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    ROI Calculator

    AI Energy Optimization ROI Calculator

    Quantify utility-bill savings and CO2 reduction from AI-driven optimization of plant utilities.

    AI

    Quick Answer

    This calculator estimates annual savings from AI optimisation of plant utilities such as HVAC, compressed air, chillers and boilers, using your own energy spend and a reduction percentage you set. The default reduction is a planning assumption, not a measured outcome; achievable savings depend on existing control maturity, metering coverage and load variability.

    Inputs

    Your Numbers

    Results

    Illustrative Annual Value

    kWh avoided per year3,000,000
    CO2 avoided per year (tonnes)2,100
    Estimated annual savings$500,000

    Illustrative estimate only — not a quote, forecast, guarantee or verified customer outcome. Replace every default and assumption with your own approved baseline before making an investment decision.

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    For a decision-grade business case, replace the assumptions with approved operating and cost data.

    Assumptions

    How This Illustrative Estimate Is Calculated

    • • Savings range assumes good historian/BMS/SCADA data quality and at least 6 months of operating history for the model to learn baseline behavior.
    • • Default emission factor of 0.7 kg CO2/kWh is a typical Indian grid average. Adjust for your region or specific PPA mix.
    • • Higher reductions (15 percent plus) are achievable when AI is paired with control-loop tuning and operator-incentive changes.

    Direct answers

    Before you rely on this number

    Will this work if we already have a BMS or SCADA?

    Usually yes, and it is easier. Existing control systems provide the metering history and the actuation path. The gain comes from optimising setpoints against actual load, weather and tariff conditions rather than fixed schedules — but savings are smaller where control is already well tuned.

    What metering coverage is the minimum?

    Sub-metering at the utility level — compressed air, chillers, HVAC, boilers — rather than a single incoming meter. Without it you can detect that consumption changed but not attribute it, which makes both optimisation and verification unreliable.

    How do we verify the savings are real?

    Agree a measurement and verification method before deployment, with a weather-normalised and production-normalised baseline. Energy use moves with output and ambient conditions, so an unadjusted before-and-after comparison will over- or under-state the effect depending on the season you measure in.

    Does the CO2 figure count as a reportable reduction?

    Only if the emissions factor and boundary match your reporting framework. This calculator applies a single grid factor for illustration. Scope 2 reporting normally requires a location- or market-based factor for your specific grid and contracts, which your sustainability team should supply.

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