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Use Case 3: A technician is responding to a temperature complaint from an occupant. He shows up at the occupant’s office and uses his smart phone to quickly determine that the space temperature is indeed high. He walks down a hallway from the office using his phone to “see” temperatures, pressures, and flows in the ductwork by periodically pointing his phone at the wall or ceiling, noting higher than normal temperatures along the way. He soon traces a path to a chiller unit. He “looks” at the chiller through his phone (see Figure 68), and decides it is working normally. He inspects other temperatures and flows in the vicinity and suspects that a specific economizer damper has stuck open. He taps the screen to put the damper in hand, verifying that it is stuck. Another tap on the GUI brings up a list of parts, tools, and instructions he needs to make a repair. He was able to quickly diagnose the problem by himself, even though the BAS terminal was located far from the problem area and the points he effectively checked were scattered throughout the terminal’s database. Figure 68. Mockup of augmented reality use case for chiller diagnostic (Source: NREL) Applicable DOD Market: All commercial DOD buildings with operational BAS systems. This type of control has the potential to revolutionize the way building operators evaluate the operation of building systems, identify system faults, identify maintenance tasks, and retro-commission buildings. The easy-to-use and understand platform has the potential to save hundreds of hundreds of thousands of dollars a year at all military bases throughout the country. Energy Savings Potential: Identification of self-correctable HVAC system faults showing potential for savings of at least 15% of HVAC unit/system energy consumption Potential Commercialization Date: Unknown 179PDF Image | 4th Annual Chena Renewable Energy Fair
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