Building maintenance is a significant expense for most facilities, typically taking up around 35 percent of a facility’s operating budget—almost as much as utilities (38 percent) and more than janitorial services (27 percent). Having an efficient and cost-effective maintenance program that keeps equipment operating at as close to peak performance as possible should be a high priority for any building owner.
Unfortunately, that’s often not the case. Most building owners (55 percent) use reactive maintenance: they simply wait for the equipment to fail before taking any action, which results in increased costs for equipment replacement and labor. About 31 percent of building operators use a preventive maintenance program, in which maintenance inspections are performed at specified intervals—like having the your car’s oil changed every 3 months or 3,000 miles. Compared to reactive maintenance, preventive maintenance can save facilities up to 18 percent. That still leaves a lot of room for improvement.
The most effective strategy to maintain equipment is predictive maintenance. With this approach, maintenance is performed based on the actual condition of the equipment rather than the all-at-once, one-size-fits-all approach of preventive maintenance. In predictive maintenance, data provided by sensors is analyzed to actually anticipate potential problems and proactively schedule maintenance.
The benefits are endless. According to the DOE, predictive maintenance can reduce energy and maintenance costs by up to 30 percent. Mechanical breakdowns can be reduced or eliminated, which minimizes downtime and increases productivity. And since only 12 percent of commercial buildings in the U.S. currently employ predictive maintenance, there’s a lot of room to save energy and lower maintenance costs for building owners with the foresight to embrace this technology.
Tenzing Energy Solutions is an innovator in predictive maintenance services. Our industry-leading IoT platform uses strategically placed sensors to create a building management network. This network captures and shares real-time data automatically, then performs analytics to identify potential maintenance problems. For more information, please email email@example.com.