Company TATA Steel
Loop Name PC_1622
Date 11-Sep-2017 13:38:47
PID Tuner Version V2.0.1

1. Model Fit

The figure below shows how the identified model fits to the measured data.

The model used to fit the data:

The fitted model parameters are shown in the following table.

# Fit Parameters
K 1.000000
Tp 100.000000
Tdt 5.000000

2. PID Tuning

Based on the model as identified in Chapter 1, the optimal PID settings are shown in the following table.

# Old Settings PID Tuner Settings
Tuning Method _________ SIMC PID
Kp 1.000000 10.000000
Ti 100.000000 40.000000
Td 0.000000 2.500000

3. PID Verification

The figure below shows the expected PID output vs. the measured PID output. The data shown is collected right after the bump-test

The PID equation used:

4. Performance Evaluation: Setpoint-Tracking

The figure below shows the measured response to a change in setpoint using the old vs. the new PID settings.

5. Performance Evaluation: Free run

The figure below shows the measured response during a free-run, using the old vs. the new PID settings.

The standard deviation as calculated from the free-run is shown in the following table:

# Old Settings New Settings
Std Dev 1.200000 0.600000

6. Costs Savings

Selected MV Unit Electricity [kWh]
Entered Cost/MV Default (0.22 Euro/kWh)

Based on a 2-sigma approach, the setpoint could be increased/decreased by 2*(Std Dev Old - Std Dev New) = 1.20

A reduction in SP of 1.2, gives a reduction on MV of SP/K = 1.2/1 = 1.2

The annual cost savings are expected to be 1.2*0.22*365*24 = 2312.64 [Euro/Year]

7. Remarks


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