Airshed Prediction Model / Operational Guidance

Save energy with airshed intelligence

Urban heat and trapped particulates strain air handling units and split air conditioners. hafDegri forecasts clean airshed flush windows and nocturnal inversion traps so you can adjust setpoints, open fresh air intake, and shut windows at the exact right hours.

Optimization Target Commercial Chiller Plant & Building HVAC

Airshed Geographic Corridor Nearest reference node: Byculla Station #3409510 (5.2 km)

Quick Corridors:

Current PM2.5

38.4µg/m³

Clean marine sea breeze active

Ambient Temperature

28.2°C

Relative humidity: 62%

Wind Vector

12.8km/h

Direction: WSW (Maritime Flush)

Predicted 24h Savings

21.8%

Chiller power draw reduction

24-Hour Airshed Operational Timetable

Model run: 6:00 AM IST daily cycle | Spatial gradient regression

Model Accuracy and Disclosure

Urban airsheds are influenced by localized street canyons, coastal breeze penetration, and diurnal inversion layers. hafDegri uses a spatial inverse distance gradient verified against four ground truth stations. Real-world conditions fluctuate, and predictions carry an empirical error margin. Use these schedules as predictive engineering guidance calibrated alongside your on-site building management meters.

Overall MAE:±10.5 µg/m³

Overall RMSE:13.18 µg/m³

H=1h RMSE:2.36 µg/m³

Empirical MAPE:24.4%

Validation:Ground-truth locked