IoT Meets Building Automation
Michael DaviesMichael Davies
In their early days, building management systems (BMS), also called building automation systems (BAS), proved to be a game-changer. The availability of a computer-based control system that could automatically monitor and manage a building’s largest and costliest operational components helped facilities managers do their jobs better. Building automation systems saved time and money, reduced energy waste, and gave facilities managers a way to better monitor their operations.Â
We must remember that IoT-based analytics platforms work only because they connect people with technology—without humans at the helm, they’re of little value.
Fast-forward to today, and you have another game-changer: the Internet of Things (IoT) for buildings. At their core, these technologies intersect in some important ways, but it’s where the IoT veers off from BMS that makes it more valuable to facilities personnel as a management tool. This article examines how an IoT analytics reporting platform can enhance the performance of the BMS by offering feedback on energy efficiency—and how that change might impact the role of facilities managers.
The goal of building management systems was—and still is—to help optimize building performance by
IoT for buildings has the same goal of performance optimization (and by extension, saving money) through data and automatic control, but advanced technology takes these aspects many steps further than a traditional BMS system can.Â
The data captured by BMS systems is somewhat limited in use. Here’s why:
IoT for buildings, on the other hand, makes data collection and analysis simple and cost-effective, and most systems are built for the sole purpose of improving performance. These tools enable remote monitoring of data, bring data from disparate sources together, and catalog and analyze the data for actionable insights. That allows building managers to be more fluid and agile in their ability to respond to certain conditions and control costs.Â
1. Data from a variety of sources—even those outside your building—can be brought into the fold for analysis. For example, weather data can be combined with utility data (pricing) and HVAC operating data to help you strategize about ways to reduce operating costs on a hot day. If you know in advance the periods of high demand, and therefore the times when energy prices are more expensive, you can elect to turn on the HVAC earlier in the day to cool the building before that peak time occurs.Â
2. Data can be gathered on a more granular level to achieve greater savings. BMS systems have data only on the major pieces of equipment in your building; IoT allows you to collect data about any aspect of your building’s operation. For example, you can attach IoT sensors to all your building’s equipment (not just the major operational components) for the purpose of power-quality monitoring. Measuring the characteristics of your power supply—including real, apparent, and reactive power—as well as your active energy consumption, can help identify how efficiently your building is using electrical power. If the ratio of real power (kW) to apparent power (kVA) is below 0.85, your utility is likely charging you a power factory “penalty” for inefficiency. Essentially, a kW/kVA ratio below 0.85 means the facility has a low power factor and therefore is not optimizing reactive power use. By taking corrective action, you can avoid this additional charge and lower your bill.
3. Advanced data analysis technology detects barely detectable trends. For example, BMS system set points are established once and then forgotten, giving you no way to identify when the performance of a particular system “drifts” from its original calibration and becomes deficient. The advanced software employed by many IoT building systems uses machine learning to highlight exceptions, anomalies, or aberrant behavior in performance, indicating instances of possible drift. The continuous feedback loop provided by these platforms means you can ensure your equipment is always operating at top efficiency, thus you get maximum return on your investment. Â
Building automation enables the basic scheduling of systems—like turning lights on and off at certain times—but this approach does not consider the many factors that play into system optimization.Â
Greater efficiencies can be achieved when you can control your equipment based on an analysis of a variety of factors, such as the following:
You control the kind of data it collects, such as the following:
IoT-based reporting and analytics platforms promise to be disruptive, but not in the way you might think. These advanced systems won’t replace facilities personnel—they’ll simply offer more insight into ways to optimize energy efficiency.Â
One obvious difference is the number of endpoints that will have to be managed. In the future, there will likely be an abundance of IoT sensors collecting data on temperature, humidity, static pressure, and more, offering greater visibility into building performance. But the more significant change will be in how remote monitoring of more endpoints can enable feedback loops to determine what approaches offer greater energy efficiency. Having the capability to view the performance of individual system components in context of the larger building operations means there will be more opportunities for facilities managers to provide value.Â
With the more proactive management strategy that IoT enables, managers can better strategize about ways to cut costs and make a noticeable impact on the bottom line. They will also be well-equipped to contribute substantially in terms of achieving sustainability goals.
Staff members can react more quickly to potential operational issues, being able to pinpoint the source of a problem right away. They’ll also have the information they need to address impending equipment failures before costly, inconvenient breakdowns happen. Maintenance costs are less expensive than emergency repairs. And imagine what it might look like when emergencies occur: a well-informed facilities manager could relay the exact location of a building fire or a dangerous air quality zone, for example, to first responders before they even arrive on site.Â
IoT-based analytics platforms work only because they connect people with technology—without humans at the helm they’re of little value. Facilities managers who embrace the opportunity will make better decisions and, as a result, help their buildings (and themselves) remain competitive.Â
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