ENERGYHUB · CONVERT WASTE INTO MARGIN

A bill is not a benchmark.

See what every facility and every system should cost, not just what it did.

EnergyHub models every facility and every system, so you know what next month’s bill should be, where the gap is coming from, and which upgrades are worth paying for. Energy stops being a number you brace for and becomes one you bring down.

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Waste converted into margin

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Every location, same baseline

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No engineering team needed

This month's forecastStore #114 · October$3,080Electricity$2,640Demand (included above)46 kW peakNatural gas$440vs facility model, YTD+5.1%$1,520 above modelSavings identified$12,460per year, 9 opportunities

Sample data for illustration. Figures are examples, not client results.

FACILITY ENERGY MODEL

Know what the bill should be before it arrives.

Act Hub builds a model of every facility that predicts electricity use, peak demand, and gas use, and the cost of each. It is built from the equipment on site, the weather, the hours the store runs, and the local utility rate, then calibrated against your own bills. When the bill comes in above the model, you know before anyone opens the invoice, and you know which systems are behind it.

  • Electricity, demand and gas, separately. kWh, peak kW, and therms each get their own forecast, because each is billed differently.
  • Predicted against actual, every month. The gap between the model and the bill is the number to manage, adjusted for weather and billing days.
  • It starts as your Energy Cost Baseline. The model begins in the sales process as your Energy Cost Baseline and becomes a live model once Act Hub Gear is installed.
Monthly energy cost, facility model vs. actualStore #114Facility modelActual, in lineActual, 5%+ over model$0.0k$1.5k$3.0k$4.5kJanFebMarAprMayJunJulAugSepOctNovDecJul: 9% above modelForecastYear to date vs. model+$1,520above modelvs last year−$2,110weather-normalizedAnnual forecast$40.4k$34.0k electric · $6.4k gas

Sample data for illustration. Figures are examples, not client results.

DIGITAL ENERGY TWINS

The facility model says the site is off. The twins say which system.

Under the facility model, every system gets its own digital energy twin: a weather-normalized model of what it should use. A refrigerant leak or a failing compressor shows up as a gap between expected and actual on that one unit, not as a mystery on next month’s bill.

Expected vs. Actual, Every System

See where consumption is drifting from what the model expects, before it shows up as waste.

Energy Scored for Each Location and System

Compare locations fairly, adjusted for weather and operating hours.

No Surprises, No Mysteries

Understand what’s driving the bill, down to the equipment.

Digital energy twins, expected vs. actualStore #114 · this week, kWhSYSTEMEXPECTEDACTUALGAPSTATUSRTU-1, kitchen410418+2%In lineRTU-2, dining380494+30%Dirty condenser coilWalk-in cooler260262+1%In lineWalk-in freezer310318+3%In lineExhaust and makeup air120151+26%Running past close

Sample data for illustration. Figures are examples, not client results.

The savings are already in your operating budget.

Pull waste out of the energy and R&M lines you already pay.

Get Started With Act Hub

ENERGY SAVING OPPORTUNITIES

Two kinds of savings. Both found in your data.

Some savings cost nothing but a change in how equipment runs, and they start the week the data starts. Others need an upgrade, and EnergyHub sizes each one for your site, so capital goes where the data says it will pay back fastest.

START DAY ONE · NO CAPITAL

Setpoints, setbacks, schedules and start-ups

Uncovered as the data flows and Act Hub learns how the store operates, each with a dollar value.

Overnight setback not active

OPERATIONAL

RTU-2 is conditioning the dining room from 11 PM to 5 AM with the store closed.

Estimated savings
$1,140 / yr

Setpoints wider than they need to be

OPERATIONAL

Walk-in cooler holding 33°F against a 36°F target; RTU-1 cooling to 68°F.

Estimated savings
$620 / yr

Schedules drifting from store hours

OPERATIONAL

Exhaust and makeup air running 70 minutes after close on 4 nights a week.

Estimated savings
$480 / yr

Start-up stacking

OPERATIONAL

Three rooftop units and two compressors start inside the same five minutes.

Estimated savings
$1,320 / yr in demand

LONG-TERM · UPGRADES THE DATA JUSTIFIES

Ranked by what pays back first

Every measure is sized from your site’s own equipment performance data.

Ranked and scored by ROIOverall savingsRebate availability#UPGRADEWHAT THE DATA SHOWSREBATESAVINGS / YRPAYBACKSCORE1Advanced rooftop controlsCan cut usage 40% to 60% for capable unitsRTU runtime, part-load operation andeconomizer behaviorUp to $3,000$4,7002.3 yrs912EC evaporator motorsWalk-in evaporator fans running full speedaround the clockUp to $400$9001.3 yrs903LED lighting upgradeLighting load and hours against fixture countUp to $800$1,1002.2 yrs834Ventilation EC motorsSupply and exhaust fans at constant speedthrough slow periodsUp to $500$7003.3 yrs725Demand-controlled kitchenventilationOptional layerHood runtime against actual cooking loadUp to $2,000$1,5005.0 yrs59No-capital savings identified$3,560 / yrUpgrade savings modeled, after rebatesare applied to cost$8,900 / yr
Ranked and scored by ROIOverall savingsRebate availability1Advanced rooftop controlsCan cut usage 40% to 60% for capableunitsRTU runtime, part-load operation andeconomizer behaviorREBATEUp to $3,000SAVINGS / YR$4,700PAYBACK2.3 yrsSCORE912EC evaporator motorsWalk-in evaporator fans running full speedaround the clockREBATEUp to $400SAVINGS / YR$900PAYBACK1.3 yrsSCORE903LED lighting upgradeLighting load and hours against fixture countREBATEUp to $800SAVINGS / YR$1,100PAYBACK2.2 yrsSCORE834Ventilation EC motorsSupply and exhaust fans at constant speedthrough slow periodsREBATEUp to $500SAVINGS / YR$700PAYBACK3.3 yrsSCORE725Demand-controlled kitchenventilationOptional layerHood runtime against actual cooking loadREBATEUp to $2,000SAVINGS / YR$1,500PAYBACK5.0 yrsSCORE59No-capital savingsidentified$3,560 / yrUpgrade savings modeled,after rebates are appliedto cost$8,900 / yr

Sample data for illustration. Figures are examples, not client results.

DEMAND CHARGES

See the demand charge coming, then stop it from forming.

A demand charge is set by the highest short interval of the month, not by total use. In most stores that peak is a few minutes in the morning when every rooftop unit brings on its second-stage compressor at once. EnergyHub uses high-frequency data to identify the load profile, flags the systems that peak together, and helps stagger start-up so the peak never forms. It costs nothing but timing.

Peak this month46 kW4 kW over target12-month high49 kWset by start-up, JulTarget42 kWwith staggered start
Daily load profile, kWStore #114 · weekdayAll systems start togetherStart-up staggered by EnergyHub02040Target 42 kW7:45 AM: stage 2 on all three RTUs comes on together49 kW sets the demand charge for the month12 AM6 AM12 PM6 PM12 AM

Sample data for illustration. Figures are examples, not client results.

FACILITY ENERGY KPIS

Every site measured the way a facilities leader measures it.

Each location gets the same energy KPIs, a score for every system, and a rank in the portfolio.

Energy KPIsStore #114 vs portfolioOvernight consumption118 kWh / nightLowNormalHighCooling setback ratio0.41LowNormalHighFacility EUI312 kBtu / sq ftLowNormalHighPeak demand46 kWLowNormalHighAvg. energy cost / day$110LowNormalHigh
Facility Energy ScoreComposite of HVAC, refrigeration, lighting andventilation, weighted by each system's shareof energy use82Energy score by systemHVAC79Refrigeration90Lighting74Ventilation82Store #114 portfolio rankBest 94 · Portfolio average 78 · Lowest 6112 of 6482nd percentile

Sample data for illustration. Figures are examples, not client results.

WHAT CHANGES ON THE ENERGY LINE

Convert Waste into Margin

The savings are already in your operating budget. EnergyHub turns the energy line from a cost you absorb into a number you bring down. Comparable operators see 10 to 30% energy savings.

Energy

Energy waste gets a name and a location instead of hiding in the total.

Demand

Demand charges become something you can see coming, not just pay.

Automation

Set points and schedules run themselves instead of drifting.

Control

The energy line moves from a bill you brace for to a number you manage.

Savings

Long-term savings opportunities are ranked and scored by ROI, estimated investment, overall savings, and rebate availability.

WORKFLOW FLOW

Four steps from raw data to action.

How EnergyHub turns unstructured equipment performance data into closed-loop equipment automations.

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Stage 01: Continuous Monitoring

Consumption and equipment performance data arrive at high frequency, alongside weather, schedule, and utility bills.

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Stage 02: Model

EnergyHub builds a model of every facility and a digital energy twin for every system.

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Stage 03: Analyze

Know when, where, and how to act to avoid unnecessary energy expenses, and use the recommended actions to set a deeper savings strategy.

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Stage 04: Actuate

Automate and optimize where approved, route a MaintenanceHub work order, or add the upgrade to the ranked opportunities list.
ENTERPRISE OPERATIONS

Built for teams that need every dollar of margin.

Secure by design, with no rip-and-replace deployments.

Works With What You Run

Connects natively to the building automation and metering you already have.

Secure By Design

Act Hub runs on a virtual, private cellular connection, separate from facility IT and OT networks.

Advisory or Automated

Choose recommendations you approve, or let the platform act within limits you set.

Weather Normalized

Benchmarks stay fair across seasons and climates.

Built for Distributed Portfolios

Standardized across every location, however many you run.

High Platform Reliability

Built to be there when your team needs it.

ENERGYMGR

Ask EnergyMGR.

EnergyMGR is the Virtual Manager inside EnergyHub. Ask about any bill, store, or system in plain language and get an answer drawn from your facility energy model, your digital energy twins, and your own equipment performance data. It keeps the context of where you are, so you never have to name the store you’re looking at.

ForeSight365 watchesEvery system against its twin.
EnergyMGR answersWhere the dollars went, and why.
You decideWhat to fix first.
EnergyMGRViewing: Store #114 · JulyWhy was last month's bill higher thanthe model?THE GAPJuly came in 9% above the facility model, about $340, afteradjusting for weather and billing days.WHERE IT WENTTwo systems account for most of it. RTU-2 in the dining roomused 30% more than its digital energy twin, consistent with adirty condenser coil. The exhaust and makeup air fans ran pastclose on 4 nights a week.WHAT TO DOClean the RTU-2 condenser coil, and reset the exhaust fanschedule to store hours. Together they bring the store back inline with the model.RTU-2 · Condenser coil cleaningCreated automatically with energy data attachedHIGHAssignedWhich systems are running when the storeis closed?THE GAPOvernight the store draws 118 kWh a night, well above where itshould sit after close.WHAT IS RUNNINGRTU-2 is still conditioning the dining room from 11 PM to 5 AM,and the exhaust and makeup air fans run about 70 minutes pastclose on 4 nights a week.WHAT TO DOTurn on the overnight setback for RTU-2 and reset the exhaustfan schedule to store hours. Together they are worth about$1,620 a year.Overnight setback and fan scheduleAdded to your no-capital savingsWhen does demand peak, and what'scausing it?WHEN IT PEAKSWeekdays around 7:45 AM. This month's peak was 46 kW, 4 kW overthe 42 kW target, and July's 49 kW set the highest demand chargeof the year.WHAT IS CAUSING ITStage 2 on all three rooftop units comes on together as thestore warms up for opening.WHAT TO DOStagger the start-up so the units come on a few minutes apart.It costs nothing but timing, and it is worth about $1,320 a yearin demand.Start-up stackingAdded to your no-capital savingsWhich upgrade pays back fastest here?FASTEST PAYBACKEC evaporator motors, at 1.3 years. About $900 a year insavings, with a rebate of up to $400.BIGGEST SAVINGSAdvanced rooftop controls, about $4,700 a year with a 2.3-yearpayback and a rebate of up to $3,000.WHAT TO DOStart with the EC motors, then plan the rooftop controls.Together they account for $5,600 of the $8,900 a year modeledfor this store.Upgrade ranking5 upgrades ranked by ROI, savings, and rebateWhat did the setback change save lastmonth?WHERE IT STANDSThe overnight setback on RTU-2 has not been turned on yet, sothere is nothing to measure for July. The dining room is stillbeing conditioned from 11 PM to 5 AM.WHAT IT IS WORTHOnce it is on, EnergyMGR tracks the result against the facilitymodel. The estimate is about $95 a month, or $1,140 a year.WHAT TO DOTurn on the setback for RTU-2, and check the result against themodel next month.RTU-2 · Overnight setbackTracked against the facility model once it is onAsk EnergyMGR about any bill, store, or system

Sample data for illustration. Figures are examples, not client results.

COMMON QUESTIONS

What teams want to know.

What is a digital energy twin?

A digital energy twin is a weather-normalized model of how much energy a system should use under current conditions and operating hours. Comparing actual consumption to the twin normalizes for billing days, weather, and hours of operation, so waste shows up as the gap between what a system should have used and what it did. A utility bill alone cannot reveal that gap, because a bill is not a benchmark.

What is an Energy Cost Baseline?

An Energy Cost Baseline is Actuate’s bottom-up estimate of a facility’s energy spend, built from store size, the typical equipment package, energy intensity by category, and the local utility rate, including demand charges where the bill carries them. When an operator shares real utility bills, Actuate turns the baseline into a portfolio-wide ROI model. Like the Maintenance Cost Baseline, it replaces a “look at last year’s bills” guess with a real, forward-looking number by site, and it is a standard step in Actuate’s sales process.

Why can’t we just compare utility bills between stores?

Because the bills are not comparable as issued. Two stores can differ by billing period length, by weather, and by hours of operation, and any one of those can move a bill further than the waste you are hunting. A digital energy twin removes those differences by modeling what each system should have used under the conditions it actually ran in, so the gap between modeled and actual is real waste rather than an artifact of the calendar. A bill is not a benchmark.

What are demand charges, and can they be reduced?

A demand charge bills you for your highest short interval of consumption in the period, not for total usage, so a few minutes when several large systems start together can set a cost that stands for the whole month. Because it is driven by coincidence rather than volume, it responds to sequencing: EnergyHub sees the high-frequency load profile, identifies which systems are peaking together, and staggers them so the peak never forms. Reducing a demand charge often costs nothing but timing.

How does EnergyHub find energy waste?

By comparing each system against its own digital energy twin every minute rather than against a fixed threshold. Waste appears as a widening gap: a freezer drawing above its modeled baseline, a rooftop unit running when the store is closed, a system whose consumption climbs while its output stays flat. Because the comparison is per system rather than per bill, the answer names the unit rather than the site.

How much can we save on energy?

Comparable operators see energy savings in the range of 10 to 30%, and the first tranche generally comes from sequencing and scheduling rather than from capital equipment: systems running when nothing needs them, and peaks that form because nothing coordinates a start. An Energy Cost Baseline sizes the opportunity per site before anything is installed, so the number is modeled from your equipment package and utility rate rather than assumed.

Do we need to buy new equipment to save energy?

Not for the first savings. Sequencing, scheduling and correcting systems that are running out of spec require no capital at all, and they are usually where the largest early gap sits. Where equipment measures do make sense, such as advanced rooftop controls, evaporator-motor upgrades, adaptive defrost and variable frequency drives, the economics depend on local rates and utility rebate programs, which is why EnergyHub models them per site rather than recommending them across a portfolio.

What is the difference between energy monitoring and energy management?

Monitoring records what was consumed. Management changes what gets consumed. The distinction matters because a record of waste does not reduce it: someone has to decide what to adjust, and at portfolio scale nobody has time to work that out per site. EnergyHub models what each system should use, identifies where the gap is, and acts on schedules and sequencing so consumption moves rather than just being reported.

How does EnergyHub predict a facility's energy cost?

EnergyHub builds a model of each facility from the equipment on site, the weather, the hours the store operates, and the local utility rate, and it calibrates that model against the facility’s own utility bills. The model forecasts electricity use, peak demand, and gas use separately, along with the cost of each, because each is billed differently. When an actual bill comes in above the model, the gap is real waste rather than weather or billing days, and the digital energy twins under the model show which systems are responsible.

What energy saving opportunities does EnergyHub identify?

Two kinds. The first needs no capital: setpoints running wider than needed, overnight and weekend setbacks that are not active, schedules that have drifted from store hours, and start-ups that stack several large systems into one demand peak. These opportunities are uncovered as the data starts to flow and Act Hub learns how the store and its systems operate, and each one comes with a dollar value. The second is equipment upgrades the data justifies, such as advanced rooftop controls, EC evaporator motors, ventilation EC motors, LED lighting, and, as an optional layer, demand-controlled kitchen ventilation. Advanced rooftop controls can cut usage 40% to 60% for capable units.

How are equipment upgrades sized and ranked?

Each upgrade is modeled for the specific site from its own equipment performance data, its utility rate, and the rebate programs available in its territory. EnergyHub then ranks and scores the upgrades by ROI, estimated investment, overall savings, and rebate availability, so capital goes first to the measures that pay back fastest at that location rather than being applied the same way across a portfolio.

What is EnergyMGR?

EnergyMGR is the Virtual Manager inside EnergyHub. Ask it about your energy in plain language, such as why a bill came in above the model or which systems run when a store is closed, and get an answer drawn from your facility energy model, your digital energy twins, and your own equipment performance data. EnergyMGR keeps track of where you are in EnergyHub, so a question asked while viewing a store is answered for that store.

TAKE CONTROL OF YOUR ENERGY LINE

Ready to see your digital energy twin?

See where EnergyHub finds waste across your portfolio, and what your first week of data looks like.

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30-min walkthrough

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Energy waste, made visible

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No engineering team needed