Experimental Aerodynamics & Concepts Group Micro Renewable Energy Systems Laboratory Georgia Institute of Technology Validation of.

Slides:



Advertisements
Similar presentations
CFD Simulation: MEXICO Rotor Wake
Advertisements

European Wind Energy Conference and Exhibition 2010 Warsaw, Poland EWEC 2010 Warsaw April 2010 Aeroelastic Analysis of Pre-Curved Rotor Blades V.A.Riziotis,S.G.Voutsinas.
Teymour Javaherchi Oskar Thulin Alberto Aliseda Array Optimization of Marine Hydrokinetic (MHK) Turbines Using the Blade Element Momentum Theory.
AeroAcoustics & Noise Control Laboratory, Seoul National University
Prediction and Validation of a Micro Wind Turbine for Rural Family Use Narayanan Komerath School of Aerospace Engineering, Georgia Institute of Technology,
Experimental Aerodynamics and Concepts Group The Low-Cost Vertical Axis Wind Turbine Project- An Exercise in Learning Across Disciplines Akshay Pendharkar.
Vertical-Axis Wind Turbine Kang Zheng Aaron Peterson Mohd Ramjis.
Wind Energy Technology
PREPARED BY: JANAK GAJJAR SD1909.  Introduction  Wind calculation  Pressure distribution on Antenna  Conclusion  References.
Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level Fifth level 1.
Boundary Layer Correction of Viscous Flow Through 2 D Turbine Cascades
WIND POWER POWER AVAILABLE FROM THE WIND PERFORMANCE OF A HAWT DESIGN PROCEDURES.
Active Control Systems for Wind Turbines
Module 5.2 Wind Turbine Design (Continued)
1 Short Summary of the Mechanics of Wind Turbine Korn Saran-Yasoontorn Department of Civil Engineering University of Texas at Austin 8/7/02.
Wind Turbine Project Recap Wind Power & Blade Aerodynamics
Computational Modelling of Unsteady Rotor Effects Duncan McNae – PhD candidate Professor J Michael R Graham.
Design of a Vertical-Axis Wind Turbine
Design Process Supporting LWST 1.Deeper understanding of technical terms and issues 2.Linkage to enabling research projects and 3.Impact on design optimization.
Power Generation from Renewable Energy Sources
1 11 A review of wind energy technologies part two. Adviser : Dr. Yuan-Kang Wu Student : Po-Kai Lin Date :
Ted Light Jeff Robinson December 13, 2003
Jarred Morales and Cody Beckemeyer Advisior: Dr. Junkun Ma ET 483.
Introduction Aerodynamic Performance Analysis of A Non Planar C Wing using Experimental and Numerical Tools Mano Prakash R., Manoj Kumar B., Lakshmi Narayanan.
Case study of Wind Energy at National Institute of Technology, Silchar- India PRESENTED BY Akash Joshi NATIONAL INSTITUTE OF TECHNOLOGY, SILCHAR, ASSAM.
Dynamically Variable Blade Geometry for Wind Energy
The Answer is Blowing in the Wind… The Power of Wind.
Energy in the Wind Walt Musial Senior Engineer National Wind Technology Center National Renewable Energy Laboratory Kidwind Teachers’ Workshop May 14,
Cody Beckemeyer Advisors: Junkun Ma Cris Koutsougeras ET 494 Fall 2013.
WATERPOWER LABORATORY Design of a small horizontal axis wind turbine, HAWT.
Wind Power Energy Sources Fall Wind Potential Wind energy is the most abundant renewable energy source after solar 120 GW of peak world capacity.
Wind Engineering Module 4.1 Blade Element Theory
Effects of Scale on Model Offshore Wind Turbines An Examination of How Well Scaled Model Wind Turbines Can Represent Full Sized Counterparts Group Members:
APEX Institute of Technology &Management Mr. SAURAV KUMAR (EEE # ) Mr. GAURAV KUMAR (ECE # ) B.TECH. PROJECT PRESENTATION-2012 [1]
Integrated Dynamic Analysis of Floating Offshore Wind Turbines EWEC2007 Milan, Italy 7-10 May 2007 B. Skaare 1, T. D. Hanson 1, F.G. Nielsen 1, R. Yttervik.
Study of Separated Flow Over Low-Pressure Turbine Blades and Automobiles Using Active Flow Control Strategies Michael Cline Junior Mechanical Engineering.
NUMERICAL SIMULATION OF WIND TURBINE AERODYNAMICS Jean-Jacques Chattot University of California Davis OUTLINE Challenges in Wind Turbine Flows The Analysis.
Cavitation and Hydrodynamic Evaluation of a Uniquely Designed Hydrofoil for Application on Marine Hydrokinetic Turbines R. Phillips, W. Straka, A. Fontaine.
 Design of a Vertical-Axis Wind Turbine MUN VAWT DESIGN Group 11 Jonathan Clarke Luke Hancox Daniel MacKenzie Matthew Whelan.
Power Generation from Renewable Energy Sources Fall 2012 Instructor: Xiaodong Chu : Office Tel.:
Supervisor: Dr David Wood Co-Supervisor: Dr Curran Crawford
Design of a Vertical-Axis Wind Turbine
Horizontal Axis Fan design. HAWTs Vs. VAWTs -HAWTs should be used since it is more effective in producing laminar flow and aerodynamics compared to VAWTs.
Aerodynamic forces on the blade, COP, Optimum blade profiles
Wind Energy Technology
Date of download: 5/31/2016 Copyright © ASME. All rights reserved. From: Aerodynamic Performance of a Small Horizontal Axis Wind Turbine J. Sol. Energy.
Vertical Axis Wind Turbine Noise
Wind Turbine Project Recap Wind Power & Blade Aerodynamics.
Chapter 8, pp (*figures from text)
Classical Design of Wind Turbine Controllers
INVESTIGATION OF IDLING INSTABILITIES IN WIND TURBINE SIMULATIONS
Wind Turbine
Aerodynamic Force Measurement
Betz Theory for A Blade Element
Actual Power Developed by A Rotor
Blade Design for Modern Wind Turbines
Date of download: 12/25/2017 Copyright © ASME. All rights reserved.
Date of download: 12/26/2017 Copyright © ASME. All rights reserved.
Off-design Performance of A Rotor
Rotors in Complex Inflow, AVATAR, WP2
Fluid Dynamic Principles to Generate Axial Induction
Dynamic Controllers for Wind Turbines
H.A.W.T. Development Prototype and Testing - Final Report
COMBINED DARRIEUS - SAVONIUS WIND TURBINE
Renovating An Ancient Low Speed Wind Tunnel
DESIGN, SYSTEM PERFORMANCE, ECONOMIC ANALYSIS
ME 252 Thermal-Fluid Systems G. Kallio
Dual Induction theory for Wind Turbines
Eulerization of Betz theory: Wind Turbines
Double-multiple Stream Tube Model for Darrieus Wind Turbines
Presentation transcript:

Experimental Aerodynamics & Concepts Group Micro Renewable Energy Systems Laboratory Georgia Institute of Technology Validation of a Prediction Model for Control of Micro Wind Turbines Ryan McGowan and Narayanan Komerath Daniel Guggenheim School of Aerospace Engineering Georgia Institute of Technology Atlanta, Georgia USA INTERNATIONAL CONFERENCE ON POWER, SIGNALS, CONTROL AND COMPUTATIONS Trissur, India, January 3-06, 2012

Experimental Aerodynamics & Concepts Group Micro Renewable Energy Systems Laboratory Georgia Institute of Technology SUMMARY Aim Develop micro wind turbine for single-family use in India Vertical axis vs. horizontal axis Local manufacture & maintenance Lifecycle safety & environment Technically complex to design! Operation at low wind speeds Low blade tip speed Optimize design for low tip-speed ratio TSR = Blade tip tangential\ Windspeed Aerodynamics simulation validated Low Reynolds number corrections Wind tunnel testbed Azimuthal modification strategy to improve operation Real-time control options TSR Objective Methods

Experimental Aerodynamics & Concepts Group Micro Renewable Energy Systems Laboratory Georgia Institute of Technology Vertical Axis Wind Turbine 1.Bicycle-based 1m VAWT >270rpm, >70 w (mechanical) 2. 2m 1kW VAWT for high coastal winds. Issues: 1.Optimal tip speed ratio 2 to 5 – too high. 2.Variable power transmission 3.Nonlinear pitch control 4.Flexible blade operation 5.Benign failure modes 6.Hybrid devices: power conditioning, storage

Experimental Aerodynamics & Concepts Group Micro Renewable Energy Systems Laboratory Georgia Institute of Technology 54-inch Horizontal Axis Wind Turbine Electrical Output vs. Wind Speed, with 50 Ohm resistive load (2 tests)

Experimental Aerodynamics & Concepts Group Micro Renewable Energy Systems Laboratory Georgia Institute of Technology Horizontal Axis Wind Turbine Simulation: Power Coefficient vs. Tip Speed Ratio

Experimental Aerodynamics & Concepts Group Micro Renewable Energy Systems Laboratory Georgia Institute of Technology Measured VAWT mechanical power in two tests vs. preliminary predictions from momentum streamtube theory

Experimental Aerodynamics & Concepts Group Micro Renewable Energy Systems Laboratory Georgia Institute of Technology V t = - V b Vertical Axis Wind Turbine, looking from above, showing relative velocity on the Advancing Blade Side, and the blade wake. Solidity, defined as diameter divided by blade chord times number of blades. As solidity increases, blade-wake interaction increases. So we need Multiple StreamTube Theory to account for power loss from streamtubes due to power extraction or drag due to blades

Experimental Aerodynamics & Concepts Group Micro Renewable Energy Systems Laboratory Georgia Institute of Technology Blade element predictions of the mechanical power output of the 3-armed, bi-bladed VAWT, for different choices of blade chord compared to the baseline chord, with fixed span Aspect Ratio Effect on Optimal Tip Speed Ratio Baseline AR = Span/chord. ~9

Experimental Aerodynamics & Concepts Group Micro Renewable Energy Systems Laboratory Georgia Institute of Technology Power coefficient vs. tip speed ratio for various solidities (Sandia data and simulation)

Experimental Aerodynamics & Concepts Group Micro Renewable Energy Systems Laboratory Georgia Institute of Technology Comparison of (GT) and Sandia performance predictions at a solidity of 0.18.

Experimental Aerodynamics & Concepts Group Micro Renewable Energy Systems Laboratory Georgia Institute of Technology Positive Torque (driving) occurs when net force has a positive component along the tangential direction, driving the blade Tangential coefficient vs. alpha for a NACA 0015 airfoil

Experimental Aerodynamics & Concepts Group Micro Renewable Energy Systems Laboratory Georgia Institute of Technology Wind Enable startup in low winds Provide some power Limit performance at high speeds Passive control of local angle of attack Eliminate blade stall/negative torque Allow self-starting Drag Channels Guide Vanes Passive Starting Mechanisms To reach optimal TSR, one needs powered start

Experimental Aerodynamics & Concepts Group Micro Renewable Energy Systems Laboratory Georgia Institute of Technology Conclusions Begun to integrate prediction, design and testing of a 2m x 2m vertical axis wind turbine with slanted double blades. Operating point predictions with multiple streamtube theory are validated against published results. Reynolds number effects are clearly seen in the predictions, and their proper inclusion allows the predictions to match experimental data well. Low performance at Tip Speed Ratio <1 is as per predictions. Simulation used to study how to eliminate negative torque at low tip speed ratio. A self-starting device using drag tubes isbeing simulated. Limiting turbine speed for safety implies that high tip speed ratio is best achieved at low wind speeds by taking the turbine to operating speed using human pedaling action or an electric motor. Time-resolved simulations and thus to control algorithms for adapting to given wind patterns and optimizing power extraction and safety.

Experimental Aerodynamics & Concepts Group Micro Renewable Energy Systems Laboratory Georgia Institute of Technology ACKNOWLEDGEMENTS The work reported in this paper was made possible by resources being developed for the “EXTROVERT” cross-disciplinary learning project under NASA Grant NNX09AF67G S01. Mr. Anthony Springer is the Technical Monitor.