for offshore wind to help developers identify and mitigate risk.
ABS Group Vice President of Power Business Development Tom
Adams believes that the company can leverage its experience in
risk mitigation for offshore wind and its work with offshore oil
and gas analytics to bring big data analytics to the operational
phase of offshore wind projects.
“Our involvement in offshore wind in this particular area is
early days — it’s something of great interest to us and we think a
growing focus and priority for the offshore wind industry global-
ly,” Adams said. “There are several drivers that lead us to believe
that a high level of sophistication and analytical ‘horse power’
will be needed.”
One of the main drivers he sees in the latest large-scale off-
shore wind projects is the very aggressive cost that the develop-
ers are bidding for their power.
“We see that on the front end on the capital investments side
and the EPC phase, which we’re more heavily involved in these
days as a project certifcation service provider,” he said.
The cost of building offshore wind farms is coming down tre-
mendously as the scale of new projects has grown. Those costs
are moving very aggressively through all parts of the sup-
ply chain, and ABS Group sees the same cost pressures and
aggressive targets translating
to the O&M phase of projects
“Anything that can help
achieve those targets or
make them more certain to
be achieved is going to be in
demand,” Adams said.
Srikanta Mishra, Ph.D.,
Institute Fellow and chief scientist for energy at Battelle, believes the application of
data analytics in three specifc areas of offshore oil and
gas environments — forecasting, equipment performance
and predictive maintenance
— is “readily translated” to
offshore wind energy.
In terms of forecasting,
Mishra said, offshore wind
farm operators would be
Platforms Ellen and Elly offshore near Long
Beach, Calif. Credit: US Bureau of Safety and
Environmental Enforcement | Flickr.