The Swig Company Uses Energy and Bill Analytics to Refine BMS Scheduling and Receive a Utility Credit for $12,000
Within the first month of service, a proactive building engineer remotely corrected the holiday scheduling in this building’s limited BMS and the property management team submitted a billing error claim with the electric utility.
|Industry||Commercial Real Estate|
|Challenges||A limited BMS in a fully leased building with varying tenant uses and a remote engineering and management team make it difficult to fine-tune operations without easy-to-use data analytics.|
|Solution||Automated load curve monitoring makes it easy to spot changes in holiday operations, and utility bill analytics–which include variance and rate analysis–highlight possible bill credit claims.|
Gridium’s software for cloud-based smart meter data analytics does not require any hardware or software to be installed onsite. This made it easy to launch a free trial and immediately identify holiday scheduling drift and an 18-month old billing error.
Categorizing unexpected shifts in this building’s load curve draws on advanced machine learning algorithms and big data analytics. Fortunately for this building’s Chief Engineer, the results are available with the click of a button. Quantifying the causes of monthly bill variance is just as easy. During the initial review of the data, Gridium helped The Swig Company property management team spot an unexpected rate variance, identify a suspicious peak demand charge, and submit a bill error claim with the utility. Within a matter of weeks, the building was granted a credit of $12,000.
We aim to provide top-notch operating environments for all of our tenants in all of our buildings, and we don’t let remote management and engineering get in the way of that goal. Gridium’s analytics and support is a real help, and the billing credit is just one example!