139 research outputs found
Celebrity\u27s Fashion and Beauty Lines Influence on Consumer\u27s Choice
The problem of this study was to determine males\u27 and females\u27 consumer behavior toward celebrity fashion and beauty lines
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Status of Wind-Diesel Applications in Arctic Climates: Preprint
The rising cost of diesel fuel and the environmental regulation for its transportation, use, and storage, combined with the clear impacts of increased arctic temperatures, is driving remote communities to examine alternative methods of providing power. Over the past few years, wind energy has been increasingly used to reduce diesel fuel consumption, providing economic, environmental, and security benefits to the energy supply of communities from Alaska to Antarctica. This summary paper describes the current state of wind-diesel systems, reviews the operation of wind-diesel plants in cold climates, discusses current research activities pertaining to these systems, and addresses their technical and commercial challenges. System architectures, dispatch strategies, and operating experience from a variety of wind-diesel systems in Alaska will be reviewed. Specific focus will also be given to the control of power systems with large amounts of wind generation and the complexities of replacing diesel engine waste heat with excess wind energy, a key factor in assessing power plants for retrofit. A brief overview of steps for assessing the viability of retrofitting diesel power systems with wind technologies will also be provided. Because of the large number of isolated diesel minigrids, the market for adding wind to these systems is substantial, specifically in arctic climates and on islands that rely on diesel-only power generation
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Development and Testing of Commercial Prototype Wind-Electric Battery Charging Station
The technical aspects of charging 12-volt (V) batteries with a small permanent magnet wind-turbine generator suggested that a special battery-charging station be developed. Scientists at the National Renewable Energy Laboratory (NREL) conducted research on several possible configurations of wind-electric battery-charging stations. Based on preliminary modeling and test results, the optimal system for this application was the one with individual charge controllers. This paper presents the development efforts and test results of a commercial prototype wind-electric battery-charging station designed and manufactured by Ascension Technology, a Division of Applied Power Corporation (APC). The system, which is powered by a 3-kilowatt (kW) wind turbine, was tested at the National Wind Technology Center (NWTC). The paper discusses control strategies to improve system performance, and includes recommendations for system integrators based on the testing experience accumulated at the NWTC
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Eastern Wind Integration and Transmission Study -- Preliminary Findings: Preprint
This paper reviews the Eastern Wind Integration and Transmission Study, the development of wind datasets, the transmission analysis, and the results of wind integration analysis for four scenarios
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Small Wind Turbine Testing and Applications Development
Small wind turbines offer a promising alternative for many remote electrical uses where there is a good wind resource. The National Wind Technology Center (NWTC) of the National Renewable Energy Laboratory helps further the role that small turbines can play in supplying remote power needs. The NWTC tests and develops new applications for small turbines. The NWTC also develops components used in conjunction with wind turbines for various applications. This paper describes wind energy research at the NWTC for applications including battery charging stations, water desalination/purification, and health clinics. Development of data acquisition systems and tests on small turbines are also described
Prediction of second neurological attack in patients with clinically isolated syndrome using support vector machines
The aim of this study is to predict the conversion from clinically isolated syndrome to clinically definite multiple sclerosis using support vector machines. The two groups of converters and non-converters are classified using features that were calculated from baseline data of 73 patients. The data consists of standard magnetic resonance images, binary lesion masks, and clinical and demographic information. 15 features were calculated and all combinations of them were iteratively tested for their predictive capacity using polynomial kernels and radial basis functions with leave-one-out cross-validation. The accuracy of this prediction is up to 86.4% with a sensitivity and specificity in the same range indicating that this is a feasible approach for the prediction of a second clinical attack in patients with clinically isolated syndromes, and that the chosen features are appropriate. The two features gender and location of onset lesions have been used in all feature combinations leading to a high accuracy suggesting that they are highly predictive. However, it is necessary to add supporting features to maximise the accuracy. © 2013 IEEE
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Comparison Between Field Data and NASA Ames Wind Tunnel Data
The objective of this analysis is to compare the measured data from the NASA Ames wind tunnel experiment to those collected in the field at the National Wind Technology Center (NWTC) with the same turbine configuration. The results of this analysis provide insight into what measurements can be made in the field as opposed to wind tunnel testing
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