Met mast and LiDAR QC
Data recovery, boom shadow, sensor drift, anemometer calibration, cyclone gaps, and GSM-buffer artefacts are documented before modelling.
India WRA
Bankable wind resource assessment for Indian projects.
Independent WRA for Gujarat, Tamil Nadu, Rajasthan, Karnataka, Maharashtra, Andhra Pradesh, and repowering portfolios. Built around met mast QC, MCP, terrain-appropriate modelling, wake, IEC 61400, and P50/P75/P90 outputs.
ERA5 / MERRA-2MCP baseline
NIWE / IMDlocal cross-checks
IEC 61400site suitability
India-specific WRA checks
MCP and reference selection
ERA5 and MERRA-2 are tested against onsite records, with NIWE, IMD, or operational SCADA used where reanalysis underperforms.
Wake and repowering
Neighbouring project wake, larger rotors, hub-height changes, grid constraints, and MNRE repowering policy implications are reviewed.
Regional focus
| Region | Typical WRA issue | Review treatment |
|---|---|---|
| Gujarat / Kutch | Monsoon directionality, coastal flow, sand abrasion, cluster wake | Reference cross-check, sector QC, neighbour-wake sensitivity |
| Tamil Nadu | Palghat / Tuticorin regimes, operational fleet wake, repowering | SCADA benchmark, wake calibration, hub-height rescaling |
| Western Ghats / Nilgiris | Complex terrain and ridge acceleration | WindPRO/WAsP-CFD or CFD-supported uncertainty |
| Rajasthan | Desert shear, bearing wear, reanalysis bias | Sensor drift checks and MCP residual review |