshore platser, studerar riktigheten i dessa prognoser, och specificerar tillgängliga och beprövade metoder för väderprognoser så att de kan anpassas till Vattenfalls behov. För att komma fram med prognoser om maximalt vindhastighet, olika statistiska modeller har valts. Några av dem är lämpliga för kortsiktiga prognoser (från 1 timme och upp till 6 timmar i förväg), andra syftar till att leverera förutsägelser på längre sikt (dagar framåt, upp till 72h). Metodiken bestod i att välja rätt parametrar för varje modell, beroende på vindmätningar och väderprognoser på de testade platserna. Prognoserna utfärdades med hjälp av modellernas ekvationer och de prognostiserade maximala vindhastigheterna jämfördes med de uppmätta värden i verkligheten, därmed kunde den mest lämpade modellen identifieras. Studien visar att i förekommande fall då statistiska modeller valdes - såsom Vector Auto-Regression för kortsiktiga, och respektive Generaliserad Additiv Modell för långsiktiga prognoser - det genomsnittliga precisionsfelet för förutsägelsen av maximal vindhastighet var lägre än 2 m/s, således var prognoserna tillräckligt noggranna för att appliceras i riktiga tillämpningar. En del arbete på modellernas inlärning återstår att göras innan de kan integreras fullt ut i Vattenfalls interna väderprognossystemet, men de första resultaten härmed är mycket lovande.
Ramtharan, Gnanasambandapillai. "Control of variable speed wind turbine generators." Thesis, University of Manchester, 2008. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556174.
Full textBooks on the topic "Wind speed"
Abild, J. Application of the wind atlas method to extremes of wind climatology. Roskilde: Risø National Laboratory, 1994.
Find full textBarlow, Jewel B. Low-speed wind tunnel testing. 3rd ed. New York: Wiley, 1999.
Find full textSimiu, Emil. Extreme wind distribution tails: A 'peaks over threshold' approach. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1995.
Find full textSimiu, Emil. Estimates of hurricane wind speeds by the 'peaks over threshold' method. Gaithersburg, MD: U.S. Department of Commerce, Technology Administration, National Institute of Standards and Technology, 1996.
Find full textDear, S. J. Western Australia wind atlas: Results of research carried out as MERIWA Project No E116 in the School of Biological and Environmental Sciences, Murdoch University. East Perth, WA: Distributed by MERIWA, 1990.
Find full textBell, James H. Contraction design for small low-speed wind tunnels. Stanford, Calif: Stanford University, Department of Aeronautics and Astronautics, 1988.
Find full textSmith, Stewart Ellis. An instrument for measuring turbulence during wind erosion. Perth, W.A: Division of Environmental Science, Murdoch University, 1994.
Find full textHughes, Christopher G. Summary of low-speed wind tunnel results of several high-speed counterrotation propeller configurations. [Washington, DC]: National Aeronautics and Space Administration, 1988.
Find full textHughes, Christopher G. Summary of low-speed wind tunnel results of several high-speed counterrotation propeller configurations. [Washington, DC]: National Aeronautics and Space Administration, 1988.
Find full textHughes, Christopher G. Summary of low-speed wind tunnel results of several high-speed counterrotation propeller configurations. [Washington, DC]: National Aeronautics and Space Administration, 1988.
Find full textBook chapters on the topic "Wind speed"
Fujino, Yozo, Kichiro Kimura, and Hiroshi Tanaka. "Design Wind Speed." In Wind Resistant Design of Bridges in Japan, 39–70. Tokyo: Springer Japan, 2012. http://dx.doi.org/10.1007/978-4-431-54046-5_4.
Full textSoloviev, Alexander, and Roger Lukas. "High Wind Speed Regime." In The Near-Surface Layer of the Ocean, 397–450. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7621-0_6.
Full textMao, Rui, Cuicui Shi, Qi Zong, Xingya Feng, Yijie Sun, Yufei Wang, and Guohao Liang. "Mapping Wind Speed Changes." In Atlas of Global Change Risk of Population and Economic Systems, 67–83. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6691-9_4.
Full textTambke, J., J. A. T. Bye, Bernhard Lange, and J. O. Wolff. "Wind Speed Profiles above the North Sea." In Wind Energy, 27–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-33866-6_5.
Full textLindau, Ralf. "Scalar Wind Speed plus Resultant Wind Vector." In Climate Atlas of the Atlantic Ocean, 201–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-59526-4_20.
Full textWood, David. "Starting and Low Wind Speed Performance." In Small Wind Turbines, 101–17. London: Springer London, 2011. http://dx.doi.org/10.1007/978-1-84996-175-2_6.
Full textBatill, Stephen M., and Robert C. Nelson. "Low Speed, Indraft Wind Tunnels." In Lecture Notes in Engineering, 25–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83831-6_2.
Full textBearce, Stephanie, and Eliza Bolli. "Science Lab Measure Wind Speed." In Twisted True Tales from Science Disaster Discoveries, 125–27. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003239260-32.
Full textYu, Kegen. "Sea Surface Wind Speed Estimation." In Navigation: Science and Technology, 125–62. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0411-9_6.
Full textKasperski, Michael. "Estimation of the Design Wind Speed." In Advanced Structural Wind Engineering, 27–58. Tokyo: Springer Japan, 2013. http://dx.doi.org/10.1007/978-4-431-54337-4_2.
Full textConference papers on the topic "Wind speed"
Rosmin, N., S. J. Watson, and M. Tompson. "Speed Control at Low Wind Speeds for a Variable Speed Fixed Pitch Wind Turbine." In Modelling, Identification, and Control. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.675-119.
Full textErwin, Wahyu Nur Hidayat, and Slamet Wiyono. "Low Wind Speed Wind Tunnel Performance Test: Uniformity Wind Speed in Test Section." In Conference on Broad Exposure to Science and Technology 2021 (BEST 2021). Paris, France: Atlantis Press, 2022. http://dx.doi.org/10.2991/aer.k.220131.069.
Full textMadsen, Helge A., Torben J. Larsen, Gunner C. Larsen, and Kurt S. Hansen. "Wake flow characteristics at high wind speed." In 34th Wind Energy Symposium. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-1522.
Full textElliott, Heather A., David J. McComas, William H. Matthaeus, Carl J. Henney, M. Maksimovic, K. Issautier, N. Meyer-Vernet, M. Moncuquet, and F. Pantellini. "Solar Wind Speed And Temperature Relationship." In TWELFTH INTERNATIONAL SOLAR WIND CONFERENCE. AIP, 2010. http://dx.doi.org/10.1063/1.3395974.
Full textWatanabe, H., M. Kojima, Y. Kozuka, Y. Yamauchi, and H. Misawa. "Source regions of very low speed solar winds." In Proceedings of the eigth international solar wind conference: Solar wind eight. AIP, 1996. http://dx.doi.org/10.1063/1.51371.
Full textAhluwalia, H. S., S. S. Xue, M. M. Fikani, and P. R. Gazis. "Long term variability of the solar wind speed." In Proceedings of the eigth international solar wind conference: Solar wind eight. AIP, 1996. http://dx.doi.org/10.1063/1.51429.
Full textOhmi, Tomoaki. "Evidences for Low-speed Streams from Small Coronal Hole." In SOLAR WIND TEN: Proceedings of the Tenth International Solar Wind Conference. AIP, 2003. http://dx.doi.org/10.1063/1.1618560.
Full textYamashita, Masahiro. "Radial dependence of propagation speed of solar wind disturbance." In SOLAR WIND TEN: Proceedings of the Tenth International Solar Wind Conference. AIP, 2003. http://dx.doi.org/10.1063/1.1618702.
Full textGrall, R. R., Wm A. Coles, and M. T. Klinglesmith. "Observations of the solar wind speed near the sun." In Proceedings of the eigth international solar wind conference: Solar wind eight. AIP, 1996. http://dx.doi.org/10.1063/1.51353.
Full textHafidi, Ghizlane, and Jonathan Chauvin. "Wind speed estimation for wind turbine control." In 2012 IEEE International Conference on Control Applications (CCA). IEEE, 2012. http://dx.doi.org/10.1109/cca.2012.6402654.
Full textReports on the topic "Wind speed"
Avara, Elton P., and Bruce T. Miers. Surface Wind Speed Distributions. Fort Belvoir, VA: Defense Technical Information Center, June 1992. http://dx.doi.org/10.21236/ada253268.
Full textSimley, E., and L. Y. Pao. LIDAR Wind Speed Measurements of Evolving Wind Fields. Office of Scientific and Technical Information (OSTI), July 2012. http://dx.doi.org/10.2172/1047935.
Full textTodd E. Mills and Judy Tatum. Hi-Q Rotor - Low Wind Speed Technology. Office of Scientific and Technical Information (OSTI), January 2010. http://dx.doi.org/10.2172/971423.
Full textLauw, Hinan K., Claus H. Weigand, and Dallas A. Marckx. Variable-Speed Wind System Design : Final Report. Office of Scientific and Technical Information (OSTI), October 1993. http://dx.doi.org/10.2172/10125834.
Full textLevitan, Marc. Tornado Wind Speed Maps for Building Design:. Gaithersburg, MD: National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.tn.2242.
Full textPreus, Robert W., and DOE Project Officer - Keith Bennett. ARE660 Wind Generator: Low Wind Speed Technology for Small Turbine Development. Office of Scientific and Technical Information (OSTI), April 2008. http://dx.doi.org/10.2172/927424.
Full textGhee, Terence A., and Nigel J. Taylor. Low-Speed Wind Tunnel Tests on a Diamond Wing High Lift Configuration. Fort Belvoir, VA: Defense Technical Information Center, June 2000. http://dx.doi.org/10.21236/ada377908.
Full textJohnson, K. E. Adaptive Torque Control of Variable Speed Wind Turbines. Office of Scientific and Technical Information (OSTI), August 2004. http://dx.doi.org/10.2172/15008864.
Full textSchaub, Jr, and William R. Wind-Speed Forecasting Study for Westover AFB, Massachusetts. Fort Belvoir, VA: Defense Technical Information Center, December 1991. http://dx.doi.org/10.21236/ada247545.
Full textConnell, J. R., and R. L. George. Using a new characterization of turbulent wind for accurate correlation of wind turbine response with wind speed. Office of Scientific and Technical Information (OSTI), September 1987. http://dx.doi.org/10.2172/6060322.
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