Digital Twin
A digital twin powered energy management solution by Kognos HT that creates a real-time virtual model of hotel and resort facilities. It monitors energy consumption, predicts inefficiencies, and optimises HVAC, lighting, and equipment performance. AI-driven insights reduce energy costs, improve sustainability, and enable smarter, data-led operational decisions across the property.
What is it?
Digital Twin for Energy Management by Kognos HT creates a live virtual model of a hotel or resort’s energy ecosystem. It mirrors real-world assets including guest rooms, HVAC, lighting, kitchens, pools, lifts, and entire building zones, using real-time sensor data, occupancy patterns, equipment performance, and weather forecasts.
For hospitality operators, the digital twin acts as a central intelligence layer. It predicts energy demand, highlights inefficiencies, tests cost-saving scenarios, and automates smarter energy decisions. The result is lower operating costs, improved sustainability performance, and consistent guest comfort, helping hotels run greener, leaner, and more profitably.
What Does It Include?
3D/4D digital replica of the hotel or building infrastructure
IoT sensors and smart meters for temperature, humidity, occupancy, and energy consumption
Real-time data ingestion and analytics pipelines
AI-based energy forecasting and load prediction
HVAC, lighting, and equipment optimization controls
Scenario simulation engine (e.g., occupancy, weather, peak-hour pricing)
Maintenance insights: equipment health monitoring & early fault detection
Sustainability tracking (CO₂ reductions, energy KPIs, ESG metrics)
Multi-building & multi-property dashboards for hotel groups
How Does It Work?
IoT sensors, BMS systems, HVAC units, PMS occupancy data, and energy meters stream live information into the platform.
A high-fidelity model replicates every equipment point, zone, floor, and operational system of the hotel.
Predicts energy demand based on weather, occupancy, guest patterns.
Identifies anomalies and inefficiencies (e.g., overcooling, idle running).
Suggests optimal settings for HVAC, lighting, and equipment.
Automates energy adjustments through BMS/BAS or provides actionable recommendations to engineering teams.
The system becomes smarter over time as it learns property-specific behavior and seasonal trends.
Business Benefits
20–35% reduction in total energy consumption
Lower operational costs with predictive insights and optimized usage
Improved guest comfort through intelligent, zone-based climate control
Peak load management to avoid high tariff periods
Reduced carbon footprint supporting sustainability & ESG goals
Enhanced equipment lifespan via predictive maintenance
Real-time visibility across building systems and properties
Higher profitability through optimized energy-to-revenue ratio
Better engineering decisions through data-driven insights
Deployment Options
Cloud-Based
Fast rollout, centrally managed for multi-property groups.Hybrid Deployment
Cloud analytics with on-premise integration to BMS/HVAC controls.On-Premise (High-Security)
Suitable for government-run hospitality, remote resorts, or policies requiring local hosting.Standalone Property Deployment
Ideal for single hotels or small resorts.Multi-Property Centralized Deployment
Perfect for chains and hospitality groups with unified reporting.
Integrates With
- Building Management Systems (BMS/BAS)
Schneider, Honeywell, Siemens, Johnson Controls - IoT & Sensor Platforms
Modbus, BACnet, LoRaWAN, Zigbee-based sensors - PMS (Property Management Systems)
For occupancy-driven energy optimisation - HVAC Systems
Chillers, VRF/VRV, air handlers, thermostats, exhaust/ventilation systems - Smart Lighting Systems
DALI, KNX, Philips Hue Enterprise, Crestron - Energy Meters & Smart Meters
Electrical, water, cooling, gas - Sustainability & ESG Dashboards
Carbon tracking tools, reporting frameworks