Measurement & Verification (M & V) is at the core of what it does, but the platform has evolved into something far more versatile, effective and capable.
The most robust real-time energy management platform. Hardware, software, and IoT capabilities in a compact, nimble, easy to install product.
An innovative phased approach that validates energy reduction and ROI impact at every stage of the deployment. Start small. Prove it. Scale.
Identify, prioritize, prove, track, and accurately report the impact of clean energy and waste reduction initiatives.
Use data and predictive analytics to more effectively manage and control machines and equipment.
Roll up the energy data from your building. Then view your facility’s energy footprint from top to bottom.
Use your own real-time energy data to ID high-impact energy waste reduction opportunities. Quickly and accurately project ROI to prioritize projects.
Does it work? Prove energy project ROI with your building and equipment’s real-time data before deploying at scale.
Extend the gains with end-to-end visibility and accountability. IoT enabled machine-level monitoring also delivers rich insights to impending equipment failures, improvement opportunities, and maintenance. Accurately measure and report savings, including carbon credits.
Simple. No big CapEx. Start small. Prove it. Extend it. Repeat.
What’s the process? →
Step 1 : A 15-min phone call. We can answer any top-level questions and see if a Zoom call to take a deeper dive makes sense.
Assuming it does, we’ll determine who should be on that meeting and set a time. We’ll review the technology, how customers use it to reduce cost and CO2 emissions, how it is typically deployed.
Step 2. Assuming that your team wants to know more about what a proof-of-concept looks like, the next step is for our electricians & technicians to visit the site, do a through walk through and GAP Analysis, and collect all of the information needed to compile a proposal for a pilot.
Goals: Film site during walk-thru. ID main incomers, HVAC circuits, main lighting, power equipment, and potential improvement opportunities. Collect all available data (e.g. power bills, other meter metrics if available).
Step 3. After analyzing the data collected on site, comparing it with legacy data-sets, and extrapolating ROI impact we are ready to present a GAP Analysis Report. A comprehensive proposal outlining a pilot, perhaps a small designed experiment to test the impact of, for example, HVAC efficiency upgrades, lighting retrofits, or solar panel installs.
With the data collected we will give you a number on Phase I energy savings potential. Ex. We can reduce energy waste by 16%. That goal also includes ROI analysis.
If you like what you’ll see we can wire the pilot. If we hit the number, we keep going. If not, we’ll pull the equipment at no cost.
Step 4. We’ll install per proposal, configure sample dashboards, and start collecting real-time data from the circuits selected to monitor.
After collecting baseline data, any energy projects being tested will be deployed. After collecting post-test data we’ll have proof of ROI from your own building’s data.
More importantly, you now have hard cost data on the project to make data-driven decisions about how to proceed.
Step 5. See impact at every level for any moment. Know whether or not your projects are profitable as they roll out. See results of green initiatives and report CO2 reduction metrics accurately. Keep scaling profitable initiatives. Sunset those that are not driving ongoing ROI.
But isn’t it kind of nice to know?
Repeat: Find another project, prove it, scale it if it works. Simple.
“Eniscope has saved us 38% of our costs, which is almost a 1-year payback.”
“The Eniscope system has given us an effective tool that delivers business insights and savings we have never had before.”
“Thanks to the capabilities of the Eniscope system, not only is more kHh available, but many other parameters including CO2, Ampers, Volts, Power Factor and more. This is hugely important in order to predict the engines behavior, energy supply peaks, and helping as a predictive maintenance tool.”
