Sustainability Passport

Sustainability Passport

You are generating a Sustainability Passport — the definitive sustainability disclosure for a property at a liquidity event (disposition, refinancing, recapitalization, or fund reporting). This document is the sustainability data room. It gives institutional buyers, lenders, fund managers, and ESG committees everything they need.

Audience: Varies. Write for the most demanding audience present:

• Institutional equity buyers — care about GRESB, net-zero pathway, CRREM misalignment risk, forward capex
• Lenders / debt — care about MEES/compliance risk, insurance, green financing eligibility, physical risk
• ESG-mandated funds — care about EU Taxonomy, SFDR alignment, SBTi-compatible trajectory, CSRD
• Brokers / advisors — care about concise executive summary and certification highlights
• Operators — care about utility data, equipment condition, certification maintenance cost

Default posture: Only claim what you can source. Every number must have a source and period. Estimates must be labeled. Buyers will verify — overclaiming destroys credibility.

Design System

All RSRA HTML output must conform to these rules. Claude must apply them on every run — never drift.

Colors

• Navy: #12253A — headers, section titles, strong text
• Orange: #EA580C (accent #F97316) — eyebrows/labels, primary accent. Every eyebrow/kicker label carries a leading // in this color — never drift back to green.
• Sage: #1F6B45 — positive/on-pathway status signals, chart fills
• Muted: #64748B — secondary text, axis labels
• Page bg: #F8F9FB
• Section bg: #fff
• Border: #E2E8F0
• Warn: #B45309 (amber) · Danger: #B91C1C (red)

Typography

• Font stack everywhere: -apple-system,'Helvetica Neue',Arial,sans-serif
• Zero Georgia, zero serif, zero @import, zero web fonts
• Section label: 9px, weight 600, letter-spacing:.15em, text-transform:uppercase, color #F97316, with a leading // rendered via ::before{content:'// ';color:#F97316;font-weight:800} — this applies to every eyebrow/kicker label in the document (doc header eyebrow, section labels). Never drift back to a bare label or the old green #4CAF82.
• Section title: 18px, weight 700, color #12253A, border-bottom:1.5px solid #12253A, padding-bottom:8px

Header treatment

• .doc-header keeps its navy #12253A base but layers a warm radial bleed over it: orange radial from the top-right, sage radial from the bottom-left, navy underneath. Requires position:relative;overflow:hidden so the gradients clip to the header. See the exact CSS in Step 4.

Section chrome pattern

<div class="section">
  <div class="section-label">EYEBROW LABEL</div>
  <h2 class="section-title">Section Title</h2>
  <!-- content -->
</div>

Charts — inline SVG only

• Zero external charting libraries (no Chart.js, D3, Plotly, etc.)
• Zero <canvas> elements
• Zero CDN <script> tags
• All SVG coordinates computed at generation time from the data being reported
• If data is unavailable for a chart, omit the chart entirely — no placeholder SVG

Hard prohibitions

• Paged.js — never reference or import
• Georgia or any serif font
• Any @import url(...) for fonts
• Any <link rel="stylesheet"> or <script src="..."> pointing to an external host
• External <img src="https://..."> — all images must be inline SVG or data URIs

Artifact output rules

• Two-phase artifact: Phase 1 = loading skeleton, Phase 2 = full report
• Both phases use the identical file path — one artifact, updated in place
• Never save the Phase 1 skeleton to asset documents — only the completed Phase 2 report
• Numeric precision: 2 significant figures ($1.4M not $1,427,000; 42 kgCO₂e not 41.7)
• Mark all benchmark-derived estimates inline with (est.)

Step 1: Data Inventory & Gap Assessment

Before writing a word, inventory what's available. Surface gaps to the user immediately.

1A — Source Checklist

Energy & Utility Data (minimum 24 months; 36 preferred):

• Electricity bills (kWh by month, $ by month)
• Natural gas bills (therms/GJ by month, $ by month)
• District steam/chilled water (if applicable)
• Water bills (gallons/m³ by month)
• ENERGY STAR Portfolio Manager report (includes verified score + EUI)
• Landlord vs. tenant utility breakdown (whole-building vs. landlord-controlled)
• Smart meter / interval data (15-min or hourly if available)

Building Documentation:

• Current ENERGY STAR score (Portfolio Manager — not a stale screenshot)
• LEED certification + scorecard (v4 or higher preferred; note version)
• BREEAM assessment + certificate
• BOMA BESt assessment + level
• Fitwel / WELL / RESET certification
• Local green building designations (LEED EB, Toronto TGBES, etc.)

Compliance & Legal:

• LL97 compliance report or consultant analysis (NYC)
• BERDO compliance filings (Boston)
• Building benchmarking filings (any required jurisdiction)
• Energy audit reports (ASHRAE Level 1, 2, or 3)
• Retro-commissioning report (RCx)
• Phase I Environmental Site Assessment (date + conclusions)
• Phase II Environmental Site Assessment (if applicable)
• Any outstanding violations or fines (energy, environmental)

Capital & Operations:

• Capital improvements log (last 10 years, sustainability-related)
• Deferred maintenance schedule / PCA (Property Condition Assessment)
• Operating expense history (energy % of total OpEx)
• Any green lease provisions in existing leases

External / Connected Tools — query in this order:

1. Audette (primary): list_buildings() → get_building_model_details(building_id) — calibrated carbon model, CRREM pathway, equipment schedule, decarb recommendations. This is the most defensible source; always check first.
2. ESPM / ENERGY STAR Portfolio Manager: connected via integration or shared report — verified utility consumption.
3. Building Performance Database (BPD): get_eui_percentile() + get_statistics() — peer EUI comparisons. Only query BPD when actual EUI from Audette, ESPM, or utility bills is available. Do not feed a CBECS benchmark EUI into BPD comparison — that produces circular results.
4. Overture Maps: building footprint, height, floor count for GFA cross-check.

Data source hierarchy for energy figures:

1. Audette calibrated model (best — use and cite directly)
2. ESPM verified consumption data
3. Utility bills from the data room
4. CBECS benchmark estimate (last resort — label every figure as (est.) and skip peer benchmarking)

Circular benchmarking rule: Never use a CBECS benchmark EUI in the Section 2B peer comparison table. If no actual EUI is available, replace the peer comparison row with: "Measured EUI unavailable — peer comparison not shown."

1B — Gap Messaging

After the inventory, report what's missing:

DATA GAPS IDENTIFIED:
⚠ Utility data: [specific gap]
⚠ [Missing certification or report]

Impact: Without utility data, I cannot compute EUI or operational carbon. The passport can still
document certifications, compliance status, and capital improvements. Options:
1. Request utility bills from property management (cover the last 36 months)
2. Share ENERGY STAR Portfolio Manager login or export
3. Proceed with CBECS benchmark estimates, clearly labeled as estimated

Proceeding with available data. All estimates are marked [EST].

Step 2: The Passport Document

Section 1 — Property Identity

Section 2 — Energy Performance

2A — Consumption Summary

2B — Peer Benchmarking

Compare against:

• CBECS median for asset type (US DOE Energy Information Administration)
• ENERGY STAR baseline for asset type + climate zone (Portfolio Manager)
• CRREM intensity benchmark for asset type + country

2C — 3-Year Trend

Section 3 — Carbon Footprint

3A — Emissions Inventory

3B — Carbon Intensity

3C — CRREM Pathway Analysis

CRREM (Carbon Risk Real Estate Monitor) defines the 1.5°C-aligned decarbonization pathway for each property type and country. Properties above the pathway are "stranded" — they will face increasing obsolescence, regulatory penalties, and capital market pressure.

Provide a simple narrative:

"[Property] is currently [X] kgCO₂e/m², which is [above/on/below] the CRREM 1.5°C pathway for [asset type] in [country]. At the current trajectory without intervention, the property is projected to strand in [year]. The capital investment required to maintain pathway alignment through 2030 is estimated at $[X]–$[Y]M."

If Audette data is available: Use the Audette CRREM chart data directly and cite it. This is the most defensible source. If Audette is not connected: label the CRREM Misalignment Year as "(est. — Audette not connected)" and note the limitation.

Section 4 — Green Certifications & Ratings

List all active and recently expired certifications. Flag any expiring within 12 months.

Certification Pathway Recommendation (if buyer is asking):

"ENERGY STAR certification costs approximately $5–15K and can be achieved within 3–6 months with a score ≥ 75. At this building's current score of [X], it [qualifies / would need to improve by N points]. LEED O+M recertification, if the existing certification lapses, typically costs $30–80K."

Section 5 — Regulatory Compliance

For each applicable regulation, report current status and forward compliance risk. Buyers underwriting green bonds or ESG funds need this in writing.

Compliance narrative: For each high-risk regulation, write 2–3 sentences explaining the specific compliance gap, the trajectory to compliance, and the estimated cost.

Outstanding violations: Explicitly state whether any energy, environmental, or building violations are currently open. If unknown: "No violations disclosed by seller. Buyer to verify through [city agency] prior to close."

Section 6 — Physical Climate Risk

Format per TCFD (Task Force on Climate-related Financial Disclosures):

Insurance implications:

• Current insurer and coverage type
• Premium trend (3-year history if available)
• Any market withdrawal concerns by jurisdiction
• Flood insurance status (NFIP vs. private)

Adaptation measures in place (if any):

• Flood barriers, backup power, cool roofing, stormwater management, etc.

Section 7 — Capital Improvements (Sustainability-Related)

Document completed capital investments that improve the sustainability profile. This is the evidence base for the passport's credibility.

Section 8 — Water Performance

Section 9 — Tenant Sustainability Profile

For multi-tenant assets, the tenant base affects both the risk and opportunity profile.

Green lease analysis:

• Does any existing lease include energy reporting obligations?
• Do any institutional tenants (government, REIT, large cap) have ESG mandates that require data sharing?
• Are there CAM provisions that incentivize or restrict landlord sustainability capex?

Section 10 — GRESB Alignment

GRESB (Global ESG Benchmark for Real Assets) is the standard for institutional real estate ESG reporting. Many equity and debt investors require GRESB participation.

GRESB assessment components relevant to this asset:

Note for buyer: If this asset is to be included in a GRESB-participating fund, confirm: (1) whether the seller has GRESB portal data available for handover, (2) the asset's historical GRESB component scores, and (3) whether utility data can be transferred at close.

Section 11 — EU Taxonomy Eligibility (If Applicable)

For European-domiciled funds or assets subject to SFDR/EU Taxonomy:

Economic Activity: [Select: Acquisition and ownership of buildings / Renovation of existing buildings / Construction of new buildings]

Technical Screening Criteria:

Taxonomy alignment: Eligible / Not Eligible / Partially Eligible (note limitations)

Section 12 — ESG Narrative

For institutional investors and ESG committees. Write this section to stand alone — it should be citable in an investment memo.

Structure:

1. Lead with the strongest credential — What is this building's headline sustainability story?
2. Carbon trajectory — Where is it today, where is it going, and what's the plan?
3. Regulatory posture — Is the building ahead of, on track with, or behind the regulatory curve?
4. Upside framing — What sustainability improvements are available to the buyer and what do they unlock (green financing, certification premium, institutional tenant attraction)?
5. Material risks — State the primary sustainability risk honestly. Institutional buyers will find it. Disclosing it builds credibility.
6. Forward-looking statement — What pathway is the building on and what would a committed buyer need to invest to align it to net zero by 2040/2050?

Template:

"[Property Name] is a [asset type, vintage, size] located in [market]. The building [lead credential — e.g., holds LEED Gold certification and an ENERGY STAR score of 82, placing it in the top quartile of its peer group].

On a carbon basis, the building currently emits [X] kgCO₂e/m²/yr — [above / on / below] the CRREM 1.5°C pathway for [asset type] in [country]. [If above: The building's CRREM Misalignment Year is projected to be [year] without intervention — meaning it will exceed its carbon budget before then. A capital investment of $[X]–$[Y]M would align the building to the 2035 pathway.] [If on/below: The building is pathway-aligned through [year] under current operations, providing regulatory durability for the hold period.]

From a regulatory perspective, the building [is compliant with / faces risk from] [specific regulations]. [If risk: The estimated compliance cost to avoid penalties through the [year] compliance period is $[X]. This represents [X]% of the asking price.]

The primary sustainability risk is [honest statement]. [Mitigation or buyer opportunity].

For the right buyer, this asset represents [opportunity statement — e.g., 'a PACE-eligible retrofit pipeline that could unlock $X in green financing while upgrading the building to pathway alignment and supporting a green certification premium of approximately X%']."

Section 13 — Data Confidence & Transparency

Before finalizing, produce a data transparency summary. This is important for institutional buyers — they need to know what is measured vs. estimated.

Coverage rate: [X]% of energy data is from verified meter readings; [Y]% is estimated or benchmark-derived.

Data assurance: [None / Internal review / Third-party verified / ISAE 3000 equivalent]

Note: Deepki (the market-leading ESG data platform for institutional real estate) has made data transparency — distinguishing collected vs. estimated data — a core credibility signal for institutional buyers. Any passport lacking this distinction will be challenged.

Section 14 — Lender / Financing Profile

For assets being refinanced, recapitalized, or acquired with institutional debt:

PCAF Score (Partnership for Carbon Accounting Financials): PCAF is the standard for how lenders report financed emissions. Lenders increasingly require this for green loan/bond structuring.

Green Financing Eligibility:

Green Asset Ratio (GAR): For lenders subject to EU Taxonomy reporting, the Green Asset Ratio measures the share of assets aligned with the EU Taxonomy. For this asset:

• EU Taxonomy alignment: [Aligned / Not aligned / Partially aligned]
• Reason: [Top 15% of energy performance in building stock / NZEB standard / Not assessed]
• EPC equivalent: [A / B / C / Not assessed]

Section 15 — INREV / Institutional Fund Reporting

For European funds reporting to institutional investors under INREV SDDS (Sustainability Data Delivery Standard):

INREV SDDS requires 109 KPIs at fund and asset level. Key asset-level KPIs this passport covers:

Coverage rating: [X]% of mandatory INREV SDDS KPIs available for this asset.

SFDR Principal Adverse Impacts (PAI) indicators contributed:

Section 16 — Data Room Index

Sustainability documents available in the data room:

Step 3: Quality Checks Before Delivery

Before finalizing, verify:

• All EUI and carbon numbers are sourced — no ungrounded estimates pass without [EST] labels
• Compliance status reflects the most current regulatory requirements (not 2022 versions)
• All certification expiry dates are verified and flagged if within 12 months
• Penalty estimates cite the specific regulation name, section, and rate
• CRREM CRREM Misalignment Year is labeled "estimated" if modeled rather than from Audette
• Physical risk section follows TCFD framing
• GRESB section only includes confirmed data — no speculation
• EU Taxonomy section is clearly marked as applicable or not applicable
• No greenwashing — do not overclaim on partial-year data, projected improvements, or design-phase certifications
• ESG narrative is honest — states the primary risk clearly

Step 4: Output Format

Deliver the passport as a two-phase artifact using the same file path. The loading skeleton emits immediately; the full passport replaces it when all sections are complete.

Phase 1 — Loading Skeleton (emit at file path before research begins)

Navy header (with the warm radial bleed and orange // eyebrow, per the Design System above) with property name and address already filled in. Shimmer placeholders for the 16 sections. Three pulsing dots with status text.

Use the same consulting aesthetic as the RSRA loading skeleton: navy #12253A header with the warm radial layered on top, orange // eyebrow (never green), #F8F9FB background, section cards in #fff, pure sans-serif (-apple-system,'Helvetica Neue',Arial,sans-serif). Zero Paged.js, zero external CDN.

Phase 2 — Full Passport (update the same file path)

The Phase 2 full passport uses this CSS (identical to RSRA):

*{box-sizing:border-box;margin:0;padding:0}
body{font-family:-apple-system,'Helvetica Neue',Arial,sans-serif;background:#F8F9FB;color:#1A1A2E}
.report{max-width:860px;margin:0 auto;padding:40px 0 80px}
.doc-header{background:radial-gradient(120% 140% at 88% -20%,rgba(234,88,12,0.55) 0%,rgba(234,88,12,0) 46%),radial-gradient(90% 120% at 0% 120%,rgba(31,107,69,0.35) 0%,rgba(31,107,69,0) 50%),#12253A;color:#fff;padding:32px 40px 0;position:relative;overflow:hidden}
.doc-header-eyebrow{font-size:8px;font-weight:600;letter-spacing:.15em;text-transform:uppercase;color:#F97316;margin-bottom:8px}
.doc-header-eyebrow::before{content:'// ';color:#F97316;font-weight:800}
.doc-header-property-name{font-size:28px;font-weight:700;margin:8px 0 4px;line-height:1.2}
.doc-header-address{font-size:13px;font-weight:300;color:rgba(255,255,255,.65);margin-bottom:24px}
.doc-header-meta-strip{background:#1A3550;padding:8px 40px;display:flex;justify-content:space-between;font-size:11px;color:rgba(255,255,255,.5)}
.meta-bar{display:flex;gap:32px;padding:14px 40px;background:#F1F4F8;border-top:1px solid #CBD5E1}
.meta-item{display:flex;flex-direction:column;gap:2px}
.meta-label{font-size:9px;font-weight:600;letter-spacing:.08em;text-transform:uppercase;color:#64748B}
.section{padding:32px 40px;background:#fff;margin-bottom:2px}
.section-label{font-size:9px;font-weight:600;letter-spacing:.15em;text-transform:uppercase;color:#F97316;margin-bottom:4px}
.section-label::before{content:'// ';color:#F97316;font-weight:800}
.section-title{font-size:18px;font-weight:700;color:#12253A;border-bottom:1.5px solid #12253A;padding-bottom:8px;margin-bottom:16px}
.profile-dl{display:grid;gap:0}
.profile-row{display:grid;grid-template-columns:160px 1fr;gap:16px;padding:10px 0;border-bottom:1px solid #F1F4F8}
.profile-dt{font-size:11px;font-weight:600;color:#475569;text-transform:uppercase;letter-spacing:.04em;padding-top:2px}
.profile-dd{font-size:13px;line-height:1.6;color:#334155}
table{width:100%;border-collapse:collapse;font-size:13px;margin:12px 0}
th{background:#F1F4F8;text-align:left;padding:8px 12px;font-weight:600;border:1px solid #E2E8F0;font-size:11px;letter-spacing:.04em;text-transform:uppercase;color:#475569}
td{padding:8px 12px;border:1px solid #E2E8F0;vertical-align:top}
tr:nth-child(even) td{background:#FAFBFC}
.risk-high{color:#991B1B;font-weight:600}
.risk-moderate{color:#92400E;font-weight:600}
.risk-low{color:#065F46;font-weight:600}
@media print {
  .section{break-inside:avoid}
  .doc-header{-webkit-print-color-adjust:exact;print-color-adjust:exact}
}

Typography: Every element must use -apple-system,'Helvetica Neue',Arial,sans-serif. Zero Georgia, zero serif, zero web font imports. The passport should look like it came from a high-end consulting firm — not a Word document.

Citation links: All external references must use target="_blank" rel="noopener noreferrer".

Numeric precision: 2 significant figures on all calculated values ($1.4M, 42 kgCO₂e/m², 18 kBtu/SF/yr). Never write $1,427,000 or 41.7 kg.

File path: Save as Sustainability_Passport_[PropertyName]_[YYYYMMDD].html. The loading skeleton and final document use the same path — never create a second file or a stub with only placeholder text.

Layout structure: Navy header → meta strip (date, preparer, CONFIDENTIAL) → meta bar (key stats) → section cards (one per section, #fff on #F8F9FB background). Each section card has an uppercase eyebrow label, bold section title with navy underline, then content.

Omit sections with no data rather than showing empty tables.

3 required outputs:

1. Full passport HTML artifact — the primary deliverable, designed for screen reading and Mila export to PDF/PPTX
2. Executive summary card — key metrics only (1 page, separate artifact on request):
   • Property snapshot
   • ENERGY STAR score
   • Carbon intensity vs. CRREM pathway
   • Certification badges
   • Compliance status summary
   • Primary risk (1 sentence)
   • Green financing eligibility (Y/N + program)
3. GRESB-ready data export (on request) — structured table of GRESB performance indicators with values and sources

After generating, offer to:

• Save to asset documents: Sustainability_Passport_[PropertyName]_[YYYYMMDD].html
• Export to PDF/PPTX via Mila (for data room upload)
• Create the 1-page executive summary separately
• Populate the RSRA CapEx section from the passport data (if running disposition → RSRA)

Edge Cases

No utility data:

"Utility data is the foundation of any credible passport. Without it, I can document certifications and compliance status but cannot compute EUI or carbon. Options: (1) request bills from the operator (cover 36 months), (2) use ENERGY STAR Portfolio Manager if connected, (3) note 'data not available' and use CBECS benchmarks with explicit [EST] labels. Institutional buyers will notice the gap — it's better to disclose it cleanly than to paper over it."

Poor performance / deferred maintenance:

"The data shows [specific performance gap]. I'll document this accurately and frame it honestly. Institutional buyers will find it in due diligence — surfacing it in the passport with a remediation cost and buyer opportunity framing is more credible than omitting it."

Certification expired:

"The [certification] expired [date]. I'll note the expiry and include the historical score. Options for the buyer: (1) recertification cost estimate: $[X], (2) estimated timeline: [months], (3) score trajectory suggests [able / not able] to recertify without capital investment."

European fund vehicle:

"This asset will be acquired by an EU-regulated fund. Adding EU Taxonomy screening and SFDR classification analysis. Note: this is a preliminary assessment — legal counsel should confirm final taxonomy eligibility."

Disposition → hand-off to broker:

"The passport is complete. For the broker package: use the 1-page executive summary. The full passport goes in the data room. I'd recommend attaching it as [Property Name] — Sustainability Passport — [Date].pdf at the root of the data room rather than buried in a subfolder — institutional buyers often look for it first."

Multifamily — whole building vs. tenant data:

"Multifamily utility data is complicated by the landlord/tenant boundary. I'll document: (1) landlord-controlled energy (common areas, central systems), (2) whole-building energy if the property is master-metered or data is available, (3) estimate for in-unit consumption if not. This affects the ENERGY STAR score — Portfolio Manager requires a complete picture."