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E-book
Author Zhang, Matthew Huaiquan, author

Title Wind resource assessment and micro-siting : science and engineering / Matthew Huaiquan Zhang
Published Singapore : John Wiley & Sons Singapore Pte. Ltd., 2015

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Description 1 online resource
Contents Cover; Title Page; Copyright; Contents; Preface; Introduction; Acknowledgments; About the Author; List of Symbols; Chapter 1 Introduction; 1.1 Wind Resource Assessment as a Discipline; 1.2 Micro-siting Briefing; 1.3 Cascade of Wind Regime; 1.3.1 Global Scale Wind Regime; 1.3.2 Synoptic Scale Wind Regime; 1.3.3 Meso-scale Wind Regime; 1.3.4 Local Scale Wind Regime; 1.4 Uncertainty of Wind Resource; 1.5 Scope of the Book; References; Chapter 2 Concepts and Analytical Tools; 2.1 Surface Roughness and Wind Profile; 2.1.1 Roughness Length; 2.1.2 Vertical Wind Profile; 2.1.3 Internal Boundary Layer
2.1.4 Roughness Change Model2.1.5 Displacement Height; 2.1.6 Wind Shear; 2.2 Speed-up Effect of Terrain; 2.2.1 Horizontal Speed-up Profile; 2.2.2 Vertical Speed-up on Hill Top; 2.2.3 Orographic Categorisation of Terrain; 2.2.4 Ruggedness Index; 2.3 Shelter Effect of Obstacles; 2.3.1 Reduced Wind Speed; 2.3.2 Increased Turbulence Intensity; 2.4 Summary; References; Chapter 3 Numerical Wind Flow Modelling; 3.1 Modelling Concept Review; 3.1.1 Wind Flow Concepts; 3.1.2 Governing Equations; 3.1.3 Meshing the Computational Domain; 3.2 Linearised Numerical Flow Models; 3.2.1 Jackson-Hunt Model
3.2.2 WAsP Model: The Principle3.2.3 WAsP Model: Limitations; 3.2.4 WAsP Model: Improving the Results; 3.3 Mass-Consistent Models; 3.4 CFD Models; 3.4.1 Meteodyn WT and WindSim; 3.4.2 Validation of CFD models; 3.5 Meso Scale NWP Models; 3.6 Inherent Uncertainties in Wind Flow Modelling; 3.7 Summary; References; Chapter 4 Wind Park Physics and Micro-siting; 4.1 Wind Power Density; 4.2 Wind Power Conversion; 4.2.1 Betz's Limit; 4.2.2 Power Coefficient; 4.2.3 Thrust Coefficient; 4.2.4 Wind Turbine Power Curve; 4.2.5 Power Curve Adjustment; 4.3 Wind Turbine Wake Effects
4.3.1 Analytical Structure of Wake4.3.2 Reduced Velocity Wake Models; 4.3.3 Added Turbulence Wake Models; 4.3.4 Deep Array Wake Models; 4.3.5 Wake Effects in Complex Terrain; 4.4 Wind Turbine Micro-siting; 4.4.1 Park Efficiency; 4.4.2 Capacity Factor; 4.4.3 Site-Specific Wind Conditions; 4.4.4 Wind Turbine Selection; 4.4.5 Site Survey; 4.4.6 Wind Sector Management; 4.5 Summary; References; Chapter 5 Wind Statistics; 5.1 Statistics Concepts Review; 5.1.1 Random Variables; 5.1.2 Sample Mean and Standard Deviation; 5.1.3 Probability Density Distribution; 5.2 Wind Data Time Series
5.2.1 Mean Wind Speed5.2.2 Turbulence Intensity; 5.2.3 Wind Direction; 5.3 Mean Wind Speed of the Whole Time Series; 5.4 Weibull Distribution; 5.4.1 Weibull Probability Density Function; 5.4.2 Weibull Cumulative Distribution Function; 5.4.3 Rayleigh Distribution; 5.5 Estimating Weibull Parameters; 5.5.1 Linear Regression Method; 5.5.2 Mean-Standard Deviation Method; 5.5.3 Maximum Likelihood Estimate Method; 5.5.4 Medians Method; 5.5.5 Power Density Method; 5.5.6 Quality of the Weibull Fit; 5.6 Extreme Wind Statistics; 5.6.1 Independent Extreme Wind Events; 5.6.2 Gumbel Method
Summary Covers all the key areas of wind resource assessment technologies from an engineer's perspective -Focuses on wind analysis for wind plant siting, design and analysis -Addresses all aspects from atmospheric boundary layer characteristics, to wind resource measurement systems, uncertainties in measurements, computations and analyses, to plant performance -Covers the basics of atmospheric science through to turbine siting, turbine responses, and to environmental impacts -Contents can be used for research purposes as well as a go-to reference guide, written from the perspective of a hands-on engineer -Topic is of ongoing major international interest for its economic and environmental benefits
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (EBSCO, viewed May 26, 2015)
Subject Wind power.
Wind power plants.
Renewable energy sources.
Renewable Energy
wind power.
wind power plants.
TECHNOLOGY & ENGINEERING -- Mechanical.
Renewable energy sources
Wind power
Wind power plants
Form Electronic book
ISBN 9781118900123
111890012X
9781118900116
1118900111
9781118900130
1118900138