HVAC System Performance
Central Chiller Plant
Trane CenTraVac
Cooling Capacity
45,000 TR
IPLV (Part-Load)
0.52 kW/TR
COP (Coefficient)
6.8
Current Load
67%
Thermal Energy Storage
Ice Storage System
Storage Capacity
8,500 TR-hr
State of Charge
84%
Peak Shaving
12,000 kW
Cost Savings/Day
$34,200
Chilled Water Loop
Primary/Secondary
CHW Supply Temp
6.7ยฐC
CHW Return Temp
12.8ยฐC
Delta-T
6.1ยฐC
Flow Rate
28,500 GPM
Heat Recovery System
Pool + DHW
Recovered Heat
8,200 kW
Pool Heating
100%
Domestic Hot Water
85%
Gas Savings
$2.1M/yr
AI Predictive Maintenance
Chiller Units #1-4
All parameters nominal
Pump P-107
Vibration +12% - Service in 14 days
Cooling Towers CT-1 to CT-6
Water quality optimal
VFDs & Motors
THD < 5%, Temperature OK
AHU Units (248)
Filter ฮP within tolerance
BMS Integration
847,000 data points live
Energy Performance 24h
DGM World Model - All Measurement Points
Physics-Informed LLM (PILLM) Data Model - 847,000 BMS Data Points - Real-time Anomaly Detection
B3 โ G โ M1-M5 โ F1-F75 โ ROOF | 75 Stockwerke | 32 Aufzรผge | 248 AHUs | 7.115 FCUs
ZONE B3-B1: Basement Levels - Infrastructure
DC_INTAKE_TR
District Cooling Intake
45,000
TR
โ 0.0%
GEN_1_4_KW
Emergency Generators 1-4
0
kW
STANDBY
UPS_BANK_PCT
UPS Battery Capacity
100
%
โ CHARGED
WTP_FLOW_M3H
Water Treatment Plant
285
mยณ/h
โ 0.5%
SWG_PUMP_PCT
Sewage Pumps Load
42
%
โฒ 8%
FIRE_PUMP_PSI
Fire Suppression Pressure
125
PSI
โ OK
TES_ICE_SOC
Ice Storage State of Charge
84
%
โผ 12%
PARK_CO_PPM
Parking Garage CO Level
12
ppm
โ SAFE
ZONE G: Ground Floor - Lobby & Reception
LOBBY_TEMP_C
Grand Lobby Temperature
22.5
ยฐC
โ 0.0ยฐC
AHU_LOBBY_KW
Lobby AHU-1 to AHU-4
248
kW
โผ 5%
AIR_CURT_KW
Entrance Air Curtains
45
kW
โ AUTO
RECEP_OCC
Reception Waiting Area
34
Gรคste
โฒ 12
ZONE M1-M5: Mechanical Floors (F1, F15, F30, F45, F60)
CHW_PLANT_KW
Chiller Plant Total
14,280
kW
โผ 3.2%
IPLV_ACTUAL
IPLV Efficiency Live
0.52
kW/TR
โผ 0.8%
CHW_DELTA_T
CHW Temperature Delta
6.1
ยฐC
โ 0.0%
PUMP_STATION_KW
Pump Station M1
485
kW
โ 0.2%
AHU_M15_CLUSTER
AHU Cluster Floor 15
12
Units
โ ALL OK
AHU_M30_CLUSTER
AHU Cluster Floor 30
12
Units
โ ALL OK
AHU_M45_CLUSTER
AHU Cluster Floor 45
12
Units
โ ALL OK
AHU_M60_CLUSTER
AHU Cluster Floor 60
12
Units
โ ALL OK
ZONE F1-F75: Guest Rooms (7,115 Rooms)
ROOM_OCC_TOTAL
Total Room Occupancy
5,550
/ 7,115
โฒ 78%
FCU_F1_F15
FCU Zone Floor 1-15
22.3
ยฐC avg
โ 0.1ยฐC
FCU_F16_F30
FCU Zone Floor 16-30
22.1
ยฐC avg
โ 0.0ยฐC
FCU_F31_F45
FCU Zone Floor 31-45
22.4
ยฐC avg
โ 0.2ยฐC
FCU_F46_F60
FCU Zone Floor 46-60
22.2
ยฐC avg
โ 0.1ยฐC
FCU_F61_F75
FCU Zone Floor 61-75 (Suites)
21.8
ยฐC avg
โ PREMIUM
CORR_AHU_ALL
Corridor AHUs All Floors
75
Units
โ ALL OK
KEYCARD_ACTIVE
Active Room Keycards
4,820
Cards
โฒ 156
ELEVATORS: 32 Elevator Units (8 Banks ร 4)
ELEV_BANK_A
Express E1-E4 (Lobbyโ75)
4/4
Online
โ 100%
ELEV_BANK_B
Low-Rise E5-E8 (1-25)
4/4
Online
โ 100%
ELEV_BANK_C
Mid-Rise E9-E12 (26-50)
4/4
Online
โ 100%
ELEV_BANK_D
High-Rise E13-E16 (51-75)
4/4
Online
โ 100%
ELEV_SERVICE
Service Elevators E17-E24
8/8
Online
โ 100%
ELEV_FREIGHT
Freight Elevators E25-E32
8/8
Online
โ 100%
ELEV_REGEN_KW
Regenerative Braking
145
kW
โฒ 8%
ELEV_TRIPS_24H
Trips Last 24h
28,450
Trips
โฒ 5%
KITCHEN & F&B: 12 Restaurants, 8 Kitchens
KITCH_EXHAUST_CFM
Kitchen Exhaust Total
185,000
CFM
โ 0.5%
WALKIN_COOL_C
Walk-in Coolers (12 Units)
2.1
ยฐC
โ OK
FREEZER_C
Freezers (8 Units)
-18.5
ยฐC
โ OK
DISH_HEAT_REC_KW
Dishwasher Heat Recovery
85
kW
โฒ 12%
LAUNDRY: 45,000 kg/day Capacity
STEAM_BOILER_KG
Steam Boiler Output
2,850
kg/h
โ 0.2%
LAUND_HEAT_REC
Dryer Heat Recovery
320
kW
โฒ 8%
LAUND_WATER_M3
Water Consumption/h
18.5
mยณ/h
โ 0.5%
WATER_RECYCLE_PCT
Water Recycling Rate
72
%
โฒ 2%
POOL & SPA: 4 Pools, Wellness Center
POOL_MAIN_C
Main Pool Temperature
28.5
ยฐC
โ 0.0ยฐC
SPA_JACUZZI_C
Jacuzzi / Hot Tub
38.2
ยฐC
โ 0.1ยฐC
POOL_DEHUM_KW
Pool Dehumidification
185
kW
โผ 5%
POOL_HEAT_REC
Pool Heat from Condenser
100
%
โ FULL
CONFERENCE: Grand Ballroom, 45 Meeting Rooms
BALLROOM_TEMP_C
Grand Ballroom (5,000 Guests)
21.5
ยฐC
โ 0.0ยฐC
MEETING_ROOMS_AVG
Meeting Rooms Average
22.1
ยฐC
โ 0.2ยฐC
AV_COOL_KW
AV/IT Equipment Cooling
45
kW
โ 0.5%
CONF_OCC_NOW
Current Conference Occupancy
2,840
Gรคste
โฒ 15%
ROOFTOP F75: Cooling Towers, Solar, Helipad
CT_1_6_FANS_KW
Cooling Towers CT-1 to CT-6
485
kW
โผ 8%
CW_TEMP_OUT_C
Condenser Water Out
29.5
ยฐC
โ 0.2ยฐC
SOLAR_PV_KW
Rooftop Solar Array
285
kW
โฒ 12%
OAT_ROOF_C
Outside Air Temp Roof
32.4
ยฐC
โฒ 2.1ยฐC
HELIPAD_STATUS
Helipad Lighting
AUTO
Mode
โ READY
HEAT_REC_TOTAL_KW
Total Heat Recovery
8,240
kW
โฒ 4.2%
CT_FAN_VIB_MM
Cooling Tower Vibration
1.2
mm/s
โ OK
PLANT_TOTAL_KW
Total Hotel Power
14,280
kW
โผ 3.2%
BESS: Battery Storage 5 MWh (Peak Shaving)
BESS_SOC_PCT
Battery State of Charge
76
%
โฒ CHARGING
BESS_POWER_KW
Current Power
+850
kW
CHARGING
BESS_TEMP_C
Battery Temperature
28.5
ยฐC
โ OPTIMAL
BESS_SAVINGS_24H
Peak Shaving Savings
$4,280
/day
โฒ 12%
BESS_CYCLES
Total Charge Cycles
847
/ 6000
โ 85% SOH
BMS_STATUS
Battery Management System
48/48
Cells OK
โ BALANCED
GRID_FEED_KW
Grid Feed-in
0
kW
โ SELF-USE
BESS_ROI_PCT
Return on Investment
24.5
% p.a.
โฒ EXCELLENT
SOLAR PV: Rooftop Photovoltaic 1.2 MWp
PV_POWER_KW
Current PV Power
892
kW
โฒ 74%
PV_ENERGY_24H
Today's Yield
4,850
kWh
โฒ 8%
SOLAR_IRRAD
Solar Irradiance
845
W/mยฒ
โ CLEAR
INV_STATUS
Inverter Status
12/12
Online
โ 98.2%
PV_MODULE_TEMP
Module Temperature
42.5
ยฐC
โ OK
CO2_AVOIDED_KG
COโ Avoided Today
2,425
kg
โฒ GREEN
SELF_CONSUME_PCT
Self-Consumption Rate
94
%
โ OPTIMAL
PV_SAVINGS_24H
PV Savings Today
$1,650
/day
โฒ 15%
TAXI FLEET: 45 E-Shuttles with V2G BESS (2.7 MWh)
FLEET_ACTIVE
Vehicles Active
38
/ 45
โ 84%
V2G_POWER_KW
V2G Feed-back Power
185
kW
โฒ PEAK
FLEET_CHARGING
Vehicles Charging
7
/ 12 Slots
โ 58%
FLEET_SOC_AVG
Average SOC
72
%
โ OK
FLEET_BESS_MWH
Fleet BESS Capacity
2.7
MWh
โ V2G
V2G_REVENUE_24H
V2G Revenue Today
$420
/day
โฒ 12%
TRIPS_24H
Trips Today
847
Trips
โฒ 5%
FLEET_CO2_KG
COโ Avoided
1,250
kg/day
โฒ GREEN
MCS BUS: 10 Megawatt Charging Stations (4.5 MW Peak)
MCS_TOTAL_KW
MCS Total Power
2,850
kW
โฒ 63%
MCS_ACTIVE
Active Charging Points
6
/ 10
โ 60%
BUS_CHARGING
Buses Charging (450 kW/Bus)
6
E-Buses
โ 15min
MCS_BESS_MWH
MCS Buffer BESS
3.5
MWh
โ 68%
MCS_ENERGY_24H
Charged Today
18,500
kWh
โฒ 8%
PEAK_SHAVE_KW
Peak Shaving Active
1,200
kW saved
โฒ ACTIVE
BUS_QUEUE
Buses in Queue
2
waiting
โ ~8min
MCS_COST_24H
Charging Cost Today
$2,405
/day
โผ -18%
DGM World Model - Schmidhuber Framework
847,000
BMS Data Points
75
Floors
32
Elevators
11.2 MWh
Total BESS
1.2 MWp
Solar PV
45
E-Shuttles V2G
10
MCS Chargers
4.5 MW
MCS Peak
38%
Energy Savings
Top 25 Mega-Hotels Worldwide
Potential energy savings with Stromfee.AI HVAC optimization
| # | Hotel | Location | Rooms | Cooling (TR) | Potential/Year |
|---|---|---|---|---|---|
| 1 | First World Hotel | Malaysia | 7,351 | 52,000 | $14.2M |
| 2 | The Venetian Resort | Las Vegas, USA | 7,115 | 45,000 | $12.4M |
| 3 | Abraj Al Bait | Mekka, Saudi-Arabien | 6,000 | 155,000 | $38.5M |
| 4 | The Londoner Macao | Macau, China | 6,000 | 42,000 | $11.8M |
| 5 | MGM Grand | Las Vegas, USA | 5,044 | 35,000 | $9.8M |
| 6 | Izmailovo Hotel | Moskau, Russland | 5,000 | 28,000 | $6.2M |
| 7 | Wynn Las Vegas & Encore | Las Vegas, USA | 4,748 | 32,000 | $9.2M |
| 8 | Barkhatnye Sezony | Sotschi, Russland | 4,688 | 24,000 | $5.4M |
| 9 | Mandalay Bay Resort | Las Vegas, USA | 4,426 | 30,000 | $8.6M |
| 10 | Luxor Las Vegas | Las Vegas, USA | 4,407 | 28,000 | $7.8M |
| 11 | Ambassador City Jomtien | Thailand | 4,219 | 26,000 | $7.2M |
| 12 | Excalibur Hotel | Las Vegas, USA | 3,981 | 25,000 | $7.0M |
| 13 | Aria Resort & Casino | Las Vegas, USA | 3,969 | 27,000 | $7.6M |
| 14 | Bellagio | Las Vegas, USA | 3,950 | 26,500 | $7.4M |
| 15 | Circus Circus | Las Vegas, USA | 3,767 | 22,000 | $6.1M |
| 16 | Hilton Hawaiian Village | Hawaii, USA | 3,386 | 18,000 | $5.0M |
| 17 | Flamingo Las Vegas | Las Vegas, USA | 3,460 | 20,000 | $5.6M |
| 18 | The Palazzo | Las Vegas, USA | 3,068 | 21,000 | $5.9M |
| 19 | Paris Las Vegas | Las Vegas, USA | 2,916 | 18,500 | $5.2M |
| 20 | Planet Hollywood | Las Vegas, USA | 2,496 | 16,000 | $4.5M |
| 21 | Marina Bay Sands | Singapur | 2,561 | 22,000 | $6.2M |
| 22 | Atlantis The Palm | Dubai, UAE | 1,548 | 18,000 | $5.1M |
| 23 | Resorts World Sentosa | Singapur | 1,500 | 15,000 | $4.2M |
| 24 | Gaylord Opryland | Nashville, USA | 2,888 | 19,000 | $5.3M |
| 25 | Caesars Palace | Las Vegas, USA | 3,960 | 26,000 | $7.3M |
| TOTAL Savings Potential | 102,447 | 754,000 TR | $191M+ | ||
FAQ - AI Energy Management
What is IPLV and why is it more important than EER?
IPLV (Integrated Part Load Value) measures chiller efficiency at part load - the state in which it operates 90% of the time. EER (Energy Efficiency Ratio) only measures full load. A hotel with IPLV 0.52 kW/TR saves up to 40% compared to a system with good EER but poor IPLV.
How does AI-powered Predictive Maintenance work?
IoT sensors continuously capture vibration, temperature, current draw, and Delta-T. Physics-Informed LLMs (PILLM) interpret this data through thermodynamic laws and detect anomalies up to 14 days before failure. This reduces unplanned downtime by 85% and maintenance costs by 30%.
What is Thermal Energy Storage (TES)?
TES systems produce ice or chilled water at night when electricity is cheap. During daytime peak load, this stored cooling is used. A mega-hotel can save 30-40% on peak demand charges - for 7,000 rooms that's $3-4M annually.
Why is heat recovery so effective in hotels?
Hotels have simultaneous demand for cooling (rooms, lobby) and heat (pools, hot water, laundry). Instead of wasting condenser heat, it's used for domestic hot water. This saves 60-80% of gas costs for DHW - for a mega-hotel $2-3M per year.
Which refrigerants are future-proof?
R-410A (GWP 2088) is being phased out. Future-proof are low-GWP alternatives like R-32 (GWP 675), R-454B (GWP 466), or natural refrigerants like COโ/R-744 (GWP 1). COโ systems are especially suited for heat recovery at high hot water temperatures.
What makes the Abraj Al Bait cooling system special?
With 155,000 tons of cooling capacity, it's the world's largest cooling system. It serves millions during the Hajj pilgrimage. The redundancy with two stations (Shamiya 120,000 TR, Ajyad 35,000 TR) ensures N+1 failover resilience - critical for this infrastructure.
Mega-Hotel Energy Consulting
Discover how AI-driven HVAC optimization can save millions. Free initial analysis for hotels with 1,000+ rooms.