Welcome to the world of wind energy Wind Farm design. Dr. D. V. Kanellopoulos OPWP Renewable Energy Training Program December 2016 Muscat, Oman

Similar documents
The Wind Resource: Prospecting for Good Sites

Wind resource assessment over a complex terrain covered by forest using CFD simulations of neutral atmospheric boundary layer with OpenFOAM

Wind Flow Modeling: Are computationally intensive models more accurate?

Welcome to the world of wind energy. Site Selection. Dr. D. V. Kanellopoulos OPWP Renewable Energy Training Program December 2016 Muscat, Oman

Wind Project Siting & Resource Assessment

Measured wake losses By Per Nielsen

Are Advanced Wind Flow Models More Accurate? A Test of Four Models

VINDKRAFTNET MEETING ON TURBULENCE

Site Assessment Report. Wind farm: Ascog Farm (GB)

Wind Projects: Optimizing Site Selection

Evaluation of four numerical wind flow models

Investigation and validation of wake model combinations for large wind farm modelling in neutral boundary layers

Bankable Wind Resource Assessment

Offshore Wind Energy Potential for the United States

Computational Fluid Dynamics

Wind Project Siting and Permitting Blaine Loos

A noise generation and propagation model for large wind farms

L'éolien offshore: caractéristiques et mode de construction

TRACK RECORD FIRST MOVER. DEME: creating land for the future. Member of the DEME Group

Renewable Energy 54 (2013) 124e130. Contents lists available at SciVerse ScienceDirect. Renewable Energy

Wind Power. Kevin Clifford METR 112 April 19, 2011

Comparison of flow models

Upgrading Vestas V47-660kW

HOUTEN WIND FARM WIND RESOURCE ASSESSMENT

Modelling the Output of a Flat-Roof Mounted Wind Turbine with an Edge Mounted Lip

Design of Naca63215 Airfoil for a Wind Turbine

TRACK RECORD. First Mover. Burbo Bank Ext. - Tristan Stedman

Torrild - WindSIM Case study

Wind Farm Blockage: Searching for Suitable Validation Data

2 Asymptotic speed deficit from boundary layer considerations

Offshore Micrositing - Meeting The Challenge

INCORPORATING SEASONAL WIND RESOURCE AND ELECTRICITY PRICE DATA INTO WIND FARM MICROSITING

Can Wind Energy Be Captured in New York City? Case Study on Urban Wind based on a Feasibility Study by Orange Line Studio. Spark 101 Educator Resource

The study on micro-location of wind-electric field in the complex terrain

Wake effects at Horns Rev and their influence on energy production. Kraftværksvej 53 Frederiksborgvej 399. Ph.: Ph.

NORCOWE Reference Wind Farm

&)' VWXG\ DQG ZLQG IORZ PRGHOLQJ RYHU GLIIHUHQW WHUUDLQ W\SHV

Session 2a: Wind power spatial planning techniques. IRENA Global Atlas Spatial planning techniques 2-day seminar

Measurement and simulation of the flow field around a triangular lattice meteorological mast

Advanced pre and post-processing in Windsim

Session 2: Wind power spatial planning techniques

Pre Feasibility Study Report Citiwater Cleveland Bay Purification Plant

EFFECTIVE DESIGN OF CONVERTER HOODS. 111 Ferguson Ct. Suite 103 Irving, Texas U.S.A. 400 Carlingview Dr. Toronto, ON M9W 5X9 Canada.

Outline. Wind Turbine Siting. Roughness. Wind Farm Design 4/7/2015

Background noise maps

Windcube FCR measurements

Smooth hill validation in FUROW s wind resource module using OpenFOAM

Flow modelling hills complex terrain and other issues

A COMPARATIVE STUDY OF MIX FLOW PUMP IMPELLER CFD ANALYSIS AND EXPERIMENTAL DATA OF SUBMERSIBLE PUMP

Increased Project Bankability : Thailand's First Ground-Based LiDAR Wind Measurement Campaign

WIND DIRECTION ERROR IN THE LILLGRUND OFFSHORE WIND FARM

Sustainable Energy Science and Engineering Center. Wind Energy

Wind Flow Analysis on a Complex Terrain

Efficiency Improvement of a New Vertical Axis Wind Turbine by Individual Active Control of Blade Motion

8 SHADOW FLICKER 8.1 INTRODUCTION 8.2 RECEIVING ENVIRONMENT

Effect of wind flow direction on the loads at wind farm. Romans Kazacoks Lindsey Amos Prof William Leithead

Numerical simulations of a large offshore wind turbine exposed to turbulent inflow conditions

WINDSPEED. Resultat og erfaringer med MSP. 26. september 2013 Hans Chr. Sørensen, SPOK ApS. Contract number: EIE/07/759/S

IMPROVEMENT OF THE WIND FARM MODEL FLAP FOR OFFSHORE APPLICATIONS

OFFSHORE WIND: A CRASH COURSE

Steady State Comparisons HAWC2 v12.5 vs HAWCStab2 v2.14: Integrated and distributed aerodynamic performance

Global Flow Solutions Mark Zagar, Cheng Hu-Hu, Yavor Hristov, Søren Holm Mogensen, Line Gulstad Vestas Wind & Site Competence Centre, Technology R&D

Integrated airfoil and blade design method for large wind turbines

Inves&ga&on of Dynamic Loading for 13.2 MW Downwind Pre- Aligned Rotor

WAKE MODELING OF AN OFFSHORE WINDFARM USING OPENFOAM

Background Preliminary Review... 3

EE 364B: Wind Farm Layout Optimization via Sequential Convex Programming

2MW baseline wind turbine: model development and verification (WP1) The University of Tokyo & Hitachi, Ltd.

The WindFloat Project. Hamburg, September 2016

WindPRO version Nov 2012 Project:

Energy Output. Outline. Characterizing Wind Variability. Characterizing Wind Variability 3/7/2015. for Wind Power Management

Forest Winds in Complex Terrain

The Park2 Wake Model - Documentation and Validation

Wake modelling for offshore wind turbine parks. Jens N. Sørensen Department of Wind Energy Technical University of Denmark

Research on Small Wind Power System Based on H-type Vertical Wind Turbine Rong-Qiang GUAN a, Jing YU b

Wind Power Potential Assessment of Complex Terrain at RGPV Hill Top

Wakes in very large wind farms and the effect of neighbouring wind farms

ADVANCES IN AERODYNAMICS OF WIND TURBINE BLADES

Architecture - the Market

Analysis of long distance wakes of Horns Rev I using actuator disc approach

Large-eddy simulation study of effects of clearing in forest on wind turbines

Acknowledgements First of all, I would like to thank Matthew Homola and Nordkraft for allowing me to use measurements from Nygårdsfjellet wind farm. W

PARK - Main Result Calculation: PARK calculation (5 x 166m, + LT CORR + MITIGATION) N.O. Jensen (RISØ/EMD)

A STUDY ON AIRFOIL CHRACTERISTICS OF A ROTOR BLADE FOR WIND MILL

ADVANCES ON WIND ENERGY RESOURCE MAPPING FROM SAR

WIND DATA ANALYSIS AND WIND FLOW SIMULATION OVER LARGE AREAS

Automated Steady and Transient CFD Analysis of Flow Over Complex Terrain for Risk Avoidance in Wind Turbine Micro-Siting

Figure 1 Lake Ontario Offshore Study Area near East Toronto

Yawing and performance of an offshore wind farm

Efficiency Improvement of Rotary Compressor by Improving the Discharge path through Simulation

Confidence through experience. Track record as of 30 June 2012

Optimization of Blades of Horizontal Wind Turbines by Choosing an Appropriate Airfoil and Computer Simulation

Increasing the Efficiency of Gilan Wind Power Plant in Iran by Optimization in Wind Turbines Arrangment in Wind Farm

Computational fluid dynamics analysis of a mixed flow pump impeller

EERA DTOC wake results offshore

The EllipSys2D/3D code and its application within wind turbine aerodynamics

Full scale experimental analysis of extreme coherent gust with wind direction changes (EOD)

S-CO 2 Brayton Recompression Loop Design and Control

THE HORNS REV WIND FARM AND THE OPERATIONAL EXPERIENCE WITH THE WIND FARM MAIN CONTROLLER

Improved Approaches to Site Finding

Transcription:

Welcome to the world of wind energy Wind Farm design Dr. D. V. Kanellopoulos OPWP Renewable Energy Training Program 11-14 December 2016 Muscat, Oman 1

Wind farm design What are the 2 main parameters that DICTATE the LAYOUT of a future wind farm? Wind rose Absolutely necessary to measure them on the site for at least one year. ALWAYS REMEMBER, they can change over large distances.

Wind farm design What are the 2 main parameters that DECTATE the LAYOUT of a future wind farm? Get a topographic survey, look for detailed maps in order to start preliminary layouts, maps scaled 1:5.000 are needed

Wind farm design What are the 2 main parameters that DECTATE the LAYOUT of a future wind farm? Gulf of Gela, Sicily, Italy Get a topographic survey, look for detailed maps for the sea bed if available

A step by step procedure will be presented to demonstrate the ability to design a preliminary layout without the use of specialized programs California, USA Operating wind farms

In the mountains of California the ridges dictate the line layouts http://eerscmap.usgs.gov/windfarm/

Wind farm design, the theory The wake area extends downstream of the wt for a distance 10 times the diameter, D

Wind farm design, the theory 2 wts must be placed along the axis x-x in such a manner that the second turbine B is clear off the wake area created by the first turbine A. The wind direction is at an angle of ε with the proposed axis What is the minimum distance AB?

Wind farm design, the theory 2 wts must be placed along the axis x-x in such a manner that the second turbine B is clear off the wake area created by the first turbine A. The wind direction is at an angle of ε with the proposed axis β=90 o +δ, α+β+γ=180 ο, α=90 o -ε, and γ=ε-δ. also AD/sin(β)=AE/sin(γ). ΑΕ=D/2 thus the length AD=Dcos(δ)/(2sin(ε-δ)). For same diameter machines, AD=DB so ΑΒ= Dcos(δ)/sin(ε-δ) (1) Normally we express distances as multiples of diameters so ΑΒ=nD, then: n= cos(δ)/sin(ε-δ) (2) Theoretically when ε=0 ο then wt Β could be placed tangentially as it is shown in the next slide. For small values of the angle ε wt B is always in the wake so it is recommended to put a distance of 10 D. For n=10 and δ=12 ο, equation 2 gives ε=17.7 ο. This means that equation 2 should only be used for angles: 17.7 ο < ε < 90 ο.

Wind farm design, the theory Wind turbine A creates the wake. If we are not restricted by space, then the closest the second turbine can be placed is along the line E-D-C or at the ark C-B which is 10 diameters behind.

Wind farm design, the theory n ελάχιστη απόσταση μεταξύ μηχανών, nd 10 9 8 7 6 5 4 3 2 1 0 n= cos(δ)/sin(ε-δ) ε 18 30 42 54 66 78 90 γωνία ε ο μεταξύ της διεύθυνσης του ανέμου και του άξονα ανάπτυξης των μηχανών Dimitrios Kanellopoulos, ISBN 978-960-411-644-7

Wind farm design, the theory If ε is greater than 90 ο then the same analysis shows that: n= cos(δ)/sin(ε+δ) (3) equation 3 is valid for angles 90 ο < ε < 162,3 ο. In case that 162,3 ο < ε < 180 ο then a value of n=10 is recommended. In case of turbines with different diameters D1 και D2 then the minimal distance is given by: ΑΒ=AD+DB= (D1+D2)cos(δ)/2sin(ε-δ) (4) for 17,7 ο < ε < 90 ο and AB=(D1+D2)cos(δ)/2sin(ε+δ) (5) για γωνίες 90 ο < ε < 162,3 ο.

An applied example, STEP 1 Dimitrios Kanellopoulos, ISBN 978-960-411-644-7 Assume that the available land is along the hill tops defined by lines, AB, CD, DE, EF, FG, GH and IJ 2 scenarios: wt NP=300 kw, D=30 m and wt NP=1 MW, D=45 m

An applied example Location: Chiotes, Rhodes, Greece The wind rose, measurements were conducted between 1978 and 1981. Prevailing or dominant wind directions are WNW and NW This means that future wind farm must perform without wake losses at least in these 2 wind directions

1 2 3 4 5 6 7 8 1 η case WNW=292,5 ο, same for ESE, AB 284 60 127,5 1,51 45,3 6,3 7 CD 307 60 127,5 1,51 45,3 6,3 7 DE 315 87 154,5 4,19 125,7 2,5 3 EF 123 76 143,5 2,36 70,8 1,7 2 FG 123 14 81,5 1,04 31,2 3,9 4 GH 146 353 60,5 1,31 39,3 3,7 4 IJ 207 9 76,5 1,08 32,4 6,4 7 2 η case W=270 ο AB 284 60 150 3,16 94,8 3 4 CD 307 60 150 3,16 94,8 3,2 4 DE 315 87 177 10 300 1 2 EF 123 76 166 10 300 0,4 1 FG 123 14 104 1,09 32,7 3,7 4 GH 146 353 83 1,03 30,9 4,7 5 IJ 207 9 99 1,05 31,5 6,6 7 3 η case NW=315 ο, same for SE AB 284 60 105 1,1 33 8,6 9 CD 307 60 105 1,1 33 9,3 10 DE 315 87 132 1,66 49,8 6,3 7 EF 123 76 121 1,34 53,8 2,3 3 FG 123 14 59 1,34 53,8 2,3 3 GH 146 353 38 2,23 66,9 2,2 3 IJ 207 9 54 1,46 43,8 4,7 5 Desired distances along each line in order to avoid wake effects for W, WNW, NW, ESE και SE. AB 3,16 4 CD 3,16 4 DE 10 2 EF 10 1 FG 1,34 3 GH 2,23 3 IJ 1,46 5 1: name of line 2: length of line in m 3: angle between line and the north to south axis 4: angle ε 5: n( from equations) 6: nd, minimum distance among wts in m 7:dived value of column 2 with column 6 8: maximum number of wts that can be placed at this line

An applied example, STEP 2 D=30 m, NP=300 kw, 14 wts, installed power 4.2 MW Remember: Equations help but common sense is also needed

An applied example, STEP 3 D=45 m, NP=1000 kw, 10 wts, installed power 10 MW

Examples of possible wind farm layouts in an area of complex terrain No of wts D, m NP, kw Wind farm power, MW 13 25 200 2.6 9 30 300 2.7 7 35 400 2.8 Melanios, Chios, Greece

Canadian wind farm, D=82 m

Czech Republic, wind farm, D=82 m

Example of proposed wind farm layout in flat areas with plenty of space, D=50 m

Austria, D=82 m

Brazil, D=72m, multiple rows of wts

Wind farms in the American planes of Texas

White Deer Wind Farm, Texas USA, rows of wts. A joy for the wind engineer designing this layout SIZE: 80 MW COMMERCIAL OPERATIONS DATE: December 2001 UTILITY: Xcel Energy s Southwestern Public Service Company TURBINE EQUIPMENT: 80 Mitsubishi MHI 1000A 1 MW turbines TRANSMISSION: 1-115 kv Substation, Adjacent to 115 kv Interconnect Line INTERCONNECT: Xcel Energy s 115 kv line from Nichols to Kingsmill LAND: 20 landowners on 5,760 Acres

Vindeby, Denmark. 11 Turbines: Bonus 450/35, NP=450kV, D=35m, Hr=35m AMSL, 2 rows, s = 300 m = 8,6D, nd= 335 m = 9.6 D nd s The first offshore wind farm in the world.

Vindeby, Denmark. 11 Turbines

Vindeby, Denmark. 11 Turbines: Bonus 450/B35, plan view and interconnecting diagram

Denmark, Copenhagen, the Middelgrunden offshore wind park, 20 Bonus, NP= 2 MW, P=40 MW, D=76m, Hr=64m s=2.4d=182 m http://www.thewindpower.net/windfarm_en_729_middelgrunden.php

The Netherlands Princes Amaliawindpark V80-2MW, 60 wts P=120 MW http://www.4coffshore.com/windfarms/prinses-amaliawindpark-netherlands-nl01.html

http://www.renewableuk.com/en/publications/ fact-sheets.cfm/uk-content-of-operating-offshore-wind-farms offshore wind farms UK

Capacity factors from offshore wind farms All numbers are to the end of December 2015. Analysis by EnergyNumbers.info. Raw data from ens.dk Latest rolling 12-month capacity factor Life capacity factor Age (years) Installed capacity (MW p ) Total elec. gen. (GWh) Total 43.4% 41.1% 1271 33 837 Anholt 1 46.6% 48.3% 2.7 399.6 4 650 Avedøre Holme 43.0% 38.9% 5.5 10.8 202 Frederikshavn 33.6% 30.8% 12.6 7.6 259 Horns Rev I 43.8% 42.0% 13.2 160 7 763 Horns Rev II 41.1% 47.8% 6.3 209.3 5 551 Middelgrunden 27.6% 25.6% 15.0 40 1 345 Nysted (Rødsand) I 40.3% 37.3% 12.6 165.6 6 790 Nysted (Rødsand) II 46.9% 44.4% 5.5 207 4 463 Rønland I 45.4% 44.4% 13.0 17.2 867 Samsø 42.4% 39.6% 12.9 23 1 030 Sprogø 35.3% 35.4% 6.2 21 402 Tunø Knob 33.6% 30.3% 20.6 5 273 Vindeby 15.5% 22.9% 24.4 4.95 242

Optimization of wind farm layout I can t wait to produce clean energy!

Optimization of wind farm layout Optimization of wind farm layout with respect to: production, visibility, low OPEX and other requirements such as overhead cables, roads, noise etc. Annual Energy Production (AEP) predictions. For complex sites, Computational Fluid Dynamics (CFD) wind flow simulation for optimizing wind turbine life time. Identifications and recommendation of most optimal and suitable wind turbines for the actual wind farm. Environmental assessment (acoustic noise and shadow flickering)

Optimization of wind farm layouts, some of the market products available today are: WAsP Furow WindFarm WindFarmer WindPRO meteodyn WT WindSim openwind DTU Wind Energy Solute Ingenieros ReSoft DNV GL EMD International A/S Meteodyn Vector AS AWS Truepower These software simulates wind farm behavior, most importantly to calculate its energy output. The user can usually input wind data, height and roughness contour lines (topography), turbine specifications, background maps, and define environmental restrictions. Processing this information produces the design of a wind farm that maximizes energy production while accounting for restrictions and construction issues.

WAKEBENCH: Benchmarking of Wind Farm Flow Models OPERATING AGENT ORGANIZATIONS National Renewable Energy Center (Cener), Spain National Renewable Energy Laboratory, USA Operating Agent Representatives: Javier Sanz RODRIGO National Renewable Energy Centre (CENER) Email jsrodrigo@cener.com Patrick MORIARTY National Renewable Energy Laboratory (NREL) Email Patrick.Moriarty@nrel.gov From Greece: www.cres.gr