interested in making predictions of weather, temperature or precipitation, for example, together with inputs such as wind speed
and wind direction.
“You can learn from the past and build models that can say
with some degree of accuracy what is going to be the wind speed
and direction in the next hour and the next 24 hours,” he said.
“Those can be important inputs with respect to how the grid
accepts what is coming from the wind energy generator.”
With respect to performance, having sensors that monitor
the behavior of turbines on an individual basis, and the wind
farm collectively, can be a valuable process, he said. Analysis
of that data can determine the conditions in which the turbines
have under-performed in the past and be applied to operations
in the future.
He said that the same type of analyses can be applied for predictive maintenance of individual turbine components to identify
conditions, such as pressure, temperature, wind speed, and precipitation, when equipment has failed.
Battelle works with companies to bring multiple sources of
data into one easy-to-use platform that allows operators to learn
from their data and then use that knowledge to make decisions.
Through its Elucidata service, Battelle gives energy companies
access to a large group of subject matter experts across a variety
Data management provider OSIsoft’s experience working with
offshore oil rigs on condition-based maintenance helped the company support Dong Energy in using data and analytics to understand how to do the maintenance that was needed on its offshore
wind turbines at the right time and the lowest cost.
According to Chris Crosby, principal – global nuclear and
renewable energy for OSIsoft, Dong Energy took the data that
was available on its wind tur-
bine generators and moved it
into OSIsoft’s scalable, open
data infrastructure, called
PI, to do condition-based
maintenance. Dong Energy
also moved that data into its
asset management system so
that its managers could cre-
ate work orders. In addition,
the company used its data to
established a map that pro-
vided a visual status of the
Integrating its data into the
three technologies allowed
the wind farm managers to
have a visual of what was
happening in a particular
wind farm, and drill down
into a specifc wind turbine
to see the work fow status on
that machine, Crosby said.
Dong Energy saved 20 million
euro per year as a result of
that integration initiative.
According to Crosby, moni-
toring and understanding the
health of an asset, and bring-
ing that visually to managers
within an organization, sup-
ports similar business prob-
lems, no matter the business.
“One is oil rigs and one is
wind turbines,” he said.
One of the real strengths of
PI is that it allows managers
to perform predictive analytics — projecting and forecasting before an event, according to Kevin Walsh, industry
principal – T&D, for OSIsoft.
“Anything that can help achieve
those [cost] targets or make them
more certain to be achieved
is going to be in demand.”
—Tom Adams, ABS Group