Our Challenge

A private research university in New York State was looking for ways to optimize the performance of 3 of their buildings. The client hired CopperTree to perform Fault Detection and Diagnosis (FDD) in a hope to reduce energy consumption and to improve maintenance approaches.

To perform our analysis, a connector was installed to initiate data flow into Kaizen from the existing building systems. Once points of interest were discovered, data was grouped and tagged with a robust ontology. Analysis was then performed on the data, then insights and reports were generated based on the findings.

Some of the notable issues found were the following:

1. Chilled water system supply temperature and differential pressure were found out of setpoint.
2. Chilled water pump speeds were excessively changing.
3. Heat wheel was running at full speed with minimal energy transfer
4. Upon further investigation, it was also found that heating occurs in some VAVs when the airflow is at its minimum setting, wasting reheat energy.