September 2022 - 14

feature | digital twins
To truly realize business value, digital twins should not be narrowly focused on siloed solutions as they are
typically ineffi cient, error prone, hard to maintain, and not scalable enough to keep up with growth.
discharge. Th is is then compared to the
manufacturer's pump curve. Combining
this information with data collected from
the running pump instrumentation provides
the digital twin with the as-operating
data to properly simulate pump performance.
Th is performance can then properly
access expected inputs, such as minimum
and maximum fl ow, high temperatures,
lubrication requirements, pressure deviations,
and variable-speed-drive (VSD)
inputs.
A digital twin that is fully integrated into
the EAM/CMMS and alarm systems can
quickly assist operating teams in correcting
performance and operational conditions.
Expand that across all critical systems and
it's easy to see that digital twins can process
hundreds, even thousands, of operating
conditions, and analyze numerous devia14
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tions, all while providing operating teams
with actionable information.
Oſt en, organizations purchase perceived
" easier " or " cheaper " solutions that allow
increased savings for further investment.
With digital twins, taking the perceived easy
way out can create a tremendous downside
for the operation.
As previously mentioned, siloes are detrimental
to the ability to train digital-twin
models to solve business problems. With
some down-level solutions, the need for
ineffi cient manual manipulation of models
increases and there is a higher likelihood
models are not receiving all of the data
required to deliver maximum potential
from the digital twins.
If you start to create a culture of data
across business lines and open data sources
for model consumption, the entire picture
becomes clearer. You can quantify data and
how it aff ects performance. By aligning clear
and quality data to your major investments,
you're creating the potential to derive
tremendous value from digital twins. EP
Mark Childs is an Energy Industry Subject
Matter Expert for GE Digital, San Ramon,
CA (ge.com/digital). Childs has more than
45 years of energy-industry experience,
including various leadership roles in GE's Gas
Power O&M organization and GE's Total
Plant Optimization organization.
Walter Ravelo has 32 years of powerindustry
experience and is currently a Sr.
Director leading the GE Digital Solutions
Team for the Americas. Prior to this, Ravelo
served with GE Engineering Services as an
Industry Manager for Power Generation and
was the Global Project Engineering Manager
for power, oil & gas, aviation, and mining
industries for the GE SmartSignal analytics
product line.
SEPTEMBER 2022
http://www.ge.com/digital http://www.EFFICIENTPLANTMAG.COM

September 2022

Table of Contents for the Digital Edition of September 2022

September 2022 - Cover1
September 2022 - Cover2
September 2022 - 1
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