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Making the most of energy with efficient pumping
Pumps have outgrown their role as simple mechanical workhorses. With the inclusion of “computing capability,” they now can manage both energy consumption and processes alike. With embedded intelligence, they also become a great tool to monitor and implement maintenance programs—reactive, proactive and preventative.
The energy management aspect may be more widely understood today, simply because of the visibility of energy expenses, the clear opportunity to reduce consumption around key applications (e.g., pumping) and the increasing need on the part of the water industry to better manage operating budgets in response to budgetary constraints.
By taking a systematic approach to energy management, significant gains can be made to reduce energy costs. The first step includes an energy audit, followed by installation of energy measurement systems to target key consumption areas. The next step is to take advantage of “passive” energy-efficiency opportunities that reduce energy consumption in normal operation (e.g., energy-efficient lighting and high-efficiency motors). This process is illustrated in Figure 2.
Then we move to the “active” energy-efficiency mode, where intelligent pumping comes into play. Intelligent pumping is defined by ARC as the combination of a pump and a variable-frequency drive (VFD) with digital control capability. Based on the typical pump life-cycle cost profile, energy costs account for nearly 40% of the total. Combined with maintenance and repair, those costs can escalate to more than 80%. Figure 1 shows a breakdown of a pump’s life cycle costs.
VFDs offer several benefits in pumping system applications:
• If the pump is variable pressure and/or flow, a VFD can provide more enhanced energy savings than mechanical means and potentially reduce total system costs.
• If the pump is a constant-speed pump that is oversized and/or poorly matched to the best efficiency point, reducing the pump speed can correct for either situation.
• If the application is variable loading and has an oversized motor, the VFD can solve both challenges simultaneously.
The potential to reduce the speed of the pump system to match the required load provides an outstanding opportunity to reduce energy consumption. Pumping is a broad field with a variety of technologies. Positive-displacement pumps, centrifugal pumps and jack pumps perform differently, thus the effect of changing speed is different. Because most pumps are centrifugal, however, we can examine this application to illustrate the possibilities.
Centrifugal pumps utilize something called the Affinity Laws. The Affinity Laws of centrifugal loads state that:
• Flow is proportional to motor speed;
• Pressure is proportional to the motor speed squared; and
• Power is proportional to the motor speed cubed.
For a modest reduction in speed of 10%, the expected reduction in energy consumption is in excess of 25%.
There are some additional benefits to the application of VFDs in pumping systems that should be mentioned:
• They reduce mechanical stress on the pumps and pump systems; resulting in longer life and reduced downtime/reliability issues.
• Less maintenance is required on the pump systems (e.g., valves and inlet guide vanes); and
• Reduced inrush currents lower overall demand and reduce the likelihood of incurring peak power demand charges.
Once these measures are implemented, the next step is to monitor, maintain and improve the system in order to ensure maximum energy savings over time.
Let’s take a look at the maintenance side of the equation. Most installed pump systems provide rudimentary data (e.g., running status) and not ready status of the control circuit. While this method has served well for decades, it presents challenges. First, monitoring the contact of a starter does not detect if the wires have become disconnected or if the linkage between the pump and motor is intact. Likewise, the not-ready status will indicate if an electrical problem is present; it will not identify what the problem is or how it occurred.
These limitations can be quite costly. In 1997, Kellogg Brown & Root (now known as KBR Inc.) stated that 85% of troubleshooting time is spent on dead ends. If the time spent on dead ends is minimized, then the task is minimized.
So how much does maintenance cost? The true cost of maintenance includes labor, costs, fines, remediation and impact on perception. Figure 3 (see page 8) shows a graph Meta Group released in October 2000 that identifies maintenance costs by industry. If the pumping system is in energy, then the cost can be $3 million for each hour of maintenance. If the pump is in water and wastewater, the cost is about $750,000 per hour.
Now that we have an idea of the true cost, the next step is to determine the main causes of outages. While a complete discussion of all the causes is beyond the scope of this article, we can look at the motor to get an idea.
Figure 4 (see page 8) shows data from Cooper Bussmann that reflects the causes of motor failures. It indicates that voltage conditions and overloads (which are related to torque) can detect 44% of failures. Rotor failures, bearing failures, contaminants and some of the miscellaneous failures also can impact torque. Likewise, pump failures can impact torque. Torque changes will be reflected in current or power draw. Monitoring power, current and, if possible, voltage can detect 81% to 90% of motor failures, plus some pump failures.
So, what technologies are available for today’s pump control system that can enhance the available data?
One we already touched on is the VFD. Today’s drives analyze performance and create a collection of parameters that can be used to monitor the motor. For instance, Schneider Electric’s ATV 61 has 858 parameters. Some of these parameters (e.g., voltage, current, power, current at last fault, power at last fault, voltage at last fault and torque) are relevant to pumping. Other parameters are more suited for other markets.
Another area where one can collect data is on constant-speed motors. New motor management systems, such as Schneider Electric’s TeSys T, perform data analysis and the function of an overload relay. They can be used where standard eutectic, bimetallic or solid-state devices are used.
A motor management device will measure current and other factors. Like the VFD, these factors will be converted to parameters that can be monitored. The TeSys T unit has 53 parameters in the base unit and an additional 19 parameters in the expansion unit. This expansion unit provides voltage measurement and combines voltage with current to provide power measurement.
As we progress through the 21st century, pumping will need to be more efficient in order to make the most of energy. This can be done by directly utilizing energy-saving techniques and by saving resources through enhanced maintenance.