Verifying ROI in a Zero CapEx model relies on transparent, real-time data and standardized protocols. Instead of guessing or relying on the provider's unverified claims, savings are proven using the IPMVP (International Performance Measurement and Verification Protocol) and tracked live via an AIoT dashboard that monitors power draw before and after the retrofit.

The Problem with "Estimated Savings"

In the past, replacing T8 fluorescent tubes with LED tubes often resulted in disputes between the building owner and the contractor. The contractor would claim a "50% savings," but the building's total TNB bill might only drop slightly due to other factors (like air conditioning usage increasing during a hot month).

How do you prove that the lighting specifically saved money?

With an AIoT (Artificial Intelligence of Things) smart lighting system, verification is no longer an estimation; it is an exact science.

Step 1: Establishing the Baseline

Before any new lights are installed, a power meter (or IoT edge gateway) is temporarily installed on the lighting circuits to record the exact energy consumption over a specific period (e.g., 2 weeks). This establishes the Baseline Energy Consumption.

Step 2: The IPMVP Standard

The industry standard for verifying savings is the IPMVP. Under this protocol, savings are calculated as:

Savings = (Baseline Energy Use) - (Post-Retrofit Energy Use) +/- (Routine Adjustments)

Because AIoT smart lights (like Anyi Smart's radar-equipped tubes) communicate their exact power consumption to a central cloud server, calculating the "Post-Retrofit Energy Use" is done automatically and continuously.

Comparing Verification Methods

  • Data Collection: Traditional LED Swap (Manual meter reading) vs. Anyi Smart (Live automated telemetry)
  • Granularity: Traditional LED Swap (Whole-building only) vs. Anyi Smart (Zone-by-zone or tube-by-tube)
  • Transparency: Traditional LED Swap (Contractor's spreadsheet) vs. Anyi Smart (Client-accessible Cloud Dashboard)
  • Dispute Resolution: Traditional LED Swap (Difficult; relies on estimates) vs. Anyi Smart (Indisputable raw data logs)
  • Standard Used: Traditional LED Swap (Often none) vs. Anyi Smart (IPMVP Guidelines)

Step 3: The Live AI Dashboard

The most powerful verification tool is the cloud dashboard provided with the system. Facility managers can log in at any time to see:

  • Real-time power consumption (in Watts/kW).
  • Total energy saved (in kWh).
  • Monetary savings (in RM, calculated against the TNB tariff).
  • Carbon emissions avoided (in KG of CO2).

FAQ: Frequently Asked Questions

Q: What if the dashboard goes offline? Does it stop recording savings? A: No. High-quality IoT edge gateways have local storage. If the internet connection drops, the gateway continues to record and store the data locally. Once the connection is restored, it uploads the historical data to the cloud, ensuring zero data loss.

Q: Can the provider manipulate the dashboard data to show higher savings? A: A reputable PaaS provider uses third-party certified edge meters and encrypted data transmission to ensure data integrity. Furthermore, you can always cross-reference the lighting circuit sub-meter readings with the dashboard.

Q: Do we need to hire an external energy auditor to verify the data? A: In most standard PaaS contracts, the automated dashboard data is agreed upon as the single source of truth. However, for very large industrial deployments, some clients choose to hire an independent auditor for the first 3 months to validate the baseline and dashboard accuracy.

User Scenario: The Skeptical JMB

The Joint Management Body (JMB) of a luxury condominium in Subang was skeptical about the claimed more than 60% savings for their basement carpark.

To verify, Anyi Smart installed a sub-meter on Level B1 and recorded the baseline: 61.18 kWh per day (1 floor of carpark). After upgrading Level B1 to 5.8GHz Radar AIoT lights, the consumption plummeted to just 19.33 kWh per day.

Because the JMB had access to the Anyi Smart app on their phones, the Chairman could see the graph drop dramatically on the exact day of installation. There was no need for complex calculations; the ROI was visible, verifiable, and indisputable in real-time.