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Scaler GRESB Converter: Methodology & Assumptions

A detailed overview of the Scaler internal GRESB Converter, including the assumptions, inference rules, and data-structure logic used to migrate GRESB Asset-Level Spreadsheet data into the Scaler bulk upload format.

Overview

The Scaler internal GRESB Converter migrates historical sustainability data from the GRESB Asset-Level Spreadsheet submission (ALS) into the Scaler bulk upload Spreadsheet format. The converter provides an initial, structured import of asset-level data, supporting new clients who previously completed GRESB reporting and enabling a faster transition into Scaler.

The ALS does not contain all technical, contextual, or configuration-level details required to produce a complete and fully accurate representation of an asset in Scaler. For this reason, a client review step remains essential to validate that imported data, meter structures, and configurations align with real-world asset characteristics. Scaler’s implementation team remains available to support clarification or review.


 

1. General assumptions

Unless supplementary documentation or clarifications are provided, the converter applies the following assumptions across all mapped components.

1.1 Asset details

Unit system

All unit system values are assumed to be Metric, consistent with the standardized GRESB reporting format.

Owned since

If the owned since field is not present in the ALS, the converter applies a default date of the first day of the previous calendar year (e.g., 1 January 2023), unless the ALS indicates that the asset became a standing investment within the two most recent reporting periods.

Active in analytics

Assets are assumed to be active in the Analytics Portal by default. This configuration can be modified later at the asset level if required.

Active in reporting outputs

Assets are assumed to be included in reporting outputs unless manually adjusted.


1.2 Floor areas

Unit system

Floor area units are assumed to follow the Metric system.

Gross floor area

Gross floor area (GFA) is inferred using the earliest reporting year available in the ALS.

“Since” dates

If “since” dates are not provided, the converter defaults them to the first day of the relevant reporting period.


1.3 Certifications

Unit system

Certification data is assumed to use the Metric system.

Date obtained

If missing, certification dates default to the first day of the reporting period.


2. Assumptions for utility meters

2.1 Energy meters

Unit system

Energy meter units are assumed to be Metric.

Monitoring method

Monitoring method defaults to conventional meter unless the ALS indicates smart metering or estimation.

Purchased by

The Purchased by field is inferred from the associated Area type (e.g., landlord, tenant).


2.2 Water meters

Assumptions follow the same logic as energy meters:

  • Metric unit system
  • Default monitoring method of conventional metering, unless otherwise indicated
  • Purchased by inferred from Area type

2.3 Waste meters

The same assumptions apply:

  • Metric unit system
  • Default monitoring method of conventional metering, unless otherwise indicated
  • Purchased by inferred from Area type

3. Data not included in the conversion

Non-operational EV charging consumption

Non-operational EV charging data contained in the ALS is not transferred to the Scaler upload template. This data must be added manually and allocated to the appropriate area type (e.g., exterior, common).


4. Recommendations for client data preparation

To support data completeness during migration, certain information not captured by GRESB should be prepared alongside the ALS.

Gross asset value & percentage ownership

The ALS provides Gross asset value (GAV) and Percent of ownership only for the current reporting year. Scaler requires these values for both the current and prior periods; therefore, prior-year values should be added to the Reporting Characteristics sheet of the GRESB export before migration.

Assistance can be provided upon request.


5. Niche and advanced assumptions

5.1 Allocation of ‘On-site generated and exported by landlord energy’

When both common-area and tenant-area meters exist, allocations for on-site generated and exported energy are determined using proportional consumption ratios.

Example input values

  • Base area consumption: 800
  • Tenant area consumption: 200
  • On-site generated & consumed by landlord: 300
  • On-site generated & consumed by tenant/third party: 100
  • On-site generated & exported by landlord: 2000

Step 1 — Consumption ratio

Total consumption = 1000

  • Common areas: 800 / 1000 = 80%
  • Tenant areas: 200 / 1000 = 20%

Step 2 — Allocation of on-site consumption (green meters)

Total on-site consumption = 400

  • Common areas: 400 × 80% = 320
  • Tenant areas: 400 × 20% = 80

Step 3 — Allocation of exported energy

Total redelivery of 2000 is assigned to the on-site renewable energy meter.

Step 4 — Grey meter consumption

  • Common areas: 800 − 320 = 80
  • Tenant areas: 200 − 80 = 120

This approach ensures consistent proportional allocation across both on-site renewable generation and redelivery volumes.


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