Take care of the money sensors
In 1997, I was working on a 17,000-ton central plant that served an industrial facility for the development of chip fabrication prototypes. The plant ran 24/7 and was never shut down—even for maintenance. We were working on a project to replace two of the chillers and optimize the control sequences.
In 1997, I was working on a 17,000-ton central plant that served an industrial facility for the development of chip fabrication prototypes. The plant ran 24/7 and was never shut down—even for maintenance. We were working on a project to replace two of the chillers and optimize the control sequences. The plant was controlled by industrial programmable logic controllers and had high-quality instrumentation including three-wire platinum resistance temperature detector (RTD) sensors, each with a dedicated transmitter.
We were in the process of recalibrating the temperature sensors using a dry-well bath. I was at the front end computer reading the energy management control system (EMCS) signal and my business partner was with the operators removing sensors and putting them in the dry-well bath. They had just removed the condenser water return sensor and signaled on the walkie-talkie that it was in the dry-well bath. I looked at the screen and noted that its value had not changed.
“What temperature are you set at?” I asked. They replied with a number that did not match what was on the screen in front of me. They changed the setpoint on the bath and, to my surprise, it was the condenser water supply sensor reading (not the condenser water return sensor reading) that changed on the screen.
This, to our horror, was not only an error on the EMCS graphics but a mismapped sensor in the control logic as well. The owners had been controlling the entire 17,000-ton plant on a condenser water return sensor that was mismapped and improperly scaled in the EMCS system. To put this error in perspective, we achieved ~2.5 GWh/yr savings by upgrading the control sequences (and remapping the proper sensors).
Thus began my interest in (and obsession with) the money sensors. This article will present a few cases of money sensors gone awry, tips to recognize them, and some tools and techniques to keep them in line.
What are the money sensors?
Simply put, a money sensor is a sensor on which a small error in accuracy can yield large changes in your client’s utility bill. Examples include:
Economizer high-limit switches
Humidity sensors for control of space humidification (particularly in facilities like museums, data centers, and hospitals)
CO 2 or CO sensors that are used for demand control ventilation
Pressure sensors that are used to control fan speeds, pump speeds, and variable air volume (VAV) box airflow
Supply air temperature sensors for large air conditioning and air handling units (AHU)
Central plant control sensors like chilled water and condenser water supply temperatures, or flow meters if used for equipment staging
Revenue meters like those for submetering gas, steam, chilled water, and electricity.
Noticeably missing are most zone controls, including thermostats. CO 2 sensors (located in the zone) are included as their logic often cascades to the control of the minimum outside air of the AHU or air conditioning unit for the entire building. VAV box pressure transducers (also in the zone) are another exception as sloppy box control can significantly impact the AHU fan energy and the amount of reheat. In the examples that follow, we’ll discuss issues that we’ve uncovered with money sensors and some tools and tips for making them more reliable.
Economizer high-limit switches
Economizers are required in energy codes including the International Energy Conservation Code and ASHRAE Standard 90.1. Both of these codes include limits on the types of high-limit switches that can be used based on climate. The purpose of the economizer high-limit switch is to determine when it is more beneficial to bring in outside air than return air. When these switches fail, you either lose the potential energy savings from “free” cooling or you inadvertently increase the cooling load by bringing in excess outside air.
There are three technologies for high-limit switches: temperature based; enthalpy based, and the H705A solid-state enthalpy controller from Honeywell that is commonly used in smaller packaged units. As shown in Figure 1, the solid-state enthalpy controller has a nonlinear curve that acts like a dry-bulb sensor in low humidity and a wet-bulb sensor in high humidity.
Temperature sensors are fairly stable and are the easiest of the three to validate in the field. The enthalpy sensors and solid-state enthalpy controllers are subject to drift and are almost impossible to calibrate in the field. Furthermore, the solid-state enthalpy controllers have a large dead-band that makes their control very sloppy in practice.
A seminar at the ASHRAE 2010 Winter Meeting investigated the “Impact on Humidity & Enthalpy Sensor Error on Economizer Performance.” This presentation demonstrated the energy impact of a relatively small error in either an enthalpy or solid-state enthalpy controller (1 Btu/lb or ~5% RH) in the climates of Chicago, Albuquerque, N.M., San Francisco, and Atlanta. The presentation concluded that the inevitable sensor drift makes enthalpy and solid-state enthalpy controllers less efficient dry-bulb sensor technologies. It recommends a differential dry-bulb switch in a mild or dry climate and a fixed reference dry-bulb switch in a humid climate. Unfortunately, many smaller packaged units are available with only the solid-state enthalpy controller, and several of the major air conditioning unit manufacturers don’t offer differential dry-bulb switches.
Another issue that can adversely impact the performance of an air-side economizer is the location of the outdoor sensor for the high-limit switch. If this sensor is placed in direct sunlight and is not shielded, it will be biased to a higher reading than the ambient dry-bulb temperature. The result is that many hours of free cooling will be missed. Similar bias can be introduced by locating the sensor in an exhaust stream. One solution is to buy an aspirated sensor with a radiation shield. However, this solution is expensive and is not cost effective for smaller air conditioning or AHUs. For Web-based control systems there is another solution: using the Internet to report the ambient dry-bulb temperature from a nearby high-quality weather station such as a National Oceanic and Atmospheric Administration (NOAA) site. All NOAA sites are available through XML protocols. NOAA has nearly 300 locations in the United States.
Humidity sensors are used to control humidification and dehumidification for a wide variety of energy-intensive facilities including data centers, manufacturing facilities, hospitals, and museums. The Iowa Energy Center did extensive testing of the commercially available humidity sensors and found that very few met the manufacturers’ stated accuracy out of the box, and that nearly all of these sensors experienced significant degradation of accuracy over time. In an application with tight humidity control, sensor error can result in huge amount of wasted energy. Review these reports for selection of control sensors.
A recent survey of computer room air conditioning (CRAC) units reveals the result of both sensor inaccuracy and poor placement of sensors. Table 1 presents a survey of six water-cooled CRAC units with humidifiers. The first three columns are a survey of the temperature and humidity at the location of the CRAC unit control sensor using a highly accurate humidity transmitter that had just been factory recalibrated. The next three columns show the readings from the CRAC unit panel using the unit-mounted control sensors that are located in the CRAC unit return. Comparing these to the reference probe reveals inaccuracy in both the dry-bulb and RH sensors used by the manufacturer. For both the reference and CRAC unit sensor readings, the dew-point temperature was calculated.
As can be seen in this table, the dew-point remained nearly constant in the measurements of the reference probe but varied wildly in the readings from the CRAC unit control sensors. The results of this inaccuracy are displayed in the last column: Two of the units, AC-008 and AC-011, were actively humidifying, and a third unit, AC-006, was actively dehumidifying. The units were using electrical energy to boil water in two units only to use more electrical energy to condense that water in a third unit. Furthermore, the placement of the control sensor in the CRAC unit return combined with the use of relative humidity (as opposed to dew-point temperature) for control caused the unit with the lowest dew-point temperature, AC-006, to be dehumidifying when it should have been humidifying if its sensors had been accurate.
Demand control ventilation
Demand control ventilation (DCV) is used to save energy in systems serving high-density occupancies like conference rooms, theaters, and classrooms. It typically employs CO 2 sensors that are placed at the breathing level of the occupants. As occupants enter the room, the CO 2 levels increase and the controls increase either the outside air or zone box minimums to dilute the CO 2 and other occupant-borne contaminants. These controls are required by many energy codes including those based on ASHRAE Standard 90.1.
The Iowa Energy Center is just completing testing of CO 2 sensors across the range of commercially available technologies. These include single-beam, single-wavelength sensors with and without automatic background calibration; dual-beam, single-wavelength sensors; and single-beam, dual-wavelength sensors. The results of this testing showed a wide variation of accuracy over the range of products and even across manufacturers using the same core sensors. The researchers also documented the effect of humidity and atmospheric pressure on sensor accuracy.
There have been a number of field studies on the accuracy and drift of DCV sensors. Michael Apte of Lawrence Berkeley National Laboratory in California wrote an excellent summary of the studies in 2006. These studies investigate issues of both sensor accuracy and sensor placement.
Switch selectable pressure transmitters
Switch selectable pressure transmitters are popular with control contractors as they can use the same product on a range of applications and simply “flick a switch” in the field to get them to work. They work by amplifying the signal over a portion of the sensor’s range. For example, if you have a 0- to 10-in. pressure transducer, you flick a switch and the section from 0 to 1 in. is amplified to the full range of output. Although this works in theory, it often fails in practice. Amplifying the signal devices also amplifies the sensor error. As a result, you have a larger signal-to-noise ratio on the amplified section of the sensor.
On a recent laboratory retrofit project with tracking VAV boxes, the control contractor submitted switch selectable pressure transducers for the VAV box airflow that were prohibited in our control specifications. I rejected the control contractor’s submittal. The contractor appealed to the owner, stating that they had already purchased several hundred transducers and the owner allowed the contractor to install them. During the commissioning, the contractor could not get the boxes to keep from hunting. The culprit was the switch selectable pressure transducers, which never should have been installed in the first place.
I have made a case for the application of high-quality sensors and transducers at critical locations such as those used for plant or large AHU supply temperature or pressure control. An exception is a sensor that is used with demand-based resets. An example is a duct supply pressure sensor for a VAV fan whose setpoint is reset to keep the most demanding VAV box damper at or near 100% open. When demand-based reset is employed, the pressure (or temperature) setpoint is reset over a range. The actual temperature or pressure is not critical. A drift in the control sensor will be corrected automatically by the actual demand from the zones.
When you design control systems, take care to identify the money sensors. Specify high-quality sensors that are stable, and verify their performance in the field through spot checks or calibration. Use resources like the Iowa Energy Center and the national laboratories, where researchers have independently tested the range of available technologies. If the project is large enough, consider independent testing of critical sensors at a third-party laboratory. For example, the University of Utah and the University of Colorado both have flow testing facilities.
Where possible, use demand-based reset of temperatures or pressures to reduce the impact of sensor error on operating costs. These controls save energy in addition to reducing the sensitivity to sensor error.
And by all means avoid switch selectable sensors where you need to rely on sensor performance.
A little extra money spent up-front for quality instrumentation field verification can save significant money down the road, not only in energy costs but also in loss of product from sloppy controls, increased labor to troubleshoot systems, and from costs to locate and replace components like actuators that can fail prematurely from excessive hunting.
Table 1: Field survey of CRAC units with reference temperature and humidity sensor
CRAC unit panel
Cooling and dehumidification
Cooling and humidification
Cooling and humidification
|Search the online Automation Integrator Guide|
Case Study Database
Get more exposure for your case study by uploading it to the Control Engineering case study database, where end-users can identify relevant solutions and explore what the experts are doing to effectively implement a variety of technology and productivity related projects.
These case studies provide examples of how knowledgeable solution providers have used technology, processes and people to create effective and successful implementations in real-world situations. Case studies can be completed by filling out a simple online form where you can outline the project title, abstract, and full story in 1500 words or less; upload photos, videos and a logo.
Click here to visit the Case Study Database and upload your case study.