Building Technology Assessments

We review existing and new buildings to identify upgrade and migration opportunities. We also target functionality improvements to identify energy and operational inefficiencies ranging from better integration of systems to improved sequences of operations.

 

Fault Detection and Diagnostics FDD

FDD identifies anomalies in the performance of critical equipment such as boilers, chillers, motors, elevators, pumps, fans, etc. It translates those anomalies into real-world faults and delivers notifications to operators, detailing not only the root cause of an issue, but how to resolve the problem. More recently, predictive FDD technology can reduce and eliminate equipment downtime by advising the operator of potential issues triggered by current operating conditions.

Standard sets of rules have been developed by providers that include the most common rules for most building systems. Most FDD systems allow for the custom creation of rules specific or unique to a piece of equipment or system.

 

Building Analytics 

The analysis of building data, such as equipment status, meter information or other real time or offline facility management information, can be used to analyze the performance of a building. It can also provide the owner with KPI's, telling them how the facility is currently performing. Custom dashboards are key to provide data in a format that is easy to read and demonstrate. 

Building analytics data can be used to change behavior, provide feedback on potential improvements and in rare cases can provide feedback used to directly optimize building systems.

Such examples may be the analysis of building environments based on certain events that may occur without notice but could be detected by the analytics systems and provide information to other building system to take corrective action before they could otherwise react to the upcoming event. Doing so can prevent comfort issues and conserve energy by being able to control a space condition within the desired comfort range.