Use the “power” of high interval energy data to find facility operational and equipment issues much like a doctor uses MRI equipment to diagnose a patient.
The Agilis Approach is quick, dynamic, non-invasive and highlights key issues. While the traditional approach uses monthly data, Agilis uses 3,000 times more data to understand and evaluate building performance.
Quickly and easily identify building issues through the use of 3D (time vs. date vs. kW) pattern recognition and gradient colors. Rotate, zoom, highlight and compare different dates, days of week, times and seasons using Agilis’ dynamic interface. Change coloring to represent intraday temperatures, demand, occupancy or even manufacturing production rates.
When changes are made, the “visual” impact is clear and easily communicated to staff and management.
Discipline of operations is key to running a “tight” building where comfort and functionality are met without using more energy than required. Each building is different and by benchmarking the building “against itself,” defined and consistent schedules and equipment configurations can be set.
Gradient colors are used to show differences in demand, but also highlight areas of inconsistency (e.g. overnight periods). Temperature (degree day) color band on left side shows days warmer or colder than others.
By grouping similar days of the week and coloring to represent colder and warmer days, patterns can be discovered that highlight performance issues as well as desirable configurations to replicate. Responsiveness to outside air temperatures can be determined through the concentrations of days of similar color (degree days).
Dynamic features allow for degree day coloring (warmer: red, colder: blue, moderate: green) to be adjusted to discover outlier performance.
For most buildings, outside environment conditions have a major impact on how the building must run in order to ensure proper comfort. Temperature, humidity, solar intensity and wind can all influence the effectiveness of the HVAC system and consequently the amount of energy consumed.
Agilis collects and evaluates the building up against a range of outside conditions including all those mentioned above to determine the most significant drivers to heavy and frequently highly variable energy use. With this deep understanding the cause and effect of suboptimal performance can be determined and solutions employed. Unique operational strategies for the different seasons are created.
Measuring performance across similar days and conditions is critical to determining if savings have been achieved. The Agilis system allows for these comparisons, creates “best fit” trend lines and then quantifies the energy and $ savings. Trend lines then become the new “baseline” performance and can be used in real time monitoring systems to track and alert.
While Agilis compares the building “against itself,” often the days of “best” performance can be improved upon. “What If” Cost Savings allow for new profiles (e.g. operational or equipment improvements) to be developed and evaluated against historic performance.
If you have a large number of facilities, allow Agilis to perform its portfolio analysis to determine which buildings have the greatest potential for near terms savings.
Agilis can quickly process very large portfolio for owners, cities, school districts and/or utilities. Facility performance across a range of key measures is displayed in dynamic, geospatial environment. Key elements (e.g. 3D Load Profiles) are displayed or popup to allow for discussion on the prioritization of opportunities. Dynamic heat maps are generated to show relationships between assets.