Optimal yaw strategy for optimized power and loads

  • Slides: 20
Download presentation
Optimal yaw strategy for optimized power and loads in various wake situations Albert M.

Optimal yaw strategy for optimized power and loads in various wake situations Albert M. Urbán 1, Torben J. Larsen 1, Gunner Chr. Larsen 1, Dominique P. Held 1, 2, Ebba Dellwik 1, David Verelst 1 1 Department of Wind Energy, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, Denmark. 2 Windar Photonics, Helgeshøj Alle 16, 2630 Taastrup, Denmark Correspondence : amur@dtu. dk 26/09/2018

Outline 1. Motivation and Project 2. Background 3. Methodology 4. Results 5. Conclusion 2

Outline 1. Motivation and Project 2. Background 3. Methodology 4. Results 5. Conclusion 2 DTU Wind Energy, Technical University of Denmark

Motivation and Project • Reduce loading on Wind Turbine in wake situation – Impact

Motivation and Project • Reduce loading on Wind Turbine in wake situation – Impact on O&M cost – Wind Turbine Lifetime extension • Windar Photonics and DTU - Forward-looking lidars - Informaton about wake position, TI and mean wsp How can this information be used in wind turbine control? 3 DTU Wind Energy, Technical University of Denmark V 52 Risø Campus, Roskilde, Denmark

Background and Methodology • How is the fatigue distributed in a wind farm? (1)

Background and Methodology • How is the fatigue distributed in a wind farm? (1) • How can we reduce fatigue loading in a wind farm? (2) • How do we define a benefitial yaw strategy? (3) 4 DTU Wind Energy, Technical University of Denmark

Background and Methodology • How is the fatigue distributed in a wind farm? (1)

Background and Methodology • How is the fatigue distributed in a wind farm? (1) • How can we reduce fatigue loading in a wind farm? (2) • How do we define a benefitial yaw strategy? (3) 5 DTU Wind Energy, Technical University of Denmark

How is the fatigue distributed in a wind farm? • Loading varies with wind

How is the fatigue distributed in a wind farm? • Loading varies with wind direction (Ex. Lillgrund) • HAWC 2 vs measurements 6 DTU Wind Energy, Technical University of Denmark Source: Wake effects above rated speed. An overlooked contributor to high loads in wind farms.

How is the fatigue distributed in a wind farm? • Partial wake TI =

How is the fatigue distributed in a wind farm? • Partial wake TI = 5% 3 D 12 m/s Non-waked case 7 DTU Wind Energy, Technical University of Denmark

How is the fatigue distributed in a wind farm? Objective Reduce Fatigue downstream on

How is the fatigue distributed in a wind farm? Objective Reduce Fatigue downstream on a wake affected turbine 8 DTU Wind Energy, Technical University of Denmark

Background and Methodology • How is the fatigue distributed in a wind farm? (1)

Background and Methodology • How is the fatigue distributed in a wind farm? (1) • How can we reduce fatigue loading in a wind farm? (2) • How do we define a benefitial yaw strategy? (3) 9 DTU Wind Energy, Technical University of Denmark

How can we reduce fatigue loading on a wind farm? • Suggested ways to

How can we reduce fatigue loading on a wind farm? • Suggested ways to reduce fatigue loading on a (1) downstream wind turbine: – Wake steering (1) – Derating of upstream/downstream wind turbine (2) – Yawing downstream turbine (3) – Individual pitch control, cyclic pitching … (3) 10 DTU Wind Energy, Technical University of Denmark

Background and Methodology • How is the fatigue distributed in a wind farm? (1)

Background and Methodology • How is the fatigue distributed in a wind farm? (1) • How can we reduce fatigue loading in a wind farm? (2) • How do we define a benefitial yaw strategy? (3) 11 DTU Wind Energy, Technical University of Denmark

How do we define a benefitial yaw strategy? 12 DTU Wind Energy, Technical University

How do we define a benefitial yaw strategy? 12 DTU Wind Energy, Technical University of Denmark Source: How 2 HAWC 2, the user’s manual

How do we define a benefitial yaw strategy? • Generation of loads and power

How do we define a benefitial yaw strategy? • Generation of loads and power for every: TI and wake origin position Normalized Power 13 DTU Wind Energy, Technical University of Denmark Normalized BF 1 Hz Fatigue Full wake at 3 D from origin and turbulence intensity of 15%.

(1) Load optimization not compromising power • Generation of loads and power for every:

(1) Load optimization not compromising power • Generation of loads and power for every: TI and wake origin position Normalized Power 14 DTU Wind Energy, Technical University of Denmark Normalized BF 1 Hz Fatigue Full wake at 3 D from origin and turbulence intensity of 15%.

(1) Load optimization not compromising power • Load controller depends on the inflow condition:

(1) Load optimization not compromising power • Load controller depends on the inflow condition: Wind speed, TI and wake position Yaw control strategy comparison for ambient TI at 15% 15 DTU Wind Energy, Technical University of Denmark Yaw control strategy comparison for full wake at 3 D and different atmospheric turbulence 15 August 2018

(1) Load optimization not compromising power – Higher reductions for lower TI and high

(1) Load optimization not compromising power – Higher reductions for lower TI and high mean wind speed sites – Small increase on lifetime fatigue in tower top side-side and blade edgewise Lifetime reduction comparison for ambient turbulence intensity 15 % and Weibull distributions with k =2 and A = 6, 8 and 12 m/s. Case Reference 0. 15 3 D TI = 0. 15 4 D TI = 0. 15 5 D TI = 0. 15 3 D +1/2 D TI = 0. 15 3 D -1/2 D TI = 0. 15 16 Lifetime reduction comparison for full wake at 3 D and different ambient turbulence intensities and Weibull distribution with k =2 and A = 6, 8 and 12 m/s. Case -1. 12 % -0. 3 % -0. 2 % -1. 0 % -0. 1 % DTU Wind Energy, Technical University of Denmark -7. 75 % -5. 8 % -6. 6 % -6. 7 % -5. 6 % -5. 1 % 3 D TI = 0. 25 -0. 1 % -2. 2 % 3 D TI = 0. 15 -0. 3 % -5. 8 % 3 D TI = 0. 05 -1. 9 % -19. 5 % 15 August 2018

(2) Example on load alleviation • Define strategy based on load minimization: allow for

(2) Example on load alleviation • Define strategy based on load minimization: allow for loss of power Normalized Power 17 DTU Wind Energy, Technical University of Denmark Normalized BF 1 Hz Fatigue Full wake at 3 D from origin and turbulence intensity of 15%.

(2) Example on load alleviation • Simulation TI = 5% , downstream 3 D

(2) Example on load alleviation • Simulation TI = 5% , downstream 3 D at 12 m/s 18 DTU Wind Energy, Technical University of Denmark

Conclusion • Yaw control can be used to reduce the fatigue in a wind

Conclusion • Yaw control can be used to reduce the fatigue in a wind farm – Inflow information is needed Forward-looking lidars • Achieved Blade Flapwise load reduction depends on site conditions – Slight increase in tower side-side and blade edgewise fatigue • De-rating will be investigated to decrease fatigue in wake-affected flow 19 DTU Wind Energy, Technical University of Denmark

Thank you for your attention 20 DTU Wind Energy, Technical University of Denmark For

Thank you for your attention 20 DTU Wind Energy, Technical University of Denmark For further questions: amur@dtu. dk

Factors Controlling the Critical Loads and Target LoadsFactors Controlling the Critical Loads and Target Loads
Factors Controlling the Critical Loads and Target LoadsFactors Controlling the Critical Loads and Target Loads
Loads and Load Path Design Loads The loadLoads and Load Path Design Loads The load
Speculative Precomputation SP Delinquent loads cachemissing loads SpeculativeSpeculative Precomputation SP Delinquent loads cachemissing loads Speculative
Design Load Dead Loads Vertical Live Loads MooringDesign Load Dead Loads Vertical Live Loads Mooring
STRUCTURAL LOADS Dead Load Dead loads consist ofSTRUCTURAL LOADS Dead Load Dead loads consist of
Debugging Optimized Code Steven Osman Debugging Optimized CodeDebugging Optimized Code Steven Osman Debugging Optimized Code
OPTIMIZED ACADEMIC SCHEDULING COLLEGESCHOOLDEPARTMENT MEETINGS SEPTEMBER 2017 OPTIMIZEDOPTIMIZED ACADEMIC SCHEDULING COLLEGESCHOOLDEPARTMENT MEETINGS SEPTEMBER 2017 OPTIMIZED
OPTIMIZED ACADEMIC SCHEDULING COLLEGESCHOOLDEPARTMENT MEETINGS DECEMBER 2017 OPTIMIZEDOPTIMIZED ACADEMIC SCHEDULING COLLEGESCHOOLDEPARTMENT MEETINGS DECEMBER 2017 OPTIMIZED
Lesson Overview Yaw Pitch and Roll Airplane PartsLesson Overview Yaw Pitch and Roll Airplane Parts
Roll Pitch and Yaw 3 D rotation matricesRoll Pitch and Yaw 3 D rotation matrices
MACROECONOMIC FRAMEWORK AND EMPLOYMENT CREATION Dr Yaw BaahMACROECONOMIC FRAMEWORK AND EMPLOYMENT CREATION Dr Yaw Baah
International Strategy Multidomestic Strategy Global Strategy Transnational StrategyInternational Strategy Multidomestic Strategy Global Strategy Transnational Strategy
Content Strategy Content Strategy Content Strategy Content StrategyContent Strategy Content Strategy Content Strategy Content Strategy
Ys strategy Strategy 1 Strategy 2 Strategy 1Ys strategy Strategy 1 Strategy 2 Strategy 1
Strategy Strategy Phases Strategy Plan l Strategy DocumentStrategy Strategy Phases Strategy Plan l Strategy Document
gniknih T ni a tnereffid yaw Thinking ingniknih T ni a tnereffid yaw Thinking in
DISCIPLESHIP IN THE LOCAL CHURCH PRESENTATION BY YAWDISCIPLESHIP IN THE LOCAL CHURCH PRESENTATION BY YAW
PHYSICAL SCIENCE 436 Teacher Daniel Yaw A AfriyiePHYSICAL SCIENCE 436 Teacher Daniel Yaw A Afriyie