PlantIQ

Utilities & Energy Intelligence

See utility cost in the context of what the plant produced.

Utilities and energy remain a high-value PlantIQ solution family, positioned as production-contextual operational intelligence, not a standalone energy product.

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Tariff-aware, production-normalized, and finance-verifiable, without guaranteed savings claims.

Utilities intensity · Plant overview

Illustrative example: sample data, not a customer result.

Problem

Utility spend is visible on invoices. Operating waste often is not.

Plants can see total electricity or gas cost and still struggle to answer which system, line, product, idle period, or peak pattern drove the waste.

Without production-normalized intensity, demand analysis, and system-level breakdowns, energy meetings stay generic and difficult for finance to verify.

Utilities intensity · Plant overview

Illustrative example: sample data, not a customer result.

Connect & model

What PlantIQ connects and models

PlantIQ preserves the strengths of production-normalized intensity, demand and peak analysis, tariff awareness, and finance-verifiable ROI framing.

It avoids guaranteed savings percentages and unsupported sustainability claims.

  • Electricity, gas, water, steam, compressed air, and refrigeration signals
  • Meters, sub-meters, and system-level allocations where available
  • Production output for intensity and normalization
  • Tariff structures, demand windows, and agreed baselines

Decision questions this solution answers

  1. 1

    Where and when is energy or utility consumption being wasted?

  2. 2

    What is the cost or consumption per unit produced?

  3. 3

    Which system drives peaks, base load, or efficiency drift?

  4. 4

    Did an operational change reduce intensity or peak exposure against baseline?

Core experiences

  • Consumption and cost by context

    Review utilities by site, system, area, line, product, shift, or batch where allocation is possible.

  • Energy intensity and baselines

    Normalize consumption against production so teams compare operating periods fairly.

  • Demand peaks and startup overlap

    Identify peak drivers and coincident loads that inflate demand charges.

  • System performance indicators

    Track refrigeration, boiler/steam, compressed air, water, and idle/base-load patterns.

  • Prioritized utility opportunities

    Surface anomalies and opportunities with evidence, not a generic opportunity list.

Illustrative example: utility intensity

Example workflow

  1. 1.Review electricity or gas normalized by product output for the selected period.
  2. 2.Compare intensity and peak overlap against an agreed baseline.
  3. 3.Inspect the system or line contributing the change.
  4. 4.Track the action taken and verify whether cost or intensity improved.

Correlation is presented carefully. PlantIQ helps teams investigate and verify; it does not treat every coincident signal as proven causation.

Data requirements and realistic limits

Required

  • Utility meter or equivalent consumption data for the systems in scope
  • Time-aligned production or output context for intensity views
  • Agreed baselines and, where used, tariff assumptions

Helpful

  • Sub-metering by line or major utility system
  • Refrigeration, boiler, compressed-air, and water system signals
  • Production schedules and idle windows

Limits

  • Allocation quality depends on metering topology and agreed rules.
  • No guaranteed savings percentages.
  • Emissions or sustainability claims are only appropriate when the customer supplies verified factors and methodology.

Guardrails

  • Not a utility billing system of record.
  • Not a controls system for boilers, chillers, or compressed-air networks.
  • Does not claim unsupported emissions reductions.

Business value and measurable KPIs

  • Energy or utility intensity versus baseline
  • Peak demand and coincident-load exposure
  • Idle/base-load contribution
  • System-level consumption and cost breakdowns
  • Verified change after operational actions

Personas

Outcomes by role

The same plant model, composed for the decisions each stakeholder owns.

  • Energy / utilities manager

    • See waste in operating context rather than invoice totals alone
    • Prioritize systems and periods that matter

  • Finance

    • Review measurable utility impact with declared assumptions
    • Validate whether actions changed cost or intensity

  • Plant manager

    • Connect utility cost to production reality
    • Decide which utility opportunities deserve attention first

Deployment path

  1. 1

    Choose one utility decision

    Start with intensity, peaks, refrigeration, or another high-value question.

  2. 2

    Connect meters and production context

    Integrate consumption signals and the output needed for normalization.

  3. 3

    Validate baselines

    Agree calculation logic and tariff assumptions with operations and finance.

  4. 4

    Expand systems

    Add steam, water, compressed air, or additional lines on the same model.

Related solutions

Expand on the same operational model

Next step

Start with Utilities & Energy Intelligence

Bring us the process, asset, utility system, or production loss that matters. We will assess available data and define a focused first deployment.

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