Interval metering data, weather station data

Visualization of gas consumption over three years (x-axis) through the 24 hours in a day (y-axis). Savings opportunity is indicated by excessive gas use at night, shown in orange and red on the left. Reduction of red to limited hours on the right shows that some waste has been eliminated. Regularly reviewing this visualization helps maintain the improvement over time. Aligned with the heat map data, and below it, a chart displays daily heating degree days and cooling degree days at the weather station associated with the selected meter.

Zone temperature data, systems analysis, patterns for augmented intelligence

Data visualization of zone temperatures compared to setpoint over a week (x-axis) by zone (y-axis) allows staff to identify and fix comfort problems and eliminate wasted energy. Furthermore, the visualization of data associated to all zones served by a selected air handler allows to identify meaningful system patterns (overcooling on the left and more balanced and comfortable operation on the right), and similarly allows to identify outliers at a glance.

Calculated data for analysis of zone reheat issues

Reheat gains on this chart are a calculated value using each zone’s reheat valve command (RHVC, %), the AHU’s supply air temperature (SAT, °F) and each zone’s discharge air temperature (DAT, °F). Gain is calculated as (DAT - SAT) / RHVC, and the resulting unit is ∆°F/%. A drop-down menu on the corresponding view allows to filter out values when the reheat valve is closed or only slightly open, in which case the chart displays a white block. Here the chart only shows values when RHV > 25%. Terminal units that consistently have low reheat gains, shown as horizontal blue bars on the chart, have a RHV stuck closed or a clogged reheat coil.

Campus-wide data display of selected measurement for all air handling units

Integration and tagging of over 300  air handlers across campus allows for the simultaneous display of selected measurements (here, the heating valve command) for all air handlers, regardless of what building management system they are controlled by. Other measurements include: status, fan speed, duct static pressure, economizer position, chilled water valve command.

Behavioral system optimization, fume hood sash heights

Correction of a fault does not need to be automated; visualization of some data can influence occupant behavior. Here, fume hood sash heights are calculated using fume hood exhaust airflow station measurements, fume hood face velocity measurements and fume hood equipment metadata (sash width). The visualization makes it obvious when a sash is left partially or fully open for a long time. Giving occupants access to this data can help them better manage their usage of fume hoods.