Measure
Electricity, fuel, vehicles, procurement, commuting and waste data are gathered under a single boundary definition, with the source and assumption behind every figure documented.
Digital Carbon Monitoring and Scalable Campus Projection Model — A Pilot at the AKU Rectorate Building
Institutional carbon inventories are usually compiled by hand, completed once and never repeated. This pilot at the Afyon Kocatepe University Rectorate Building draws activity data from the institution's administrative and financial records in structured form and processes it in an ERP-based calculation layer, making the inventory repeatable — and turns building-level indicators into a campus-scale projection model that accounts for building typology.
Approach
The project applies our standard way of working inside a public institution.
Electricity, fuel, vehicles, procurement, commuting and waste data are gathered under a single boundary definition, with the source and assumption behind every figure documented.
Data is mapped for structured transfer. Which record feeds which emission category becomes an explicit schema.
The inventory stops being a project rebuilt from scratch each year. Results are published on a publicly accessible panel updated periodically, and building-level indicators are scaled across the campus.
Inventory boundary
Not all of Scope 3 — only the categories the data can actually support. A narrow, explicit boundary is what makes the result verifiable.
| Scope | Included | Data source |
|---|---|---|
| 1 | Heating fuel, institutional vehicles, refrigerant top-ups | Fuel purchase and maintenance records |
| 2 | Purchased electricity | Periodic billed consumption (kWh) |
| 3 selected | Purchased goods and services, staff commuting, waste | Procurement records, commuting survey, zero-waste records |
Roadmap
The project was submitted to the Council of Higher Education within the single form compiled by Afyon Kocatepe University.
Energy, fuel and procurement records for the Rectorate Building are compiled and the staff commuting survey is run.
Emission factors are documented, intensity indicators (tCO₂e per m² and per capita) calculated, and the mapping schema and scaling model built.
Preliminary findings, the scaling model and the methodological guide are presented.
Outputs
A 2025 carbon inventory for the Rectorate Building, with documented boundaries and assumptions.
A mapping schema and calculation module linking administrative and financial records to emission categories.
A projection from building-level indicators to the whole campus and comparable administrative service buildings. Labs and workshops need separate coefficients.
An online dashboard where results are published and updated periodically.
An open guide in Turkish and English for replication by other units and institutions.
A manuscript prepared for submission to a peer-reviewed journal.
Partners
Afyon Kocatepe University — the Rectorate Building serves as pilot site, data source and implementation environment. Led by Dr. Hacer Arıol, with Turgay Taymaz and Büşra Arıol (Env. Eng.).
DH Carbon Digital Transformation Technologies — calculation methodology, data architecture and reporting infrastructure. A technology venture based at Zafer Technopark.
The method transfers beyond public institutions to service buildings — schools, offices, retail centres and hotels. For multi-branch organisations it scales into a reporting layer covering the entire network.
Contact
Let's look at how much of your existing record system can be used as it stands.
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