Solar panels on industrial warehouse roofs

INDUSTRYNORTH / Industrial rooftop solar

Make rooftop generation work for your factory.

Connect panel performance to production schedules and electricity costs. See where your solar investment can deliver more useful energy.

REAL OPERATIONS · LICENSED ILLUSTRATIVE FOOTAGECredits ↗

01 / THE CORE PACKAGE

A clear foundation. Value you can assess.

Start with the assets and data that matter. We agree on scope and success criteria before building.

INCLUDED WITHIN THE AGREED SCOPE

Industrial rooftop solar
Core analytics

  • 01Weather-adjusted PV performance
  • 02Generation and factory-load matching
  • 03Self-consumption, imports and exports
  • 04Electricity-cost analysis with your tariff

Data assessment, model validation, and delivery into your tools: Power BI, Tableau, custom applications or CMMS.

Extend where it makes sense.

Optional modules selected for value and data readiness.

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Load and solar forecasting

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Production-schedule scenarios

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Battery sizing and operating scenarios

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Bill reconciliation and explanation

Data and technical scope

PV production, interval import/export meters, factory load, weather, production calendar and applicable tariff. Match the utility billing interval and site time zone.

Exported energy and avoided imports can have different values. Demand-charge savings require coincident peak analysis; solar generation alone does not establish them.

02 / WHAT A FINDING LOOKS LIKE

Match solar to the working day

67% of this example day’s solar generation is used on site. The midday surplus arrives outside the highest factory demand.

ILLUSTRATIVE EXAMPLE · NOT A CLIENT RESULT
Generation and factory demand do not peak togetherILLUSTRATIVE DATA
Generation and factory demand do not peak together089.6179.2268.8358.4kW06:0012:0018:00Time
PV generationFactory demand
18:00 · PV generation: 0 kW · Factory demand: 110 kW

One-hour synthetic intervals. This example estimates energy use, not utility demand-charge savings.

View the data
TimePV generation (kW)Factory demand (kW)
06:00090
07:0020100
08:0070110
09:00140130
10:00220140
11:00290145
12:00320150
13:00300160
14:00240170
15:00170170
16:0090150
17:0030130
18:000110
Where the generated energy goesILLUSTRATIVE DATA
Where the generated energy goes0529.21,058.41,587.62,116.8kWhPVFactoryExportEnergy allocation
Generation referenceAllocation
Export · Generation reference: 0 kWh · Allocation: 615 kWh

Example assumptions: avoided imports $0.15/kWh, exports $0.05/kWh, USD. Fixed and demand charges excluded.

View the data
Energy allocationGeneration reference (kWh)Allocation (kWh)
PV1,8901,890
Factory1,8901,275
Export0615

03 / FROM EVIDENCE TO DECISION

Watch the AI workflow unfold.

Explore each stage. See the sources, the proposal, and the point where your team decides.

OPERATIONS INTELLIGENCESIMULATION
YOUR DATA. YOUR TEAM IN CONTROL.
ROOF-02

Match solar to the working day

67%sample solar self-consumption
01

A signal worth investigating.

67% of this example day’s solar generation is used on site. The midday surplus arrives outside the highest factory demand.

Generation and factory demand do not peak togetherILLUSTRATIVE DATA
Generation and factory demand do not peak together089.6179.2268.8358.4kW06:0012:0018:00Time
PV generationFactory demand
18:00 · PV generation: 0 kW · Factory demand: 110 kW

One-hour synthetic intervals. This example estimates energy use, not utility demand-charge savings.

0:00 / 0:40

Illustrative data · sample documents · simulated workflow. These are not client results.

Read the complete story

Match solar to the working day

67% of this example day’s solar generation is used on site. The midday surplus arrives outside the highest factory demand.

The example exports 615 kWh [1]. At the sample energy rates [2], on-site consumption is worth USD 191.25 and exports USD 30.75. Test schedule flexibility before assuming savings.

  1. Confirm tariff and interval-meter alignment
  2. Compare a feasible production-schedule scenario
  3. Review operational constraints with the plant manager

A quantified schedule scenario is ready for operational review.

Explore all 10 AI workflows ↗

04 / MANAGED ANALYTICS

A useful model needs care.

Equipment changes. Sensors drift. Operations evolve. We keep models aligned with that reality.

See model care in action ↗
  1. 01Monitor data quality and model drift
  2. 02Investigate changes before retraining
  3. 03Validate on held-out periods and known events
  4. 04Review versions, deployment and rollback
  5. 05Incorporate engineering feedback