ENERGYai® identifies the most common usage patterns for a facility – when does the load “wake up” and “go to sleep”? When does it peak? Is there a weekend vs. weekday pattern? The office building shown here appears to have a typical profile.
But the ENERGYai® analysis points out that over 90% of Saturdays and Sundays saw a 12 hour increase in electric load, starting between 8am - 9am. This was unexpected, and led to a simple controls change which saves over $6,000 per year.
The electric use for this college campus rose steadily over a year. This "load creep" is often caused by new plug load (like computers and small refrigerators) or aging equipment like compressor motors which become less efficient over time.
The ENERGYai® analysis determined that load creep added 5% to the total annual electricity use for the college. Reducing the creep to a more typical rate would save almost $80,000 per year.
ENERGYai® finds demand spikes which occur at unusual times. The hourly electric use for a high school seen here is within the expected range until about 6pm on a Thursday. It appears that something was turned on, and left operating for 12 hours.
The analysis identified more than 100 spikes like this over the past year, and reported that most occurred during late evening and early morning hours. These added over $2,000 to the school's electric bill.
ENERGYai® determines how much energy use comes from equipment which is never turned off. This is often much larger than anticipated. ENERGYai® calculates the potential savings from reducing this continuous load.
63% of annual electricity use in this facility is from equipment running 24x7. A 10% reduction would save an estimated $56,000 per year.
Your client's facility may be closed on holidays, but is its load on holiday? ENERGYai® identifies days when the load shut down for most of the day. Electricity use for the industrial facility shown here dropped to the 24x7 level for three days starting on Thanksgiving.
Note the small bump in load on Friday morning following Thanksgiving. The analysis lists all "shutdown" days so you can see if the facility is still operating when its occupants are not.
And if you use interval data in your work now, let ENERGYai® extract additional value for your clients from a resource you already have.
What you get
ENERGYai® provides two options for incorporating interval data analytics into your offering.
The first is the Meter Insights report, a stand-alone analysis of 3-13 months of historic energy use rebranded with your logo. The report shows your clients how their facilities operate from their meter’s perspective, in clear, non-technical language. Click here to see a sample report.
The second option is a customized "data feed" of detailed ENERGYai® results to be imported into your existing analytic tools. This might include hourly end use breakouts, or weather correlation coefficients, or unusual use spikes. The data feeds can be "one time only" or recurring as needed.
Easy, cheap, fast
You don’t need any special software or hardware. Just upload your client's interval data and we send a report or data feed to you. There is no minimum quantity or start-up charge. You don’t need to reformat or clean data, ENERGYai® will work with any format available to you.
The interval data can come from anywhere – your client's utility, sub-meters, data recorders, energy management system, etc. It must contain energy consumption or average demand over hourly intervals or finer (e.g. 5, 15, 30, 60 minutes). Here is a list of utilities and other sources which provide this data.
While most analyses are for electricity, any energy commodity is acceptable including natural gas, steam, and chilled water. The Meter Insights report requires a minimum of 3 months of data, a full year is better.
Sign in to ENERGYai® and follow the on-line instructions to upload your data and order a report or feed. The results are delivered to you usually within a few hours of your order. Delivery is by email, FTP, SFTP, API, whichever works best for you.
The cost for a Meter Insights report is US$20. And if the report does not provide valuable insights about your client’s energy use, you get a full refund. Pricing for data feeds depend upon your specific requirements.
Privacy and security
In fact, you don't have to provide any identifying information about your client or their facility. Other than the energy use data, the only thing ENERGYai® needs to know is the first 3 characters of its zip or postal code (so we can select the nearest weather station).
Your client's meter data may contain identifying information, like an account number or street address. Some utilities include this, others don't. ENERGYai® does not store this information, and the data is archived off-line after the results are delivered.
You can talk to a real live person at 510-847-6103. We’re in California, so Pacific time zone business hours are best. Otherwise leave a message and we’ll get back to you asap. Or check out our Frequently Asked Questions section. Or email us at firstname.lastname@example.org.