pointing to the right direction - ewea · pointing to the right direction –ewea malmö 2014...
TRANSCRIPT
Pointing to the right direction
Eduardo Gil Marín
Data Analysis Engineer
Henrik Sundgaard Pedersen
Head of Data Analysis and Reporting
EWEA Malmö, December 2014
How does ROMO Wind increase the
production of a wind turbine ?
Adjusting wind vanes according to the yaw misalignment measurement from
a Spinner Anemometer
Pointing to the right direction – EWEA Malmö 2014
Spinner Anemometer: what measures?
Cutting-edge application: 3 single-path sonic sensor rotating with the spinner
Measures: Wind Vector
Wind Speed ✓
Yaw Misalignment ✓
Flow Inclination ✓
Turbulence Intensity ✓
Air Temperature
Angular rotor speed
Add-in:
Nacelle Position
Air Pressure (calculate air density ✓)
Pointing to the right direction – EWEA Malmö 2014
*Power Curve Working Group: sensitive parameters of turbine performance ✓
Yaw Misalignment Facts I
Pointing to the right direction – EWEA Malmö 2014
STATIC YAW MISALIGNMENT
58% with YM>4 degree
120 studied WT
72 ajusted wind vanes
21 WT models
YAW MISALIGNMENT ~ ERROR
0 degree is the reference value
Static Yaw Misalignment Accuracy of wind vane
Dynamic Yaw Misalignment Precision of yaw control system
Energy Loss and High Loads
DYNAMIC
WT ModelAdjustment
Recommendation (%)
A 88.2
B 84.6
C 58.8
D 72.7
E 20.0
F 37.5
Others 46.2
STATIC
Yaw Misalignment Facts II
Pointing to the right direction – EWEA Malmö 2014
DYNAMIC YAW MISALIGNMENT
Average of dynamic: 4°
Related to yaw algorithm
Variable with wind speed
Additional:
0.2-1.5% optimization
Result table: energy loss vs yaw misalignment
Average optimization :1.7%
Yaw misalignment
(degree)
Annual Potential Loss
due to yaw misalignment
(%)
2 0.12
4 0.49
6 1.09
8 1.94
10 3.02
15 6.70
20 11.70
WTG 2 MW
2000 hours (efl) &70€/MWh
120MWh/year
8400 €/year
Validation of energy loss
Pointing to the right direction – EWEA Malmö 2014
𝑅𝑖𝑗 =𝑃𝑖𝑗
𝑃𝑖0
Yaw Misalignment
0 1 . . j .
Win
d s
pe
ed
(m
/s) 0 .
0.5 .
. .
. .
i 1 Ri1 . . Rij
.
25
10-min bin WS, YM and Power
Study Case: Entire Wind Farm Power Curve Verification
2.5% improvement according to AEP
using PC before and after adjustment
2.6% improvement according to Vattenfall using reference turbine
The Theory: energy loss calculation
Skew Area
Jørgen Højstrup theory
DNV GL Verification
Bladed software
Pointing to the right direction – EWEA Malmö 2014
𝑃𝐶𝑌𝑀(𝑊𝑆𝑃𝐶 ∗ 𝑐𝑜𝑠𝑌𝑀, 𝑃𝑃𝐶)
Leasson Learned: SCADA PC issueStudy Case:
Change in Nacelle Anemometer Ratio
before and after the adjustment
Pointing to the right direction – EWEA Malmö 2014
7° YMcos2
theory
SCADA
Nacelle
Anemometer
Spinner
Anemometer
AEP diff
before/after1.9% -10% 1.7%
Reference Wind Turbine
Conclusions
Pointing to the right direction – EWEA Malmö 2014
Enhanced performance after adjusting wind vane according Spinner Anemometer
yaw misalignment measurements
Spinner Anemometer measures wind vector at the rotor of Wind Turbine
More than 58% wind turbines have a significant yaw misalignment
Lack of wind vane accuracy + poor yaw control algorithm
Experimental calculation of adjustment effect follows cos2 theory verified by DNV GL
Study cases show nacelle anemometer can not be used to check the effect of yaw
misalignment correction
Need a Met Mast, Spinner Anemometer or Reference Wind Turbine
Thank you for your attention!Eduardo Gil Marín Henrik Sundgaard Pedersen