The word “smart” is now applied to everyday objects: smartphones, smart TVs, smart appliances — and even, smart buildings.
But the idea of the smart building is still new. There is no accepted definition yet, but one of the best examples that illustrates the concept is occupant-centric control (OCC). This involves using data gathered from occupants, the indoor environment and the outdoor climate to optimize occupant comfort and control and energy efficiency.
The building’s critical functions — lighting, heating, AC, window blinds and so on — would be run by a control system that learns information like room occupancy patterns, light use and temperature adjustment. For buildings with dozens or hundreds of occupants, this can have wide-ranging effects on overall energy costs.
While the concept of the smart building is exciting to architects and engineers, it has not yet been widely seen in a real building. There has been research, experimentation and simulations, but overall the implementation of the OCC principle has been unfocused and inconsistent.
One assistant professor in Department of Building, Civil and Environmental Engineering at the Gina Cody School of Engineering and Computer Science, Mohamed Ouf has looked at case studies in existing OCC research and analyzed the path forward.
“We scanned the literature for relevant work that has been done on this topic and analyzed its different attributes in detail,” says Ouf. “We realized that very few researchers have been able to actually implement these control approaches in real buildings for many logistical reasons.”
Building up the field’s foundation
Ouf and his colleagues point out that research in the field of OCC is still relatively scarce. They identified 120 publications on the topic but only 42 studies included field implementation. Most are conceptual studies or simulations. All of them skewed toward North American or European standards and toward academic or office buildings.
The researchers further identified several challenges facing OCC implementation based on their review of the existing research.
The field’s newness means there is still no agreed-upon definition of what the term even means. Does the control approach prioritize occupancy patterns? Or does it focus on occupant behavior and their interactions with building systems? How much physical control should an occupant have in an automated building? Which metrics — comfort or energy efficiency — are prioritized, if either?
Second, OCC’s reliance on data means serious technological and privacy issues need to be addressed. The current research largely avoids studies of interconnection between different indoor environments, so a whole-building approach, which will be needed as the field advances, will require significant networking and software development. As well, steps must be taken to ensure occupants’ data information is secure.
Given all these avenues of further study, Ouf says he is optimistic about OCC’s future.
“This whole niche of occupant-centric controls is still very new and provides exciting opportunities to combine advancements in data science and artificial intelligence with building engineering,” he says.
“Luckily, I’m currently establishing a lab at Concordia to implement and experiment with OCC in a real building environment. We will have four offices that are heavily instrumentalized with sensors and actuators to analyze occupant comfort and interactions with building systems. We will also develop new control algorithms with the goal of improving energy efficiency as well as comfort.”
Story via University of Concordia.
