Author
David Wood
Other affiliations: University of Newcastle, University of Alberta, Novosibirsk State University
Bio: David Wood is an academic researcher from University of Calgary. The author has contributed to research in topics: Turbine & Vortex. The author has an hindex of 30, co-authored 169 publications receiving 2876 citations. Previous affiliations of David Wood include University of Newcastle & University of Alberta.
Topics: Turbine, Vortex, Wind power, Small wind turbine, Wind speed
Papers published on a yearly basis
Papers
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TL;DR: In this article, a self-recurrent wavelet neural network (SRWNN) is applied as the forecast engine for short-term load forecasting in a micro-grid, and the Levenberg-Marquardt learning algorithm is adapted to train the SRWNN.
152 citations
TL;DR: In this paper, the authors measured wall pressure and surface shear stress under a plane, two-dimensional, turbulent jet impinging normally onto a flat surface and found that the wall pressure distributions are nearly Gaussian, independent of Reynolds number, and closely balance the momentum flux from the jet nozzle as H D varies.
144 citations
TL;DR: This paper analyses the challenges of solar power forecasting and then presents a similar day-based forecasting tool to do 24-h-ahead forecasting for small-scale solar power output forecasting.
Abstract: Because of the rapid growth of small-scale solar electricity generation over the past few years, forecasting solar power output is becoming more important. However, changes in weather conditions cause solar power generation to be highly volatile. This paper analyses the challenges of solar power forecasting and then presents a similar day-based forecasting tool to do 24-h-ahead forecasting for small-scale solar power output forecasting.
135 citations
Book•
18 Jul 2011
TL;DR: In this article, the IEC Simple Load Model for Small Wind Turbines is used to estimate the lift, drag, and circulation of a small wind turbine, and then the wind speed is measured.
Abstract: 1. Introduction to Wind Turbine Technology.- 2. Control Volume Analysis for Wind Turbines.- 3. Blade Element Theory for Wind Turbines.- 4. Aerofoils: Lift, Drag, and Circulation.- 5. Blade Element Calculations.- 6. Starting and Low Wind Speed Performance.- 7. Blade Design, Manufacture, and Testing.- 8. The Unsteady Aerodynamics of Turbine Yaw and Over-speed Protection.- 9. Using the IEC Simple Load Model for Small Wind Turbines.- 10. Tower Design and Manufacture.- 11. Generator and Electrical System.- 12. Site Assessment and Installation.
126 citations
TL;DR: A data-driven methodology is proposed to estimate the power generation of invisible solar power sites by using the measured values from a small number of representative sites, composed of a data dimension reduction engine and a mapping function.
Abstract: Roof-top solar photovoltaic systems are normally invisible to system operators, meaning that their generated power is not monitored. If a significant number of systems are installed, invisible solar power could significantly alter the net load in power systems. In this paper, a data-driven methodology is proposed to estimate the power generation of invisible solar power sites by using the measured values from a small number of representative sites. The proposed methodology is composed of a data dimension reduction engine and a mapping function. A number of established methods for reducing the dimension of large-scale data is investigated, and a hybrid method based on ${k}$ -means clustering and principal component analysis is proposed. The output of this block provides a small subset of sites whose measured data are used in the mapping function. We have implemented several mapping functions to estimate the total generation power of all sites based on the measured output of the selected subset of sites. Numerical results based on data from California’s power system are presented.
108 citations
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Journal Article•
9,185 citations
Posted Content•
TL;DR: The process of innovation must be viewed as a series of changes in a complete system not only of hardware, but also of market environment, production facilities and knowledge, and the social contexts of the innovation organization as discussed by the authors.
Abstract: Models that depict innovation as a smooth, well-behaved linear process badly misspecify the nature and direction of the causal factors at work. Innovation is complex, uncertain, somewhat disorderly, and subject to changes of many sorts. Innovation is also difficult to measure and demands close coordination of adequate technical knowledge and excellent market judgment in order to satisfy economic, technological, and other types of constraints—all simultaneously. The process of innovation must be viewed as a series of changes in a complete system not only of hardware, but also of market environment, production facilities and knowledge, and the social contexts of the innovation organization.
2,154 citations
TL;DR: In this article, the aerodynamic properties of wind turbine wakes are studied, focusing on the physics of power extraction by wind turbines, and the main interest is to study how the far wake decays downstream in order to estimate the effect produced in downstream turbines.
1,161 citations
TL;DR: The Structure of Turbulent Shear Flow by Dr. A.Townsend as mentioned in this paper is a well-known work in the field of fluid dynamics and has been used extensively in many applications.
Abstract: The Structure of Turbulent Shear Flow By Dr. A. A. Townsend. Pp. xii + 315. 8¾ in. × 5½ in. (Cambridge: At the University Press.) 40s.
1,050 citations