WPNL 202202

Onshore
5.844 Onshore MW
(+532 5.844 MW in 2022)
(+532 MW in 2022)
Offshore
2.460
Offshore
MW
2.460 MW
(+0 MW in 2022)
(+0 MW in 2022)
Total
Total
8.303 MW
8.303 MW
2.871 wind turbines
2.871 wind turbines
Wind Energy in the Netherlands
Wind Energy in the Netherlands
2022 so far
2022 so far
Eize de Vries
Digitalisation
Wind industry
digitalisation: ‘Current
status and future outlook’
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Largest new wind farms
Largest new wind farms
MW
MW
WP Zeewolde
95
WP Zeewolde
95
Kroningswind
80
Kroningswind
80
Oostpolder
60
Oostpolder
Windenergie A16*
60
51
Windenergie
Tweede Maasvlakte
A16*
51
42
Tweede Pottendijk Maasvlakte
42 36
Pottendijk Greenport Venlo
36 35
Greenport Den Tol Venlo
35 32
Den Other Tol(8 wind farms) 100 32
Other *not yet (8 completed wind farms) 100
*not yet completed
source: www.WindStats.nl
source: www.WindStats.nl
WindStats
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over windenergie in Nederland
over windenergie in Nederland
© © WindStats.nl 2022 2022
Commissioned in 2022
Commissioned in 2022
Decommissioned 2022
Decommissioned 2022
A number of medium to small wind farms has been completed in
2022.e A number separate of medium windfarms to small that wind together farms has comprise been completed 'Windenergie in
A16' 2022.e are being separate erected windfarms at the time that of together writing. e comprise Zeewolde 'Windenergie
wind farm,
for A16' which are being aconstruction erected started at the time in 2021, of writing. is toutede as being Zeewolde both wind the farm,
largest for which Dutch construction onshore wind started farm in as 2021, well as is touted the largest as being wind both farm the in the
world largest that Dutch is fully onshore owned wind by local farm land as well owners. as the largest wind farm in the
world that is fully owned by local land owners.
Windpowernl magazine highlights digitalisation definition, main principles and
benefits for industrialisation and product & process-related optimised lifecycle
performance.
Digitalisation as a concept definition covers a wide
range of (industrial) activities, with wide impact at
products and processes from design and
manufacturing to lifecycle upkeep support. It has
also become a key wind industry enabler for speeding up
industrialisation and automation efforts now demand grows fast
and volumes must increase in parallel.
This is also crucial for accelerating energy transition towards a
sustainable power supply based on renewables, and for rapidly
reducing dependence on fossil fuels for curbing climate change
as well as geopolitical reasons. The wind industry besides huge
opportunities faces major supply-chain disruptions, plus huge
cost pressures including steep rises in essential materials.
Early initiatives
Digitalisation at turbine level commenced already over two
decades ago. Early modest initiatives were typically characterised
by putting sensors in prototype gearboxes for testing purposes
and/or in serial produced geared and direct drive drivetrains for
condition monitoring and accumulating operational data.
Siemens Wind Power (Siemens Gamesa) during 1998 introduced
its first condition monitoring system (CMS). It focused at
providing a low-cost solution for simple management of key data
and expansion and refinement over time. The system further
served as a testing platform for envisaged future offshore
application. The initial concept comprised three vibration
analysis accelerometers, known as robust without moving parts,
and mounted at the gearbox, generator and main shaft bearing
respectively. This uncomplicated analytical tool allowed analysts
‘to seeing things’ before they turned into a failure. Data
accumulation and analysis involved rotational speed, frequency
analysis and trend analysis, with a data back-up capability and
fresh opportunities to draw from if something occurred ‘to look
unusual or strange.’
Today’s advanced turbines incorporate many sensors at critical
spots for monitoring operating status and (changes in) relevant
parameters compared to reference values like set after running-in
period ending. Key variables include rotor speed, main
component vibrations and/or operating temperatures and
temperatures inside and outside the nacelle, and blade loads.
Optimal utilisation
Turbine SCADA-based control systems continuously record,
analyse and store incoming signals and regulates turbines such
that energy in the wind is always optimally utilised plus operating
safety ensured. Further common are dual or redundant sensors
for critical components and functions like generator temperature
control and direct drive generator airgap monitoring. If during
operation the first sensor fails, a second similar device takes over
the function instantly.
OEM’s today monitor turbines and wind farms remotely from
dedicated centres with various expertise levels from experienced
technicians up to highly trained experts. These address any issues
from rather straightforward solved by a remote restart to
complex problems that could lead to catastrophic failures
without physical intervention. Data acquisition thus requires in
parallel high-level technical knowledge plus statistical and
analytical skills for adequate data analysis and data
interpretation.
One complex issue explained to me was on a wind farm where
one out of 80 turbines showed much higher nacelle temperature
levels. The experts analysed temperatures in all main
components, possible deviations in component/system vibration
02-2022 | 7