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2010 – Trondheim, Norway European Academmy of Wind Energy 6th PhD Seminar on ceedings o Wind Energgy in Europe NTNU Trondheim, Norway 30th September and 1st October 2010 Seminar Pr NTNU EAWE y of Wind Energy y e and e Technology c m European Acade n University of Scien n Norwegia European Academy of Wind Energy Norwegian University of Science and Technology Seminar Proceedings 6th EAWE PhD Seminar on Wind Energy in Europe Norwegian University of Science and Technology (NTNU) 30th September and 1st October 2010 Trondheim, Norway Organised by NTNU for European Academy of Wind Energy (EAWE) Trondheim, September 2010 European Academy of Wind Energy Norwegian University of Science and Technology EAWE Steering Committee President: Mr. Félix Avia Aranda National Renewable Energy Centre (CENER), Spain Vice President: Prof. Peter Tavner Durham University, UK Secretary: Maren Wagner Local Organising Committee Chair: Prof. Geir Moe NTNU, Norway Editors: Mr. Daniel Zwick NTNU, Norway Ms. Marit Irene Kvittem NTNU, Norway Mr. Raymundo Torres Olguin NTNU, Norway 1st Edition, Trondheim, Norwegian University of Science and Technology, 2010 Printed: 150 copies Press date: September 2010 © Copyright 2010 by paper authors Contents 1 Session 1 - Introduction to Wind Energy 1 1.1 Hybrid life-cycle assessment of wind power . .3 1.2 Wind energy research in the age of massively parallel computers . .7 1.3 The correlation between Wind Turbine Turbulence and Failure - Pre- liminary Work . 11 1.4 Forecasting of wind turbine loads based on SCADA data . 17 2 Session 2 - Control and Design of Wind Turbines 23 2.1 Optimal Operation Planning for Wind Farms . 25 2.2 Yaw stability of a free-yawing 3-bladed downwind wind turbine . 29 2.3 Aerodynamics of Diffuser-Augmented Wind Turbines . 33 3 Session 3A - Rotor Design I 37 3.1 Bond Graph Modelling of Wind Turbine Rotor . 39 3.2 Modelling the Aerodynamics of Vertical-Axis Wind Turbines in Urban Wind Conditions . 43 3.3 Comparative Study of Distributed Active Load Control Concepts for Wind Turbine Blades . 47 3.4 Root Flow Aerodynamic Investigation of a HAWT . 53 4 Session 3B - Dynamic Loading of Support Structure, Blades and Drive Train 57 4.1 Effect of Foundation Modeling Methodology on the Dynamic Re- sponse of Offshore Wind Turbine Support Structures . 59 4.2 Sizing Process of a Semi-Submersible for Offshore Wind Generation 65 i 4.3 Evaluation of Dual Axis Resonant Testing of Wind Turbine Blades . 70 4.4 Simulation and verification of the interaction of the dynamics of the all system with the loading of the main components of wind turbines . 74 5 Session 4A - Rotor Design II 79 5.1 Multidisciplinary Optimization of Flatback Airfoils for Large Wind Tur- bine Blades . 81 5.2 Unsteady Quasi 3D Aerodynamic Code for Analyzing Dynamic Flap and Sensor Response . 85 5.3 Stochastic modelling of lift dynamics in turbulent inflows . 86 5.4 Conceptual Design of a Stall-Regulated Rotor for a Deepwater Off- shore Wind Turbine . 90 6 Session 4B - Maintenance of Offshore Wind Turbines 95 6.1 Analysis framework for the reliability and maintainability of offshore wind Turbines . 97 6.2 Risk based maintenance of offshore wind turbines using Bayesian networks................................. 101 6.3 Remote Presence, Cost-Effective Robotic Inspection and Mainte- nance of Offshore Wind Turbines . 105 6.4 Condition monitoring methods for offshore wind turbines . 109 7 Session 5A - Wind Field Measurements and Simulations I 111 7.1 Multifractal Analysis and Simulation of Wind Energy Fluctuations . 113 7.2 Intermittent Structures in Atmospheric Wind Fields . 118 7.3 Turbulent Flow over Hills and a Call for Guidelines in Wind Tunnel Simulation . 122 7.4 Physical Modelling of a Wind Turbine . 127 8 Session 5B - Grid Integration of Wind Farms 131 8.1 A North Sea Super Grid for Offshore Wind Integration . 133 8.2 Simulation of the Impact of Larger Offshore Wind Farm on System Stability . 141 8.3 Dynamic Modelling of Wind Turbine and Power System for Fault Ride-through Analysis . 145 8.4 Large Scale energy storage for a 100% renewable electricity system in Germany . 149 9 Session 6A - Wind Field Measurements and Simulations II 155 ii 9.1 The 2D lid-driven cavity - Validation of CFD code to model non- Neutral Atmospheric Boundary Layer Conditions . 157 9.2 Forest Winds in Complex Terrain . 161 9.3 Physical and Numerical Modelling of Flow over a Real Complex Terrain165 9.4 Modelling of atmospheric boundary layer: Generation of shear profile in wind tunnel . 170 10 Session 6B - Electrical Power Production and Transmission 181 10.1 Wet Mateable Connectors for Flexible Offshore Installations . 183 10.2 The Effect of Wind Energy . 187 10.3 Analysis of Switching Transients in Offshore Wind Parks with Focus on Prevention of Destructive Effects . 188 10.4 Worst Asymmetrical Short-Circuit Current . 193 11 Postersession P1 - Wind Field Measurements and Simulations 203 11.1 Flow Measurements in complex terrain using a 3D LIDAR Wind- scanner . 205 11.2 Lidar (Light Detection and Ranging) Measurement uncertainty in com- plex terrain . 209 11.3 Yaw Error Estimation Using Spinner Based LIDAR . 214 11.4 MCMC simulation of wind speed time series . 218 11.5 New Model Development Concerning Turbulence and Wakes . 223 11.6 Assessing wind energy potential using the high resolution meso- scale model RAMS . 227 11.7 Simulation and Prediction of Wakes and Wake Interaction in Wind Farms .................................. 231 11.8 Downscaling of extreme wind using CFD . 235 12 Postersession P2 - Electrical Operation, Structural Design and Mainte- nance 239 12.1 State of the Art on Generator Technology for Wind Power Plants . 241 12.2 Contribution to Study of Doubly-Fed Induction Generators: Opera- tion under Network Disturbances . 245 12.3 A model based controller for Hybrid HVDC using in Offshore Wind Farms .................................. 249 12.4 Loads and dynamics in lattice tower support structures for offshore wind turbines . 255 12.5 Novel coating system for rotating parts in offshore wind turbines . 259 iii 13 Postersession P3 - Rotor Design, Control and General Aspects 265 13.1 Root flapwise moment on downwind and upwind rotors with truss and tubular towers . 267 13.2 Models for global and local loads on wind turbines . 272 13.3 A numerical and analytical investigation of blade fatigue loads on the NREL 5MW wind turbine . 276 13.4 A Framework for Integrated Control System and Aeroelastic Design of Wind Turbines . 280 13.5 Temporary Rotor Inertial Control of Wind Turbine to Support the Grid Frequency Regulation . 284 13.6 Dynamic analysis of wind turbines from an integrated perspective . 289 13.7 Space-related conflicts over offshore wind farms . 295 iv Part 1 Session 1 - Introduction to Wind Energy • Hybrid life-cycle assessment of wind power Anders Arvesen, NTNU • Wind energy research in the age of massively parallel computers Michael Muskulus, NTNU • The correlation between Wind Turbine Turbulence and Failure-Preliminary Work Peter Tavner, Durham University • Forecasting of wind turbine loads based on SCADA data Claudia Hofemann, TU Delft 1 2 European Academy of Wind Energy Norwegian University of Science and Technology Hybrid life-cycle assessment of wind power Anders Arvesen, Edgar Hertwich Industrial Ecology Programme, Norwegian University of Science and Technology ABSTRACT Typically foreseen paths to renewable energy supply imply that a massive expansion of the wind power industry and its supply network will take place in coming decades. Despite the renewable nature of wind energy conversion, non-renewable resource inputs and emissions occur in the life-cycle of wind energy systems. Using a hybrid life-cycle assessment methodology, we quantify and assess the environmental impacts associated with the supply of 1 kWh of electricity from wind power. Furthermore, scenario analysis is performed to study economy-wide implications of existing projections for wind power development. KEYWORDS Life-cycle assessment (LCA); Wind power; Environmental management; Energy scenarios. 1 INTRODUCTION Wind power is generally seen as a key technology in achieving the desired shift to renewable energy sources. Despite the renewable nature of wind energy conversion, non-renewable resource inputs and emissions occur in the life-cycle of wind energy systems. Life-cycle assessment (LCA) is the appropriate tool for quantifying and assessing resource use and emissions generated throughout a product’s life-cycle. A systematic mapping of resource use and emissions of wind power can be valuable by documenting the technology’s environmental performance and, possibly, its superiority over competing options. Furthermore, it may assist in developing system designs and strategies for maximizing the environmental benefits of wind power. In this work, we employ LCA methodology to analyze emissions associated with supply of 1 kWh electricity from a generic onshore wind farm. By scaling unit-based results according to existing projections of wind power development, we estimate life-cycle carbon dioxide (CO2) emissions associated with global wind power development towards 2050. The results presented here are preliminary. [email protected] 3 European Academy of Wind Energy Norwegian University of Science and Technology 2 METHODS AND DATA 2.1 Unit-based analysis LCA is a standardized and increasingly applied tool to quantify and assess the environmental impacts of products and services [1, 2]. It involves a systematic mapping of resource use and emissions occurring in a network of operations. There are two prevailing approaches to LCA; a bottom-up, engineering approach, and a top-down, economic approach. In this work we combine the two approaches in what is commonly referred to as hybrid LCA methodology. Our data sources include miscellaneous industry reports, a commercial LCA database [3], and wind power cost breakdowns [4-6]. The system of analysis includes wind turbines, concrete foundations, electrical connections, transportation activities, installation, maintenance, and decommissioning. Basic assumptions regarding the modeled wind farm are shown in Table 1.
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