Next Article in Journal
Enantioselective Recognition of Chiral Carboxylic Acids by a β-Amino Acid and 1,10-Phenanthroline Based Chiral Fluorescent Sensor
Previous Article in Journal
A Label-Free Impedimetric DNA Sensor Based on a Nanoporous SnO2 Film: Fabrication and Detection Performance
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Development of an Ultrasonic Airflow Measurement Device for Ducted Air

Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne NE18ST, UK
*
Author to whom correspondence should be addressed.
Sensors 2015, 15(5), 10705-10722; https://doi.org/10.3390/s150510705
Submission received: 3 December 2014 / Revised: 1 April 2015 / Accepted: 3 April 2015 / Published: 6 May 2015
(This article belongs to the Section Physical Sensors)

Abstract

:
In this study, an in-duct ultrasonic airflow measurement device has been designed, developed and tested. The airflow measurement results for a small range of airflow velocities and temperatures show that the accuracy was better than 3.5% root mean square (RMS) when it was tested within a round or square duct compared to the in-line Venturi tube airflow meter used for reference. This proof of concept device has provided evidence that with further development it could be a low-cost alternative to pressure differential devices such as the orifice plate airflow meter for monitoring energy efficiency performance and reliability of ventilation systems. The design uses a number of techniques and design choices to provide solutions to lower the implementation cost of the device compared to traditional airflow meters. The design choices that were found to work well are the single sided transducer arrangement for a “V” shaped reflective path and the use of square wave transmitter pulses ending with the necessary 180° phase changed pulse train to suppress transducer ringing. The device is also designed so that it does not have to rely on high-speed analogue to digital converters (ADC) and intensive digital signal processing, so could be implemented using voltage comparators and low-cost microcontrollers.

1. Introduction

Currently heating, ventilation and air conditioning (HVAC) systems are difficult and costly to monitor for energy efficiency performance and reliability. A typical duct airflow monitoring device uses a pressure differential method to determine the airflow. According to Yu et al. [1] they are fragile, expensive and create an additional pressure loss, and their sensitivity is also reduced with the reduction in airflow velocity. As buildings evolve, they will require higher levels of insulation and air tightness which will require ventilation systems to provide the minimum number of air changes and reduced energy usage by recovering heat from the air before it is expelled. This will necessitate the need for monitoring of the operating performance of these systems so that air quality or building energy efficiency is not detrimentally affected [2,3]. The monitoring of airflow rates can indicate problems in the design, installation and operation of a HVAC system [2,3,4].
One of the possible alternatives, listed on pages 36.15 and 36.21 of [5], to using pressure differential type devices such as Pitot tube/arrays, orifice plates and Venturis is to use an ultrasonic flow rate sensor which, according to Lynnworth and Liu [6], have been around for at least 60 years [7]. Ultrasonic flow sensors are commonly used to measure pipeline liquid flow in industrial applications but they are not as common for gas flow. There are commercially available systems for use in monitoring industrial processes such as exhaust gases [8] and automotive test bed air intakes [9] but the historically high cost [10,11] has restricted their application uses in HVAC systems.
A duct airflow measurement device was proposed by Bragg and Lynnworth [12] from Panametrics Inc. (Waltham, MA, USA) at a conference in 1994 which used a single port solution consisting of two transducers mounted using O-rings to reduce crosstalk on a single circular flange. A reflective path was used and it was suggested that optional sensors could be combined with this unit such as pressure, temperature and relative humidity. In 2002 a similar but more developed device was described by Rabalais and Sims [13] but was only available on a case-by-case basis as they were still classed as experimental devices. In 1994 a patent was filed by Strauss et al. [14], which described a solution for measuring HVAC air velocity by using a contra-propagating pulsed phase method.
The measurement of low airflow velocities in natural ventilation systems has created an interest in developing an ultrasonic airflow velocity measurement device. This is because of the linear response to flow velocity change that these devices have, so their sensitivity does not degrade with low airflow velocity as opposed to what happens with pressure differential airflow measurement devices. In a study by Olmos [10] an ultrasonic airflow measurement device for measuring airflow and temperature within solar chimneys was developed. This incorporated a contra-propagating pulse phase method with time of flight tracking similar to a method used by the same author in a previous study for an ultrasonic tank level meter [15]. In another study by van Buggenhout et al. [11] on natural ventilation air flow measurement, a device was created which could use between 1 and 16 transducer pairs fitted in a circular duct to measure the turbulent airflow to an accuracy of 9% for all 16 pairs and 24% for a single pair.
The objectives of this study were to develop a proof of concept for a practical airflow measurement device for 0 to 10 m/s low velocity ducted air with an accuracy similar to typical existing air velocity measurement devices [5] (p. 36.15), of between 2% and 5%, and with the potential to be developed at lower cost than the currently available ultrasonic in-duct airflow measurement or pressure differential devices. The fully developed device would be expected to operate with in-duct airflow temperatures from −30 °C to 60 °C together with duct sizes of height ranging from 100 mm to 1000 mm over the full humidity range. To aid this process, an ultrasonic airflow measurement development system was designed and constructed which involved a significant amount of hardware and software integration. The research and development work involved testing of various methods and techniques to discover a system which would be less costly to implement with an acceptable quality of measurement.

2. Theory

The transit time acoustic flow meter, as shown in Figure 1, works on the principle that sound waves will propagate faster in the direction of the flow than against it [16,17]. The following section now explains how to predict transit times and calculate the flow velocity. Two different methods of calculating the flow velocity are described. The first method uses the absolute transit times and the other uses the direct measurement of the transit time difference plus airflow temperature.
Figure 1. Single path acoustic transit time flow meter in a circular duct.
Figure 1. Single path acoustic transit time flow meter in a circular duct.
Sensors 15 10705 g001
The approximate velocity of the speed of sound c, in still dry air of temperature t in degrees Celsius is given by the following Equation (1) [18]:
c 331.45 1 + t 273   m/s
The single path acoustic transit time flow meter geometric parameter values are given by the following Equations (2) and (3):
L = D 2 + Z 2
θ = tan 1 D Z
Hence the transit time can be predicted by Equations (1)–(3) and the following Equation (4):
t T R   =   L c ± U m cos θ
The mean airflow velocity UTTM across the acoustic path can be calculated using Equation (5) [19] without the need to know the speed of sound:
U T T M =   L 2 cos θ ( 1 t T R 12   1 t T R 21   )
To reduce errors caused by noise and fluctuating signal levels, the absolute transit time is usually measured by using the cross-correlation [20] digital signal processing (DSP) method [21]. This compares the digital representation of the transmitted and received waveforms to calculate the delay between them to reduce errors caused by noise and fluctuating signal levels. Threshold crossing techniques can be used as well [22]. In this study, a phase shift or differential transit time method similar to that described by Han et al. [19] and de Cicco et al. [23] is used to reduce the cost of implementation for this application. In the differential transit time method, the estimated transit time is found by using a two stage calculation. In the first stage, the zero flow transit time is calculated with Equation (6). In this equation the acoustic path length in Equation (2) is divided by the speed of sound in Equation (1), which is derived from the airflow temperature:
t U 0 =   L c
In the second stage, half the actual measured differential transit time is added or subtracted from the zero flow transit time depending on the airflow direction, which is represented in Equation (7) below:
t T R   = t U 0 ± Δ t T R 2
The airflow velocity can then be calculated by using the inverse transit time difference (ITTD) [24] formula presented in Equation (5).

3. Design

3.1. HVAC Ultrasonic Duct Airflow Measurement Development System

To develop the ultrasonic duct airflow measurement device a system was produced which had the flexibility to test various measurement techniques. An overview of the development system is shown in Figure 2 which is divided into four subsystems. These subsystems are individually discussed in the next four Section 3.2, Section 3.3, Section 3.4 and Section 3.5, together with the final configuration method used for testing. The rest of this section contains a general overview of the system operation and equipment used.
Figure 2. Schematic of the ultrasonic duct airflow measuring device development system.
Figure 2. Schematic of the ultrasonic duct airflow measuring device development system.
Sensors 15 10705 g002
A computer controlled arbitrary waveform generator (AWG) was used so that any type of transmit drive signal could be produced and manipulated quickly by the extensively modified LabVIEW® 10 (National Instruments, Austin, TX, USA) instrument driver software. The output of the AWG was fed into a PA95 (Apex Microtechnology, Tucson, AZ, USA) high voltage power amplifier capable of driving the ultrasonic transducer to its maximum voltage of approximately 100 V peak to peak. This was then switched through two LH1500AT (Vishay Intertechnology, Malvern, PA, USA) solid-state relays (SSR) within the high voltage multiplexer specifically designed for the task which could switch a single input between at least two outputs. The multiplexer was also controlled by the computer through a PicoLog® 1012 (Pico Technology, St Neots, UK) universal serial bus (USB) data acquisition device. The transmit signals were then connected, depending on the multiplexer state, to one of two 400EP14D (Pro-Wave Electronic Corp., New Taipei City, Taiwan) 40 kHz enclosed type piezoelectric transducers which would transmit an ultrasonic signal through the duct to a receiving transducer. The received signal would be then amplified after passing through a diode voltage limiter input circuit to a multistage operational amplifier to boost the signal voltage gain to >1000. This was then digitized by a USB oscilloscope to be processed by the computer running the LabVIEW® control and signal processing software. A Grant type U thermistor probe was used to measure the in-duct air temperature and was monitored via a Squirrel® SQ2020 Series Data Logger (Grant Instruments, Shepreth, UK).

3.2. Transducer Configuration

A single reflective path ultrasonic flow meter design was chosen as the preferred solution. The transducers are mounted on the same side so that they can be constructed as a single assembly which is fitted to the duct wall. This should reduce the overall cost as it simplifies installation and reduces the number of cable assemblies required.
The single reflective “V” shaped path geometric parameter values are given by the following Equations (8) and (9):
L = 2 D 2 + Z 2
θ = tan 1 2 D Z
Figure 3 shows a similar device to Figure 1 but using a reflective “V” shaped path with the transducers mounted perpendicular to the duct wall.
To explore the sensitivity of airflow measurements on duct size and instrument spacing, in the following table the effects on airflow velocity measurement of an unintentional deviation of up to ±10 mm for the transducers’ axial separation distance, Z, and the duct diameter, D, or duct height, H, are shown. The flow meter scenario used for results in Table 1 is a duct with a diameter or height of 100 mm and a transducer axial separation of 200 mm with a mean airflow of 10 m/s.
Figure 3. A reflective “V” shape single path acoustic differential transit time flow meter in a cylindrical duct.
Figure 3. A reflective “V” shape single path acoustic differential transit time flow meter in a cylindrical duct.
Sensors 15 10705 g003
Table 1. Deviation of Z, D or H on airflow velocity measurement.
Table 1. Deviation of Z, D or H on airflow velocity measurement.
Deviation in (mm)−10−50510
ZAirflow results (m/s)11.05010.51210.0009.5129.050
Deviation from 10 m/s as (%)10.4975.1250.000−4.875−9.502
D, HAirflow results (m/s)9.9879.99710.0009.9979.988
Deviation from 10 m/s as (%)−0.131−0.0320.000−0.030−0.119
The transducer pair axial separation width, Z, is fixed at manufacture. This is because as a large error could result from the alteration of this separation distance, as shown in Table 1, where a 5% deviation in separation can cause >10% error in flow measurement. A deviation in diameter or height of the duct of 5% only causes a very small error of <0.05%. This has the benefit that the vertical height of the duct could be affected by a number of factors such as duct mounting arrangements, pressure and bending stresses and the airflow measurement would not change significantly. There is also a possibility that this configuration could be used as a transferable portable device on a number of ducts with different diameters. If, in practice, the circular duct deforms to a slightly elliptical shape, this only causes a small change in the cross-sectional area of the duct so not affecting the volumetric flow rate significantly.
If an ultrasonic transducer with a wide beam width is selected, they can be both mounted level to the printed circuit board so reducing the need for an angled mounting assembly. A reduction in the signal strength is the cost of this mounting arrangement but this is small when using a transducer such as the 400EP14D, which has a −6 dB beam width of 135°, as shown in Figure 4. This only amounts to an extra 2 dB of attenuation for the complete path for both experimental configurations. This also allows a wide range of duct diameters to be accommodated since, as the duct increases, the shortest path direction will move closer to the centre of the transducer beam so reducing the transducer attenuation. The reflective path does not attenuate the signal significantly because 99.99% of the signal energy is reflected because of the high acoustic impedance difference between air and steel [25].
The selection of the horizontal distance, Z, needs to be a compromise between sensitivity and the maximum allowable phase difference. The phase difference is the offset in degrees or time between two waveforms having the same frequency. The maximum allowable symmetric phase difference is ±180°, which equates to ±12.5 µs time delay for a transducer frequency of 40 kHz. If a phase difference beyond this range is encountered the velocity reading will wraparound and, for example, a positive reading will then become negative [26]. To avoid this, a margin of around 50% above the maximum typical air velocity was used as the maximum measurable air velocity. Hence the device should typically operate within a phase shift value of ±120° for a symmetrical plus and minus velocity range. The positive airflow velocity range can be increased at the expense of reducing the negative airflow velocity range if negative air velocities are unlikely to be created. The following Equation (10) is used to calculate the typical maximum differential transit time allowable for the ±120° maximum phase shift range specified:
Δ t m a x   = 1 ( 360 / 120 ) f 0
The maximum transducer axial separation distance, Zmax, for the specified maximum differential transit time, Δtmax, and maximum typical air velocity, Uupper, can be calculated using Equation (11) which is derived from equations described by Lie et al. [27]. The transducer separation distance, Z, can be shortened to extend the air velocity measurement range but the measurement accuracy could be degraded due to the timing resolution being too large or by the noise on the receive signal.:
U D T T M c 2 Δ t 2 Z     Z m a x c 2   Δ t m a x   2 U u p p e r
Figure 4. 400EP14D enclosed type piezoelectric transducer polar diagram superimposed with the typical acoustic path direction attenuation.
Figure 4. 400EP14D enclosed type piezoelectric transducer polar diagram superimposed with the typical acoustic path direction attenuation.
Sensors 15 10705 g004

3.3. Ultrasonic Transducer Transmitter Subsystem

The transmit signal used was a series of square waves at the transducer operating frequency of 40 kHz, which is less complex to produce and therefore less costly to implement than a sinusoidal waveform. To alleviate problems of receive transducer ringing due to the direct transmission of sound through the duct wall, a self-interference type method [28,29] was used to damp the ringing which is simpler to implement than using active damping [30] or wideband transducers [9,31]. This was done by transmitting a pulse with a 180° phase shift relative to the proceeding pair of pulses. A representation of this transmit drive waveform is shown in Figure 5.
Figure 5. Transducer transmit drive waveform at the output of the AWG.
Figure 5. Transducer transmit drive waveform at the output of the AWG.
Sensors 15 10705 g005

3.4. Ultrasonic Transducer Receiver Subsystem

As shown in Figure 6, the first stage of the receiver circuit consists of a load resistor which the energy from the mainly capacitive ultrasonic transducer is dissipated in, so creating a potential difference. The second stage consists of a current limiting resistor and two signal diodes connected in opposite directions from 0 V to the receiver signal to limit the maximum input voltage to no more than 0.6 V. The current limiting resistor also forms part of the stage 3 resistor capacitor low pass filter with a cut-off frequency of 100 kHz to remove high frequency noise. In the following two stages the signal is amplified by a second-order Sallen-Key high pass filter designed with a stop band set at 100 Hz (−30 dB) and pass band set at 800 Hz. This will give a flat phase response through the transducer in the 40 kHz ± 1 kHz bandwidth frequency range. The design voltage gain of each high pass filter is 50. The overall lower cut-off frequency was 2.3 kHz and the upper was 60.8 kHz with an overall designed voltage gain of 1400 at 40 kHz (in practice a value of 1000 was achieved). It was important to have the high pass filter to remove the 50/60 Hz mains pickup.
The receiver amplifiers were connected to a USB digital oscilloscope which was synchronized by the trigger out signal from the AWG to start sampling the incoming receive signal at a rate of 5 MHz. This data was then transferred to the computer to be processed by the LabVIEW software to provide airflow measurements.
Figure 6. Ultrasonic transducer single channel receiver amplifier circuit diagram.
Figure 6. Ultrasonic transducer single channel receiver amplifier circuit diagram.
Sensors 15 10705 g006

3.5. Signal Processing Method

To determine the time of flight time difference, the zero crossing time and polarity could have been used but there was a problem with the receiver waveform having a fluctuating DC offset which could shift the zero crossing point and cause errors. To alleviate this problem, the time of detection of the positive and negative zero crossing points were recorded from the expected zero flow time of arrival (calculated using Equation (6)) plus a one cycle delay, giving the waveform shown in Figure 7a. At this point the software would start looking for the first positive transition then after this occurrence, would look for the following negative transition and repeat until two cycles had been detected. The next step was to calculate the positive and negative half cycle midpoints which, in turn, would be used to calculate all the whole cycle midpoints (using Equation (12)) as graphically represented in Figure 7a,b:
t c 1 d n = t n 1 2 + t p 1 4 + t p 2 4
The time difference is calculated using Equation (13), by subtracting the first downwind cycle midpoint from the first upwind cycle midpoint, followed by the same for the second cycle midpoints from which the mean of these two results can be calculated:
Δ t T R = ( t c 1 d n t c 1 u p ) + ( t c 2 d n t c 2 u p ) 2
The mean airflow speed across the centre of the duct can then be calculated by using Equations (5)–(7).
Figure 7. (a) Determination of receiver downwind path waveform cycle’s midpoints from zero crossing points; (b) Illustration of cycle midpoints for upwind and downwind receiver waveforms.
Figure 7. (a) Determination of receiver downwind path waveform cycle’s midpoints from zero crossing points; (b) Illustration of cycle midpoints for upwind and downwind receiver waveforms.
Sensors 15 10705 g007

4. Experimental Setup

The aim of the experiment was to test the ultrasonic duct airflow measurement device as shown in Figure 8 against a Venturi flowmeter over a range of airflow speeds and temperatures.
Figure 8. Photograph of 100 mm wide square duct acoustic flowmeter.
Figure 8. Photograph of 100 mm wide square duct acoustic flowmeter.
Sensors 15 10705 g008
An existing air conditioning laboratory unit with a Venturi meter as shown in Figure 9a was used to provide an adjustable duct airflow rate and temperature in the range 16 to 44 °C for comparison with the acoustic flowmeter device under test. The air conditioning laboratory unit consisted of a 230 V AC 210 W inlet fan to supply air to a duct containing four separate 1 kW heaters and a single cooling heat exchanger.
Figure 9. (a) Front section of the ultrasonic flowmeter testing rig; (b) End section of the cylindrical duct flowmeter testing rig; (c) End section of the square duct flowmeter testing rig.
Figure 9. (a) Front section of the ultrasonic flowmeter testing rig; (b) End section of the cylindrical duct flowmeter testing rig; (c) End section of the square duct flowmeter testing rig.
Sensors 15 10705 g009
The differential pressure across the Venturi was measured by a PVM100 micromanometer (Airflow Developments, High Wycombe, UK). This was connected to the computer running LabVIEW via a serial to USB adapter for calculation of airflow mass and volume rate with corrections for air density variation. To compensate for the assumed Venturi inside surface roughness a discharge coefficient of 0.9877 was used. The test duct lengths before and after the ultrasonic acoustic airflow meter were constructed following recommendations described in the American Society of Heating, Refrigerating and Air Conditioning Engineers (ASHRAE) fundamentals [5] (p. 36.18) for measuring flow in ducts. This requires measurements to be done at least the equivalent of 7.5 hydraulic diameters in length after, and 2 hydraulic diameters before, a disturbance. The hydraulic diameter, Dh, of a duct is equivalent to four times the internal cross-sectional area divided by the perimeter length of the duct internal walls [5] (p. 21.7). So for circular or square ducts, the hydraulic diameter is equivalent to the diameter or width of the duct. The Venturi has only five hydraulic diameters before a disturbance but two 50 mm honeycomb flow straighteners are used to mitigate the need for the extra duct length required.
Tests were carried out on a 250 mm diameter cylindrical duct (Figure 9b) then on a 100 mm wide square duct (Figure 8 and Figure 9c) to cover the majority of duct installation types and flow velocities. The negative airflow velocity range was adjusted to a minimum to increase the positive velocity range so that the device would operate at maximum sensitivity for positive flow velocities.
In the first test, a series of airflow rates was produced by varying the inlet fan voltage in steps of 10 V between 120 to 210 V AC. At each voltage step, the Venturi flow rate was recorded against the acoustic flowmeter airflow rate. This test was to check the linearity and the maximum percentage RMS error of the ultrasonic flowmeter compared to the Venturi with varying flow rates. Table 2 lists the operating values of the reference Venturi airflow measurement system for the comparison period time of approximately 1 min.
Table 2. (a) Operating values for airflow reference system with 250 mm diameter circular duct attached and (b) with 100 mm wide square duct attached.
Inlet Fan (V)Mean Venturi Air Temp (°C)Mean Venturi Δ Pressure Readings (Pa)Standard Deviation of Venturi Pressure Readings (1 sigma)Calculated Venturi Mean Mass Flow Rate (kg/m3)Calculated Venturi Inlet Flow Velocity (m/s)Calculated Duct Mean Airflow Velocity (m/s)
12020.91280.350.11706.442.04
13020.91560.630.12947.122.26
14020.81820.500.13977.682.44
15020.72090.420.14968.232.61
16020.62310.430.15728.652.74
17020.62500.780.16348.992.85
18020.62620.680.16759.222.92
19020.52750.400.17169.442.99
20020.32860.720.17489.613.04
21020.22941.040.17739.753.09
(a)
Inlet Fan (V)Mean Venturi Air Temp (°C)Mean Venturi Δ Pressure Readings (Pa)Standard Deviation of Venturi Pressure Readings (1 sigma)Calculated Venturi Mean Mass Flow Rate (kg/m3)Calculated Venturi Inlet Flow Velocity (m/s)Calculated Duct Mean Airflow Velocity (m/s)
12023.1830.430.09415.217.99
13023.21020.290.10425.778.85
14023.21220.450.11406.319.68
15023.21410.450.12236.7710.39
16023.11540.000.12807.0810.87
17023.21660.210.13287.3511.28
18023.21750.210.13647.5511.58
19023.21830.000.13957.7211.85
20023.31890.290.14177.8412.04
21023.21950.490.14397.9612.22
(b)
The second test consisted of setting the fan voltage to the maximum step voltage of 210 V AC and measuring the flow rates with different levels of cooling and heating on the air conditioning laboratory unit. This test was to check the maximum percentage RMS error of the ultrasonic flowmeter with a selection of air temperatures between 16 and 44 °C because, as shown in Equation (1), the speed of sound changes with temperature which may lead to errors if temperature corrections for the speed of sound were functioning incorrectly.

5. Results and Discussion

Figure 10 shows the reference airflow velocity measured by the Venturi against the ultrasonic airflow measurement device under test in a circular and square duct. In the 250 mm diameter circular duct, the range of airflow velocities produced was limited by the output of the inlet fan to between 2 m/s and 3.25 m/s so, in the second set of tests, the smaller size of the duct resulted in a higher range of flow velocities of between 8 m/s and 12.25 m/s.
Figure 10. (a) 250 mm diameter circular duct ultrasonic airflow measurement vs. Venturi; (b) 100 mm wide square duct ultrasonic airflow measurement vs. Venturi; (c) Combined results of circular and square duct airflow measurements vs. Venturi.
Figure 10. (a) 250 mm diameter circular duct ultrasonic airflow measurement vs. Venturi; (b) 100 mm wide square duct ultrasonic airflow measurement vs. Venturi; (c) Combined results of circular and square duct airflow measurements vs. Venturi.
Sensors 15 10705 g010aSensors 15 10705 g010b
In both configurations the RMS percentage error was less than 3% with a linear response as shown by the high R2 values for the straight line fit across the range of air velocities tested. These findings are similar to the results obtained by Olmos [10] and van Buggenhout et al. [11]. Figure 11 shows the Venturi velocity against the ultrasonic airflow measurement device under test in a circular and square duct with a range of air temperatures.
Figure 11. (a) 250 mm diameter circular duct ultrasonic airflow measurement vs. Venturi with varying air temperature; (b) 100 mm wide square duct ultrasonic airflow measurement vs. Venturi with varying air temperature.
Figure 11. (a) 250 mm diameter circular duct ultrasonic airflow measurement vs. Venturi with varying air temperature; (b) 100 mm wide square duct ultrasonic airflow measurement vs. Venturi with varying air temperature.
Sensors 15 10705 g011
The maximum fan output rate was set on the air conditioning unit and not altered during the tests. There was a small increase in the measured flow rates as the temperature increased due to the expansion of the air in the duct after being heated. In both the circular and square duct scenarios the RMS percentage error was less than 3.5% with no compensation implemented for the error caused by the flow profile shape [32,33]. The low value of R2 for the results shown in Figure 11b could be due to the overlap of transmitter ringing with the received signal or the signal processing algorithm not having enough robustness to cope with this situation in a small duct. One possible solution to alleviate this would be a “W” shaped acoustic path to double the time of flight.
The design uses a number of techniques and design choices to lower the implementation cost of the device while still providing sufficient measurement quality. The design choices that have been found to work well are the single sided level mounted transducer arrangement for “V” shaped reflective path. The selection of 40 kHz enclosed type transducers was made because of their low cost. The cost of these transducers has fallen, due to mass manufacture to meet everyday use in applications such as car parking proximity sensors. They use a burst of square transmitter pulses which are much easier to implement electrically than the equivalent sine wave waveform. A 180° phase change of the burst pulse train has been used to suppress transducer ringing. The use of the differential transit time method for calculating the approximate time of flight with speed of sound temperature corrections has a much lower cost of implementation. This is because this technique does not have to rely on high-speed analogue to digital converters and intensive digital signal processing but could be implemented using voltage comparators and low-cost microcontrollers.
In the future the design could be further improved by the following:
  • Extensive testing on a wider variety of duct sizes and duct shapes with a greater range of airflow velocities.
  • Computer modelling of the ultrasonic flowmeter to evaluate its accuracy when it is fitted close to upwind airflow disturbances such as a bend causing duct airflow profile distortion. Test possible solutions to improve on this accuracy, to reduce the amount of expensive laboratory testing needed.
  • Experimental testing of the device when fitted in close proximity to disturbances such as bends in different types of duct shape and with turning vanes, where appropriate, and corroborate the computer modelling.
  • Extending the function of the device to measure temperature and humidity so that energy efficiency of output can be measured.
  • Extending the measurement range of the phase measurement beyond ±180° by using a waveform coarse correlation technique.
  • Add corrections required for inaccuracies caused by duct airflow profile.
  • Add corrections for humidity change which slightly affect the speed of sound.

6. Conclusions/Outlook

In this study, an in-duct ultrasonic airflow measurement device has been designed and tested. The airflow measurement results show that the accuracy is better than 3.5% RMS when used in a 250 mm diameter circular duct and in a 100 mm wide square duct, compared with a Venturi meter over a small range of airflow velocities. The range of the airflow velocities tested (which was limited by the output capacity of the air conditioning laboratory unit used) was 2−3.25 m/s for the 250 mm diameter circular duct and 8–12.25 m/s for the 100 mm wide square duct. The ultrasonic airflow measurement device also had a measurement stability of better than 3.5% RMS for a range of air temperatures between 16 °C and 40 °C.

Supplementary Materials

Supplementary File 1 includes a document with further design information which is an extended version of the design section included in this article. It can be accessed at: https://www.mdpi.com/1424-8220/15/5/10705/s1.

Acknowledgments

We would like to thank the staff from Northumbria University, especially Steve Colvin, Philip Donnelly, Ed Holmes, David Johnston, Pietro Maiello, Bobo Ng, Bruce Thompson and Keith Williams for their enthusiastic support.

Author Contributions

Andrew Raine is the main author of this article including the instrument design, experimental work and writing the paper. Sean Danaher contributed significantly to the analytical modelling and simulation of the instrument at the initial feasibility stage. Nauman Aslam, Christopher Underwood and Sean Danaher have supervised this work, which included participating in discussions, designing the experiments and refining the paper.

List of Symbols

SymbolDescriptionSI Units
cSpeed of soundm/s
DDiameter of ductm
DhHydraulic diametersm
f0Transducer centre frequencyHz
HHeight of rectangular ductm
LAcoustic path lengthm
tAir temperature in degrees°
tU0Transit time of acoustic signal in zero flow states
UmMean airflow inlet velocitym/s
UDTTMAirflow velocity using phase shift or differential transit time methodm/s
UTTMAirflow velocity using transit time methodm/s
UupperTypical maximum design air velocity speedm/s
ZTransducer separation distance with reference to duct axism
ZmaxMaximum transducer axial separation distance for airflow measurement rangem
ΔtmaxTypical maximum time of flight differences
ΔtTRDifferential transit time of the contra-propagating acoustic signalss
tTRijTransit time of the acoustic signals between transducerss
θAngle in degrees between acoustic path and the duct wall°
tn1First negative going zero crossing point time, ∴ 2nd is tn2s
tp1First positive going zero crossing point time, ∴ 2nd is tp2s
tc1dnFirst downwind cycle midpoint time, ∴ 2nd is tc2dns
tc1upFirst upwind cycle midpoint time, ∴ 2nd is tc2ups

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Yu, D.; Li, H.; Yang, M. A virtual supply airflow rate meter for rooftop air-conditioning units. Build. Environ. 2011, 46, 1292–1302. [Google Scholar] [CrossRef]
  2. Cui, J.; Wang, S. A model-based online fault detection and diagnosis strategy for centrifugal chiller systems. Int. J. Therm. Sci. 2005, 44, 986–999. [Google Scholar] [CrossRef]
  3. Dexter, A.; Pakanen, J. Fault detection and diagnosis methods in real buildings. International Energy Agency, Energy Conservation in Buildings and Community Systems, Annex 34: Computer-aided Evaluation of HVAC System Performance. Available online: http://www.ecbcs.org/annexes/annex34.htm (accessed on 12 September 2014).
  4. Yu, Y.; Woradechjumroen, D.; Yu, D. A review of fault detection and diagnosis methodologies on air-handling units. Energy Build. 2014, 82, 555–562. [Google Scholar] [CrossRef]
  5. ASHRAE Handbook, 2009, Fundamentals, S-I ed.; American Society of Heating, Refrigerating and Air Conditioning Engineers: Atlanta, GA, USA, 2009.
  6. Lynnworth, L.C.; Liu, Y. Ultrasonic flowmeters: Half-century progress report, 1955–2005. Ultrasonics 2006, 44, E1371–E1378. [Google Scholar] [CrossRef] [PubMed]
  7. Swengel, R.C. Fluid Velocity Measuring System. U.S. Patent. 22 May 1956. Available online: http://www.google.com/patents/US2746291 (accessed on 10 April 2015).
  8. Gas Flow Measuring Devices. Available online: http://www.sick.com/uk/en-uk/home/products/product_portfolio/flow_solutions/Pages/flow_devices.aspx (accessed on 3 May 2014).
  9. Tauch, M.; Witrisal, K.; Kudlaty, K.; Noehammer, S.; Wiesinger, M. System identification method for Ultrasonic Intake Air Flow Meter for engine test bed applications. In Proceedings of the 2012 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Graz, Austria, 13–16 May 2012; pp. 544–548.
  10. Olmos, P. Ultrasonic velocity meter to evaluate the behaviour of a solar chimney. Meas. Sci. Technol. 2004, 15, N49. [Google Scholar] [CrossRef]
  11. Van Buggenhout, S.; Ozcan, S.E.; Vranken, E.; van Malcot, W.; Berckmans, D. Acoustical ventilation rate sensor concept for naturally ventilated buildings. In ASHRAE Transactions; Proceedings of of the American-Society-of-Heating-Refrigerating-and-Air-Conditioning-Engineers, Long Beach, CA, USA, June 2007; pp. 192–199.
  12. Bragg, M.I.; Lynnworth, L.C. Internally-nonprotruding one-port ultrasonic flow sensors for air and some other gases. In Proceedings of the International Conference on Control, Coventry, UK, 21–24 March 1994; Volume 2, pp. 1241–1247.
  13. Rabalais, R.A.; Sims, L. Ultrasonic Flow Measurement: Technology and Applications in Process and Multiple Vent Stream Situations. Available online: https://www.idc-online.com/technical_references/pdfs/instrumentation/Ultrasonic_Flow_Measurement.pdf (accessed on 15 September 2014).
  14. Strauss, J.; Weinberg, H.; Kopel, Z. Ultrasound Air Velocity Detector for HVAC Ducts and Method Therefor 1996. U.S. Patent. 10 December 1996. Available online: http://www.google.co.uk/patents/US5583301 (accessed on 12 April 2015).
  15. Olmos, P. Extending the accuracy of ultrasonic level meters. Meas. Sci. Technol. 2002, 13, 598–600. [Google Scholar] [CrossRef]
  16. Conrad, K.; Lynnworth, L. Fundamentals of Ultrasonic Flow Meters. pp. 53–54. Available online: http://asgmt.com/paper/fundamentals-of-ultrasonic-flow-meters-2002/ (accessed on 12 April 2015).
  17. Vermeulen, M.J.M.; Drenthen, J.G.; den Hollander, H. Understanding Diagnostic and Expert Systems in Ultrasonic Flow Meters. Available online: http://asgmt.com/paper/understanding-diagnostic-and-expert-systems-in-ultrasonic-flow-meters-2012/ (accessed on 12 March 2015).
  18. Bohn, D.A. Environmental Effects on the Speed of Sound. J. Audio Eng. Soc. 1988, 36, 223–231. [Google Scholar]
  19. Han, D.; Kim, S.; Park, S. Two-dimensional ultrasonic anemometer using the directivity angle of an ultrasonic sensor. Microelectron. J. 2008, 39, 1195–1199. [Google Scholar] [CrossRef]
  20. Hirata, S.; Kurosawa, M.K.; Katagiri, T. Real-time ultrasonic distance measurements for autonomous mobile robots using cross correlation by single-bit signal processing. In Proceedings of the IEEE International Conference on Robotics and Automation, Kobe, Japan, 12–17 May 2009; pp. 3601–3606.
  21. Hofmann, F. Fundamentals of Ultrasonic-Flow Measurement for Industrial Applications. Available online: http://www.investigacion.frc.utn.edu.ar/sensores/Caudal/HB_ULTRASONIC_e_144.pdf (accessed on 12 September 2014).
  22. Chen, Q.; Li, W.; Wu, J. Realization of a multipath ultrasonic gas flowmeter based on transit-time technique. Ultrasonics 2014, 54, 285–290. [Google Scholar] [CrossRef] [PubMed]
  23. De Cicco, G.; Morten, B.; Prudenziati, M.; Taroni, A.; Canali, C. A 250 KHz Piezoelectric Transducer for Operation in Air: Application to Distance and Wind Velocity Measurements. In Proceedings of the 1982 Ultrasonics Symposium, San Diego, CA, USA, 27–29 October 1982; pp. 321–324.
  24. Quaranta, A.A.; Aprilesi, G.C.; Cicco, G.D.; Taroni, A. A microprocessor based, three axes, ultrasonic anemometer. J. Phys. E: Sci. Instrum. 1985, 18, 384. [Google Scholar] [CrossRef]
  25. Bentley, J.P. Principles of Measurement Systems, 4th ed.; Pearson/Prentice Hall: Harlow, UK, 2005; pp. 439–443. [Google Scholar]
  26. Han, D.; Park, S. Measurement range expansion of continuous wave ultrasonic anemometer. Measurement 2011, 44, 1909–1914. [Google Scholar] [CrossRef]
  27. Lie, I.; Tiponut, V.; Bogdanov, I.; Ionel, S.; Caleanu, C.D. The Development of CPLD-based Ultrasonic Flowmeter. In Proceedings of the 11th WSEAS International Conference on Circuits, Agios Nikolaos, Crete Island, Greece, 23–25 July 2007; pp. 190–193.
  28. Cai, C.H.; Regtien, P.P.L. Accurate Digital Time-of-Flight Measurement Using Self-Interference. IEEE Trans. Instrum. Meas. 1993, 42, 990–994. [Google Scholar] [CrossRef]
  29. Ji-De, H.; Chih-Kung, L.; Chau-Shioung, Y.; Wen-Jong, W.; Chih-Ting, L. High-Precision Ultrasonic Ranging System Platform Based on Peak-Detected Self-Interference Technique. IEEE Trans. Instrum. Meas. 2011, 60, 3775–3780. [Google Scholar] [CrossRef]
  30. Miller, G.L.; Boie, R.A.; Sibilia, M. Active damping of ultrasonic transducers for robotic applications. In Proceedings of the 1984 IEEE International Conference on Robotics and Automation, Atlanta, GA, USA, 13–15 March 1984; pp. 379–384.
  31. Buess, C.; Pietsch, P.; Guggenbühl, W.; Koller, E.A. Design and Construction of a Pulsed Ultrasonic Air Flowmeter. IEEE Trans. Biomed. Eng. 1986, BME-33, 768–774. [Google Scholar]
  32. Baker, R.C. Flow Measurement Handbook: Industrial Designs, Operating Principles, Performance, and Applications; Cambridge University Press: Cambridge, UK, 2000; pp. 24–29. [Google Scholar]
  33. Jung, J.C.; Seong, P.H. Estimation of the flow profile correction factor of a transit-time ultrasonic flow meter for the feedwater flow measurement in a nuclear power plant. IEEE Trans. Nucl. Sci. 2005, 52, 714–718. [Google Scholar] [CrossRef]

Share and Cite

MDPI and ACS Style

Raine, A.B.; Aslam, N.; Underwood, C.P.; Danaher, S. Development of an Ultrasonic Airflow Measurement Device for Ducted Air. Sensors 2015, 15, 10705-10722. https://doi.org/10.3390/s150510705

AMA Style

Raine AB, Aslam N, Underwood CP, Danaher S. Development of an Ultrasonic Airflow Measurement Device for Ducted Air. Sensors. 2015; 15(5):10705-10722. https://doi.org/10.3390/s150510705

Chicago/Turabian Style

Raine, Andrew B., Nauman Aslam, Christopher P. Underwood, and Sean Danaher. 2015. "Development of an Ultrasonic Airflow Measurement Device for Ducted Air" Sensors 15, no. 5: 10705-10722. https://doi.org/10.3390/s150510705

APA Style

Raine, A. B., Aslam, N., Underwood, C. P., & Danaher, S. (2015). Development of an Ultrasonic Airflow Measurement Device for Ducted Air. Sensors, 15(5), 10705-10722. https://doi.org/10.3390/s150510705

Article Metrics

Back to TopTop