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One screen for everything an asset owner asks: what is running, what is it earning, what broke, who is fixing it, and how much the operation lost against the best machine in each wind class this season.
Aralvaimozhi Wind Cluster
24 × 250 kW in Class 1/2/3 + 2 × 3 MW pilotThovalai Solar Park
25.1 MWp DC · 20 MWac · 8 invertersActive incidents
Last wind season
Portfolio energy outlook: next 7 days
From fault to fixed, and the client sees every step
SCADA, inverter and meter data every 1–10 min: wind, power, temperatures, vibration, string currents.
Each turbine is compared with the best-run sample in its wind class, so the wind's own variation cancels out.
Root-cause hints (reset pending, gearbox, yaw, blades, inverter, string) with the loss in units and ₹ per hour.
WhatsApp to the owner and the nearest technician: asset, location pin, fault, spares to carry.
Ticket timeline with SLA timers: accepted → on site → resolved, geo-verified.
Monthly and seasonal report: units recovered, ₹ saved, availability, SLA compliance.
Built on real, public weather & climate data
Aralvaimozhi wind farm in 3D
Every turbine sits on the terrain of the pass inside its wind class. Rotors turn at their real RPM, nacelles yaw into the measured wind, and stopped 250 kW machines deploy their blade-tip brakes. Click any turbine for live SCADA.
Season loss audit: one sample turbine, every turbine judged
Wind flow is area-wise, so every cluster sits in a wind class (1, 2 or 3). Inside a class all turbines see nearly the same wind, so the best-run 250 kW sample turbine shows what every other turbine should have produced. Wind is not in our control; the gap between a turbine and its sample is operation and maintenance, and that is what this page measures in units and rupees.
Turbines vs sample
Where the units went
Season story: actual vs expected (from the sample)
Loss by month
Next wind season: prediction
How one sample predicts N turbines
Fleet SCADA
Live 10-minute SCADA values for all 26 turbines, as an AMC control room sees them. Select a turbine to see its power-curve performance, drivetrain temperatures and component health with remaining-life estimates.
All turbines
Power curve: measured vs warranted
Component health & RUL
Drivetrain temperatures: last 6 hours
Loss & revenue calculator
"If this turbine doesn't run for 1 day, 2 days, a week, how much do I lose? And if it keeps happening for a year?" Pick a turbine class, a wind class, a month and a duration.
Scenario
Cost of one day of downtime, by month
Same turbine, one year: reactive maintenance vs predictive AMC
Wind forecast: 15 minutes to 3 years
Probabilistic forecasts from a live 31-member weather ensemble, converted into farm power with each turbine's power curve, wind class, availability and wake losses. Below: the TNERC 96-block day-ahead schedule, monthly climatology and a multi-year projection.
Hub-height wind speed: next 7 days
Farm power forecast (MW)
7-day energy outlook & maintenance windows
Day-ahead schedule: 96 × 15-min blocks (tomorrow)
Deviation settlement estimate
Monthly energy: P50 & P90 (typical year)
Seasonal wind direction & speed
Multi-year projection: cumulative energy & revenue
Repowering & life-extension advisor
The 250 kW machines are 22–27 years old. Replacing them ("plucking out and putting in new units") multiplies the energy from the same land and the same grid connection. Pick a class cluster to see the gain, the investment and the TN policy position.
Repowering scenario
Annual energy: before vs after
Cumulative cash flow (incremental)
Fleet eligibility under the TN policy
Wind site planner
"I have this much land at this location. If I put up wind turbines, what will I get in a year?" The tool fetches 20-year NASA POWER climatology for the exact coordinates and runs the full turbine model.
Your land
Expected monthly generation
25-year cumulative cash flow
Layout & assumptions
Thovalai solar park in 3D
832 module tables under the true astronomical sun for Thovalai. Cloud shadows drift across with the wind and really dim the tables beneath them, and faults are pinned to the exact block, inverter, combiner box, table and string. Switch to Thermal IR to see what a drone survey sees.
Inverters & string heatmap
Every string is compared with its neighbours in real time. Strings in the same combiner box see the same sun, so one running 10% low is a fault, not weather. That is how the platform finds a single bad string among 1,664.
String current heatmap
I-V curve
Inverter output today: actual vs expected
Loss calculator & cleaning optimizer
What does a tripped inverter, a blown SCB fuse or a dusty block cost per day, per month and per year? And how often should the panels be cleaned so cleaning pays for itself?
Cost of one day of downtime, by month
Reactive O&M vs SuryaVayu AMC: one year
Module cleaning optimizer
Solar forecast: next 7 days to 25 years
Live ensemble irradiance on the tilted panel plane, converted to plant power with the full PV model. Below: the 96-block day-ahead schedule, the monthly yield climatology and a 25-year degradation-aware projection.
Plane-of-array irradiance: next 7 days
Plant AC power forecast (MW)
7-day energy outlook & cleaning / maintenance windows
Day-ahead schedule: 96 blocks (tomorrow)
Deviation settlement estimate
Monthly yield: P50 & P90
Sun path at Thovalai (8.23° N)
25-year generation & revenue projection
Solar site planner
"I have this land in this area. If I install solar, how many MW fit and what will I earn in a year?" Choose a location (or type coordinates), set the acreage and fetch 20-year NASA climatology.
Your land
Expected monthly generation
25-year cumulative cash flow
Layout & assumptions
AMC plans: monitoring + maintenance as a measurable service
Three tiers the owner can understand in rupees. Every plan is backed by this platform: the client sees availability, units recovered against the sample turbine, and SLA performance every month.
AMC value calculator: total cost of ownership
Lost revenue is measured against 99% availability and includes undetected under-performance (power-curve drift, late resets, soiling, open strings). Indicative values.
Service levels (SLA)
| Metric | Monitor | Care | Performance+ |
|---|---|---|---|
| Remote monitoring | 24×7 | 24×7 | 24×7 + analyst |
| Alert to owner (WhatsApp) | < 5 min | < 5 min | < 2 min |
| Grid-trip reset (legacy WTGs) | Alert only | < 30 min, remote | Auto-reset relay fitted |
| Technician acknowledgement | n/a | < 30 min | < 15 min |
| On-site response (critical) | On call, billed | < 4 h | < 2 h |
| Preventive maintenance | n/a | Quarterly + pre-monsoon | Monthly + pre-monsoon |
| Season loss audit (sample turbine) | Yearly | Monthly | Weekly + action list |
| Guaranteed availability | n/a | 95% (wind) / 98% (solar) | 97% / 99%, with LD payout |
| Module cleaning (solar) | n/a | Monthly | Optimised (data-driven) |
| Drone thermography / blade inspection | n/a | Yearly | Half-yearly |
| Day-ahead forecasting & QCA | Add-on | Add-on | Included |
How the AMC business earns
Recurring ₹/MW/year by tier. Predictable, multi-year revenue.
Paid on units recovered against the sample-turbine baseline: aligned incentives.
Schedule submission & DSM management for many owners.
Feasibility, TNGECL filings, EPC management for old turbines.
Roadmap & possibilities
Everything this platform can become for the client's AMC business: what is already working in this demo, what is pilot-ready in weeks with the client's data, and what comes next. Each item lists the value it creates.
Pilot plan
What we need from the client to start
Wind & solar: terms, methods and sources
Every technical term used on this platform, explained for an owner and precise for an engineer.
How a wind forecast is made
GFS, ECMWF, ICON run 2–4× per day
Site / class factor, ML trained on SCADA
31 members → P10/P50/P90
× availability, wake, losses
To SLDC via QCA
How a solar forecast is made
Cloud cover, aerosols, irradiance
Astronomical zenith & azimuth
GHI → POA on the module
Temperature, soiling, clipping
96 blocks, ±tolerance band