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1
Instrumentation Accuracy and Performance Monitoring
How Instrumentation Can Effect Results
Tina L. Toburen, P.E.T2E3, Inc.
2
Presentation Goal: Increase awareness of the effect of
small instrumentation errors on performance monitoring results
Increase understanding of the uncertainty bands surrounding key performance parameters
Improve the quality of performance monitoring programs at your facilities
3
Instrumentation Accuracy and Performance Monitoring Why to Performance Monitoring Programs
Fail? No on site Champion for the system Lack of management support Operators lose confidence in the results
GARBAGE IN = GARBAGE OUT
4
Instrumentation Accuracy and Performance Monitoring Improve Operators’ Confidence by:
Verifying performance calculations Compare results with expected, test and/or
design values Provide quick and easy access to results in
current value and trend formats Maintain the accuracy of results Train operators on what is a “significant”
change in results
5
Instrumentation Accuracy and Performance Monitoring Improve Operators’ Confidence by:
Verifying performance calculations Compare results with expected, test and/or
design values Provide quick and easy access to results in
current value and trend formats Maintain the accuracy of results Train operators on what is a “significant”
change in results
6
Temperature Measurement Thermistor
Range: 0-120 °F Accuracy: ±0.1 °C (best case)
Thermocouple Range: -250 – 4200 °F Accuracy (depends on type): From ±0.5°F at lower
temperatures to 1% or more at higher temperatures (1% of 4200 = 42°F)
RTD Range: 0 – 1750 °F (depends on type of RTD) Accuracy (depends on class): ±0.18 °F at low temps,
±8.0+ °F at higher temps Thermometer
Range: 0 – 120 °F (depending on equipment) Accuracy: ±0.1 °F and up (depending on equipment)
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Pressure Measurement Range and Accuracy depend on make, model
and calibration of equipment used. Differential Pressure
Gage Pressure
Absolute Pressure
Today’s transmitters can be 0.15% to 0.50% accuracy for their calibrated range
Note calibration range! this can have a significant impact on accuracy at measured values
8
Fuel Flow Measurement Gas or Oil
Mass: Coriolis High accuracy, direct mass flow measurement
Differential: Orifice, Venturi, Nozzle High accuracy for code-level installations
Linear: Vortex, Turbine, Ultrasonic Lower accuracy and (potentially) lower cost Consider combining multiple measurements for
increased accuracy
Solid Fuels Difficult to measure accurately
9
Natural Gas Fuel Flow Actual flow values (ACFM)
Measured Temperature and Pressure
Samples needed for constituent analysis or use of on site gas chromatograph
Tools for converting ACFM to SCFM and PPH
All Fuels – Also require a heating value to convert volume or mass flow to energy (MMBtu/hr)
10
Electrical Output Power Metering
Revenue Watt-Hour Meters Revenue Class Potential Transformers (PT) and
Current Transformers (CT) Gross Versus Net Test Objective Unit Auxiliaries usually measured with lower
class (lower accuracy) PTs and CTs
11
Instrumentation Accuracy and Performance Monitoring Accuracy – Instrument Calibrations:
Initial calibration of control instrumentation during startup
Annual calibration of control instrumentation as regular maintenance
Instrumentation not used for control often neglected from annual maintenance in order to save time and money
12
Instrumentation Accuracy and Performance MonitoringThe Cost of Instrumentation Errors Control (Firing) Temperature
Reading lower than actual – leads to over-firing gas turbine Higher maintenance costs due to increased
degradation of hot gas path parts Reading higher than actual – leads to under-
firing of gas turbine Reduced available output due to fictional limit
placed on unit Reduced efficiency (higher heat rate) due to part
loading of gas turbine
13
Instrumentation Accuracy and Performance Monitoring Barometric Pressure
Alters exhaust temperature control curve. Control curve x-axis (Pr) is a function of: Local station barometric pressure Compressor discharge pressure Gas turbine inlet filter losses
Pr = Pout / Pin Pout [psia] = CDP [psig] + Barom [psia] Pin [psia] = Barom [psia] – InLoss [psia]
Note: 1 inch H20 = 0.0361 psia
14
Instrumentation Accuracy and Performance Monitoring
13.1
14.4315.88
1,050
1,075
1,100
1,125
1,150
1,175
1,200
1,225
1,250
12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0 16.5 17.0
Pressure Ratio (Pout/Pin)
Exha
ust T
empe
ratu
re, F
TTK0TTK1
1200 F Isotherm
GE MS 7241 FA enhanced DLN
15
Instrumentation Accuracy and Performance Monitoring Barometric Pressure
Reading low results in an higher Pout/Pin ratio, which will limit the gas turbine to a lower exhaust temperature, part-loading the unit.
Reading high results in a lower Pout/Pin, allowing the gas turbine to fire to a higher exhaust temperature, potentially over-firing the gas turbine.
0.2 psia (1.4%) error can result in a 15°F error in target GT exhaust temperature. >2% loss in output & 0.75% loss in efficiency
16
Instrumentation Accuracy and Performance Monitoring What can the Performance Engineer Do
to optimize instrument accuracy? Identify all instrumentation used within the
performance monitoring program. Analysis, Reporting, Trending, etc.
Identify manufacturer’s stated accuracy for each instrument
Review calibration records, add instrumentation to maintenance schedules as needed
17
Instrumentation Accuracy and Performance Monitoring Optimizing Instrument Accuracy (cont.)
Verify calibrations are correct for expected operating ranges
Determine Sensitivity of results to each measurement (an uncertainty analysis may be needed, see handout and ASME PTC 19-1)
Add and/or upgrade instrumentation if necessary
18
Instrumentation Accuracy and Performance Monitoring Improve Operators’ Confidence by:
Verifying performance calculations Compare results with expected, test and/or
design values Provide quick and easy access to results in
current value and trend formats Maintain the accuracy of results Train operators on what is a “significant”
change in results
19
Instrumentation Accuracy and Performance Monitoring Determining Significance of Changes in
Results Uncertainty Analysis Results as Tolerance
Band for Periodic Testing Systematic Uncertainty – Repeatable * Random Uncertainty – Non-repeatable **
* Repeatable errors cancel each other out when looking at changes over time
** Random errors are an indication of the effect of scatter in the data on the results
20
HPSectionalEfficiencyUncertaintyAnalysis
n (A) (B) (AB/sqrt(n)) (AB)^2/n
MEASUREMENT PARAMETER (Design Value)
Number of Independent Measurement
Points
Sensitivity (% PER %)
Systematic Uncertainty
Systematic Uncertainty Contribution
1. Throttle Pressure (2500 psia) 2 0.800 0.250% 0.141% 2.00E‐06
2. Throttle Temperature (1050F) 2 2.600 0.190% 0.350% 1.23E‐05
3. Exhaust Pressure (550 psia) 2 0.700 0.500% 0.247% 6.13E‐06
4. Exhaust Temperature (645F) 2 2.000 0.465% 0.658% 4.33E‐05
Total HP Section Efficiency Uncertainty 0.798%
Uncertaintytot = SQRT [(ABtot)2] (note: random compenent set to zero)
21
HPSectionalEfficiencyUncertaintyAnalysis(adjusted)
n (A) (B) (AB/sqrt(n)) (AB)^2/n
MEASUREMENT PARAMETER (Design Value)
Number of Independent Measurement
Points
Sensitivity (% PER %)
Systematic Uncertainty
Systematic Uncertainty Contribution
1. Throttle Pressure (2500 psia) 4 0.800 0.250% 0.100% 1.00E‐06
2. Throttle Temperature (1050F) 4 2.600 0.190% 0.248% 6.13E‐06
3. Exhaust Pressure (550 psia) 4 0.700 0.500% 0.175% 3.06E‐06
4. Exhaust Temperature (645F) 4 2.000 0.465% 0.465% 2.16E‐05
Total HP Section Efficiency Uncertainty 0.564%
Uncertaintytot = SQRT [(ABtot)2] (note: random compenent set to zero)
22
HPSectionalEfficiencyUncertaintyAnalysis(includingRandomUnc)
fa (A) (B) (AB/sqrt(n)) (AB)^2/n (S) (AS/sqrt(n)) (AS)^2/n sqrt[(AB)^2+(2AS)^2]
MEASUREMENT PARAMETER (Design Value)
Number of Independent Measurement
Points
Sensitivity (% PER %)
Systematic Uncertainty
Systematic Uncertainty Contribution
Standard Deviation of the Mean
Random Uncertainty Contribution
Total Uncertainty of Parameter
1. Throttle Pressure (2500 psia) 4 0.800 0.250% 0.100% 1.00E‐06 0.200% 0.080% 6.40E‐07 0.189%
2. Throttle Temperature (1050F) 4 2.600 0.190% 0.248% 6.13E‐06 0.143% 0.186% 3.45E‐06 0.446%
3. Exhaust Pressure (550 psia) 4 0.700 0.500% 0.175% 3.06E‐06 0.200% 0.070% 4.90E‐07 0.224%
4. Exhaust Temperature (645F) 4 2.000 0.465% 0.465% 2.16E‐05 0.310% 0.310% 9.61E‐06 0.775%
Total HP Section Efficiency Uncertainty 0.564% 0.377% 0.941%
Uncertaintytot = SQRT [(ABtot)2 + (2AStot)2]
23
Presentation Goal: Increase awareness of the effect of
small instrumentation errors on performance monitoring results
Increase understanding of the uncertainty bands surrounding key performance parameters
Improve the quality of performance monitoring programs at your facilities