About Duke Energy M&D Center Scope of Work There are separate - - PowerPoint PPT Presentation
About Duke Energy M&D Center Scope of Work There are separate - - PowerPoint PPT Presentation
M&D Center About Duke Energy M&D Center Scope of Work There are separate M&D Centers for the regulated and the commercial sides of the business. The M&D Center for regulated generation is divided into three functional
SLIDE 1
SLIDE 2
About Duke Energy
SLIDE 3
M&D Center Scope of Work
- There are separate M&D Centers for the regulated and the commercial
sides of the business.
- The M&D Center for regulated generation is divided into three functional
areas:
- Thermal Performance and Testing
- Real time performance monitoring and analysis
- Field testing and support
- Dispatch heat rate curve automation
- Reliability and CBM
- CBM process development and ownership (EPRI Maintenance and Reliability Model)
- CBM analysis and support for the fleet
- Advanced Pattern Recognition Monitoring Program
- SmartM&D (new sensors monitored by APR group)
- Scope and project development
- Installation and implementation
SLIDE 4
M&D Center Thermal Performance Team Mission
- We help the plants maintain a competitive position in the market by
providing real time heat rate monitoring, on-site testing and in-depth analysis of plant performance.
- We use first principles modeling software to monitor plant and system thermal
- performance. The software compares actual plant efficiency to their desired targets.
- We provide turnkey expertise and resources to test equipment and system
performance on site. Our service ranges from individual components to total systems.
- We partner with the stations to help them understand what factors are hurting
performance and what they can do to restore it to the desired level.
- We perform studies for the plants to determine the efficiency and operating
performance impact of proposed changes in the plant configuration.
- We ensure that the unit heat rate curves used for dispatching accurately reflect unit
performance and seasonal conditions.
SLIDE 5
Real Time Cycle Performance Summary
Cycle Performance:
- Heat balance
- Component Drill
Down
SLIDE 6
Standard CT Screens
Performance Parameters:
- Gross MW
- Heat Rate
- Compressor Efficiency
- Pressure Ratio
SLIDE 7
Real Time Controllable Loss Summary
Controllable Loses:
- MW Impact
- $/hour
SLIDE 8
Compressor Performance Curve
Baseload Efficiency:
- Red – Target
- Yellow – Clean
- Blue - Actual
SLIDE 9
BOP Equipment - Pump Performance Curve
- Performance of
equipment can be monitored
- Design head and
design efficiency are compared to current
- peration
SLIDE 10
Dispatch Curve Automation Project
- Moves from an annually
updated dispatch curve to being performance driven
- Uses thermodynamic
modeling software to estimate energy input to cycle
- Reflects current equipment
performance and ambient conditions.
Trend of Input-Output Curves VirtualPlant vs. EtaPRO Calculation Yellow – Dispatch Curve Cyan – Current Operation
SLIDE 11
M&D Center Thermal Performance Deliverables
- Real-time controllable loss and cycle performance reports will be readily
available to any plant user.
- Monthly controllable loss summaries will be provided at the unit level and
the region level.
- Dispatch curve review and adjustment is triggered when the notified and
the real time heat rate curves deviate by 1% or more.
- The center is developing more rigorous cooling tower and heat
exchanger models.
- The virtual plant model is capable of “what-if” parametric studies.
SLIDE 12
M&D Center APR Team Mission
- Our mission is to help the plants improve long term reliability and
cost by predicting equipment problems that will evolve from fault to failure 24 hours or more into the future.
- We use Advanced Pattern Recognition software to monitor plant equipment
- peration. The software detects subtle deviations from normal operation that
can be used as early indicators of future problems.
- We partner with the stations and fleet technical support to capture their
knowledge of the equipment. We build this knowledge into our models to free the plants from repetitive monitoring. This allows them to focus on emerging issues instead.
- We are part of the fleet-wide Maintenance and Reliability process that
manages risk and reliability at the lowest possible cost.
SLIDE 13
Evolution of the APR Program
- Legacy Progress
- Started with the CT fleet in 2004
- Expanded to the fossil fleet in 2007
- Process Data – Prism APR tool
- Legacy Progress – 27 Fossil Units (now
15), 10 CC’s, 140+ CT’s
- >3500 APR Models
- >35,000 points monitored every 5
minutes
- Dedicated resources assigned to APR
and Thermal Performance monitoring
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SLIDE 14
Evolution of the APR Program
- Expansion After the Duke merger
- Legacy Duke – 29 Fossil Units, 4 CC’s,
63 CT’s, 8 PS, 9 Hydro
- >3000 APR Models
- >30,000 Points monitored every 5
minutes
- Regional Locations, Charlotte, Raleigh,
Indianapolis
- 5 team members dedicated to APR. Mix
- f new employees, field support and plant
experience.
- Roughly 35 unique model types
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SLIDE 15
Evolution of the APR Program
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SLIDE 16
APR Philosophy
- Maintain credibility by reviewing and screening all APR alarms before
sharing with the stations
- Focus on reliability finds
- Avoid any commitment to operational finds that would evolve in less than 24 hours
- We are not an extension of the operators. We are an extension of CBM.
- Integrate with the plant Maintenance and Reliability process
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SLIDE 17
- Vibration
- Thrust Position
- Bearing Temps
- Oil Temps
- Disc Cavity Temps
- Cooling Air Valve
Positions
- Rotor Cooling Air
Temp
- MW Output
- Ambient Temp
- Humidity
- Lube Oil Parameters
- Generator Data
- Exhaust Temps
- Exhaust Pressure
- Examples of data available
- Compressor Pres
- Compressor Temps
- Gas Temps
- Gas Pres
SLIDE 18
- Pull raw data from Pi
- Typically data sets will be 5 min samples for 1 year
SLIDE 19
APR Modeling Process – Cleaned Data Set
- Cleaned data set represents operation during all ambient / MW loading conditions
Summer Winter Spring Fall
SLIDE 20 Plot-0 10/7/2007 9:17:30.977 AM 10/10/2007 9:17:30.977 AM 3.00 day s 80 85 90 95 75 100 108 126 100 125 114 123 101 111 55 90 160 100 400 72 92 90
- Feed historical data to algorithm
- Feed Real-time values to algorithm every 5 minutes
- Algorithm compares Real-time with historical and outputs
predicted values
Predicted values
- Fan OB Bearing Temp
- Fan IB Bearing Temp
- Motor IB Bearing Temp
- Motor OB Bearing Temp
- Motor Winding Temp
- Amps
- Discharge Press
APR Modeling Process – Model Algorithm
SLIDE 21
First Pattern Recognition alarm, residual exceeded 10 C
- Subtract actual value from the predicted value to calculate the residual
Traditional Alarm @ 140 C
SLIDE 22
M&D Center Issue Notification Process
- In the long term, the M&D Center will initiate Tech Exams for all finds as
part of the EPRI Maintenance and Reliability Process. Owners at the stations will utilize these Tech Exams to determine what needs to be done to the equipment.
- In the short term, the M&D Center uses Email and a notification matrix to
determine who to notify at each station.
- The center is developing a report tool that can customize reports to users
based on attributes such as region, unit, system, component or technology type.
- The Thermal Performance group issues monthly Controllable Loss
reports for major plant systems and provides real time thermal performance displays to the plants.
- Performance testing groups provide turnkey testing and analysis for a
wide range of performance issues.
SLIDE 23
CR 1&2 Fire & Major Damage – Jan 2010
- Major Catastrophic Failure
- $MM’s+ 4 months loss generation
- SmartM&D Technology could have
prevented this failure
23
$200 RF Bus Temp Device
- n SmartM&D Network
SLIDE 24
Existing Program Gaps
- Equipment Specialists
- Current specialists spread too thin – hard to replace
- Current manual predictive programs
- 80% data collection, 20% diagnostic
- 60,000 manual vibration data collections per month!!
- M&D Center Limitations
- Currently limited only to DCS available data
- Need more instrumentation to expand capabilities
Industry Gap – lack of cost effective automated
monitoring technologies on critical equipment.
SLIDE 25
- 2010 Progress Energy Executive Challenge: to better leverage technology to address
increasing reliability demands and to optimize our workforce
- 2012 Duke Energy Long Term Enterprise Strategy: Modernize generation and grid
infrastructure
- 2013 IT Strategic Goal: Enable Business Model Evolution
- Build an advanced M&D infrastructure capable of
a significant advancement in remote equipment monitoring, smart diagnostics, and prognostics
- Provide a “Force Multiplier” to leverage fewer
specialists to analyze fleet critical equipment
Shaping our Future – Technology Innovation & Workforce Optimization
SmartM&D Strategy
SLIDE 26
Evolution of the APR Program – SmartM&D
- Additional Expansion planned for
Phase 2 (SmartM&D) implementation
- >5000 APR Models for SmartM&D
- Advanced Sensor Types
– Vibration – Temperature – Electromagnetic Interference (EMI) – Motor Diagnostics – Thermography – Visual Cameras – Additional sensors for performance monitoring (press, flow, etc.) – National Instruments Compact Remote I/O Devices (CRIO)
- >65 new model types
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SLIDE 27
SLIDE 28
Avoided Cost Chart Tracks Value
SLIDE 29
M&D Find – CT Combustion Hardware Failure
- Blade Path temperature spread
began to increase
- Spread increase was caused by 1
- f 16 thermocouples trending low
Filtered Data > 40 MW 4/22 – 5/16/2012 Blade Path Spread Blade TC #2
SLIDE 30
M&D Find – Boiler Feed Pump Motor Bearing
- Increasing temperature detected on NDE Motor bearing on BFP (alert set to +/-
15F)
- Site contacted with issue
- PdM tech determined the oil flow was restricted to the bearing
- The diverter stack was closed on the CT and the pump was shutdown
Site contacted and pump was shutdown
SLIDE 31
M&D Find - Boiler Feed Pump Motor Bearing
- After pump was shutdown, a ball of Teflon tape was found in the oil supply line
- rifice (possible construction waste)
- Quick action by the site saved the unit from a possible trip or bearing damage to
the motor
- The diverter damper was shut on the unit and the CT stayed online in simple
cycle mode while the issue was corrected
Teflon tape found in the supply line orifice
SLIDE 32
32
M&D Find - CT Generator ‘J strap’ failure
- APR detected a 2X shift in vibration on all the
generator proximity and seismic probes
- Occurred on the last run before the Fall outage
- DCS does not alarm until 8.66 mils on the Bently
proximity probes Typical Run High Vibration Run
X - Normal X - After Y - Normal Y - After Gen Brg1 0.95 2.60 0.56 1.10 Gen Brg2 0.70 1.81 0.81 1.40
SLIDE 33
M&D Find - CT Generator ‘J strap’ failure
- Site decided to remove manhole cover to inspect (not in
- riginal outage scope)
- Both J-straps were found damaged
- Site decided to remove field and repair J-straps
- Had issue not been addressed, high probability of failure
- f J-Strap during winter run season
2 Visible Leads 1 Visible Leads
SLIDE 34
M&D Find - CT Generator ‘J strap’ failure
- Found shorted #1 coil, shorted #6 coil
SLIDE 35
M&D Find – Gore Filter Performance Analysis
- Conventional filters at one CC site required frequent washing due to
contamination from the cooling tower
- Gore filters were tested as an alternative
- M&D Center compared filter performance over time to find that the Gore
filters were cost justified in this application
SLIDE 36
M&D Find – CC Ambient Air Correction Factor
- Third Party PPA supplier to Duke
- Performance test based on
loosely related ambient air sensors
- M&D review of test results
revealed the need for additional ambient air and RH temp sensors.
- Station installed the sensors
identified by the M&D Center
- The second test was satisfactory
and Duke accepted the results.
- The revised ambient temperature
will reduce our annual capacity costs from the plant by $250K.
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SLIDE 37