Level Among Layers Accurately Determining Interface

Radio frequency (RF) admittance-based level sensing has been one of the best technologies for indicating and controlling interface applications. The very nature of most interface applications (conductive vs. nonconductive liquids) plays to the technological strengths of RF admittance technology.

08/01/1998


KEY WORDS

 

  • Process control and instrumentation

  • Level sensing and measurement

  • Sensors

Radio frequency (RF) admittance-based level sensing has been one of the best technologies for indicating and controlling interface applications. The very nature of most interface applications (conductive vs. nonconductive liquids) plays to the technological strengths of RF admittance technology. Recent improvements in ultrasonic level-sensing technology have been leveraged to enhance these abilities (see Fig. 1).

Finding that ragged edge

A typical interface application often consists of a nonconductive liquid over a conductive one, for example, a hydrocarbon over an aqueous solution. If there is a "clean" and defined separation between the conductive and nonconductive phases most RF- or capacitance-based liquid level systems produce an accurate indication of the interface's location. If the interface develops an emulsion, or "rag" layer that separates the phases, measurement becomes more complicated. In this situation most RF- or capacitance-based technologies will indicate that the interface is "somewhere" undefined in the rag layer.

To accurately define the liquid interface and the rag layer, RF admittance technology must be used. By careful selection of the sensing-element capacitance and transmitter frequency, users select whether they want to see the top or bottom of the rag layer. This is important if the user plans on "pulling off" product without including contamination that may be present in the rag layer.

In contrast, interface applications that have similar electrical characteristics, such as a layer of sand under water, cannot be measured effectively by RF-based systems. These systems see both water and sand as conductive materials and cannot differentiate between them. For these types of interfaces, an alternate technology is required. Interfaces with good separation of either acoustical or physical properties can be measured with an ultrasonic technology (Fig. 2).

In these applications, an ultrasonic sensor can be submerged in the upper phase. The sensor then uses the return echo to detect a heavier, dissimilar phase below it. This is particularly effective when there are enough solids in the lower phase or enough emulsion in a rag layer to allow a return echo. Primary uses of this technology are liquid/solid separation in water/wastewater treatment and refinery operations. It is also used in applications where liquids (water, crude oil, etc.) are extracted from wells or from settling (gravity separation) operations.

Combination of the two

A method that combines both technologies can be used to indicate the top and bottom of a rag layer. For example, in a phosphorus storage application, the vessel must be flooded with water to prevent the element's exposure to air. By keeping the ultrasonic transducer in contact with the water, a device can be used to sense the return echo off the top of the rag layer. An RF admittance system can then be used to determine the bottom of the rag layer, providing complete information for interface control and rag layer thickness (Fig. 3).

In operation, the ultrasonic system ensures that as level changes, the rag layer does not become exposed to air and self ignite. The RF system watches the bottom of the rag layer to ensure that as the phosphorus is removed from the vessel bottom the rag layer is not pulled off with the phosphorus, causing possible contamination.

Another method of ensuring interface control uses a dual-input RF admittance system. The dual input "smart" transmitter works with two sensing elements—one element measures the material interface, the other corrects for changing process parameters that are not directly measured (Fig. 4).

In a typical interface application, as the electrical characteristics of the upper and lower phase become close to each other, the more difficult it is to recognize the difference between the two and provide an accurate level measurement. Dual-input systems leverage RF admittance technology and use the reference input to monitor the changing electrical characteristics of the semiconductive phase.

The reference sensor is mounted in a location where it will never see the interface level change and gathers data solely on the changing characteristics (or composition) of the semiconductive phase changes. As long as the conductivity of the semiconductive phase remains below a conductivity threshold determined by sensing element selection, it will accurately track the interface. This method makes real-time adjustments to the reference point based on its analysis of the semiconductive phase changes.

For more information on Drexelbrook Engineering Co., visit www.controleng.com/info .


Author Information

Don Koeneman, a 20 year veteran with Drexelbrook, is product manager for its continuous RF level product line. Mr. Koeneman received his electronics education in Sonar from the U.S. Navy and his RF technology experience from Narco Scientific, Avionics Division.




No comments
The Engineers' Choice Awards highlight some of the best new control, instrumentation and automation products as chosen by...
The System Integrator Giants program lists the top 100 system integrators among companies listed in CFE Media's Global System Integrator Database.
The Engineering Leaders Under 40 program identifies and gives recognition to young engineers who...
This eGuide illustrates solutions, applications and benefits of machine vision systems.
Learn how to increase device reliability in harsh environments and decrease unplanned system downtime.
This eGuide contains a series of articles and videos that considers theoretical and practical; immediate needs and a look into the future.
Sensor-to-cloud interoperability; PID and digital control efficiency; Alarm management system design; Automotive industry advances
Make Big Data and Industrial Internet of Things work for you, 2017 Engineers' Choice Finalists, Avoid control design pitfalls, Managing IIoT processes
Engineering Leaders Under 40; System integration improving packaging operation; Process sensing; PID velocity; Cybersecurity and functional safety
This article collection contains several articles on the Industrial Internet of Things (IIoT) and how it is transforming manufacturing.

Find and connect with the most suitable service provider for your unique application. Start searching the Global System Integrator Database Now!

SCADA at the junction, Managing risk through maintenance, Moving at the speed of data
Flexible offshore fire protection; Big Data's impact on operations; Bridging the skills gap; Identifying security risks
The digital oilfield: Utilizing Big Data can yield big savings; Virtualization a real solution; Tracking SIS performance
click me