DUBAI, UAE, 31 October 2022: Smart, connected building systems with operational data collection and monitoring capabilities today accumulate an overwhelming amount of raw data, posing problems of data overload and challenges related to efficient analysis.

The ideal outcome expected with machine learning and data models is to optimise processes and water/energy consumption to create the best possible environmental conditions. However, clients are asking how the data will be processed and what is the ROI. Felipe Ruiz Guerrero, International Sales Manager, Engie Refrigeration, said, data is increasingly being used in the industrial processes to improve processes through machine learning and analytics.

“We already have the capability and technology to collect and implement data to automate and improve processes,” he said. “But the question is, what and how the data can benefit the customer when it comes to building management?”

Elaborating on the real benefit of data analytics, he said: “We are now logging data from several set points across HVAC systems, such as temperature, refrigerant pressure, flow rates, power consumption, as well as from the BMS systems, like floor occupancy, peak operating hours and more. But the real benefit for the customer or the building owner is that they can develop predictive maintenance strategies.”

Danish Subzawi

Danish Subzawi, General Manager, HMS Networks, said that with data, buildings can achieve greater efficiency and dramatically reduce their maintenance costs. Pointing to the new service model that is emerging in the industry, he said: “More broadly, accurate and timely data enables stakeholders at all levels to take smarter and safer preventative measures and adhere to stricter GHG accounting practices, making both your building and the planet a better place to live. With data becoming even more important for customers, they are demanding subscription service models to scrutinise data.”

In terms of economics, Guerrero said: “If you put the right predictive maintenance strategy in place, you will save your client money through improved reliability. The data collected from existing systems also help us recalibrate new equipment and commission projects remotely. In recent years, for example, I helped chiller control installation in Oman, Milan, Tehran and Korea sitting here in Germany.”