I went for a bike ride the other day for the first time in months and quickly realized that my bike and I were both out of shape. As I rode, I wondered how much the lack of maintenance was costing me in terms of riding efficiency. Was I exerting more energy to go the same distance compared with an optimally maintained bike? How much more energy? I had no idea.
So it goes with buildings systems. Do you know how efficient your building is or the efficiency gain your building systems could achieve with a small amount of maintenance?
Data is key
Lately, we have been reading a host of articles on the importance of “big data” and the analytics being used on that data to support smarter building technology. These analytics are used for a wide array of purposes, from dashboards to understanding utility usage patterns.
The various purposes for building-level analytics are ushering in new ideas about how to lower operating costs. However, bringing big data down to a building systems or equipment level is emerging as the next step forward in knowing how to run facilities in the most efficient manner.
How will equipment data be used in the future?
- Understand how efficiently mechanical and electrical equipment is running
- Track how efficiently the building systems are operating, in real time
- Minimize energy consumption and labor costs using data-driven maintenance techniques
We are approaching this next step forward in the evolution of smart buildings and soon will see technology-enabled service offerings that will augment the preventive and reactive maintenance techniques of the past. These offerings will allow us to use a combination of technology, big data collection and new analytical capability to help facility professionals understand the efficiency losses in operating systems and the efficiency gains from performing maintenance or repairs in a real-time fashion.
Would being able to see the efficiency of your building systems in real time allow you to make better decisions around your maintenance and repair practices? In the future, it will. Soon putting data to work will be “just like riding a bike.”