Achieving Reliable Energy Production During Winter Months

Size: px

Start display at page:

Download "Achieving Reliable Energy Production During Winter Months"

Randell Elmer Terry
5 years ago
Views:

1 Achieving Reliable Energy Production During Winter Months Monelle Comeau CanWEA

2 AGENDA 1 Overview of ENERCON s Icing and Cold Climate Innovations 2 Ice Detection System Evaluations Technology I Experimental Set-up Data & Metrics Current Developments 3 Ice Fall and Ice Throw Research Measurement Campaign I Model Kryštofovy Hamry, Czech Republic 2

(Cold climate) Raglan, Canada Source: TUGLIQ Ice Detection system Power Curve method Validation by independent exports (TÜV Nord)

3 1 ENERCON Icing and Cold Climate Innovations Rotor Blade Heating System (RBHS) First prototype in 1996 over 20 years of experience Reduction in downtime and yield losses Cold climate package Operation down to -40 C for all turbines Full operation down to -30 C (Cold climate) Raglan, Canada Source: TUGLIQ Ice Detection system Power Curve method Validation by independent exports (TÜV Nord) Power Consumption Management Cascade restart of turbines Control of peak power consumption Mawson Station, Antarctica Source: Pete Hargreaves 3

4 AGENDA 1 Overview of ENERCON s Icing and Cold Climate Innovations 2 Ice Detection System Evaluations Technology I Experimental Set-up Data & Metrics Current Developments 3 Ice Fall and Ice Throw Research Measurement Campaign I Model Kryštofovy Hamry, Czech Republic 4

5 2 Ice Detection System Evaluations - Technology Deviations from characteristic curves monitored for temperatures below 2 C GREEN GRAPH POWER CURVE METHOD Deviations from the power curve compared to wind speed PINK GRAPH BLADE ANGLE METHOD Deviations from the blade angle curve compared to wind speed POWER WIND SPEED AT HUB HEIGHT [M/S] BLADE ANGLE European patent specification EP B

2 Ice Detection System Evaluations - Technology Deviations from characteristic curves monitored for temperatures below 2 C GREEN GRAPH POWER CURVE METHOD Deviations from the power curve compared to

6 2 Ice Detection System Evaluations - Technology Deviations from characteristic curves monitored for temperatures below 2 C GREEN GRAPH POWER CURVE METHOD Deviations from the power curve compared to wind speed PINK GRAPH BLADE ANGLE METHOD Deviations from the blade angle curve compared to wind speed Labkotec ice detector with ENERCON power curve method extends the working range European patent specification EP B

reference ice observations Photos of blades, nacelle, instruments Lights

7 2 Ice Detection System Evaluations - Experimental set-up Highly instrumented tall met masts within wind farms Camera systems for reference ice observations Photos of blades, nacelle, instruments Lights for night time pictures Neighbouring turbines set in different heating modes Camera Light 7

detection signal from commercial ice sensors Blade heating on/off

8 2 Ice Detection System Evaluations - Data & Metrics Observed icing on nacelle, blades, instruments Ice detection signal from ENERCON system Ice detection signal from commercial ice sensors Blade heating on/off Instrumental/meteorological icing Icing filter yes/no for anemometers and wind vanes 8

9 2 Ice Detection System Evaluations - Data & Metrics Observed icing ENERCON Icing detected Ice detection from turbine system Detected events = observed events? (false alarms, missed events, bias, critical success index) Reaction time (delay in detection) Detection outside operating range Safety, technological maturity, etc. 9

2 Ice Detection System Evaluations - Developments Evaluation, implementation and certification of

EIGENFREQUENCY MEASUREMENT Bonding of tags on blade Impedance measurement with a planar capacitor

Automatic restart Measurement with acceleration sensor in the blade Transmission via fiber-optic

conditions Structural noise sensor inside blades Transmission via screened electric cables

10 2 Ice Detection System Evaluations - Developments Evaluation, implementation and certification of commercial blade ice detection options IMPEDANCE MEASUREMENT EIGENFREQUENCY MEASUREMENT EIGENFREQUENCY MEASUREMENT Bonding of tags on blade Impedance measurement with a planar capacitor Self support by solar panel Configurations under development: - Ice detection during operation - Automatic restart Measurement with acceleration sensor in the blade Transmission via fiber-optic Warnings and Alarms with site specific ice mass thresholds optimize turbine operation under icing conditions Structural noise sensor inside blades Transmission via screened electric cables Warnings and Alarms with site specific ice mass thresholds optimize turbine operation under icing conditions 10

11 AGENDA 1 Overview of ENERCON s Icing and Cold Climate Innovations 2 Ice Detection System Evaluations Technology I Experimental Set-up Data & Metrics Current Developments 3 Ice Fall and Ice Throw Research Measurement Campaign I Model Kryštofovy Hamry, Czech Republic 11

evaluate risk Modelling of a wind farm risk Recorded data: Time/day Weight, dimensions, type of icing

12 5 Ice Fall and Ice Throw - Measurement Campaign Extensive 3-year measurement campaign on 4 x E-82 in different operating modes Objectives Better understanding of risk Development of validated model to evaluate risk Modelling of a wind farm risk Recorded data: Time/day Weight, dimensions, type of icing Position relative to associated turbine Number of pieces/fragments Frequent icing on site (IEA ice class 4) 12

5 Ice Fall and Ice Throw - Measurement Campaign Over 25 000 pieces collected Valid for

operating modes General results All pieces found largely within Safety distance (WECO,

13 5 Ice Fall and Ice Throw - Measurement Campaign Over pieces collected Valid for development of ice fall/ throw model Statistical distributions Differences between operating modes General results All pieces found largely within Safety distance (WECO, 1998) Largest distance 71% of Safety distance (does not imply risk is null beyond Safety distance) 13

14 5 Ice Fall and Ice Throw - Model Assumptions based on: Measurements Research, theses, literature Industry state-of-the-art SCADA data Other ENERCON R&D projects Special attention to: Ensure sufficient conservatism Represent ENERCON turbines Validate thoroughly Certify 14

5 Ice Fall and Ice Throw - Model Assumptions based on: Measurements Research, theses, literature Industry state-of-the-art SCADA data Other ENERCON R&D projects Special attention to:

15 5 Ice Fall and Ice Throw - Model Assumptions based on: Measurements Research, theses, literature Industry state-of-the-art SCADA data Other ENERCON R&D projects Special attention to: Ensure sufficient conservatism Represent ENERCON turbines Validate thoroughly Certify Model developers participating in the IEA Task 19 subgroup Guidelines for ice fall/throw risk assessment 15

16 SUMMARY Leader in icing and cold climate innovations Evolving towards more options for ice detection Improved evaluation and quantification of risks Castle New Rock Richmond, Ridge, Canada 16

17 THANK YOU FOR YOUR ATTENTION ENERCON GmbH Dreekamp 5 D Aurich Telephone: Fax: Cowessess, Canada 17

18 LEGAL NOTICE Publisher Copyright notice Registered trademarks Reservation of right of modification ENERCON GmbH Dreekamp Aurich Germany Telephone: Fax: info@enercon.de Internet: Managing Directors: Hans-Dieter Kettwig, Simon-Hermann Wobben Court of jurisdiction: Aurich Commercial register number: HRB 411 VAT ID No.: DE The contents of this document are protected by the German copyright law and international treaties. All copyrights concerning the content of this document are held by ENERCON GmbH, unless another copyright holder is expressly indicated or identified. Any content made available does not grant the user any industrial property rights, rights of use or any other rights. The user is not allowed to register any intellectual property rights or rights for parts thereof. Any transmission, surrender or distribution of the contents of this document to third parties, any reproduction or copying, and any application and use also in part require the express and written permission of the copyright holder, unless any of the above are permitted by mandatory legal regulations. Any infringement of the copyright is contrary to law, may be prosecuted according to 106 et seq. of the German Copyright Act (UrhG), and grants the copyright holder the right to file for injunctive relief and to claim for punitive damages. Any trademarks mentioned in this document are the intellectual property of the respective registered trademark holders; the stipulations of the applicable trademark law are valid without restriction. ENERCON GmbH reserves the right to change, improve and expand this document and the subject matter described herein at any time without prior notice, unless contractual agreements or legal requirements provide otherwise. Document details Document ID Note ppt-template_dina4_en This is a translation of ppt-template_dina4_de Date Language DCC Plant/Department en Marketing Revisions Rev. Date Change 0 yyyy-mm-dd Document created 18

19 Additional slides

20 Yield gain for test site Site study: 3 x E-82 2 MW, IEA ice class 4, 3 winters Production and losses [% AEP] standstill hours WEC A - RBH off WEC B - RBH in operation WEC C - RBH at standstill 20

Yield gain for test site CANADA GERMANY CZECH REPUBLIC SWEDEN 7000 6500 4 % 0,5 % 5500 5000 4 % 0,3 % 5000

unheated heated 3000 unheated heated 4000 unheated heated AEP [MWh] ICING LOSSES [MWh] (incl.

21 Yield gain for test site CANADA GERMANY CZECH REPUBLIC SWEDEN % 0,5 % % 0,3 % % 3 % % 3 % unheated heated 3500 unheated heated 3000 unheated heated 4000 unheated heated AEP [MWh] ICING LOSSES [MWh] (incl. RBHS consumption) Graphs show results for one site only per country not representative of entire fleet in selected countries 21

IEA icing classes and estimated losses of ENERCON turbines with RBHS IEA ice class Meteorological icing Instrumental icing Production loss (WEC without RBHS) Production loss (WEC with RBHS,

22 IEA icing classes and estimated losses of ENERCON turbines with RBHS IEA ice class Meteorological icing Instrumental icing Production loss (WEC without RBHS) Production loss (WEC with RBHS, consumption incl.) Validation no. % of year % of year % of AEP % of AEP Site 5 >10 >20 >20 > , ,5-3 Czech Republic* Sweden (site 1)* Sweden (site 2) Switzerland Canada 2 0, , ,5 Germany* 1 0-0,5 <1,5 0-0,5 <0,5 - IEA task 19 wind: expert group study wind energy projects in cold climate 1. edition 2011 Performance of ENERCON WECs *Demonstrated by Meteotest 22

23 Rotor blade heating consumption 23

2.000 ACTIVATION MODES: Automatically or manually

24 Rotor blade heating system FIRST PROTOTYPE: 1996 on an E-40 turbine NUMBER OF SOLD RBHS: More than ACTIVATION MODES: Automatically or manually OPERATIONAL MODES: During operation or standstill 24

25 Installed Capacity in July

Estimating icing in Finnish climate conditions

VTT TECHNICAL RESEARCH CENTRE OF FINLAND LTD Estimating icing in Finnish climate conditions Ville Lehtomäki, Timo Karlsson, Simo Rissanen, VTT Teppo Hilakivi, Puhuri Oy Staffan Asplund, Etha Wind Wind