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Design	
  valida,on	
  &	
  op,miza,on	
  of	
  offshore	
  
founda,ons	
  
Founda,on	
  monitoring	
  on	
  offshore	
  wind	
  farms	
  for	
  
O&M	
  op,miza,on	
  and	
  life	
  ,me	
  extension	
  
&	
  
Wout	
  Weijtjens	
  
Vrije	
  Universiteit	
  Brussel	
  /	
  OWI-­‐lab	
  
Work	
  packages	
  
Our	
  Op-wind	
  Team	
  
Prof.	
  dr.	
  ir.	
  Christof	
  Devriendt	
  
christof.devriendt@vub.ac.be	
  
ir.	
  Nymfa	
  Noppe	
  
nymfa.noppe@vub.ac.be	
  
ir.	
  Tim	
  Verbelen	
  
,m.verbelen@vub.ac.be	
  
MEng.	
  Alexandros	
  Iliopoulos	
  
Alexandros.iliopoulos@vub.ac.be	
  
dr.	
  Rasoul	
  Shirzadeh	
  
Has	
  leT	
  the	
  department	
  
dr.ir.	
  Wout	
  Weijtjens	
  	
  
wout.weijtjens@vub.ac.be	
  
Problem	
  descrip,on	
  
Offshore	
  wind	
  turbines	
  are	
  pushing	
  boundaries	
  
	
  -­‐	
  Monopile	
  design	
  remains	
  dominant	
  (	
  >	
  90%	
  )	
  
	
  -­‐	
  Growing	
  mismatch	
  between	
  lab	
  and	
  real-­‐life	
  
	
  	
   	
  -­‐	
  Diameters	
  of	
  7-­‐8	
  m	
  
	
  	
   	
  -­‐	
  6-­‐7	
  MW	
  machine	
  on	
  Monopile	
  
	
  	
   	
  -­‐	
  1200	
  ton	
  weight	
  
Meanwhile	
  the	
  designs	
  remain	
  fa-gue	
  driven	
  	
  
Problem	
  descrip,on	
  
There	
  is	
  a	
  known	
  mismatch	
  between	
  design	
  assump,ons	
  and	
  
real	
  life	
  condi,ons	
  which	
  directly	
  affect	
  fa-gue	
  life!	
  
	
  	
  -­‐	
  Uncertain,es	
  in	
  the	
  soil	
  models	
  
Problem	
  descrip,on	
  
There	
  is	
  a	
  known	
  mismatch	
  between	
  design	
  assump,ons	
  and	
  
real	
  life	
  condi,ons	
  which	
  directly	
  affect	
  fa-gue	
  life!	
  
	
  	
  -­‐	
  Uncertain,es	
  in	
  the	
  soil	
  models	
  
E.g.	
  PISA	
  project	
  in	
  UK	
  
(led	
  by	
  DONG	
  energy)	
  
Problem	
  descrip,on	
  
There	
  is	
  a	
  known	
  mismatch	
  between	
  design	
  assump,ons	
  and	
  
real	
  life	
  condi,ons	
  which	
  directly	
  affect	
  fa-gue	
  life!	
  
	
  	
  -­‐	
  Uncertain,es	
  in	
  the	
  soil	
  models	
  
	
  	
  -­‐	
  Unknown	
  damping	
  behavior	
  
Problem	
  descrip,on	
  
There	
  is	
  a	
  known	
  mismatch	
  between	
  design	
  assump,ons	
  and	
  
real	
  life	
  condi,ons	
  which	
  directly	
  affect	
  fa-gue	
  life!	
  
	
  	
  -­‐	
  Uncertain,es	
  in	
  the	
  soil	
  models	
  
	
  	
  -­‐	
  Unknown	
  damping	
  behavior	
  
	
  	
  	
  -­‐	
  Hydrodynamic	
  loads	
  on	
  very	
  large	
  cylinders	
  
E.g.	
  WiFi	
  JIP	
  project	
  in	
  NL	
  
Problem	
  descrip,on	
  
There	
  is	
  a	
  known	
  mismatch	
  between	
  design	
  assump,ons	
  and	
  
real	
  life	
  condi,ons	
  which	
  directly	
  affect	
  fa-gue	
  life!	
  
	
  	
  -­‐	
  Uncertain,es	
  in	
  the	
  soil	
  models	
  
	
  	
  -­‐	
  Unknown	
  damping	
  behavior	
  
	
  	
  	
  -­‐	
  Hydrodynamic	
  loads	
  on	
  very	
  large	
  cylinders	
  
E.g.	
  WiFi	
  JIP	
  project	
  in	
  NL	
  
Problem	
  descrip,on	
  
What	
  with	
  already	
  built	
  farms?	
  
	
  	
  !	
  uncertain,es	
  have	
  led	
  to	
  overdesign	
  
Poten,al	
  room	
  for	
  life	
  ,me	
  extension	
  or	
  
repowering	
  
Resonance	
  frequency	
  shiT	
  
Operator	
  /	
  Developer	
  driven	
  ques-on:	
  
Were	
  the	
  as	
  designed	
  frequency	
  values	
  correct?	
  
WP5	
  
Resonance	
  frequency	
  shiT	
  
Operator	
  /	
  Developer	
  driven	
  ques-on:	
  
Design	
  valida-on	
  :	
  Were	
  the	
  as	
  designed	
  frequency	
  values	
  correct?	
  
WP5	
  
Resonance	
  frequency	
  shiT	
  
Operator	
  /	
  Developer	
  driven	
  ques-on:	
  
Were	
  the	
  as	
  designed	
  frequency	
  values	
  correct?	
  
As designed frequencies for first mode differ with about
5-10%!
WP5	
  
Resonance	
  frequency	
  shiT	
  
Operator	
  /	
  Developer	
  driven	
  
Stiffer than designed is not Necessarily a good thing
Direct impact on design of Northwind and Nobelwind -> New O&O
Most likely cause > Soil!
WP5	
  
O&M	
  	
  :	
  Scour	
  assessment	
  
Use	
  design	
  valida,on	
  set-­‐up	
  
To	
  check	
  if	
  the	
  resonance	
  	
  
Frequencies	
  are	
  	
  s,ll	
  within	
  an	
  
Acceptable	
  range	
  
!	
  Currently	
  overcompensated	
  
by	
  the	
  s-ffer	
  soil	
  
WP7	
  
Blue: May 2012
Green: November 2013
Red: model
500 1000 1500 2000 2500
1.38
1.4
1.42
1.44
1.46
1.48
1.5
1.52
ResonanceFrequency(SS2)(Hz)
Time
500 1000 1500 2000 2500
−0.04
−0.02
0
0.02
0.04
0.06
0.08
PredictionError(Hz)
Time
Training Use relative error as a damage feature
Residual	
  error	
  leaves	
  3σ	
  boundary	
  
Prediction
O&M	
  Monitoring	
  Resonance	
  Frequencies	
  
SOIL STIFFENING?
Methodology	
  to	
  monitor	
  scour	
  by	
  tracking	
  the	
  resonance	
  frequencies	
  
WP7	
  
 Damping	
  values	
  
2012	
   Damping	
  Es-ma-on	
  of	
  an	
  Offshore	
  Wind	
  Turbine	
  on	
  a	
  Monopile	
  Founda-on	
  	
  
-­‐ 	
  	
  Determined	
  the	
  damping	
  ra,o	
  of	
  the	
  turbine’s	
  
first	
  modes	
  aTer	
  an	
  overspeed	
  stop	
  
-­‐ 	
  Use	
  of	
  ambient	
  vibra,ons	
  to	
  determine	
  the	
  
damping	
  ra,o	
  
FA	
  :	
  	
  1.04%*	
  
SS	
  :	
  1.25%*	
  
FA	
  :	
  1.05%*	
  
*	
  With	
  Tuned	
  Mass	
  Damper	
  turned	
  off	
  
WP5	
  
 Damping	
  values	
  
2013	
   Monitoring	
  of	
  Resonant	
  Frequencies	
  and	
  Damping	
  Values	
  of	
  a	
  Parked	
  	
  
Offshore	
  Wind	
  Turbine	
  on	
  a	
  Monopile	
  Founda-on	
  	
  
A	
  fully	
  automated	
  method	
  to	
  track	
  the	
  first	
  five	
  
resonance	
  frequencies	
  and	
  damping	
  ra,os	
  
con,nuously	
  
Resonance	
  frequencies	
  and	
  damping	
  ra-os	
  
depend	
  on	
  the	
  ambient	
  condi-ons	
  (e.g.	
  Wind	
  
speed,	
  Tidal	
  level)	
  
WP5	
  
 	
  Damping	
  values	
  
2013	
   Monitoring	
  of	
  Resonant	
  Frequencies	
  and	
  Damping	
  Values	
  of	
  a	
  Parked	
  	
  
Offshore	
  Wind	
  Turbine	
  on	
  a	
  Monopile	
  Founda-on	
  	
  
A	
  fully	
  automated	
  method	
  to	
  track	
  the	
  first	
  five	
  
resonance	
  frequencies	
  and	
  damping	
  ra,os	
  
con,nuously	
  
Resonance	
  frequencies	
  and	
  damping	
  ra-os	
  
depend	
  on	
  the	
  ambient	
  condi-ons	
  (e.g.	
  Wind	
  
speed,	
  Tidal	
  level)	
  
WP5	
  
 Damping	
  values	
  
2014	
   Classifying	
  Resonant	
  Frequencies	
  and	
  Damping	
  Values	
  of	
  a	
  Fully	
  	
  
Opera-onal	
  Offshore	
  Wind	
  Turbine	
  
Resonance	
  frequencies	
  and	
  Damping	
  ra-os	
  can	
  shiM	
  
significantly	
  between	
  opera-onal	
  condi-ons	
  
	
  !	
  An	
  es-mate	
  for	
  each	
  opera-onal	
  condi-on	
  
WP5	
  
 Damping	
  values	
  
2015	
   Automated	
  monitoring	
  of	
  five	
  offshore	
  wind	
  turbines	
  in	
  the	
  Belgian	
  North	
  Sea	
  
Mul,	
  algorithm	
  technique	
  :	
  FDD,	
  SSI-­‐COV,	
  polymax	
  
Consistent	
  behavior	
  between	
  turbines	
  and	
  over	
  -me	
  
WP5	
  
Classifying	
  the	
  data	
  
	
  Use	
  par,al	
  SCADA-­‐data	
  to	
  
classify	
  each	
  ten-­‐minute	
  data	
  set	
  
into	
  different	
  opera-onal	
  cases	
  
Get	
  results	
  case-­‐by-­‐case	
  
Case	
  defini,ons	
  can	
  be	
  updated	
  
for	
  different	
  applica,ons	
  
WP5	
  
Cau,on	
  with	
  Harmonics	
  
The	
  original	
  algorithm	
  will	
  falsely	
  iden-fy	
  harmonics	
  as	
  if	
  they	
  
are	
  structural	
  
	
  !	
  Track	
  harmonics	
  and	
  reject	
  unreliable	
  results	
  
WP5	
  
Damping	
  Analysis	
  of	
  FA1	
  and	
  SS1	
  
SS1	
  
FA1	
  
>	
  
WP5	
  
Damping	
  Analysis	
  of	
  FA1	
  
(e.g.	
  Using	
  the	
  SCADA-­‐Windspeed)	
  
(	
  considering	
  only	
  produc6on	
  cases)	
  
WP5	
  
Damping	
  Analysis	
  of	
  SS1	
  
(e.g.	
  Using	
  the	
  SCADA-­‐Windspeed)	
  
(	
  considering	
  only	
  produc6on	
  cases)	
  
WP5	
  
Modeling	
  Damping	
  
Greatest	
  disadvantage	
  of	
  damping	
  determined	
  with	
  OMA	
  :	
  
	
  	
  Only	
  total	
  damping	
  es-mated	
  
-­‐>	
  Has	
  almost	
  no	
  value	
  for	
  current	
  design	
  code!	
  
Accounted	
  for	
  in	
  ,me	
  domain	
  simula,on	
  
(Aero-­‐	
  and	
  Hydro-­‐dynamic	
  loads)	
  
Accounted	
  for	
  in	
  Structural	
  model	
  
Best	
  Es,mate	
  -­‐>	
  Need	
  for	
  full	
  scale	
  measurements!	
  
OMA	
   Design	
  
WP5	
  
Methodology	
  to	
  decompose	
  
	
  in	
  different	
  damping	
  contribu-ons	
  
Mixed	
  method	
  that	
  combines	
  
Simula,ons	
  and	
  Measurements	
  
Modeling	
  damping	
  
•  Loads	
  are	
  modeled	
  correctly?	
  
•  Soil	
  model	
  already	
  ques,oned	
  
•  How	
  to	
  update	
  your	
  damping	
  correctly	
  
•  Based	
  on	
  solely	
  accelera,ons	
  might	
  be	
  insufficient	
  
•  Impact	
  on	
  induced	
  strain	
  of	
  different	
  damping	
  
distribu,ons?	
  -­‐>	
  Fa-gue	
  
WP5	
  
Fa,gue	
  monitoring	
  
•  Issues	
  revealed	
  in	
  modeling	
  fa,gue	
  loads	
  
•  Mo,va,on	
  for	
  direct	
  measurements	
  and	
  
monitoring	
  of	
  fa,gue	
  life!	
  
WP7	
  
Fa,gue	
  monitoring	
  
Hot	
  spot	
  
Monitoring	
  
Stress	
  
Monitoring	
  
Fa,gue	
  
Life	
  Es,ma,on	
  	
  
Farm	
  wide	
  
Fa,gue	
  Life	
  
Con,nuous	
  measurements	
  of	
  the	
  strains	
  
-­‐ 	
  Bending	
  moments	
  at	
  measurement	
  loca-on	
  
-­‐ Comparison	
  with	
  design	
  loads	
  
-­‐ 	
  Local	
  stress	
  cycles	
  
WP7	
  
mudline	
  
waterlevel	
  
hotspot	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  sensing	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Virtual	
  
Robust	
  	
  
maintainable	
  
sensors	
  
WP7	
  
Fa,gue	
  monitoring	
  
Hot	
  spot	
  
Monitoring	
  
Stress	
  
Monitoring	
  
Fa,gue	
  
Life	
  Es,ma,on	
  	
  
Farm	
  wide	
  
Fa,gue	
  Life	
  
Virtual	
  sensing	
  
-­‐ 	
  	
  Stress	
  cycles	
  at	
  Fa-gue	
  cri-cal	
  loca-on	
  
-­‐ 	
  e.g.	
  as	
  defined	
  by	
  design	
  
	
   	
  -­‐	
  Stress	
  cycles	
  at	
  any	
  loca-on	
  
-­‐ 	
  Determine	
  the	
  actual	
  cri-cal	
  loca-on	
  
WP7	
  
Fa,gue	
  monitoring	
  
Hot	
  spot	
  
Monitoring	
  
Stress	
  
Monitoring	
  
Fa,gue	
  
Life	
  Es,ma,on	
  	
  
Farm	
  wide	
  
Fa,gue	
  Life	
  
Rainflow	
  coun,ng	
  on	
  Virtual	
  stress	
  cycles	
  
Assess	
  damage	
  with	
  	
  
	
  -­‐	
  Appropriate	
  S/N-­‐Curves	
  
	
  -­‐	
  Stress	
  concentra9on	
  factors	
  
Assess	
  impact	
  of	
  Corrosion	
  regime	
  	
  >	
  	
  O&M	
  Support	
  	
  
The closer you get,!
the faster you fatigue!
WP7	
  
Fa,gue	
  monitoring	
  
Hot	
  spot	
  
Monitoring	
  
Stress	
  
Monitoring	
  
Fa,gue	
  
Life	
  Es,ma,on	
  	
  
Farm	
  wide	
  
Fa,gue	
  Life	
  
But	
  rainflow	
  coun,ng	
  only	
  gives	
  accumulated	
  damage	
  in	
  the	
  past!	
  
To	
  extrapolate	
  in	
  9me	
  we	
  need	
  to	
  know	
  the	
  link	
  between	
  Damage	
  and	
  :	
  
	
  -­‐	
  Opera9onal	
  condi9ons	
  
	
  -­‐	
  Environmental	
  condi9ons	
  
	
  -­‐	
  Excep9onal	
  load	
  cases	
  
WP7	
  
Fa,gue	
  monitoring	
  
Hot	
  spot	
  
Monitoring	
  
Stress	
  
Monitoring	
  
Fa,gue	
  
Life	
  Es,ma,on	
  	
  
Farm	
  wide	
  
Fa,gue	
  Life	
  
Farm	
  wide	
  fa,gue	
  assessment	
  
-­‐ 	
  Extrapolate	
  the	
  results	
  from	
  the	
  	
  FLEET	
  LEADERS	
  to	
  the	
  en-re	
  farm	
  
-­‐ Turbulence	
  and	
  Turbine	
  interac-ons	
  
-­‐ 	
  Site	
  specific	
  correc-on	
  factors	
  
-­‐ 	
  Different	
  resonance	
  frequencies	
  
-­‐ 	
  Damping	
  values	
  
WP7	
  
What	
  is	
  next?	
  Fleet	
  leader	
  concept	
  
Instrumented	
  Fleet	
  leaders	
  
To	
  predict	
  fa,gue	
  life	
  in	
  the	
  farm	
  
Preliminary	
  	
  work	
  and	
  IWT	
  project	
  proposal	
  Nymfa	
  Noppe	
  
WP7	
  
What	
  is	
  next?	
  O&O	
  Nobelwind	
  
Verifying	
  the	
  lessons	
  learned	
  from	
  Northwind	
  &	
  Belwind	
  
	
  	
  	
  -­‐	
  	
  New	
  	
  design	
  approaches	
  were	
  applied	
  at	
  Nobelwind	
  
	
   	
   	
  e.g.	
  advanced	
  soil	
  modeling	
  	
  
	
   	
   	
  (	
  Construc,on	
  starts	
  Q1	
  2016	
  )	
  
	
  	
  	
  -­‐	
  	
  Monitoring	
  campaign	
  on	
  three	
  wind	
  turbines	
  
	
   	
  -­‐	
  Unique	
  setup	
  with	
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20151202 optiwind design validation-optimization-wp5-foundation-monitoring-wp7-vub

  • 1. Design  valida,on  &  op,miza,on  of  offshore   founda,ons   Founda,on  monitoring  on  offshore  wind  farms  for   O&M  op,miza,on  and  life  ,me  extension   &   Wout  Weijtjens   Vrije  Universiteit  Brussel  /  OWI-­‐lab  
  • 3. Our  Op-wind  Team   Prof.  dr.  ir.  Christof  Devriendt   christof.devriendt@vub.ac.be   ir.  Nymfa  Noppe   nymfa.noppe@vub.ac.be   ir.  Tim  Verbelen   ,m.verbelen@vub.ac.be   MEng.  Alexandros  Iliopoulos   Alexandros.iliopoulos@vub.ac.be   dr.  Rasoul  Shirzadeh   Has  leT  the  department   dr.ir.  Wout  Weijtjens     wout.weijtjens@vub.ac.be  
  • 4. Problem  descrip,on   Offshore  wind  turbines  are  pushing  boundaries    -­‐  Monopile  design  remains  dominant  (  >  90%  )    -­‐  Growing  mismatch  between  lab  and  real-­‐life        -­‐  Diameters  of  7-­‐8  m        -­‐  6-­‐7  MW  machine  on  Monopile        -­‐  1200  ton  weight   Meanwhile  the  designs  remain  fa-gue  driven    
  • 5. Problem  descrip,on   There  is  a  known  mismatch  between  design  assump,ons  and   real  life  condi,ons  which  directly  affect  fa-gue  life!      -­‐  Uncertain,es  in  the  soil  models  
  • 6. Problem  descrip,on   There  is  a  known  mismatch  between  design  assump,ons  and   real  life  condi,ons  which  directly  affect  fa-gue  life!      -­‐  Uncertain,es  in  the  soil  models   E.g.  PISA  project  in  UK   (led  by  DONG  energy)  
  • 7. Problem  descrip,on   There  is  a  known  mismatch  between  design  assump,ons  and   real  life  condi,ons  which  directly  affect  fa-gue  life!      -­‐  Uncertain,es  in  the  soil  models      -­‐  Unknown  damping  behavior  
  • 8. Problem  descrip,on   There  is  a  known  mismatch  between  design  assump,ons  and   real  life  condi,ons  which  directly  affect  fa-gue  life!      -­‐  Uncertain,es  in  the  soil  models      -­‐  Unknown  damping  behavior        -­‐  Hydrodynamic  loads  on  very  large  cylinders   E.g.  WiFi  JIP  project  in  NL  
  • 9. Problem  descrip,on   There  is  a  known  mismatch  between  design  assump,ons  and   real  life  condi,ons  which  directly  affect  fa-gue  life!      -­‐  Uncertain,es  in  the  soil  models      -­‐  Unknown  damping  behavior        -­‐  Hydrodynamic  loads  on  very  large  cylinders   E.g.  WiFi  JIP  project  in  NL  
  • 10. Problem  descrip,on   What  with  already  built  farms?      !  uncertain,es  have  led  to  overdesign   Poten,al  room  for  life  ,me  extension  or   repowering  
  • 11. Resonance  frequency  shiT   Operator  /  Developer  driven  ques-on:   Were  the  as  designed  frequency  values  correct?   WP5  
  • 12. Resonance  frequency  shiT   Operator  /  Developer  driven  ques-on:   Design  valida-on  :  Were  the  as  designed  frequency  values  correct?   WP5  
  • 13. Resonance  frequency  shiT   Operator  /  Developer  driven  ques-on:   Were  the  as  designed  frequency  values  correct?   As designed frequencies for first mode differ with about 5-10%! WP5  
  • 14. Resonance  frequency  shiT   Operator  /  Developer  driven   Stiffer than designed is not Necessarily a good thing Direct impact on design of Northwind and Nobelwind -> New O&O Most likely cause > Soil! WP5  
  • 15. O&M    :  Scour  assessment   Use  design  valida,on  set-­‐up   To  check  if  the  resonance     Frequencies  are    s,ll  within  an   Acceptable  range   !  Currently  overcompensated   by  the  s-ffer  soil   WP7  
  • 16. Blue: May 2012 Green: November 2013 Red: model 500 1000 1500 2000 2500 1.38 1.4 1.42 1.44 1.46 1.48 1.5 1.52 ResonanceFrequency(SS2)(Hz) Time 500 1000 1500 2000 2500 −0.04 −0.02 0 0.02 0.04 0.06 0.08 PredictionError(Hz) Time Training Use relative error as a damage feature Residual  error  leaves  3σ  boundary   Prediction O&M  Monitoring  Resonance  Frequencies   SOIL STIFFENING? Methodology  to  monitor  scour  by  tracking  the  resonance  frequencies   WP7  
  • 17.  Damping  values   2012   Damping  Es-ma-on  of  an  Offshore  Wind  Turbine  on  a  Monopile  Founda-on     -­‐     Determined  the  damping  ra,o  of  the  turbine’s   first  modes  aTer  an  overspeed  stop   -­‐   Use  of  ambient  vibra,ons  to  determine  the   damping  ra,o   FA  :    1.04%*   SS  :  1.25%*   FA  :  1.05%*   *  With  Tuned  Mass  Damper  turned  off   WP5  
  • 18.  Damping  values   2013   Monitoring  of  Resonant  Frequencies  and  Damping  Values  of  a  Parked     Offshore  Wind  Turbine  on  a  Monopile  Founda-on     A  fully  automated  method  to  track  the  first  five   resonance  frequencies  and  damping  ra,os   con,nuously   Resonance  frequencies  and  damping  ra-os   depend  on  the  ambient  condi-ons  (e.g.  Wind   speed,  Tidal  level)   WP5  
  • 19.    Damping  values   2013   Monitoring  of  Resonant  Frequencies  and  Damping  Values  of  a  Parked     Offshore  Wind  Turbine  on  a  Monopile  Founda-on     A  fully  automated  method  to  track  the  first  five   resonance  frequencies  and  damping  ra,os   con,nuously   Resonance  frequencies  and  damping  ra-os   depend  on  the  ambient  condi-ons  (e.g.  Wind   speed,  Tidal  level)   WP5  
  • 20.  Damping  values   2014   Classifying  Resonant  Frequencies  and  Damping  Values  of  a  Fully     Opera-onal  Offshore  Wind  Turbine   Resonance  frequencies  and  Damping  ra-os  can  shiM   significantly  between  opera-onal  condi-ons    !  An  es-mate  for  each  opera-onal  condi-on   WP5  
  • 21.  Damping  values   2015   Automated  monitoring  of  five  offshore  wind  turbines  in  the  Belgian  North  Sea   Mul,  algorithm  technique  :  FDD,  SSI-­‐COV,  polymax   Consistent  behavior  between  turbines  and  over  -me   WP5  
  • 22. Classifying  the  data    Use  par,al  SCADA-­‐data  to   classify  each  ten-­‐minute  data  set   into  different  opera-onal  cases   Get  results  case-­‐by-­‐case   Case  defini,ons  can  be  updated   for  different  applica,ons   WP5  
  • 23. Cau,on  with  Harmonics   The  original  algorithm  will  falsely  iden-fy  harmonics  as  if  they   are  structural    !  Track  harmonics  and  reject  unreliable  results   WP5  
  • 24. Damping  Analysis  of  FA1  and  SS1   SS1   FA1   >   WP5  
  • 25. Damping  Analysis  of  FA1   (e.g.  Using  the  SCADA-­‐Windspeed)   (  considering  only  produc6on  cases)   WP5  
  • 26. Damping  Analysis  of  SS1   (e.g.  Using  the  SCADA-­‐Windspeed)   (  considering  only  produc6on  cases)   WP5  
  • 27. Modeling  Damping   Greatest  disadvantage  of  damping  determined  with  OMA  :      Only  total  damping  es-mated   -­‐>  Has  almost  no  value  for  current  design  code!   Accounted  for  in  ,me  domain  simula,on   (Aero-­‐  and  Hydro-­‐dynamic  loads)   Accounted  for  in  Structural  model   Best  Es,mate  -­‐>  Need  for  full  scale  measurements!   OMA   Design   WP5  
  • 28. Methodology  to  decompose    in  different  damping  contribu-ons   Mixed  method  that  combines   Simula,ons  and  Measurements  
  • 29. Modeling  damping   •  Loads  are  modeled  correctly?   •  Soil  model  already  ques,oned   •  How  to  update  your  damping  correctly   •  Based  on  solely  accelera,ons  might  be  insufficient   •  Impact  on  induced  strain  of  different  damping   distribu,ons?  -­‐>  Fa-gue   WP5  
  • 30. Fa,gue  monitoring   •  Issues  revealed  in  modeling  fa,gue  loads   •  Mo,va,on  for  direct  measurements  and   monitoring  of  fa,gue  life!   WP7  
  • 31. Fa,gue  monitoring   Hot  spot   Monitoring   Stress   Monitoring   Fa,gue   Life  Es,ma,on     Farm  wide   Fa,gue  Life   Con,nuous  measurements  of  the  strains   -­‐   Bending  moments  at  measurement  loca-on   -­‐ Comparison  with  design  loads   -­‐   Local  stress  cycles   WP7  
  • 32. mudline   waterlevel   hotspot                              sensing                              Virtual   Robust     maintainable   sensors   WP7  
  • 33. Fa,gue  monitoring   Hot  spot   Monitoring   Stress   Monitoring   Fa,gue   Life  Es,ma,on     Farm  wide   Fa,gue  Life   Virtual  sensing   -­‐     Stress  cycles  at  Fa-gue  cri-cal  loca-on   -­‐   e.g.  as  defined  by  design      -­‐  Stress  cycles  at  any  loca-on   -­‐   Determine  the  actual  cri-cal  loca-on   WP7  
  • 34. Fa,gue  monitoring   Hot  spot   Monitoring   Stress   Monitoring   Fa,gue   Life  Es,ma,on     Farm  wide   Fa,gue  Life   Rainflow  coun,ng  on  Virtual  stress  cycles   Assess  damage  with      -­‐  Appropriate  S/N-­‐Curves    -­‐  Stress  concentra9on  factors   Assess  impact  of  Corrosion  regime    >    O&M  Support     The closer you get,! the faster you fatigue! WP7  
  • 35. Fa,gue  monitoring   Hot  spot   Monitoring   Stress   Monitoring   Fa,gue   Life  Es,ma,on     Farm  wide   Fa,gue  Life   But  rainflow  coun,ng  only  gives  accumulated  damage  in  the  past!   To  extrapolate  in  9me  we  need  to  know  the  link  between  Damage  and  :    -­‐  Opera9onal  condi9ons    -­‐  Environmental  condi9ons    -­‐  Excep9onal  load  cases   WP7  
  • 36. Fa,gue  monitoring   Hot  spot   Monitoring   Stress   Monitoring   Fa,gue   Life  Es,ma,on     Farm  wide   Fa,gue  Life   Farm  wide  fa,gue  assessment   -­‐   Extrapolate  the  results  from  the    FLEET  LEADERS  to  the  en-re  farm   -­‐ Turbulence  and  Turbine  interac-ons   -­‐   Site  specific  correc-on  factors   -­‐   Different  resonance  frequencies   -­‐   Damping  values   WP7  
  • 37. What  is  next?  Fleet  leader  concept   Instrumented  Fleet  leaders   To  predict  fa,gue  life  in  the  farm   Preliminary    work  and  IWT  project  proposal  Nymfa  Noppe   WP7  
  • 38. What  is  next?  O&O  Nobelwind   Verifying  the  lessons  learned  from  Northwind  &  Belwind        -­‐    New    design  approaches  were  applied  at  Nobelwind        e.g.  advanced  soil  modeling          (  Construc,on  starts  Q1  2016  )        -­‐    Monitoring  campaign  on  three  wind  turbines      -­‐  Unique  setup  with  strain  gauges  on  the  monopile