Dissertations / Theses on the topic 'Wind speed data'
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彭運佳 and Wan-kai Pang. "Time series analysis of meteorological data: wind speed and direction." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1993. http://hub.hku.hk/bib/B30425979.
Full textPang, Wan-kai. "Time series analysis of meteorological data : wind speed and direction /." [Hong Kong] : University of Hong Kong, 1993. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13456933.
Full textGolya, David Andrew. "Statistical methods for maxima and means." Thesis, University of Sheffield, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389758.
Full textVILLANUEVA, JUAN MOISES MAURICIO. "DATA FUSION OF TIME OF FLIGHT TECHNIQUES USING ULTRASONIC TRANSDUCERS FOR WIND SPEED MEASUREMENT." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=32625@1.
Full textCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
PROGRAMA DE EXCELENCIA ACADEMICA
A medição da velocidade de fluidos tem relevância considerável em aplicações industriais e científicas, nas quais medições com baixa incerteza são geralmente requeridas. Nesta tese, tem-se como objetivo projetar e modelar um sistema de medição de velocidade de vento utilizando fusão de dados das informações dos tempos de trânsito obtidas pelas técnicas de detecção de limiar e diferença de fase. Para este propósito, este trabalho é composto por duas partes principais. Na primeira parte, apresenta-se uma análise da propagação de incertezas das técnicas de detecção de limiar e diferença de fase considerando duas estruturas para a medição da velocidade do vento, e faz-se a comparação das faixas de medição e suas incertezas associadas para cada estrutura de medição. Na segunda parte deste trabalho, faz-se um estudo das técnicas de fusão de dados aplicadas a instrumentação e medição, identificandose duas técnicas principais baseadas em: (a) estimação de máxima probabilidade (MLE – Maximum Likelihood Estimation), (b) relação de compatibilidade fuzzy e operadores OWA (Order Weighted Average) com agregação parcial. Em seguida, estas técnicas de fusão são aplicadas para a estimação do tempo de trânsito, considerando-se várias medições independentes do tempo de trânsito obtidas pelas técnicas de detecção de limiar e diferença de fase. Finalmente, realiza-se uma análise da incerteza quantificando-se a incerteza de cada medição sobre o resultado final de fusão. Apresenta-se um estudo de caso englobando estas duas partes do trabalho, desenvolvendo-se o projeto e modelagem de um instrumento de medição de velocidade do vento com baixa incerteza, considerando-se as incertezas associadas, e o uso de técnicas adequadas de fusão de dados para prover informações com maior exatidão e confiabilidade. Resultados experimentais são realizados em um túnel de vento de baixa velocidade com o objetivo de verificar a consistência dos estudos teóricos apresentados.
Flow speed measurement has considerable relevance in industrial and scientific applications, where measurements with low uncertainty are required. In this work, a system for wind speed measurement using ultrasonic transducers is designed and modelled. This system makes use of data fusion techniques for the time-of-flight estimation, combining independent information provided by the threshold detection and phase difference methods. For this purpose, this work consists of two main parts. The first part presents an analysis of uncertainty and error propagation concerning the threshold detection and phase difference techniques and considering two structures for the wind speed measurement. Measurement ranges are associated uncertainties are then compared for each of those estrutures. In the second part of this work, data fusion techniques applied to instrumentation and measurement are studied; two main techniques are singled out: (a) Maximum Likelihood Estimation (MLE), (b) Fuzzy compatibility relation and Order Weighted Average (OWA) operators with partial aggregation. These fusion techniques are then applied to the time-of-flight estimation, by considering several independent measurements obtained through the threshold detection and phase difference techniques. Finally, uncertainty analysis is carried out by quantifying the influence of each independent measurement on the global fusion result. A case study is also presented, where an instrument for wind speed measurements with low uncertainty is designed and modelled. Appropriate techniques of data fusion aimed at improving accuracy and realiability are considered. Experiments are performed in a wind tunnel in order to verify the consistency of the results in view of the theoretical studies.
Broughton, Benjamin Albert. "Low speed wind tunnel testing and data correction methods for aircraft models in ground effect." Diss., University of Pretoria, 1999. http://hdl.handle.net/2263/24292.
Full textDissertation (MEng)--University of Pretoria, 1999.
Mechanical and Aeronautical Engineering
unrestricted
Moubarak, Roger. "Wind Speed Prediction using Global and Regional Based Virtual Towers in CFD Simulations." Thesis, Högskolan på Gotland, Institutionen för kultur, energi och miljö, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-217093.
Full textMoodley, Kirshnee. "The fitting of statistical distributions to wind data in coastal areas of South Africa." Thesis, Nelson Mandela Metropolitan University, 2013.
Find full textKahal, Siddhant. "Bird Abundance at Bird Feeders in Response to Temperature, Wind Speed and Precipitation During the Winter Season." DigitalCommons@CalPoly, 2018. https://digitalcommons.calpoly.edu/theses/1918.
Full textWannberg, Veronica Elaine. "Quantitative Uncertainty of Chemical Plume Transport in Low Wind Speeds Using Measured Field Data and Stochastic Modeling." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2570.pdf.
Full textLiu, Yueh-Hua, and 劉岳樺. "Analyses of Wind Speed Data in a Megalopolis and its Feasible Wind Turbine." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/62320266949123459355.
Full text清雲科技大學
電機工程研究所
95
Wind speed observations of Ching Yun University in Jhong-Li are used to investigate the wind characters inside a megalopolis. Both the graphical and maximum likelihood methods are applied to estimate the shape and the scale factors of the Weibull wind speed distribution function. It is found that the graphical method always overestimate the occurrence probability of wind speed less than 2~3m/s. Based on the obtained wind speed distribution, the related capacity factors and normalized average power are analyzed to survey the optimum parameters of wind turbine generators. Our result suggests that the wind generator can obtain the maximum efficiency when the rated wind speed is 8~11m/s.
Cheng, Shu-chu, and 鄭淑珠. "Analysis of Wind Speed and Wind Direction Distribution Of Taiwan Area-using the 1951-2001 Data." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/84659165706106113528.
Full text國立海洋大學
河海工程學系碩士在職專班
90
TAIWAN is an island. Its west shores are facing TAIWAN strait Its east shores are facing pacific ocean Although TAIWAN is located within the subtropical area, however, it is relatives warm all year around. But since central mountain range is through from north to south, it becomes a natural boundary. It increases the complexity of a rapid weather change. As a result of variety of seasonal change, it creates a special weather phenomenon. Not only does it possess a typical characteristic of an island’s weather, but also its special territory shape generates a valley breeze. It impacts greatly on its atmospheric boundary layer, an evolution of mid-scale atmospheric system and its delivery of pollutants. Meteorological science is a study for the purpose of understanding a weather change in the natural world. What we hare already known, a weather change can directly impact on the economy & human life. Some bad weather can cause great damages to the human life, agricultural & industrial production. Central weather bureau prepares & announces weather forecasting daily through radio & TV broadcasting system, newspapers & other telephone system so that we can utilize weather conditions effectively. Thus, we can take advantage of preventing &overcoming unfavorable weather elements. In addition, we can enjoy life in the great nature. This is the reason why we need to pursue a continuous study of meteorological science in order to better quality life on the environment. This study utilizes wind data of nine meteorological stations of the central weather bureau. These data primarily include wind velocity & wind direction from 1951 to 2001. Wind velocity divides into extreme velocity & ordinary velocity. Extreme wind velocity is used to study the basic design wind speed & the probability distribution of wind direction for the maximum fifty years return period. Ordinary wind velocity is to analyze average wind velocity, main wind direction and its percentage of probability of relative occurrence of each wind direction. This analysis can be served as a reference for the building structural design, the selection of wind power plant location and the other application.
Hsu, Wei-Chih, and 徐偉誌. "Applications of Gaussian Process Models in Regression Analyses and Stochastic Simulations of Wind Speed Data." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/54467348074216487761.
Full text國立臺灣科技大學
營建工程系
96
Wind speed prediction and simulation are ardent topics all the time because of its stochastic properties and significance in wind engineering. Several numerical techniques, e.g. auto-regressive moving average model, artificial intelligence technique etc., were developed for solving the related problems in recent years. In this research, a probabilistic model, named Gaussian process model, is proposed to consider the uncertainties of wind speed. Moreover, Bayesian analysis and transitional Markov Chain Monte Carlo method are employed to find the model hyper-parameters. Three examples for different issues are presented to demonstrate its practicability and satisfactory interpolation performance. Furthermore, the results also show that the various statistic properties, including exceedance probability, data correlation and distribution, of simulated wind speed are consistent with them of the training wind speed data.
Hu, Chia-Ming, and 胡家銘. "Investigation on probability characteristics of different averaging-time velocity data and its effect on design wind speed prediction." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/4cc34p.
Full text淡江大學
土木工程學系碩士班
106
Taiwan is in the geographical position of multiple typhoons and earthquakes. The design of high-rise buildings must not only consider earthquake resistance, but also the impact of wind on structures. Taiwan''s current building wind resistance design specification estimates the design wind speed value based on the 10-minute average wind speed during the 50-year regression period. However, the average wind speed time used in different countries is different. There should be a constant conversion mode between different averaging time. For example, Durst Curve is used to calculate the wind speed value conversion at different averaging time. This study first used the five stations in Japan, namely Hachinohe, Tokyo, Nagoya, Osaka, and Kagoshima. The statistics were collected from the typhoon within 300 kilometers of the station from 2001 to 2007, and calculated. Each of the basic statistical characteristics of the typhoon''s mean, standard deviation, skewness, and kurtosis, and then combine the statistical characteristics of all the selected typhoons to calculate the statistical characteristics of the four regions, and use MATLAB to generate Gaussian distribution random numbers, and Using the non-Gaussian transformations proposed by Kwon and Kareem and Kanda and Lo, and the Weber simulation, a simulated extremum of the simulated typhoon is generated, which is the maximum simulated wind speed. A cumulative probability density distribution function curve is made using every hundred extreme values. Repeat one hundred sets of distribution curves and take the average line as the cumulative probability density distribution function curve representing the characteristics of this station, and observe its non-Gaussian distribution. The tail characteristics are classified into Gumbel distribution, Weibull distribution, and Frechet distribution, and the tail characteristics are discussed. Then, using the average time length in the Durst curve formula, the average wind speed conversion formula is converted into a 10-minute average time simulated wind speed and a 60-minute average time simulated wind speed converted into a 10-minute average time theoretical wind speed. The relationship between the theoretical wind speed of the 10-minute average time after the theoretical formula conversion and the simulated 10 minute average time simulated wind speed. In order to understand the influence of non-Gaussian on the average time conversion, Gaussian extremum simulations were performed for the typhoon mean wind speed values and standard deviations of each station, and compared with non-Gaussian results. The final list identifies the percentage of conversion error for different regression periods and indicates the reasons for the instability that may occur with the Durst Curve.
Holmes, Robert Emery. "An investigation into the use of automatic weather station data for the forecasting of high wind speed events at Pegasus Runway, Antarctica." 1994. http://catalog.hathitrust.org/api/volumes/oclc/32910496.html.
Full textTypescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 111-113).
Yum, Sang Guk. "Extreme Storm Surge Return Period Prediction Using Tidal Gauge Data and Estimation of Damage to Structures from Storm-Induced Wind Speed in South Korea." Thesis, 2019. https://doi.org/10.7916/d8-44c4-3150.
Full textMatsuda, Miho. "A case study of the distribution of high wind speeds in the Greater Victoria area using wind data from the School-Based Weather Station Network." Thesis, 2014. http://hdl.handle.net/1828/5341.
Full textGraduate
0368
mmatsuda@uvic.ca