Courtesy: MTU Onsite Energyīecause of these large, steady electrical loads, the load profile in a mission-critical application is likely to have less variability, in turn putting a more constant demand on the standby power system.
Although the gensets are not loaded to 100% of their standby rating at any time, the average load factor during the outage is near 85%. Similarly, very high load factors are found in semiconductor foundries, where electric furnaces cannot be shut down without destroying large amounts of product.įigure 2: This graph shows the load profile of gensets capable of an 85% load factor. In data centers, the computer server and HVAC equipment create high electrical loads that can vary little over time. Two examples of mission-critical facilities with high load factors are data centers and semiconductor manufacturing. However, many mission-critical facilities have large, less-varying loads that can severely stress standby power systems during an extended power outage unless steps are taken during system design to accommodate the potential for a higher average load factor.
DATA GENERATOR KICKS DURING POWER OUTAGE OFFLINE
Many facilities also have noncritical loads that can be taken offline during extended outages to reduce the average load factor on the standby system, if necessary. This is because most commercial facilities have variable load profiles that reduce the likelihood a power system’s 24-hour average load factor limitation will be exceeded, even during an extended outage.
It should be noted that any time that the genset is offline does not count toward the 24-hour average load factor.įor most facilities with properly designed emergency standby power systems, the possibility of exceeding a power system’s 24-hour average load factor limitation is remote. However, electrical loads are often added, and growing power needs may begin to tax the capacity of a standby power system. In practice, it would be unlikely that a standby power system would be initially sized so small as to require operating at 100% of capacity at any time during an outage. Figure 1: In this graph of a hypothetical standby load profile, the 24-hour average load factor is derived from the graph, where P is power in kW and t is time.
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