Describe the different types of calibration available in InfoWater Pro, as well as the desired accuracy when calibrating a model.
Transcript
00:03
Model calibration is the process of iteratively adjusting model input parameters
00:10
to achieve a reasonable match between model output and field data.
00:15
Calibration increases accuracy of the model,
00:19
instilling confidence that your model accurately predicts existing conditions within reasonable margins of error,
00:26
which is vital for its use as a planning tool.
00:29
A calibrated InfoWater Pro model is required for accurate fire flow, water quality, and energy analyses.
00:39
This gives you an understanding of how water moves through your system,
00:43
as well as confirms your connectivity, pump curve accuracy, controls, and hydrant calibration.
00:51
There are two types of calibration: Extended-period simulation (EPS) calibration and steady-state calibration.
01:00
In EPS calibration, you compare tank levels, pump run times, junction pressures,
01:07
and known flows to your field data, generally over a 24- to 48-hour simulation.
01:15
This type of calibration validates system connectivity, diurnal demand patterns, and system controls.
01:23
In most EPS calibrations, your goal is to have hydraulic grade line elevations (HGLEs) within five to 10 feet of field values,
01:34
and tank level fluctuations within three to six feet of field values.
01:39
You also want to be able to explain any discrepancies found when comparing your model data with the field data.
01:47
In steady state calibration, or hydrant flow calibration,
01:52
you compare pressures at residual hydrants against those in the model when introducing hydrant flows as “point demands”.
02:00
This means that field data from standard hydrant flow tests
02:05
are used to verify whether the model’s pressure predictions are within the 5- to 10-ft HGLE range.
02:12
By using multiple hydrants, you also have multiple points of data to compare.
02:18
When performing hydrant flow tests for calibration,
02:22
it is important that the flows to which you are calibrating are less than the required fire flow values.
02:28
Otherwise, you may not be calibrating your model sufficiently to test all fire flow concerns your model needs to predict.
02:36
Ideally, you want calibration flows that are as high as your fire flow requirements.
02:42
This way, you can ensure that you are calibrating within the range of flows with which you are concerned.
00:03
Model calibration is the process of iteratively adjusting model input parameters
00:10
to achieve a reasonable match between model output and field data.
00:15
Calibration increases accuracy of the model,
00:19
instilling confidence that your model accurately predicts existing conditions within reasonable margins of error,
00:26
which is vital for its use as a planning tool.
00:29
A calibrated InfoWater Pro model is required for accurate fire flow, water quality, and energy analyses.
00:39
This gives you an understanding of how water moves through your system,
00:43
as well as confirms your connectivity, pump curve accuracy, controls, and hydrant calibration.
00:51
There are two types of calibration: Extended-period simulation (EPS) calibration and steady-state calibration.
01:00
In EPS calibration, you compare tank levels, pump run times, junction pressures,
01:07
and known flows to your field data, generally over a 24- to 48-hour simulation.
01:15
This type of calibration validates system connectivity, diurnal demand patterns, and system controls.
01:23
In most EPS calibrations, your goal is to have hydraulic grade line elevations (HGLEs) within five to 10 feet of field values,
01:34
and tank level fluctuations within three to six feet of field values.
01:39
You also want to be able to explain any discrepancies found when comparing your model data with the field data.
01:47
In steady state calibration, or hydrant flow calibration,
01:52
you compare pressures at residual hydrants against those in the model when introducing hydrant flows as “point demands”.
02:00
This means that field data from standard hydrant flow tests
02:05
are used to verify whether the model’s pressure predictions are within the 5- to 10-ft HGLE range.
02:12
By using multiple hydrants, you also have multiple points of data to compare.
02:18
When performing hydrant flow tests for calibration,
02:22
it is important that the flows to which you are calibrating are less than the required fire flow values.
02:28
Otherwise, you may not be calibrating your model sufficiently to test all fire flow concerns your model needs to predict.
02:36
Ideally, you want calibration flows that are as high as your fire flow requirements.
02:42
This way, you can ensure that you are calibrating within the range of flows with which you are concerned.
Model calibration is the process of iteratively adjusting model input parameters to achieve a reasonable match between model output and field data.
Increases accuracy of model in predicting existing conditions within reasonable margins of error, which is vital for use as a planning tool.
Required for accurate fire flow, water quality, and energy analyses in InfoWater Pro model.
Provides understanding of how water moves through system.
Confirms:
Two types of calibration: extended-period simulation (EPS) calibration and steady-state calibration.
EPS calibration:
In most cases, goal is hydraulic grade line elevations (HGLEs) within 5-10 feet of field values, and tank level fluctuations within 3-6 feet of field values.
Also want to be able to explain discrepancies found when comparing model data with field data.
Steady state calibration, or hydrant flow calibration:
When performing hydrant flow tests for calibration, flows to which you are calibrating need to be less than required fire flow values.
Otherwise, may not be calibrating model sufficiently to test all fire flow concerns the model needs to predict.
Ideal is to have calibration flows as high as fire flow requirements—ensures you are calibrating within the necessary range of flows.
