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Our Challenge

A major non-profit organization that aims to advance policies for human civic, social, and economic conditions in areas of the Southern United States engaged with a commissioning company to provide new construction commissioning in one of their new buildings in Texas. CopperTree’s partner, the commissioning firm, used our Kaizen analytics platform to assist with their commissioning work.

Our Solution

CopperTree’s FDD platform was used to analyze the operation of the building’s ventilation and hydronic systems. It was observed that 37 Fan Powered Terminal Units (FPTU) had their Supply Air Temperatures deviating from their setpoint by over 10°F. It was also found that some FPTU fans operated at 100% speed during the entire duration of their operation. Additionally, some CO2 sensors for FPTUs and TUs were found miscalibrated – all were reading approximately negative 400ppm to 500ppm. Finally, when compared to other weather trends in the area, all outdoor air temperature sensors were reading 10°F to 20°F above the observed weather trends.  

 

CopperTree recommended the client investigate why some discharge air temperature setpoints were manually set. A review of fan speed controls was performed by the client to ensure that fans aren’t operating above the required speeds. 

 

Finally, checking and recalibrating the CO2 sensors and outdoor air temperature sensors were easy fixes to sensor related issues. 

The Results

CopperTree’s findings resulted in an annual savings of 94,500 kWh in energy, translating to approximately $8,502 in yearly energy bill reductions. Calibrating the CO2 sensors and OAT sensors also led to a more comfortable experience for the building’s occupants, as well as reduced wear and tear on the building’s mechanical equipment.

 

Click here to download a PDF copy of this case study: CopperTree Case Study: CopperTree Analytics Case Study – Kaizen FDD for New Construction Commissioning

 

Click here to watch a video of this case study: Kaizen FDD For New Construction Commissioning