Sink or Swim: How to manage the Big Data Flood
The Internet of Things (IoT) is constantly in the news. That’s understandable since forecasts anticipate that there will soon be tens of billions of connected devices, helping the IoT sector to generate more than £7.5 trillion worth of economic activity worldwide. In fact, according to McKinsey Global, the IoT economic impact on factories, retail settings, work sites, offices and homes could total as much as £3.55 trillion by 2025.
One area where the IoT is driving development is in smart buildings. Today’s more complex buildings are generating vast quantities of data, but building management systems (BMS) are not leveraging that data as much as they could, and are not always capturing the right data to make useful decisions. With 42 per cent of the world’s energy consumed by buildings, facility managers face escalating demand for environmentally friendly, high-performance buildings that are efficient and sustainable. The data collected can help them to achieve this.
However, many facility managers lack the time and resources to investigate the convenient methods that can help them to turn the flood of IoT and other sensor data they’re exposed to, into actionable insights.
Forced to do more with less
Reduced budgets force building owners to manage sophisticated building systems with fewer resources. This issue is further aggravated by older systems becoming inefficient over time. Even when there is sufficient budget, it is increasingly difficult and time-consuming to hire, develop, and retain staff with the skills and knowledge to take advantage of BMS capabilities.
Facility managers also face challenges maintaining existing equipment performance. Components can break or fall out of calibration, and general wear and tear often leads to a marked decline in a building’s operational efficiency. Changes in building use and occupancy can contribute to indoor air-quality problems, uncomfortable environments, and higher overall energy costs. These changes begin immediately after construction is complete.
Owners often undertake recommissioning projects to fine-tune their buildings. Such work is intended to bring the facility back to its best possible operation level. However, recommissioning is often done as a reactive measure, and traditional maintenance may not identify all areas of energy waste. Operational inefficiencies that are not obvious, or that do not result in occupant discomfort, may go undetected.
Upskilling the current workforce
Many tools have come onto the market over the past decade to help employees get a better understanding of their facilities and assist them in their day-to-day operations and long-term planning. This can include anything from dashboards and automated analytics platforms to machine-learning optimisation engines. However, much like the sophisticated BMS platforms available today, for each tool you deploy, more investment is needed in time for training. In fact, research shows that lacking training is evident with roughly only 20 per cent of facility managers using 80 per cent of capabilities available to them within their BMS. The remaining 80 per cent use a very limited amount (20 per cent) of the potential functionality in their system.
With personnel turnover and competing facility-management responsibilities, many facilities are left without staff who have the time to learn the full capabilities of these tools. Of course, outsourcing different functions is one way to overcome these issues. However, vendors must be managed closely to ensure efficacy, and to ensure that outsourcing costs do not accrue significantly as third parties spend more time on-site.
In tech we trust
Technology has become an important part of building management, as BMS play an ever bigger role in how facility managers perform their jobs and operate buildings. Newer technologies like data visualisation dashboards let facility managers view building performance metrics in a single window, helping them to spot trends and gather insights. By visualising data in terms of graphs, charts, and conversion to different equivalents – for example, kWh to pound cost or kWh to carbon footprint, an experienced building operator can manually identify areas of concern for closer inspection.
Yet, while dashboards can be helpful in determining building behaviour, the data is often complex and challenging to interpret. In fact, even if building staff have the time and skills to review and understand the data, dashboard information alone tells only part of the building performance story. Facility managers can identify where inefficiencies exist but usually not why. This requires additional troubleshooting and investigation. Therefore, dashboards are most effective for simple monitoring in environments where there are plenty of trained staff to perform troubleshooting and identify the root causes of issues.
Analytics is the answer
To gain more from a BMS deployment, many facility managers are turning to data analytics software to interpret large volumes of BMS data. Best-in-class software automatically trends energy and equipment use, identifies faults, provides root-cause analysis, and prioritises opportunities for improvement based on cost, comfort and maintenance impact. This software complements BMS dashboards because it takes the additional step of interpreting the data – showing not just where but why inefficiencies occur. Engineers can then convert this intelligence into “actionable information” for troubleshooting and preventative maintenance, as well as for solving more complicated operational challenges.
Using this software, facility managers can proactively optimise and commission building operations more effectively than with a BMS alone. It enables them to understand why a building is or isn’t operating efficiently so that they can introduce permanent solutions rather than temporary fixes. For instance, with data analytics, facility managers can proactively identify operational problems such as equipment that needs to be repaired or replaced. Moreover, it can do this before critical failure and before it has an impact on the building occupants. Repairs can be scheduled before an emergency arises, eliminating costly short-notice or out-of-hours replacement and avoiding failure and downtime. With this proactive approach, equipment becomes more reliable, the cost of replacement and repair can be much lower, and occupants are assured of optimal comfort. In fact, by following best practice, they can even reduce HVAC energy costs by up to 30%.
Smart, connected technology has taken us beyond the human ability to manage what can amount to hundreds of thousands of data points in large buildings. Efficient operations require a proactive response. Analytics solutions effectively manage the new state of information overload created by a digital world and filter out what’s not valuable to you. For example, they can provide insight on how to fix problems when they are first observed, before total failure. This predictive maintenance approach means capital assets can be preserved and significant energy savings can be made. The advent of IoT means that we must shift our approach to facility management in order to deliver against the financial, wellbeing and sustainability targets of today’s facilities. By investing in a sophisticated BMS, users can uncover which data to ignore and which to act upon. After all, data for data’s sake is useless. Being able to use a building’s performance data to augment operational efficiency, increase occupant comfort, and improve overall energy consumption so that the financial well-being of buildings can be sustained, is of paramount importance.
Rachel Cooper, Category Marketing Manager – field services with Schneider Electric
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