GRESB Data Requirements & Submetering Best Practices

How real estate portfolio managers can improve GRESB benchmarking workflows with retrofit automated submetering - from existing meters, without replacement.

2,000+

GRESB participants globally

core performance data areas: energy, GHG, water, waste

Asset-level

data coverage and monitoring focus

Multi-utility

electricity, gas, water, steam, and gauges

What Is GRESB?

GRESB is a widely used ESG benchmark for real estate and infrastructure investments. For real estate managers, the challenge is not only having a sustainability policy - it is proving performance with consistent, asset-level data across energy, greenhouse gas emissions, water, waste, and monitoring processes.

Data areas where submetering matters

ENEnergy

Whole-building and asset-level consumption
Source and fuel-type visibility
Coverage across managed assets

GHGEmissions

Scope 1 and Scope 2 calculations
Utility-backed activity data
Consistent evidence for review

WAWater and waste

Water consumption
Waste metrics where relevant
Improved monitoring and review cadence

The Data Gap

GRESB reporting depends on portfolio teams being able to collect, normalize, and review asset-level performance data. Many real estate portfolios rely on a mix of analog and digital meters installed over decades, often by different contractors - producing data in different formats, at different intervals, with different levels of traceability.

Key data challenges include:

Manual meter reading often provides only monthly snapshots, delaying anomaly detection and review.
Tenant submeters are often isolated from central data collection systems, creating blind spots in portfolio-wide reporting.
Different meter types (electricity, gas, water, steam) require separate reading processes and data formats, complicating aggregation.
Data without source evidence is harder to review, reconcile, and defend during verification workflows.

Retrofit Submetering: A Scalable Path Forward

VeriReader's FALCON 201 retrofit device helps solve the data gap at the source. By mounting onto existing electricity, gas, water, steam, and industrial meters - regardless of age, manufacturer, or type - it unifies utility readings into a single automated collection stream. Every reading includes a timestamped photograph, creating an evidence trail for internal monitoring, third-party review, and ESG data governance.

Unified dashboard

All utility types - electricity, gas, water, steam, and gauges - in one view, with historical comparison and anomaly alerts.

Audit-ready evidence

Every reading paired with the source meter photograph. Full traceability for ESG review and verification.

Portfolio scale

From single buildings to 650,000+ units. The same retrofit device works across your entire portfolio.

Proven GRESB-Ready Deployments

The same retrofit approach is already delivering portfolio-wide energy data for leading real estate and facility management organizations:

85% efficiency gain in meter operations for a telecom-group building services provider — view case study
50% cost reduction for a commercial building management firm, with structured data feeding sustainability reporting — view case study
100+ buildings unified under a single energy data layer at Expo 2025 Osaka — view case study
Multi-utility electricity, gas, and water unified in a single dashboard for a railway facility manager — view case study

For real estate organizations preparing for GRESB submission, the path to better data coverage does not require a portfolio-wide meter replacement program. VeriReader's retrofit approach delivers granular, verifiable consumption data from the meters already in place.

Official sources

FAQ

Does GRESB require submetering?

GRESB does not simply mandate one hardware approach. It evaluates reported ESG performance, data coverage, monitoring, and evidence quality. Submetering and automated meter reading help create the asset-level utility data needed for stronger reporting workflows.

Why are legacy meters a problem for GRESB reporting?

Legacy meters often require manual collection, inconsistent spreadsheets, and delayed monthly snapshots. That makes it harder to prove coverage, spot anomalies, and maintain a reliable review trail across a portfolio.

How does image-backed AI meter reading help?

Each reading is paired with a timestamped meter image. That gives sustainability teams and reviewers a traceable link between reported consumption values and the physical source meter.