*A new equation for calibrating data gathered using a Winter-Kennedy piezometer system, tested using data from Unit 4 at the 810-MW Lower Granite project, could provide better correlation of results than traditional methods of calibration.*

**By Lee H. Sheldon**

The traditional linear method of calibrating Winter-Kennedy piezometers is known to have inaccuracies, particularly at the extremes. This article describes an improved form of the calibration equation that increases accuracy. This method can be used with as few as three data points. However, as with any calibration, including the traditional linear one, accuracy is increased as the number of data points increases.

## Understanding the Winter-Kennedy system

In 1933, Ireal A. Winter and Mr. Kennedy published a paper, “An Improved Type of Flow Meter for Hydraulic Turbines,” describing what we refer to today as the Winter-Kennedy piezometer system to measure relative flow rates in hydraulic turbines. This system consists of at least one pair of piezometers in the curved portion of a spiral or semi-spiral case. These piezometers are located on the inside and outside of the case, usually 30 degrees or 45 degrees after the curve begins, and are on the same radial plane from the center of mechanical rotation. The relative elevations of the piezometer orifices do not affect their function.

It is standard practice for the U.S. Army Corps of Engineers to put two or three orifice taps on the inside and one on the outside of the case. One inner tap is in the upper flange of the stay ring, and the other one or two are at slightly increased radial distances from the center of rotation. This is done so that the inner and outer pair with the least hydraulic noise can be selected.

These piezometers act in a manner similar to “elbow taps.” As the flow enters a curvilinear path of a spiral case or the bend of a pipe, it develops an angular momentum, which is a function of the square of the velocity and the radial distance from the center of rotation. As the radial distance increases, so does the angular momentum. This is analogous to the flow in an open channel going around a bend, where the flow on the outside has a tendency to “ride up” on the outside wall. Each piezometer is also influenced by the velocity head of the fluid at the tap, which also is a function of the square of the velocity. Therefore, the two piezometers measure a different piezometric pressure, and the difference is nominally a function of the square of the velocity. Conversely, due to the Law of Continuity, the square root of this piezometric difference is then nominally proportional to the flow rate.

Because these piezometers measure a difference in angular momentum, they are actually measuring a relative weight flow rate of the fluid. Consequently, the greater the fluid’s specific weight, the greater the pressure differential. If electronic pressure differential measuring devices are used, they should be calibrated using water of the same specific weight as that in the spiral or semi-spiral case. If water manometers are used, they should be bled periodically to keep the water in the piezometer lines at the same temperature and specific weight as that in the case.

Whatever measuring instrument is used, the piezometer lines also should be bled to remove any gas bubbles caused by entrained gasses coming out of solution. The drain lines can be run to any powerhouse drainage connection, but it is useful to submerge the end of the drain hose in a bucket of water. In this manner, gas bubbles emerging from the piezometer lines can be readily observed. Further, the high and low piezometer lines can be cross-connected so that one flushes the other.

## Traditional methods of calibration

The Winter-Kennedy piezometer system is a relative flow measurement method. It may be used to determine relative efficiencies directly, as in an index test. This is often done by forming a relative efficiency value, at constant head, of generator output divided by the square root of the piezometric differential:

Equation 1

MW/(D)^{0.5}where:

– D is Winter-Kennedy system piezometric pressure differential.

There are two traditional methods of calibrating Winter-Kennedy piezometers, depending on the number of points available. The single-point method is used when an independent method is not available to measure absolute flows during a test. It relies on knowing the absolute flow at a single point. Commonly, the prototype flow value from a model test at the point of peak efficiency is equated to the square root of the piezometric differential at peak relative efficiency. Then, the calibration constant “k” may be solved for:

Equation 2

Q = kD^{0.5}

where:

– Q is flow in cubic feet per second.

Because k is the unknown in the single-point method, the exponent must be assumed to be an exact square root, 0.5.

On most turbines, the exponent is known to vary slightly from the exact square root. The ASME Test Code^{1} states that for flow in the spiral or semi-spiral case, “The extreme values of the exponents which may be expected are 0.48 to 0.52.”

A second method is used when a series of independent absolute flow values have been measured, simultaneously with measurements of the Winter-Kennedy pressure differentials. It is standard practice to plot these on a log-log graph, with the y-axis as log_{10}Q and the x-axis as log_{10}D. (Use of the base of 10 rather than a base of e is a personal preference.) Then, forming a straight line equation of the form y = mx + b, a best fit or least squares fit is used to derive values for “m” and “b” in the logarithmic equation of log_{10}Q = m(log_{10}D) + b, where m is the slope and b is the y-intercept. From a logarithmic identity of exponents, we arrive at log_{10}Q = log_{10}D^{m} + b. Then, raising both sides of the equation as an exponent to the number 10, we arrive at 10^{logQ} = 10^{logD^m + b} = 10^{b}10^{logD^m}. Again, another logarithmic identity is that 10 to the log anything is anything. Therefore, we arrive at:

Equation 3

Q = 10^{b}D^{m} or Q = kD^{m}

## Lower Granite Unit 4 tests

In December 2004, turbine performance tests were conducted on Unit 4 at the 810-MW Lower Granite project on the Snake River in Washington, which is owned by the Corps. Two pairs of Winter-Kennedy piezometers were measured. The inner piezometer (in the stay ring) coupled with the outer piezometer is referred to as the high deflection tap set. The other inner piezometer, at a greater radial distance from the center of rotation, coupled with the outer piezometer is referred to as the low deflection tap set. In addition, absolute flows were measured by the acoustic scintillation (performed by ASL AQFlow) and acoustic time-of-flight (performed by Accusonics) methods. The performance measurements were made both without fish screens and with extended submerged bar screens in the intake’s three bays. To avoid redundancy, in this article only the tests without screens will be presented.

The first data plotted was a comparison of the high and low deflection Winter-Kennedy piezometers (see Figure 1 on page 37). This shows a good linear correlation, with a correlation coefficient of 0.99632. However, instead of passing through the origin, the intercept is 0.49. This means that when the low deflection tap set measures zero, the high deflection set would still be measuring almost a 0.5 foot differential. This is an example of the inaccuracy of a traditional Winter-Kennedy system calibration at its extremes. Closer examination of the plotted data shows the correlation has a definite curvature, indicating a second order or quadratic equation would provide a better correlation. Figure 1 on page 37 also shows that a quadratic equation does give an improved correlation coefficient of 0.99868, with the intercept reduced to -0.24. The only way this second order relation could exist is if one or both pairs of Winter-Kennedy system piezometers have a second order correlation with flow, rather than a linear one.

To examine this further, in Figure 2 (on page 37) the quadratic correlation of the low deflection tap set is plotted versus the scintillation and time-of-flight flow measurements. For the time-of-flight, the coefficient to the second order term, -0.002, is very small and the correlation coefficient is not improved over that for the linear correlation. (The trend lines shown are for the quadratic correlations.) However, for scintillation, the coefficient for the quadratic term, 0.024, is larger, indicating a curvilinear correlation, and the correlation coefficient is improved from 0.99892 for the linear to 0.99901 for the quadratic.

In Figure 3 on page 42, the quadratic correlation of the high deflection tap set is plotted versus the scintillation and time-of-flight flow measurements. (Again, the trend lines are for the quadratic correlations.) For the time-of-flight, the coefficient to the second order term is 0.062 and the correlation coefficient is improved from 0.99849 for the linear correlation to 0.99893 for the quadratic. For scintillation, the coefficient for the quadratic term is 0.092, indicating a significant curvilinear correlation, and the correlation coefficient is improved from 0.99733 for the linear correlation to 0.99831 for the quadratic. In terms of the absolue flow values for this last case, the average difference between the quadratic and linear calibration equations is about 100 cfs.

## New Winter-Kennedy calibration equation

To make use of this better second order correlation equation from the log-log plots, a new form of calibration equation for the Winter-Kennedy piezometer system must be derived. Starting with the quadratic equation form of y = ax2 + mx + b, the correlation equation may be written as:

Equation 4

log_{10}Q = a(log_{10}^{2}D) + m(log_{10}D) + b = a(log_{10}D)(log_{10}D) + m(log_{10}D) + b

By logarithmic identity of exponents, treating a(log_{10}D) as a coefficient of the second log_{10}D, and discontinuing to write the base number 10, this is equal to:

Equation 5

logQ = logD^{a(logD)} + logD^{m} + b

Again, raising both sides of the equation as an exponent of the number 10 leads to 10^{logQ} = 10^{logD^(alogD) + logD^m + b} = 10^{logD^(alogD)}(10^{logD^m})10^{b}. Then, again by the identity that 10 to the log anything is anything, we arrive at Q = 10^{b}(Da^{(logD)})D^{m}. Then, because the exponents of multiplied bases are additive, we arrive at Q = 10^{b}(D^{m+a(logD)}). This may finally be written in the more common form of:

Equation 6

Q = kD^{m+a(logD)}

Two things are noted in this new Winter-Kennedy calibration equation. The first is that the coefficient is constant, but it is the exponent that varies. Because “a” may be either positive or negative, the exponent can increase or decrease with increasing flow. Secondly, if there is no curvature in the plotted calibration data, such that the coefficient of a is zero, the equation simply reverts to the traditional linear form of Q = kD^{m}.

From the form of this new calibration equation, even higher order calibration equations may be derived. For example, if the polynomial fit on the log-log plot fits a cubic calibration of the form y = c(log^{3}D) + a(log^{2}D) + m(logD) + b, the calibration equation would become Q = 10^{b}D^{m + a(logD) + c(logD)^2}. If the polynomial fit on the log-log plot is a fourth order of the form y = f(log^{4}D) + c(log^{3}D) + a(log^{2}D) + m(logD) + b, the calibration equation would become Q = 10^{b}D^{m + a(logD) + c(logD)^2 + f(logD)^3}, and so forth. However, even though the calibration data may exhibit some curvature, it is so shallow that this additional refinement above a quadratic is not expected to produce any further increase in the accuracy of the calibration.

## Comparison between the two calibration equations

The improvement this new quadratic form provides in a calibration equation is evaluated by applying it to the calibration data from Lower Granite Unit 4. Table 1 shows the results.

For the low deflection tap set using time of flight where the coefficient of the second order term is very small, the exponent is essentially constant and there is little improvement in the correlation coefficient. However, for this same tap set using scintillation, the somewhat larger coefficient to the second order term causes an increase in the exponent with increasing flow and results in some improvement in the correlation coefficient.

However, for the high deflection tap set, the improvement is more marked. For time of flight, the exponent increases about 8% from minimum to maximum flow and the correlation equation is notably improved. Finally, for the scintillation method in this high deflection tap set, the exponent increases 13% from minimum to maximum flow and the correlation equation is significantly improved.

## Possible explanation

It is clear that this new second order calibration equation can provide a better fit when a series of Winter-Kennedy calibration data is available. However, the prevailing theory for almost the past century has been that as long as the inside and outside taps are on the same radial plane from the center of rotation, the calibration equation should be the piezometric differential raised to a single exponent, equal to or near a square root. It may be expected that the piezometer taps are installed on a radial plane from the center of mechanical rotation, i.e. the shaft centerline.

However, the actual theory of fluid mechanics is that the taps should be on the same radial plane from the center of fluid rotation. Therefore, the possible explanation is that the center of mechanical rotation is not coincident with the *center of fluid rotation.* Considering that spiral cases have an ever-reduced cross-sectional area around their periphery and are therefore not symmetrical around the center of mechanical rotation, this seems entirely plausible. Subsequently, it has been found that in their original paper, Winter and Kennedy specifically pointed out that they necessarily had to assume the two centers were coincident.

## Conclusion

It is concluded that the correlation of a series of flow measurement calibration points versus the piezometric differential of the Winter-Kennedy piezometer system often exhibits a slightly nonlinear, second order effect when plotted on a log-log graph. This has led to the derivation of a new, more accurate calibration equation of Q = kD^{m + a(logD)}, where m is the traditional exponent, near a square root, and a is the coefficient of the second order term from the calibration equation of Q = a(log^{2}D) + m(logD) + b. The resulting nonlinear effect of this new form of the calibration equation is due to the fact that although the coefficient k is constant, the exponent of the piezometric differential D varies with the magnitude of the flow rate. This variation may be for the exponent to increase or decrease with increasing flow, depending on the algebraic sign of a.

## Note

^{1}*Hydraulic Turbines and Pump-Turbines, Power Test Code* 18, American Society of Mechanical Engineers, New York, 2002.

**Lee Sheldon, P.E., is a hydropower consulting engineer, also associated with Black & Veatch.**

*This article has been evaluated and edited in accordance with reviews conducted by two or more professionals who have relevant expertise. These peer reviewers judge manuscripts for technical accuracy, usefulness, and overall importance within the hydroelectric industry.*