Managing Fleet Performance 1.0

April 9, 2018 | Author: KURNIAWAN | Category: Gas Turbine, Gas Compressor, Reliability Engineering, Gases, Energy Technology
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Short Description

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Description

ISO corrections

all performance data is ISO corrected and compared with a “fingerprint” of the engine deviations from expected performance trigger diagnostics tools to enable rapid, preventative action

Gas Turbine - baseline analysis 



Actual performance points Baseline performance lines

ABC Mode

AB Mode

BC Mode

LM2500+DLE : Fuel flow (NTI) vs combuster inlet T



Change burner mode to BC to save fuel if demand is unlikely to increase



Shows a fuel issue for BC mode in this case can then drill down to determine whether mechanical or control

Gas Compressor - baseline analysis

AB Mode

BC Mode

Model Based Diagnostics - principles Actual Process

Plant

Process Inputs

Discrepancies

Models   

Process Outputs

Root Cause

Predicted Outputs

Rigorous Thermodynamic Modelling for Gas Turbines & Compressors Quickly eliminate spurious data (e.g. sensor errors) Determine un-measured values (e.g. hot section gas path)

Gas Turbine - Model Based Diagnostics gas path analysis actual process data is compared with modelled values along the gas path sensor errors are quickly eliminated by comparison with modelled values un-measured values are determined in the hot zone to support component life prediction

fault indices are produced enabling diagnosis at the component level

Gas Compressor Model Based Diagnostics

polytropic efficiency and head coefficients are modelled

deviations from the models enable possible sensor errors to be eliminated leading to rapid fault diagnosis

gas turbine driver characteristics are displayed on the compressor envelope

On Line Instrument Validation healthy discharge temp, spurious efficiency

On Line Instrument Validation healthy efficiency, spurious suction temperature

Emissions Management validated monitoring & reporting using performance data

emissions fingerprint

+

engine parameters   

+

fuel flow, exhaust T mechanical condition AIT, CDP, CDT, etc..

process conditions   

fuel specific gravity fuel calorific value etc..

calculated emissions

Emissions Management engine model specific validation and characterisation - SAC

Emissions Management Engine model specific validation and characterisation - DLN Typical GE LM2500+DLE Gas Turbine - NOx emission profile OCMS NOx Primary Bulk Reference Baseline - All Modes (variable bleed range 50% TFL) @ 15% O2 Ref. y = -4.76857E-01x + 2.34661E+02 y = -4.82959E-01x + 2.31191E+02

y = -2.71533E-03x2 + 1.63574E+00x - 1.83720E+02 100

y = 5.87267E-03x2 - 5.25563E+00x + 1.20453E+03 Full Load Rating 27.4 MW @ 470 T3SEL

EA Site Authorisation Limit

75% of Rating 20.5 MW @ 425T3SEL

90

Push

50% of Rating 13.7 MW @ 385 T3SEL

80 NOx-PRI (AB check 1)



NOx-PRI (AB check 2)

70

NOx-PRI (ABC check)

) 3 ^

NOx-PRI (BC check)

/m 60 g (m I 50 R P _ X 40 O N

BC

NOx-CONC (BC push)

Push

NOx-CONC (AB push 1) Push

NOx-CONC (AB push 2) NOx-CONC (ABC push) Linear (NOx-PRI (AB check 1))

AB

Linear (NOx-PRI (AB check 2))

30

Poly. (NOx-PRI (ABC check))

ABC

Poly. (NOx-PRI (BC check))

20 10 0 260



280

300

320

340

360

380

400

420

440

460

480

500

T3SEL (Deg C)

GE LM2500+DLE : NOx vs combuster inlet T



Authorisation limit burner modes BC to AB to ABC Note NOX emissions increase at end of each burner mode minimum bleed „push‟

Fleet Reliability Management engine component life - low cycle fatigue 

Implementation of OEM bulletin recommendations



Calculation of cyclic usage between stop / start cycles & over engine life



Particularly useful in variable load applications



RR Avon Mk.1533 : Gas Generator - Low Cycle Fatigue

Cost-effectively schedule component replacement particularly in hot section

Fleet Reliability Management standard station/unit alarm & trip categorisation

Fleet Capital Replacement Strategy based on Performance, Emissions, Availability & Reliability data

Fleet Capital Replacement Strategy multiple criteria decision analysis

Fleet Capital Replacement Strategy multiple criteria decision analysis

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