Scope 3 Category 15 · Financed Emissions
PCAF Commercial Real Estate Calculator — Financed Emissions & Carbon Intensity
Compute attributed building emissions and per-square-metre carbon intensity for commercial-real-estate lending and investment under the PCAF Global GHG Accounting and Reporting Standard v2 (2024), Annex 7.4, with property-value attribution, the building-energy emissions chain, and auto-derived data quality scoring per property.
Attribution formula (per property):
Financed emissions = (Outstanding amount ÷ Property value at origination) × Building annual emissions (Scope 1 + Scope 2)
The denominator is the property value at the point of loan origination — not the current market value, not the sponsor’s corporate balance sheet. This is the structural pivot of PCAF’s real-estate asset classes: attribution runs against the financed property itself, fixed at origination, and held stable across reporting periods for the life of the loan. The same denominator computed at origination in 2026 is used in 2027, 2028, and onwards, so year-over-year trend comparison isolates change to the numerator (outstanding amount) and to building emissions, not to a moving property valuation.
Building emissions, not corporate emissions. The numerator is the property’s annual operational emissions — energy consumed within the building boundary — not the emissions of the borrower or the building’s tenant company. A loan secured on a single office building attributes that building’s Scope 1 (on-site combustion, typically gas heating) plus Scope 2 (purchased electricity), regardless of how many corporates occupy it. Where the building’s energy is metered, the calculator multiplies measured kWh by the relevant emission factor; where only floor area or asset type is known, it estimates down the PCAF data quality ladder.
The energy-to-emissions chain. The calculator accepts building energy at three levels of fidelity: (1) metered actual energy in kWh, split by carrier (electricity and gas), multiplied by the carrier emission factor; (2) an energy-intensity estimate in kWh/m² multiplied by floor area, then by the carrier factor; (3) a direct carbon-intensity figure in kg CO₂e/m² multiplied by floor area, where no energy-carrier breakdown is available. Each rung maps to a PCAF data quality score. Electricity uses the location-based grid factor (DEFRA 2026 for UK assets, read from the MasterBrain by country code); gas uses the UK natural-gas factor; a supplier-specific certificate (REGO, green tariff) can override the grid factor where the property holds a contractual instrument.
Use-of-collateral is the asset-class gate. Commercial real estate under Annex 7.4 covers lending and investment where the financing is secured on, or directly invested in, commercial property — offices, retail, industrial, logistics, hotels, mixed-use. A general-purpose corporate loan to a property company is business loans (Annex 7.2), attributed against the company’s book value. A loan secured on a specific commercial building is commercial real estate (Annex 7.4), attributed against that building’s value. Residential property secured on individual homes is mortgages (Annex 7.5), with its own loan-to-value attribution. Every position belongs to exactly one asset class.
Two result components. The calculator reports a financed-emissions metric strip (absolute financed tCO₂e, economic intensity in tCO₂e per £M invested, weighted data quality score, and carbon intensity per m²) and a separate physical-intensity panel (carbon intensity per m², energy intensity in kWh/m², floor-area coverage, and a qualitative CRREM stranding note). The two components answer different questions — how much the portfolio finances, and how carbon-efficient the financed floor area is — and are read together for real-estate climate-risk screening.
Data quality scoring is auto-derived. The score for each property is constructed from the input shape — metered energy with a verification flag, metered energy without it, an energy-intensity estimate, a floor-area-and-asset-type estimate, or a property-value-and-asset-type estimate — never self-assigned. PCAF v2 assurance procedures specifically look for evidence the score is built from inputs rather than asserted.
Excluded asset classes: general-purpose corporate lending goes to business loans & unlisted equity; positions in listed property companies and REITs go to listed equity & corporate bonds; ring-fenced construction of a new building financed on a project-recourse basis goes to project finance; residential mortgages to mortgages; motor-vehicle loans to motor-vehicle loans. Each has its own attribution mechanics under PCAF v2.
Absolute financed emissions are currency-independent; economic intensity uses the reporting currency. Carbon / energy intensity are per-m² (currency-free).
PCAF §5.4 attributes on the property value at loan origination (outstanding ÷ property value). Building emissions = electricity × grid factor + heating fuel × fuel factor. Metered energy scores 1–2; floor-area benchmark estimates score 3–5.
Audit mode exposes per-property attribution + energy provenance for verification.
Add properties above and click Calculate
Absolute financed emissions, economic intensity, building carbon intensity (kg CO₂e/m²) and energy intensity (kWh/m²), an auto-derived PCAF data-quality score, scenario analysis, and a full audit trail appear after calculation.
Results are indicative, intended for PCAF financed-emissions screening of commercial-real-estate portfolios. For regulatory disclosure (CSRD/ESRS E1, IFRS S2, TCFD, CDP, SBTi for Financial Institutions), validate outstanding amounts and the property value at origination against the loan agreements and valuations at a consistent reporting date, disclose the portfolio-weighted data quality score alongside absolute financed emissions per PCAF §6, and report financed emissions separately from your own operational inventory. Building emissions cover operational energy only — embodied / construction (whole-life) carbon is out of scope. Electricity uses location-based grid factors (no market-based / residual-mix factors are applied); UK heating uses DEFRA factors, other geographies require a user-entered fuel factor. Floor-area benchmark estimates (PCAF score 3–5) use a user-entered energy intensity — cite a CRREM / official (DEC, ENERGY STAR, EU EPBD) benchmark and prefer metered energy where available. The kg CO₂e/m² intensity is reported for stranding-risk benchmarking against CRREM pathways; this calculator does not assign a quantified pathway-alignment label. GreenCalculus does not apply FX rates: enter economic-intensity inputs in a single reporting currency.
Commercial real estate is the PCAF asset class where the carbon lives in a building, not a balance sheet. The financed emissions of a property loan are the emissions of the bricks, the boiler, and the electricity meter — the operational energy a building burns to keep its lights on, its floors heated, and its tenants working. That makes real estate unusually tractable: the emissions are physical, measurable, and increasingly metered under tightening building-performance regulation. It also makes it unusually exposed, because a building that fails a future energy-performance standard is a stranded asset on the lender’s book.
This calculator implements PCAF v2 Annex 7.4 with property-value attribution, the full building-energy emissions chain, auto-derived data quality scoring, and a per-square-metre carbon-intensity panel that maps directly onto the CRREM decarbonisation pathways real-estate lenders use to screen for stranding risk.
Financed emissions for commercial real estate are the outstanding loan divided by the property value at origination, multiplied by the building's annual Scope 1 + 2 emissions, reported alongside kg CO₂e per square metre.
What commercial real estate covers in PCAF v2
PCAF v2 Annex 7.4 covers lending secured on, and direct equity investment in, commercial property — the financing exists against an identifiable building or portfolio of buildings whose operational energy use is the source of the attributed emissions. The defining feature is the use-of-collateral qualifier: the position is secured on a specific commercial property, and that property’s energy consumption is what the calculator attributes.
Where this sits in the inventory — Scope 3 Category 15
For financial institutions with commercial-mortgage, real-estate-investment, or asset-backed-lending desks, commercial real estate is the asset class where physical emissions data is most available and most regulated. Building energy is increasingly metered, certified, and disclosed under energy-performance regimes — which means real estate often reaches better data quality than general-purpose corporate lending, and is the asset class where decarbonisation levers (retrofit, electrification, on-site renewables, green tariffs) are most directly observable on the lender’s book. PCAF — the Partnership for Carbon Accounting Financials — provides the methodology layer that the GHG Protocol Scope 3 Standard cross-references for the financial sector. PCAF v2, published in December 2024, kept the nine-asset-class architecture established in PCAF 2020 while tightening the disclosure surface.
This calculator implements PCAF v2 Annex 7.4. It is the fourth of nine asset-class calculators in the GreenCalculus PCAF cluster, paired structurally with the Listed Equity & Corporate Bonds Calculator (Annex 7.1, EVIC denominator), the Business Loans & Unlisted Equity Calculator (Annex 7.2, book-value denominator), and the Project Finance Calculator (Annex 7.3, project-capitalisation denominator). It shares the same parent category and the same auto-derived data quality scoring engine, but attributes against property value at origination and surfaces the per-square-metre physical-intensity panel that the corporate-finance asset classes do not carry.
Asset-class boundary — what’s in, what’s elsewhere
| Covered in this calculator | Out of scope — separate PCAF asset class |
|---|---|
| Loans secured on commercial offices, retail units, retail parks, shopping centres | General-purpose corporate lending to a property company — see PCAF Business Loans & Unlisted Equity Calculator (book-value attribution) |
| Industrial and logistics property — warehouses, distribution centres, light-industrial estates, manufacturing units | Listed equity in a REIT or property operating company — see PCAF Listed Equity & Corporate Bonds Calculator (EVIC denominator) |
| Hospitality and mixed-use — hotels, serviced apartments, leisure, mixed commercial-residential where the commercial component dominates | Ring-fenced construction of a new building on a project-recourse basis — see PCAF Project Finance Calculator (project-capitalisation attribution) |
| Direct equity investment in commercial buildings held on the institution’s own balance sheet | Residential mortgages on individual homes — see the PCAF Mortgages Calculator (loan-to-value attribution per Annex 7.5) |
| Refinancing of standing commercial-property loans where the security remains a specific identifiable building | Motor-vehicle loans and auto leases — see the PCAF Motor Vehicle Loans Calculator (distance-based attribution per Annex 7.6) |
The boundary between commercial real estate and business loans is the use-of-collateral qualifier, not the borrower’s sector. A general-purpose revolving credit facility to a property-investment company is business loans (Annex 7.2), attributed against the company’s book equity plus book debt. A loan secured on a specific office building owned by that same company is commercial real estate (Annex 7.4), attributed against that building’s value at origination with that building’s energy as the emissions source. The calculator selection follows the security and use-of-proceeds, not the borrower’s corporate identity.
How the calculation works — property-value attribution
Each property in a commercial-real-estate portfolio reduces to one multiplication, run for every property and summed at the portfolio level:
Financed emissions (tCO₂e) = (Outstanding amount ÷ Property value at origination) × Building annual Scope 1 + Scope 2 emissions
The ratio in parentheses — the outstanding loan divided by the property value at origination — is the attribution factor. It is dimensionless, so absolute financed emissions are currency-independent: a portfolio with consistent denominators produces the same tCO₂e total whether stated in GBP, EUR, or USD. Currency only enters the economic-intensity metric (tCO₂e per £M invested).
The denominator — property value at origination, fixed
Value at origination, not current market value
PCAF v2 Annex 7.4 specifies the property value at the point of loan origination as the denominator. This is deliberate: using a fixed origination value rather than a fluctuating current valuation isolates year-over-year change to the numerator and the building’s emissions, rather than to a moving market price. A property that appreciates does not mechanically reduce its attribution factor.
Property value, not corporate value
The denominator is the value of the financed building, taken from the valuation at origination — not the borrower’s balance sheet, not the building’s tenant company’s market capitalisation. This is the pivot from the business-loans and listed-equity asset classes: a single building, valued at a single point, against a single outstanding loan.
One financing line per property
Where the institution holds multiple facilities secured on one building, aggregate its own outstanding exposure across them into a single outstanding figure per property before entry. Entering facilities as separate property rows inflates the property count and repeats the building-emissions term, which corrupts data quality scoring at the portfolio level. Pre-aggregate per property.
The numerator — the building’s own annual emissions
The numerator is the property’s annual operational GHG inventory, scoped at the building level:
- Building Scope 1 (mandatory) — direct combustion within the building boundary, dominated in most commercial property by natural-gas space heating and hot water. For a building with no on-site combustion (all-electric heating, district heat), Scope 1 is zero.
- Building Scope 2 (mandatory) — purchased electricity for lighting, plant, lifts, cooling, and equipment loads. For a modern all-electric office or a logistics shed with refrigeration, Scope 2 dominates the total.
- Building Scope 3 — upstream embodied carbon and tenant-controlled energy are out of scope for the operational attribution in this calculator; the embodied-carbon question is addressed separately in §6 below.
A common error is to attribute the borrower’s corporate emissions — the property company’s whole-group footprint — against a single-building loan. Annex 7.4 attributes the financed building’s emissions only. If a property company owns fifty buildings and the institution lends against one of them, only that one building’s energy enters the calculation, attributed by that building’s loan-to-value ratio. The other forty-nine are either separate CRE positions (if separately financed) or out of scope entirely.
The building-energy emissions chain
The numerator — the building’s annual Scope 1 + 2 in tCO₂e — is constructed from energy data at whatever fidelity is available, and the fidelity determines the data quality score. The calculator accepts three input modes, in descending order of quality, and the choice of mode is the single most consequential decision in commercial-real-estate carbon accounting.
Mode 1 — metered actual energy (Score 1–2)
Enter measured annual consumption in kWh, split by carrier: electricity and, where present, gas. The calculator multiplies electricity by the location-based grid factor and gas by the natural-gas factor, summing to building Scope 1 + 2. This is the highest-fidelity input — the building’s actual energy bill, not an estimate. A supplier-specific certificate (REGO, green tariff) overrides the grid factor for the electricity portion where the property holds the contractual instrument.
Mode 2 — energy-intensity estimate (Score 3)
Where metered data is unavailable, enter an energy-intensity benchmark in kWh/m² per carrier, multiplied by the building’s floor area. The benchmark comes from a building-type reference table (office, retail, warehouse, hotel each have characteristic energy intensities). This is a physical-activity-based estimate: floor area is known and building-specific, but the intensity factor is a sector benchmark rather than a meter reading.
Mode 3 — direct carbon intensity (Score 5)
The lowest-fidelity mode: enter a single carbon-intensity figure in kg CO₂e/m², multiplied by floor area, with no energy-carrier breakdown. This is used when neither metered energy nor an energy-intensity estimate is available — only an asset-type average carbon intensity. Because there is no carrier split, this mode produces no energy-intensity output and is excluded from the portfolio energy-intensity denominator.
Why the carrier split matters
Electricity and gas carry very different emission factors, and the grid factor falls every year as electricity decarbonises while the gas factor is essentially flat. A building’s carbon intensity therefore depends heavily on its heating fuel: an all-electric building on a decarbonising grid is on a falling carbon-intensity trajectory even with no physical change, while a gas-heated building is not. The carrier split in Mode 1 and Mode 2 captures this; Mode 3 cannot, which is one reason it sits at the bottom of the quality ladder. Electricity factors are read from the grid factor set — for UK assets, DEFRA 2026 via the Scope 2 electricity factor logic — and gas from the UK natural-gas factor.
The single highest-value data-quality upgrade in a commercial-real-estate book is moving a position from Mode 2 or Mode 3 to Mode 1 — from an estimate to a meter reading. Building energy data is increasingly available through tenant engagement, smart metering mandates, and energy-performance-certificate registries. A position upgraded from Score 3 to Score 2 not only improves the weighted portfolio data quality score but frequently changes the emissions estimate materially, because sector-average benchmarks systematically misstate individual buildings in both directions.
The PCAF data quality score for commercial real estate
PCAF v2 defines the same five-level data quality ladder for commercial real estate as for the other asset classes, but the rungs are defined in terms of building-energy fidelity rather than corporate-emissions reporting. Real-estate portfolios distribute across the full ladder more than project finance does — many standing-investment buildings predate energy-disclosure covenants, so estimate-grade positions (Scores 3–5) are common.
| Score | Data type | Example for a commercial-real-estate position | Realistic prevalence in CRE portfolios |
|---|---|---|---|
| 1 — highest quality | Metered actual energy, verified; or supplier-specific certificate | Building submits audited metered consumption, or holds a verified supplier-specific instrument (REGO-backed tariff) with documented kWh | Modest — concentrated in newer, certified, or actively-managed assets |
| 2 | Metered actual energy, unverified | Building reports metered electricity and gas in kWh under a loan covenant or tenant-engagement programme, without third-party assurance | Common — the target rung for an actively-managed CRE book |
| 3 | Energy-intensity estimate from floor area | Floor area known; energy intensity (kWh/m²) taken from a building-type benchmark and multiplied by area, then by carrier factor | Common — the modal rung for standing-investment books without metered data |
| 4 | Floor area × asset-type average emissions | Floor area known; emissions estimated directly from an asset-type average emission intensity without an energy-carrier breakdown | Modest — where floor area is recorded but no energy benchmark is applied |
| 5 | Property value × asset-type average, or direct carbon-per-m² average | Only property value or floor area and an asset-type average carbon intensity (kg CO₂e/m²) are available — no energy data at all | Common in legacy portfolios — the fallback rung |
The data quality score for every property is derived by the calculator from the input shape — never selected by the user. Metered energy with a verification flag receives Score 1; the same metered energy without the flag receives Score 2; an energy-intensity estimate from floor area receives Score 3; a floor-area-and-asset-type estimate receives Score 4; a carbon-per-m² or property-value-and-asset-type estimate receives Score 5. PCAF v2 assurance procedures specifically look for evidence the score is constructed from inputs, not asserted — self-assignment fails that trace by design.
Inputs this calculator needs — and where to source them
Commercial-real-estate carbon accounting is a data-sourcing exercise more than a calculation exercise. The arithmetic is one multiplication; the difficulty is assembling the inputs at the highest available fidelity. The four inputs below drive every result, and each has a characteristic source hierarchy.
| Input | Unit | Primary source | Fallback source |
|---|---|---|---|
| Outstanding amount | Reporting currency | Loan servicing system — drawn balance at reporting date | — |
| Property value at origination | Reporting currency | Origination valuation report (RICS Red Book or equivalent) | Purchase price at acquisition where no separate valuation exists |
| Floor area | m² (GIA or NLA — be consistent) | Valuation report, lease schedule, or building-management records | Energy-performance certificate (EPC) floor-area field |
| Building energy | kWh by carrier, or kWh/m², or kg CO₂e/m² | Metered consumption from utility bills or smart meters (Mode 1) | EPC modelled consumption, then building-type benchmark (Mode 2/3) |
Sourcing building energy — the critical path
Metered consumption (best)
Actual annual kWh from utility bills or half-hourly smart-meter data, split into electricity and gas. For owner-occupied or single-let buildings the landlord often holds the supply contract directly. For multi-let buildings, landlord-supplied common-parts energy is directly available; tenant demised energy requires tenant engagement or a green-lease data-sharing clause. This is Mode 1, Score 1–2.
Energy-performance certificate (good)
Most commercial buildings in regulated markets hold an EPC with a modelled energy-intensity figure and floor area. The EPC’s modelled consumption is an estimate, not a meter reading, so it maps to Mode 2 / Score 3 — but it is building-specific and far better than a bare asset-type average. EPC registries are an efficient way to backfill a standing portfolio at scale.
Building-type benchmark (fallback)
Where neither meter data nor an EPC is available, apply a building-type energy-intensity benchmark (office, retail, warehouse, hotel) to the known floor area. This is the lowest-fidelity energy estimate that still produces a carrier split — Mode 2 / Score 3 if a kWh/m² benchmark is used, or Mode 3 / Score 5 if only a carbon-per-m² average is available.
Supplier-specific certificate (override)
Where a building holds a contractual green-electricity instrument — a REGO-backed tariff in the UK, a comparable certificate elsewhere — the supplier-specific emission factor overrides the grid factor for the electricity portion. This is a genuine decarbonisation lever and can move a building’s carbon intensity dramatically, as the worked example below demonstrates.
Be consistent about floor-area basis across the portfolio. Gross internal area (GIA) and net lettable area (NLA) differ by 10–25% for a typical office, and mixing them silently distorts the per-square-metre carbon intensity that feeds CRREM screening. Pick one basis, document it, and apply it uniformly — the intensity comparison against a CRREM pathway is only meaningful if the denominator is constructed the same way as the pathway’s.
Operational vs embodied carbon — standing investment vs new build
This calculator attributes operational emissions — the energy a building consumes in use. That is the correct and complete scope for a standing-investment loan secured on an existing, operating building, which is the large majority of commercial-real-estate lending. But two situations raise the embodied-carbon question, and it is worth being explicit about where the boundary sits.
Standing investment — operational only
A loan secured on an existing operating building attributes that building’s annual operational Scope 1 + 2. Embodied carbon — the cement, steel, and construction emissions locked into the building decades ago — is a sunk historical emission, not an annual flow, and is not attributed in the operational PCAF figure. This is the scope the calculator implements.
New build — embodied carbon belongs elsewhere
Financing the construction of a new commercial building on a project-recourse basis is project finance (Annex 7.3), where construction-phase embodied carbon enters as a one-off reported figure. Once the building is complete and the financing converts to a standing-investment loan, it moves to commercial real estate (Annex 7.4) and operational-only attribution. The embodied-carbon pulse is accounted once, at construction, in the project-finance asset class.
Major retrofit — a judgement call
A deep retrofit (structural intervention, full re-cladding, plant replacement) carries its own embodied carbon. PCAF v2 treats operational attribution as the standing-investment default; where a material retrofit is financed as a discrete project, the embodied component may be more appropriately accounted in project finance. Document the treatment in the per-position audit trail.
Whole-life carbon — a reporting frontier
Whole-life carbon (operational plus embodied, per BS EN 15978) is increasingly demanded in real-estate climate disclosure, but PCAF financed-emissions accounting for standing CRE remains operational-focused. Embodied-carbon disclosure for CRE is a complementary reporting layer, not a substitute for the operational financed-emissions figure this calculator produces.
Commercial real estate vs mortgages under PCAF
Commercial real estate (Annex 7.4) and mortgages (Annex 7.5) are the two property-secured PCAF asset classes, and they share the same fundamental mechanic — attribution against property value, building emissions as the numerator. The differences are in scope, data availability, and the granularity at which buildings are accounted, and getting the boundary right matters because the same lender often runs both books.
| Dimension | Commercial real estate (Annex 7.4) | Mortgages (Annex 7.5) |
|---|---|---|
| Property type | Commercial — offices, retail, industrial, logistics, hotels | Residential — individual homes, owner-occupied or buy-to-let dwellings |
| Attribution denominator | Property value at origination | Property value at origination (loan-to-value) |
| Emissions numerator | Building Scope 1 + 2 from commercial energy use | Dwelling Scope 1 + 2 from household energy use |
| Typical data fidelity | Higher — commercial buildings increasingly metered and EPC-certified | Lower at scale — household metered data rarely held by the lender; EPC and dwelling-type averages dominate |
| Accounting granularity | Per building, often individually significant | Per dwelling, typically pooled and benchmark-estimated across large books |
| Decarbonisation levers observed | Retrofit, electrification, green tariffs, on-site renewables — directly on the lender’s book | Household retrofit and heat-pump conversion — observed mainly through EPC re-certification |
The boundary error to avoid is misclassifying a buy-to-let or residential-investment loan as commercial real estate because it sits on a commercial-lending desk. The asset class follows the property type, not the desk: residential dwellings are mortgages (Annex 7.5) even when financed as an investment, and the dwelling-energy benchmarks and loan-to-value conventions differ from the commercial-building benchmarks this calculator uses. Mixed-use buildings are classified by their dominant component, documented in the audit trail.
The two result components — metric strip and intensity panel
The calculator reports results in two distinct components, because commercial real estate answers two different questions: how much carbon the portfolio finances, and how carbon-efficient the financed floor area is. The first is the financed-emissions metric strip; the second is the physical-intensity panel. Carbon intensity per m² appears in both — it is the bridge between the two views.
Component one — the financed-emissions metric strip
| Metric | Units | What it answers | Disclosure framework |
|---|---|---|---|
| Absolute financed emissions | tCO₂e (auto-scales to ktCO₂e only at ≥10,000) | The total emissions footprint of the commercial-real-estate portfolio. | PCAF v2 (mandatory), GHG Protocol Scope 3 Cat 15, CSRD ESRS E1, EBA Pillar 3 ESG |
| Economic emissions intensity | tCO₂e / £M invested | Carbon efficiency relative to capital deployed. Live only for a single-currency book — a mixed-currency portfolio suppresses it. | PCAF v2 recommended supplementary metric |
| Carbon intensity | kg CO₂e / m² | The headline physical-intensity metric for real estate, and the one that maps onto CRREM pathways. Also reported in the intensity panel. | PCAF v2 supplementary metric; CRREM benchmarking input |
| Weighted data quality score | Score 1 to 5 | How much of the portfolio total is metered-and-verified versus benchmark-estimated, financed-emissions-weighted. | PCAF v2 (mandatory disclosure) |
Component two — the physical-intensity panel
The intensity panel holds the metrics that describe the financed floor area itself, rather than the capital deployed against it:
- Carbon intensity (kg CO₂e/m²) — repeated here from the strip, because it is the metric the rest of the panel contextualises.
- Energy intensity (kWh/m²) — the floor-area-weighted energy use across properties for which an energy-carrier breakdown exists. Properties entered in carbon-per-m² mode (Mode 3) carry no energy intensity and are excluded from this denominator.
- Floor-area coverage — total m² across the portfolio, with the percentage of financed emissions for which floor area is recorded. Coverage below 100% flags positions missing a floor-area input.
- CRREM stranding note — a qualitative assessment of whether the portfolio carbon intensity sits above or below the relevant CRREM decarbonisation pathway for the asset type and year. The engine renders a qualitative note, not a quantified stranding-year label — quantified pathway alignment is downstream work (see §10).
Carbon intensity per square metre is the real-estate-native metric in a way no economic-intensity figure can be. It is directly comparable against published CRREM decarbonisation pathways, directly responsive to the two levers a lender can influence — energy efficiency and supply decarbonisation — and directly meaningful to building-performance regulation. Where corporate-finance asset classes lean on WACI (a revenue-based intensity that is often uninformative), commercial real estate has a genuinely physical, genuinely decision-useful intensity metric. The calculator does not compute WACI for this reason.
Worked example — a four-property GBP commercial-real-estate portfolio
This example reproduces exactly against the live calculator. Reporting currency is GBP throughout, and the portfolio is entirely UK — so the grid factor (DEFRA 2025) and the natural-gas factor are both MasterBrain–native, with no user-entered fuel factor required. The four properties span the full data quality ladder (Scores 1, 2, 3, and 5) and all four input modes, demonstrating the metered-versus-estimated spread, the green-tariff lever, and the benchmark-estimate-leaning portfolio pattern in a single four-row book.
Inputs
| Property | Outstanding | Value (origination) | Floor area | Energy input | EF source | DQ |
|---|---|---|---|---|---|---|
| City office, London | £60M | £150M | 25,000 m² | Metered: 3,000,000 kWh elec + 2,000,000 kWh gas | GB grid + UK gas | 2 |
| Retail park, Manchester | £20M | £50M | 15,000 m² | Metered: 1,800,000 kWh elec, no gas | Supplier-specific REGO tariff, EF 0.025 | 1 |
| Distribution warehouse | £30M | £75M | 40,000 m² | Intensity estimate: 70 + 30 kWh/m² (elec + gas) | GB grid + UK gas | 3 |
| Industrial estate, Leeds | £10M | £40M | 30,000 m² | Carbon estimate: 45 kg CO₂e/m² | Direct (no carrier) | 5 |
The City office reports metered electricity and gas under a loan covenant without third-party assurance — Score 2. The Manchester retail park holds a REGO-backed green-electricity tariff with a supplier-specific factor of 0.025 kg CO₂e/kWh, documented and verified — Score 1, and the low supply factor is what makes its carbon intensity so much lower than the office’s despite an identical attribution factor. The distribution warehouse has no metered data, so a building-type energy-intensity benchmark of 70 kWh/m² electricity plus 30 kWh/m² gas is applied to its floor area — Score 3. The Leeds industrial estate has only an asset-type carbon-intensity average of 45 kg CO₂e/m² with no energy-carrier breakdown — Score 5, and consequently no energy-intensity output.
Property-by-property attribution
| Property | Attribution factor | Building tCO₂e | Financed tCO₂e | Share of financed | Carbon intensity | DQ |
|---|---|---|---|---|---|---|
| City office, London | £60M ÷ £150M = 4.00e-1 | 896.92 | 358.8 | 35.9% | 35.9 kg/m² | 2 |
| Retail park, Manchester | £20M ÷ £50M = 4.00e-1 | 45.00 | 18 | 1.8% | 3 kg/m² | 1 |
| Distribution warehouse | £30M ÷ £75M = 4.00e-1 | 715.15 | 286.1 | 28.6% | 17.9 kg/m² | 3 |
| Industrial estate, Leeds | £10M ÷ £40M = 2.50e-1 | 1,350.00 | 337.5 | 33.7% | 45 kg/m² · energy — | 5 |
| Portfolio total | 1,000 tCO₂e | 100.0% | — | — | ||
Three of the four properties carry an identical 0.40 attribution factor — coincidentally, each was financed at a 40% loan-to-value ratio. The Leeds estate sits at 0.25 (a 25% LTV). The building-emissions term is where the properties diverge sharply: the office burns 896.92 tCO₂e of building energy a year, the warehouse 715.15, the Leeds estate 1,350.00, but the retail park only 45.00 — because its REGO tariff strips the carbon out of its electricity. After attribution, the financed figures are 358.8, 18, 286.1, and 337.5 tCO₂e respectively, summing to a portfolio total of 1,000 tCO₂e. Note the hero figure stays in tonnes — the auto-scale to kilotonnes only fires at 10,000 tCO₂e and above, which this portfolio sits well under.
Component one — the financed-emissions metric strip
Component two — the physical-intensity panel
Reading the results — the green-tariff lever and the estimate-share warning
Two patterns in this portfolio are worth drawing out, because both recur across real commercial-real-estate books. The first is the green-tariff lever. The Manchester retail park and the City office have the same 0.40 attribution factor, but the retail park contributes only 1.8% of portfolio financed emissions against the office’s 35.9% — a twenty-fold difference. The cause is not the loan; it is the electricity supply. The retail park’s REGO-backed tariff gives it a carbon intensity of 3 kg/m² against the office’s 35.9 kg/m². This is the cleanest possible illustration that, in real estate, both data quality and decarbonised supply move the financed-emissions number — and that a lender’s engagement levers (encouraging green tariffs, financing retrofit) show up directly in the attributed figure.
The second is the estimate-share warning. The portfolio’s weighted data quality score is 3.28 — benchmark-estimate-leaning — because the two estimate-grade positions (the Score 3 warehouse and the Score 5 Leeds estate) together account for 62.3% of financed emissions. The calculator surfaces a warning when the estimate-grade share (Score 3 and worse) exceeds 50%, because at that point the portfolio total is driven more by benchmark assumptions than by measured data. The disclosure implication is direct: this portfolio’s headline 1,000 tCO₂e should be reported alongside the 62.3% estimate-grade share, because a reader who sees only the total would overstate its precision. The upgrade path is to move the warehouse and the Leeds estate from benchmark estimates to metered energy.
A note on the economic intensity: it reads as 8.34 tCO₂e/£M precisely because the entire book is denominated in a single currency. A mixed-currency portfolio suppresses this metric — the calculator will not divide a tCO₂e total by a sum of non-comparable currency amounts. Similarly, the all-UK construction means no user-entered fuel factor was needed; a portfolio with non-UK heating would require the analyst to supply the relevant national gas or heating-fuel factor per property.
CRREM alignment and stranding screening — downstream use
Commercial real estate is the asset class where decarbonisation-pathway alignment is most concrete, because buildings have a single, comparable physical-intensity metric — carbon per square metre — and a published, asset-type-specific decarbonisation pathway to compare it against. That pathway is CRREM, the Carbon Risk Real Estate Monitor. The financed-emissions inventory this calculator produces is the input layer for CRREM screening, not the output: the calculator emits a qualitative stranding note, and quantified pathway alignment happens downstream.
What this calculator does and does not produce
The engine surfaces the portfolio and per-property carbon intensity in kg CO₂e/m², and renders a qualitative note on whether that intensity sits above or below the relevant CRREM pathway. It does not emit a quantified stranding year, a per-property aligned/misaligned label, or a temperature score. PCAF financed-emissions accounting and CRREM stranding analysis are deliberately separated layers: PCAF tells you the carbon intensity of the financed floor area; CRREM tells you the year at which that intensity, on its current trajectory, crosses the decarbonisation pathway and the asset becomes non-compliant. Conflating them inside a financed-emissions calculator would muddy both.
Where the inventory feeds into alignment work
CRREM decarbonisation pathways
CRREM publishes asset-type-specific carbon-intensity pathways (office, retail, industrial, hotel) that decline year by year to a 2050 net-zero endpoint, calibrated to 1.5°C and 2°C trajectories. A building’s measured carbon intensity is plotted against its pathway; the year the building’s trajectory crosses the falling pathway is its stranding year. The per-property carbon intensity from this calculator is the direct input to that comparison.
Stranding-risk screening
A portfolio-level stranding screen ranks buildings by how soon they cross their CRREM pathway, prioritising retrofit capital and engagement. Buildings already above their pathway today are stranded now; buildings comfortably below have headroom. The carbon-intensity panel and per-property breakdown feed this ranking directly.
Building-performance regulation
Minimum energy-efficiency standards (MEES in the UK, comparable regimes elsewhere) set legal floors on building energy performance that tighten over time. A building’s carbon intensity is a leading indicator of regulatory stranding — failing a future standard removes the ability to let the building. The financed-emissions inventory surfaces this risk before it crystallises.
SBTi and net-zero target setting
Once the financed-emissions inventory is complete across the relevant PCAF asset classes, the SBTi Corporate Net-Zero Standard framework takes the absolute financed-emissions baseline and applies sector-decarbonisation pathways to derive a target trajectory. The SBTi Near-Term Target Calculator takes that baseline as a direct input.
The shared discipline is that the financed-emissions inventory is foundational but not sufficient. Use this calculator to produce the carbon-intensity inventory; use CRREM pathways and building-performance-regulation screens downstream to produce stranding analysis, with the per-property audit trail (carbon intensity, energy intensity, floor area, asset type) feeding the alignment workflow directly.
Related tool: The Misalignment Year this section defers downstream is only as sound as the inputs behind it, and CRREM runs two pathways of which only one responds to procurement — the CRREM misalignment year checker tests whether those inputs hold before a stranding date is put in front of a credit committee.
Audit checklist — what gets flagged in PCAF assurance
PCAF assurance under ISAE 3000 or ISAE 3410 follows a property-by-property trace from raw inputs to the rolled-up portfolio total. The findings below are the most common substantive issues reviewers raise on a commercial-real-estate book specifically — they differ from the corporate-finance audit lists because the methodological pressure points are property-level denominator construction, energy-data fidelity, and floor-area consistency rather than EVIC or book-equity composition.
01 — Current market value used as denominator
The Annex 7.4 denominator is the property value at origination, fixed for the life of the loan — not the current market value or a periodic revaluation. Using a current valuation reintroduces market-price drift into the attribution factor and breaks year-over-year comparability. Trace the denominator to the origination valuation report, not the latest valuation.
02 — Corporate emissions attributed instead of building emissions
Attributing the borrower’s whole-group corporate footprint against a single-building loan overstates the financed emissions by the ratio of the company’s total estate to the financed building. Annex 7.4 attributes the financed building’s energy only. Trace the numerator to the specific building’s metered or estimated energy, not the property company’s group inventory.
03 — Inconsistent floor-area basis across the portfolio
Mixing gross internal area (GIA) and net lettable area (NLA) across properties distorts the per-square-metre carbon intensity and makes the CRREM comparison invalid, because the pathway is defined on a specific area basis. Confirm a single floor-area basis is applied uniformly and matches the basis of the CRREM pathway used for screening.
04 — Self-assigned data quality score
A spreadsheet methodology that lets the analyst type “2” next to a property without metered kWh and a verification flag will fail the assurance trace. The calculator’s auto-derivation engine eliminates this finding by design — the input mode writes the score. Legacy migrations from spreadsheet PCAF methodologies are where this most commonly surfaces.
05 — Estimate-grade share undisclosed
Reporting a portfolio total without the estimate-grade share understates the uncertainty. Where Score 3+ positions dominate the financed-emissions weight — 62.3% in the worked example — the headline figure is driven by benchmark assumptions, and the estimate-grade share must be disclosed alongside it. The calculator surfaces a warning above the 50% threshold for this reason.
06 — Supplier-specific factor claimed without a contractual instrument
Applying a green-tariff or REGO emission factor to a building’s electricity requires a documented contractual instrument held by the property. Claiming a low supply factor without the certificate is a finding — the default is the location-based grid factor. Trace any supplier-specific factor to the underlying certificate and its covered kWh.
07 — Carbon-per-m² mode used where metered data was available
Entering a property in the lowest-fidelity carbon-per-m² mode (Score 5) when metered energy was obtainable understates data quality and forgoes the carrier split. Reviewers check whether the input mode reflects genuinely available data or analyst convenience. Use the highest-fidelity mode the available data supports.
08 — Multiple facilities on one building entered as separate properties
An institution holding several facilities secured on one building, entered as separate property rows, inflates the property count and repeats the building-emissions term across rows, corrupting the weighted data quality score. Pre-aggregate the institution’s exposure across facilities into one outstanding figure per building before entry.
Reporting context — PCAF, GHG Protocol, IFRS S2, CSRD, EBA, CRREM
Financed-emissions disclosure for commercial real estate sits across the standard financial-sector disclosure regimes, with the addition of CRREM as the real-estate-specific pathway-alignment layer. The frameworks below cover the disclosure surface a commercial-property lender or real-estate investor will typically navigate.
| Framework | Role for CRE financed emissions | Mandate scope | Disclosure cadence |
|---|---|---|---|
| PCAF Standard v2 (2024) Annex 7.4 | The methodology standard. Specifies property-value attribution, the building-energy emissions chain, data quality scoring, and the physical-intensity metric. | Voluntary methodology; adopted by 600+ financial institutions globally | Annual, aligned to the institution’s reporting cycle |
| GHG Protocol Scope 3 Standard | The accounting standard. Defines Category 15 as the line for financed emissions and cross-references PCAF as the financial-sector methodology. | Voluntary accounting standard; mandatory reference for most disclosure regimes | Same as the institution’s reporting cycle |
| IFRS S2 (ISSB) | The global disclosure baseline. Requires financed-emissions disclosure for banks and asset managers via industry guidance, including the real-estate-secured-lending portfolio. | Mandatory in jurisdictions that have adopted IFRS S2 (40+ as of 2026) | Annual, aligned with financial statements |
| CSRD ESRS E1 (EU) | The EU sustainability-reporting mandate. ESRS E1 requires Scope 3 Cat 15 disclosure for in-scope financial institutions, with a methodology pointer to PCAF, GHG Protocol, or equivalent. | Large EU and non-EU companies operating in the EU, phased from 2024 | Annual sustainability statement |
| EBA Pillar 3 ESG templates (EU banks) | The EU banking-supervision disclosure layer. Templates address financed-emissions and counterparty climate-risk exposure, including real-estate-collateral exposures and energy-efficiency distributions. | EU credit institutions in scope of CRR Article 449a | Annual, alongside Pillar 3 capital-adequacy disclosures |
| CRREM | The real-estate decarbonisation-pathway framework. Provides asset-type-specific carbon-intensity pathways against which the per-m² intensity from this calculator is screened for stranding risk. Not a financed-emissions accounting standard — a downstream alignment layer. | Voluntary industry standard; the de facto real-estate stranding-analysis reference | Used continuously for portfolio screening; reported in climate-risk disclosures |
CRREM — the real-estate-unique layer
CRREM is the only one of the six frameworks built specifically for real estate. It is not a financed-emissions accounting standard and does not replace PCAF — it sits downstream, taking the carbon-intensity output PCAF produces and screening it against decarbonisation pathways to identify stranding risk. The relationship is the same as PCAF-to-SBTi: PCAF measures the inventory, CRREM assesses whether the inventory is on a Paris-aligned trajectory. The per-property carbon intensity this calculator produces maps directly onto CRREM’s asset-type pathways, which is why the intensity panel surfaces a qualitative CRREM note. For the full standard, see the CRREM reference.
SBTi target-setting follow-on
Once the financed-emissions inventory is complete across the relevant PCAF asset classes, target setting follows. The SBTi Corporate Net-Zero Standard framework provides the validation regime for science-aligned reduction targets against the financed-emissions baseline. The SBTi Near-Term Target Calculator takes the absolute financed-emissions baseline as a direct input, and the real-estate inventory’s per-asset-type intensity breakdown feeds the sector-pathway workflow for the buildings sector specifically.
Data sources, factor versioning, and update transparency
Building emissions — source hierarchy
The calculator implements the PCAF v2 source hierarchy for building emissions: (1) metered actual energy, verified, or a verified supplier-specific certificate (Score 1); (2) metered actual energy, unverified (Score 2); (3) energy-intensity estimate from floor area and a building-type benchmark (Score 3); (4) floor area × asset-type average emissions (Score 4); (5) property value × asset-type average, or direct carbon-per-m² average (Score 5). The calculator does not maintain a centralised database of building energy; Scores 1–3 require the user to enter metered energy or an energy-intensity benchmark, and the carbon factors are applied from the MasterBrain.
Emission factors — UK-native sources
| Carrier | Source | Basis | Unit | GWP basis |
|---|---|---|---|---|
| Electricity (UK) | UK DEFRA 2025 | National grid average, location-based | kg CO₂e per kWh | AR5 GWP-100 |
| Natural gas (UK) | UK DEFRA 2025 | Gross calorific value | kg CO₂e per kWh | AR5 GWP-100 |
| Supplier-specific electricity | Property’s own contractual instrument (REGO / green tariff) | Certificate-backed, overrides grid factor | kg CO₂e per kWh (user-entered) | Per certificate |
For non-UK assets, the electricity factor is read from the grid factor set by country code, and the heating-fuel factor must be supplied by the analyst where the MasterBrain does not carry a native value for the relevant fuel and geography. A multi-jurisdiction portfolio therefore mixes MasterBrain–native UK factors with user-entered factors for other geographies; the per-property audit trail records which factor source applies to each building. The same grid factor logic underlies the Scope 2 Electricity Calculator; for the spend-based EEIO fallback used where no physical energy data exists at all, see the Scope 3 Category 1 Spend-Based Calculator.
MasterBrain versioning and update cadence
Grid and fuel factors update annually — DEFRA each June for the UK. The calculator stamps each result with the MasterBrain version against which the computation was performed, so a position computed against one vintage and the same position computed against a later vintage are distinguishable in restatement work. PCAF Standard versioning is independent of the underlying factor data — the v2 (2024) methodology applies across successive factor vintages until PCAF v3 ships.
What’s next — completing your Scope 3 Category 15 inventory
Commercial real estate is one of nine PCAF v2 asset classes. The other asset classes follow distinct attribution mechanics and each requires its own calculator.
✓ Completed
Listed Equity & Corporate Bonds
PCAF v2 Annex 7.1. EVIC denominator.
✓ Completed
Business Loans & Unlisted Equity
PCAF v2 Annex 7.2. Book-value denominator.
✓ Completed
Project Finance
PCAF v2 Annex 7.3. Project-capitalisation denominator.
✓ Completed
Commercial Real Estate
PCAF v2 Annex 7.4. Property-value attribution + per-m² intensity panel. The calculator you just used.
→ Next
Mortgages
PCAF v2 Annex 7.5. Residential loan-to-value attribution.
→ Then
Motor vehicle loans
PCAF v2 Annex 7.6. Distance-based attribution.
→ Then
Sovereign debt
PCAF v2 Annex 7.7. PPP-adjusted-GDP attribution.
→ Then
Insurance-associated & facilitated emissions
Separate PCAF Standards. Underwriting-portfolio + capital-markets attribution.
Once the financed-emissions inventory is complete across the relevant asset classes, target-setting follows. The SBTi Near-Term Target Calculator and the broader SBTi Corporate Net-Zero Standard framework take the absolute financed-emissions baseline as a direct input. The full methodological deep-dive on commercial-real-estate attribution — denominator construction, the energy-data fidelity ladder, floor-area conventions, and supplier-specific-factor treatment — is published on the paired PCAF Commercial Real Estate methodology page, and the data-quality-scoring logic shared across all PCAF asset classes is documented on the PCAF data quality score methodology page.
Frequently asked questions
The use-of-collateral qualifier. A general-purpose corporate loan to a property company — funding working capital, refinancing, or general corporate purposes — is business loans & unlisted equity (PCAF Annex 7.2), attributed against the company’s book equity plus book debt. A loan secured on a specific commercial building is commercial real estate (Annex 7.4), attributed against that building’s value at origination with that building’s energy as the emissions source. The same borrower can carry both kinds of exposure, and the calculator selection follows the security, not the borrower’s corporate identity.
Property value at origination, fixed for the life of the loan. PCAF v2 Annex 7.4 specifies the origination value deliberately — using a fixed value rather than a fluctuating current valuation isolates year-over-year change to the numerator (outstanding amount and building emissions) rather than to a moving market price. A property that appreciates does not mechanically reduce its attribution factor. If the loan refinances, the origination point resets to the refinancing and the denominator is reconstructed from the new valuation.
The building’s. The numerator is the financed property’s annual operational Scope 1 + 2 — its energy consumption — not the borrower’s corporate footprint or the tenant company’s emissions. If a property company owns fifty buildings and the institution lends against one, only that one building’s energy enters the calculation. Attributing the whole-group corporate footprint against a single-building loan is a common and material error that overstates financed emissions.
Three input modes in descending fidelity. Mode 1 (Score 1–2): metered actual energy in kWh, split into electricity and gas. Mode 2 (Score 3): an energy-intensity benchmark in kWh/m² applied to floor area, used when you have floor area but no meter data. Mode 3 (Score 5): a direct carbon-intensity figure in kg CO₂e/m² applied to floor area, used when only an asset-type carbon average is available. If you have only floor area, Mode 2 with a building-type energy-intensity benchmark is the right entry point — it produces a carrier split and a Score 3, far better than the carbon-per-m² fallback.
A documented supplier-specific certificate (REGO-backed tariff in the UK, comparable instruments elsewhere) overrides the location-based grid factor for the electricity portion of the building’s emissions. This can move a building’s carbon intensity dramatically — in the worked example, a Manchester retail park on a REGO tariff at 0.025 kg CO₂e/kWh reaches a carbon intensity of 3 kg/m², against a comparable office at 35.9 kg/m², and contributes only 1.8% of portfolio financed emissions despite the same 0.40 attribution factor. The certificate must be genuinely held by the property and document the covered kWh; claiming a low supply factor without it is an assurance finding.
No — it attributes operational emissions, the energy a building consumes in use, which is the correct and complete scope for a standing-investment loan on an existing building. Embodied carbon — the construction emissions locked into the building — is a sunk historical emission, not an annual flow. Financing the construction of a new building is project finance (Annex 7.3), where construction-phase embodied carbon enters as a one-off reported figure; once complete, the building converts to operational-only commercial-real-estate attribution. Whole-life carbon disclosure (per BS EN 15978) is a complementary reporting layer, not part of the operational financed-emissions figure.
Because it is the metric that maps directly onto CRREM decarbonisation pathways for stranding screening. CRREM publishes asset-type-specific carbon-intensity pathways (office, retail, industrial, hotel) that decline to a 2050 net-zero endpoint; a building’s measured kg CO₂e/m² is plotted against its pathway, and the year its trajectory crosses the falling pathway is its stranding year. Carbon intensity is also directly responsive to the two levers a lender can influence — energy efficiency and supply decarbonisation — and to building-performance regulation. This is why real estate uses a physical intensity rather than the revenue-based WACI that corporate-finance asset classes rely on, and why this calculator does not compute WACI.
No — it produces the carbon-intensity inventory that CRREM screening consumes, and renders a qualitative stranding note, but not a quantified stranding year or a per-property aligned/misaligned label. PCAF financed-emissions accounting and CRREM stranding analysis are deliberately separated layers: PCAF tells you the carbon intensity of the financed floor area; CRREM tells you the year that intensity crosses its decarbonisation pathway. Use this calculator to produce the intensity; use the CRREM pathways downstream to produce the stranding analysis, with the per-property audit trail feeding that workflow directly.
Economic intensity (tCO₂e per £M invested) is live only for a single-currency portfolio. A mixed-currency book suppresses it, because dividing a tCO₂e total by a sum of non-comparable currency amounts is not meaningful. In the worked example the metric reads 8.34 tCO₂e/£M precisely because the entire portfolio is denominated in GBP. To restore it on a multi-currency book, convert all amounts to a single reporting currency before entry and document the FX rate and date used.
The calculator surfaces a warning when positions at Score 3 or worse — benchmark estimates rather than metered data — account for more than 50% of financed emissions. In the worked example, the Score 3 warehouse and the Score 5 Leeds estate together carry 62.3% of financed emissions, so the warning fires and the weighted data quality score is 3.28 (benchmark-estimate-leaning). The disclosure implication is that the headline total is driven more by benchmark assumptions than by measured data, and the estimate-grade share should be reported alongside it. The upgrade path is to obtain metered energy for the dominant estimate-grade positions.
The electricity factor is read from the grid factor set by country code, so any country the MasterBrain covers is handled automatically for the electricity portion. The heating-fuel factor (gas or other) must be supplied by the analyst where the MasterBrain does not carry a native value for that fuel and geography. The all-UK worked example needed no user-entered fuel factor because both the grid and the gas factor are UK-native; a multi-jurisdiction portfolio mixes native factors with user-entered ones, and the per-property audit trail records which source applies to each building.
Commercial real estate is typically higher quality at the individual-building level, because commercial buildings are increasingly metered and EPC-certified, and individual positions are large enough to justify data collection. Mortgages (Annex 7.5) tend to be benchmark-estimated at scale — household metered data is rarely held by the lender, so dwelling-type averages and EPC data dominate across large pooled books. Both are property-secured and share the property-value attribution mechanic, but commercial real estate offers more per-building decarbonisation levers observable directly on the lender’s book.
Methodology notes and limitations
Methodology version. Calculator implements PCAF Global GHG Accounting and Reporting Standard for the Financial Industry v2 (December 2024), Annex 7.4 (Commercial Real Estate). Inventories computed under earlier versions (PCAF 2020) remain auditable against the corresponding methodology version stamp; institutions transitioning to v2 should re-run their portfolio and document the version transition.
Asset-class boundary. Commercial real estate only — lending secured on, or direct investment in, commercial property. General-purpose corporate lending to a property company uses the book-value denominator and belongs in the Business Loans & Unlisted Equity Calculator. Listed property companies and REITs use the EVIC denominator and belong in the Listed Equity & Corporate Bonds Calculator. New-build construction on a project-recourse basis belongs in the Project Finance Calculator. Residential mortgages, motor-vehicle loans, sovereign exposures, and insurance-associated emissions all have separate attribution mechanics and are out of scope for this tool.
Operational scope. The calculator attributes operational building emissions (Scope 1 + 2) only. Embodied carbon, tenant-controlled Scope 3, and whole-life carbon are out of scope for the operational financed-emissions figure; the embodied-carbon pulse of a new building is accounted at construction in the project-finance asset class.
Building-emissions sourcing. The calculator does not maintain a centralised database of building energy. Score 1–3 positions require the user to enter metered energy or an energy-intensity benchmark; the carbon factors are applied from the MasterBrain (electricity and gas) or from a user-entered supplier-specific certificate. The calculator takes the entered energy and floor area at face value.
Denominator taken as published. The calculator uses the property value at origination the user enters; it does not independently compute it from a valuation report. The user is responsible for confirming the input is the origination value (not a current revaluation), is property-level (not corporate-level), and is constructed consistently across the portfolio.
Floor-area consistency. The per-square-metre intensity metrics are only meaningful if floor area is recorded on a consistent basis (GIA or NLA) across the portfolio and matches the basis of any CRREM pathway used for screening. The calculator does not enforce a basis; the user must apply one uniformly.
No FX conversion. Outstanding amounts, property values, and the resulting economic-intensity metric must use a consistent reporting currency. The calculator does not perform FX conversion, and suppresses the economic-intensity metric on a mixed-currency book. Convert before entry; document the FX rate and date used.
Data quality score is auto-derived. The user provides inputs (metered energy and verification status, an energy-intensity benchmark, or a carbon/asset-type average); the calculator writes the score per PCAF v2’s scoring rules. Self-assignment is not supported by design — this is a deliberate constraint to satisfy PCAF v2 assurance procedures.
CRREM screening is qualitative here. The calculator renders a qualitative CRREM stranding note based on the portfolio carbon intensity; it does not emit a quantified stranding year, a per-property aligned/misaligned label, or a temperature score. Quantified CRREM pathway alignment is downstream work — see the CRREM standard reference.
No assurance opinion. Results produced by this calculator are estimates. They do not constitute a PCAF assurance opinion and should be reviewed by a qualified financed-emissions practitioner before use in regulatory submissions, IFRS S2 disclosures, CSRD ESRS E1 datapoints, EBA Pillar 3 ESG templates, or SBTi target filings. For an assurance-grade output, the per-property audit trail (attribution factor, denominator basis, energy-input mode, factor source, score derivation, floor-area basis) should be exported and reconciled against primary source documents on a position-by-position basis. The full methodological deep-dive is published on the paired PCAF Commercial Real Estate methodology page, with the shared scoring logic on the PCAF data quality score methodology page.