Up to $39 billion dollars is lost each year due to power interruptions. Poor power reliability, including voltage surges and sags, have a direct impact on enterprise operational efficiency. This in turn has the effect of reducing profitability.

Voltage sags can be particularly problematic for modern microprocessor-based equipment. Specially true as the ride-through time on power supplies also continues to decrease. A sag lasting longer than three cycles can cause problems with sensitive equipment such as servers, protective equipment, process controllers, and other types of microprocessor-based devices. These and other “smart” devices may experience intermittent lockups or corrupted data when voltage sags occur.

Nexus® series power quality meters analyze the power system health throughout an enterprise. They measure and record voltage surges, sags and allow users to understand the source of poor power quality conditions. Without this information, it is almost impossible to pinpoint the cause of voltage disruptions or equipment failure.

Moreover, Nexus® series power quality meters send out alarm emails in real time, giving immediate notification of outages or other power quality problems. And like EIG’s EnergyPQA.com® cloud solution collects all power quality data and generates reports on hidden threats that affect the reliability and health of the power system and the equipment connected to it.

Power Factor is the ratio of the real power absorbed by the load to the apparent power flowing in the circuit. A machine with a low power factor draws more current than a machine with a higher power factor (closer to 1) for the same number of Watts. Poor power factor causes a higher amount of current for the same power draw. Higher currents increase the energy lost in the distribution system, and require larger wires, higher rated transformers, and other equipment. Poor power factor can also result in damage to equipment as well as higher energy usage and resultant coasts. In many jurisdictions, utilities penalize customers for excessive power factor.