For building operators, being targeted means recognizing that some systems will be functioning well and some not so well at any given time. However, knowing you have a problem (i.e. an outlier) is only the first step. Once you have utilized data analysis to identify outliers, it's important to take the next step and deploy additional tools to ascertain why those outliers are having problem. At this stage, the concept of Fault Detection Diagnostics (FDD) comes into play.
Fault Detection Diagnostics (FDD) targets energy and mechanical issues, and though the concept has been prevalent in the building science world for time, it seems FDD is gaining ground in the mainstream. FDD tools sift through your various data sources and, instead of saying "this building is having an issue," they say, "this air handler, or chiller, or rooftop unit is having an issue." Furthermore, FDD tools not only pinpoint equipment issues, they also ideally tell you how much it's costing you, simplifying the prioritization process.
In short, FDD tools provide crucial steps toward targeted, smarter decision-making relative to your energy budget. However, a "buyer beware" statement is in order. Be aware that some companies advertising FDD tools might glaze over the fact that extensive new sensor and hardware installation will be required for their tools to return results. This can translate to significant expense, as well as a slow return on investment. If you are considering FDD tools, hone in on those that utilize your existing infrastructure and data sources, and then add on as necessary once you've realized positive ROI.
Proactive practices replace reactive responses
Last but not least, prehabilitation is proactive. For an athlete, this means anticipating injuries rather than waiting for them to happen, as well as knowing that if the body is properly conditioned it can heal faster than if not.
For building operators, being proactive involves leveraging predictive analytics to facilitate smarter and faster decision-making. Predictive analytics tools utilize historical data to look for patterns, and then use forecasted data to determine how those historical patterns will shape future performance. Many companies are already using predictive analytics to find out about their customers' behavior, the direction of the market, and so on. These same tools can help building operators run their buildings more intelligently.
For instance, utilizing predictive analytics, you might look at warm weather that is expected or high occupancy that is scheduled and preemptively pre-cool the building to offset the spike in demand. Or, you might use market pricing in conjunction with historical usage data to make better-informed forward and real time energy purchases. In essence, once you have an understanding of the past that is based on historical data, you are able to make well-informed predictions about the future. And, you'll find it much easier to stay ahead of the curve than playing catch up.
The possibilities for applying prehabilitation methods to buildings are endless with a clear understanding and correct application. Whether you're a building operator, energy manager or facility manager looking for ways to take the next step in reducing your energy and maintenance costs, take a hard look at one of your favorite athletes who's at the top of their game and consider how their physical conditioning program can inspire you to condition your buildings for optimal performance, too.
Runner photo via Shutterstock.