Industries · IPPs, hybrid park operators, O&M providers

predictive maintenance for renewable fleets

Alarm floods without foresight; performance loss hidden in averages; BESS thermal and state-of-health risk.

25%less downtime with fleet predictive maintenance

up to 5 yrasset life extension

≥ 70%anomaly precision target confirmed by O&M

02 · IPPs, hybrid park operators, O&M providers

Wind, solar & storage

Alarm floods without foresight; performance loss hidden in averages; BESS thermal and state-of-health risk.

Modules

Fleet Health3D Site TwinInsights & ROIWork OrdersPlayback

Equipment classes

WindTurbinePhotovoltaicUnitBatteryUnitPowerTransformerInverter collector cables

Reference twins

Khavda Hybrid RE Park — PS-4 · Gujarat15 MW wind · 5.5 MWdc PV · 10 MW/20 MWh BESS · 45 MW peaker · 400 kV pooling
Bhadla Solar Park — Block 7 · Rajasthan4 × 3 MWdc bifacial trackers · 33/220 kV pooling

Use case · Catch a gearbox before it takes a turbine down

1Nacelle, gearbox and generator telemetry from the park SCADA streams into the twin.
2The physics engine compares output against the IEC 61400-12 power curve; health scoring applies ISO 10816 vibration zones.
3A streaming z-score anomaly on gearbox_temp_c triggers an INSPECTION recommendation (confidence 0.6+) with the expected avoided cost.
4A work order is created and dispatched to the site crew; the 3D twin shows the exact turbine and sensor.
5Closure and findings are recorded; the fleet health index and RUL update for the whole class.

Reference: 25% less downtime and up to 5-year life extension with fleet predictive maintenance.

Fleet Health — renewables scope — Live capture: Fleet Health scoped to wind, solar & storage — health index, RUL and anomaly ranking per turbine, inverter and rack.

Why it pays

25%less downtime with fleet predictive maintenance

up to 5 yrasset life extension

≥ 70%anomaly precision target confirmed by O&M

What changes for your team

IEC 61400-12 power-curve and ISO 10816 vibration baselines out of the box
Work orders drafted from anomalies with expected avoided cost
BESS thermal and state-of-health risk on the same screen as production

Digital Twin · 3D Site Twin · Bhadla Solar Park — Block 7 — Live capture: 3D site twin of Bhadla Solar Park — Block 7 (4 × 3 MWdc bifacial trackers · 33/220 kV pooling) with equipment status and sensor pins.

Case study · reference twin

Reference deployment · Khavda wind fleet gearbox save

Six 2.5 MW turbines; one gearbox develops a bearing temperature anomaly that averages hide — the park SCADA shows normal production.

Streaming z-score on gearbox_temp_c flags the deviation against the IEC 61400-12 baseline
INSPECTION recommendation with expected avoided cost; work order dispatched to the site crew
3D twin pinpoints the turbine and sensor; closure updates fleet RUL for the class

Runs end-to-end on the Khavda Hybrid RE Park — PS-4 reference twin (Gujarat) — real geography and plant configuration, synthetic telemetry. Reproduce every number in the live demo.

≈ 3 weeksearlier detection than the temperature alarm threshold

1 crane visitplanned instead of an emergency gearbox exchange

25%reference downtime reduction across the monitored fleet

Implementation

Live in 90 days, advisory-first.

Read-only: park SCADA (OPC UA / IEC 61400-25 exports / historian), OEM tag lists mapped in the review queue, market or PPA prices for value booking.

Weeks 1–3 · Connect

Park SCADA connected read-only; turbines, inverters and BESS racks auto-mapped from tag names with human review.

Exit · Fleet visible with live health colouring

Weeks 4–8 · Model & baseline

IEC 61400-12 power curves and ISO 10816 vibration baselines per asset; anomaly thresholds tuned against O&M history.

Exit · Baseline report; first confirmed anomalies

Weeks 9–12 · Advisory live

Anomaly → recommendation → work-order flow live with your O&M provider; avoided-cost booking per closed work order.

Exit · Precision review with O&M; realised-value ledger

Value & ROI

Estimate your case — wind, solar & storage numbers only.

Defaults below are the reference figures for this industry; drag the sliders to your fleet. The full calculator with every industry is on the Value & ROI page.

Recovered production (performance & curtailment)

Parks / plants4 Average park capacity50 MWRecoverable performance loss4 %Power-curve deviation, soiling, tracker faults hidden in averages.Production hours per year2,400 hEnergy price (PPA / merchant)35 USD/MWh

Avoided downtime (turbines, inverters, BESS)

Turbines / inverters / racks monitored120 Unplanned events per asset per year0.8 Average outage duration48 hGearbox or main-bearing failures run to weeks when caught late.Cost per outage hour1,200 USDReduction from predictive maintenance25 %Reference: 25% less downtime, up to 5-year life extension.

Illustrative annual value

Energy recovered: 8 MW avg; USD 672,000 / yr
Outage hours avoided: 1,152 h; USD 1.38 M / yr
Total: USD 2.05 M; per year, before subscription

Anomaly-to-work-order flow drafts the intervention with expected avoided cost; realised value is booked when the work order closes. The 90-day pilot replaces every assumption here with measured numbers from your telemetry and recommendations marked realized.

See it running on the reference twins — or on a sanitised slice of your own telemetry. Try the live SCADA & 3D demo

Request a demo

See Digital Twin on your own network data.

A 45-minute working session with our grid engineers on a sanitised slice of your topology and telemetry, followed by a scoped 90-day pilot proposal.

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