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Increased Business Value with Digital TwinsThe Energiforsk Annual Nuclear Conference 20182018-01-24
Hans Bjarnehed, ÅFJakob Dotevall, Vattenfall, Ringhals
One thing is for sure…
“few things are used in the way they are designed”
3
2002
2018
DT
The History and Future of Digital Twins
Affordable DT solutions
1939 1989
wwwDC
Business values
• Overview of current status • Predictive Maintenance• Predictive Investments• Optimal operation
Bu
sin
ess
inte
llige
nce
sys
tem
Smart
Intelligent
Level 0
Digital model
of asset
The Digital Twin Levels
Level 2Diagnostics
of asset
Level 3Prognostics
of asset
Level 1Connected
asset
Level 4AI
Level 5Master
Smart
Smart
Intelligent
Value
Digital funcionality
Historical data
The ÅF Digital Twin Creation Process
Twin model development
Mathematical modelData architecture
System dependence
Interface design
Identify valueSpecify requirements
Required systems interactivity
Twin model validation
Verify twin correctness against historical data and real-time
production data
Twin maturity
Detail scope by deciding required twin maturity
Implementation & Change
Technical implementationOrganizational development
Change management
7
One other thing is for sure…
“the winner will be the one who master the data”
© Ringhals AB
A DIGITAL TWIN AT RINGHALS NPP
Energiforsk Annual Nuclear Conference 2018 2018-01-24, Jakob Dotevall
Confidentiality - Critical (C4),
High (C3), Medium (C2), None
(C1)
DIGITAL TWINS AT RINGHALS?
© Ringhals AB
TURBINE PLANT AT RINGHALS UNIT 3
© Ringhals AB
SIMULATION MODEL
© Ringhals AB
WHY A DIGITAL TWIN?
Input from measurements Theoretical power output
LEVEL 1
© Ringhals AB
WHY A DIGITAL TWIN?
Measured power output Theoretical power output
Diagnosting turbine state LEVEL 1LEVEL 2
© Ringhals AB
WHY A DIGITAL TWIN?
Measured power output Theoretical power output
Diagnosting turbine state
Forecasting
LEVEL 1LEVEL 2LEVEL 3
© Ringhals AB
OPINIONS
”We see the model as a tool to
achieve the best possible efficiency
for the turbine plants.
The turbine operators use the
model daily to trend the efficiency
and to counter any reductions.”
Magnus Kruse,
turbine operation
”We see the model as a tool to
achieve the best possible efficiency
for the turbine plants.
The turbine operators use the
model daily to trend the efficiency
and to counter any reductions.”
Magnus Kruse,
turbine operation
What value do you see with the digital twin of the turbine plant?
”In my role as operation manager I
can track the performance of the
plant and react to changes in the
process to prevent any production
losses.
”In short, we have benefited greatly
from the model.”
Olafur Olafsson,
operation management
”In my role as operation manager I
can track the performance of the
plant and react to changes in the
process to prevent any production
losses.
”In short, we have benefited greatly
from the model.”
Olafur Olafsson,
operation management
”At several times the models have
been very useful for detecting
faults in the plants in an early
phase. The early detection of faults
means that it is easier to plan and
perform necessary repairs.”
Lars Ewald,
specialist turbine analysis
”At several times the models have
been very useful for detecting
faults in the plants in an early
phase. The early detection of faults
means that it is easier to plan and
perform necessary repairs.”
Lars Ewald,
specialist turbine analysis