RESEARCH PROJECT DISCLAIMER: This interface and its predictive models are part of an MSc research project. The district heating predictions provided are for demonstration and academic purposes only, and may contain inaccuracies. Do not use for actual physical plant control.

CONTROL CENTER: PLANT_MANAGEMENT

LINK: LOST

DISTRICT_HEATING_PLANT_NODES

Real-time operational telemetry & system vitals

STABLE_RUN
PLANT_STATUS
2.8 MW
CURR_DEMAND
TARGET: 3.2 MW
87.3%
OP_EFFICIENCY
+2.1% DELTA_D
23:40
RUNTIME_TCL
CONT_OPERATION

PRIMARY_NODE_CONTROLS

PARAM_VECTORS: THERMAL & HYDRAULIC

BUFFER: 160-200°C
BUFFER: 6-12 BAR

PLANT_AI ACTIVE: AUTONOMOUS OPTIMIZATION OF THERMAL VECTORS IN PROGRESS...

HEATING_REQUIREMENTS_ARRAY

CURR_HEAT_LOAD
2.8 MW
REAL-TIME NETWORK FEED
PRED_LOAD (1H)
3.2 MW
AI FORECAST_PHASE
PEAK_LOAD_T
3.6 MW
DAILY PEAK BUFFER
AVG_LOAD (24H)
2.4 MW
ROLLING AVG METRIC

SYSTEM_LOGS & ALERTS

HIGH_DEMAND_PREDICTED

2 MIN AGO

Demand expected to increase by 20% in next 4 hours

AI_OPTIMIZATION_ACTIVE

15 MIN AGO

System automatically adjusted temperature setpoint

EFFICIENCY_IMPROVED

1 HOUR AGO

Current efficiency: 87.3% (+2.1% from yesterday)

QUICK_INTERRUPTS