WORKING / DEPLOYED
Sample data

Analysis

Business Bay cooling load

Expected load is the authority. Actual demand is compared against the operating envelope.

SAMPLE DATA MODE

Actual demand

428 kW

Expected

371 kW

Deviation

+15.4%

  1. 01 Data

    What is happening?

  2. 02 Analysis

    What is wrong and why?

  3. 03 Solution

    What should be done?

  4. 04 Impact

    What changed and can we prove it?

INTELLIGENCE ACTIVESIMULATED SOURCESAMPLE DATA

Data context

Organisation
NEXUS Reference Portfolio
Site
Business Bay HQ · BB-HQ
Building
BB-HQ-MAIN · Headquarters
Location
Business Bay, Dubai, UAE
Asset
CH-Z4 — Zone 4 cooling plant
Data source / Meter
SM2044 · Simulated Smart Meter
Metric
Demand
Unit
kW
Resolution
Asset / Zone
Data quality
High — Sample
Integration
SIMULATED — NO LIVE BMS / IOT CONNECTION
Data mode
Sample

Facility intelligence topology

Business Bay HQ

BB-HQ-MAIN

01 Data

Energy load envelope

What is happening?

Energy load envelope

CH-Z4 — Zone 4 cooling plant · SM2044 · Simulated Smart Meter

Actual

428 kW

Expected

371 kW

Deviation

+15.4%

Peak 14:0008:0009:0010:0011:0012:0013:0014:0015:0016:00
Expected envelope Actual load Deviation

02 Analysis

Load outside the envelope

What is wrong and why?

  • Load deviation

    Confirmed

    Attention

  • Expected envelope

    Exceeded

    Actual 428 kW versus expected 371 kW.

  • Baseline deviation

    +15.4%

    CH-Z4 — Zone 4 cooling plant

  • Operating pattern

    Outside expected range

    Zone 4 cooling continues above the expected envelope.

  • Data quality

    High — Sample

    SM2044 · Simulated Smart Meter

  • Detection resolution

    Asset / Zone

    CH-Z4 — Zone 4 cooling plant

NEXUS analytics
Calculates
Energy Baseline Engine
INFIGROWTH AI
Explains. Never calculates.
Interpretation / Prioritisation
Source
SM2044 · Simulated Smart Meter

Where this data comes from

Data lineage

SAMPLE DATA

Organisation
NEXUS Reference Portfolio
Site
Business Bay HQ · BB-HQ
Asset
CH-Z4 — Zone 4 cooling plant
Source ID
SM2044 · Floor energy meter
Source type
SMART METER / SIMULATED METER
Metric
Demand · kW
Data quality
HIGH — SAMPLE
Detection resolution
ASSET / ZONE
Source
NEXUS Simulator
Stored in
Railway PostgreSQL
Analysis
Energy Baseline Engine
AI role
Interpretation / Prioritisation

Data limitation

  • Sample stream only. No live BMS or IoT connectivity.

03 Solution

Recommended solution

What should be done?

Primary action

Reduce Zone 4 cooling operation between 15:00–17:30.

Zone cooling continues despite low occupancy.

  1. 01 Review

    Review Zone 4 cooling load against the expected envelope.

  2. 02 Confirm occupancy

    Confirm occupancy and schedule context for the deviation window.

  3. 03 Adjust

    Reduce Zone 4 cooling operation between 15:00–17:30.

  4. 04 Confirm

    Confirm the schedule change on the cooling plant.

  5. 05 Measure

    Compare post-action demand against the 371 kW expected load.

  6. 06 Verify

    Record evidence-backed before/after comparison in the Impact Ledger.

View evidence

NEXUS recommends; people approve and carry out the work. NEXUS does not control equipment.

04 Impact

Potential versus verified

What changed and can we prove it?

Potential

AED 17,740 sample potential from ranked energy cases

A projection from the gap to baseline. Nothing has been achieved yet.

Measuring

Requires approved action and measurement

Action carried out. The before/after measurement window is still open.

Verified

AED 4,763

Measurement window closed with evidence attached. Sample records, not customer savings.

VERIFIED SAMPLE IMPACT

SAMPLE DATAVERIFIED

Cooling schedule corrected

Business Bay HQ · Smart Meter SM2044

  1. 01 Before

    178 kWh/day

    ↓

  2. 02 Action

    Cooling schedule corrected

    ↓

  3. 03 After

    149 kWh/day

    ↓

  4. 04 Verified result

    AED 4,763

Reduction
10,585 kWh avoided · 4.28 tCO₂e avoided
Financial impact
AED 4,763
Evidence
Smart Meter SM2044
Confidence
93%
How this was calculatedShow working

Sample record. Quantities come from the sample meter window; values are derived as shown.

  1. 1. Energy avoided per year

    29 kWh/day × 365 days

    = 10,585 kWh

  2. 2. Financial value

    10,585 kWh × 0.45 AED/kWh

    = AED 4,763

  3. 3. Carbon avoided

    10,585 kWh × 0.4041 kgCO₂e/kWh ÷ 1,000

    = 4.28 tCO₂e

Assumptions used

  • Electricity rate: 0.45 AED / kWhSample assumptionIllustrative sample rate. Not a published tariff. Replace with the site's billed rate.
  • Grid electricity emission factor (Dubai): 0.4041 kgCO₂e / kWhPublished referenceDEWA Sustainability Report 2020, as indexed by Climatiq (AR4). Reference value from a 2020 publication. Confirm against DEWA's latest published factor before any real inventory.

NOT ACTUAL CUSTOMER SAVINGS

NOT ACTUAL CUSTOMER SAVINGS

Data maturity

REAL-TIME SIMULATION

Source: NEXUS Simulator. Integration: SIMULATED. Not live IoT connectivity.

NEXUS ZERO is designed to work with the data an organisation already has, with deeper analysis as data maturity improves.

No new sensor installation is required by the design. The depth of analysis depends on how often data arrives.

Source types in the data model

Utility bills · Manual meter readings · CSV · API · BMS / EMS / CMMS · Smart meter · IoT sensor

Not yet built: file upload, utility-bill import and live connectors to building systems.

  1. MANUAL

    Utility bills, manual readings, spreadsheets

    ↓

  2. PERIODIC

    Scheduled meter exports, CSV, monthly/weekly data

    ↓

  3. CONNECTED

    API, BMS/EMS/CMMS integration, smart meters

    ↓

  4. REAL-TIME

    High-frequency meters/sensors

    ↓

  5. AUTONOMOUS-READY

    Governed control integration and verified write-back capability