Tag: Developer Reference

The RCP requires 12 data points per job. In practice, some of those data points will be unavailable — particularly for historical jobs being calculated retrospectively, or for field situations where documentation wasn’t captured as completely as the standard requires. The proxy estimation methodology provides documented substitution methods that produce defensible, auditor-acceptable estimates when primary data is missing.

Key principle: A documented estimate with a stated assumption is always preferable to a blank field in an RCP report. ESG auditors understand that emissions calculation involves uncertainty — what they require is transparency about where estimation was used and what the basis of that estimation was. Undocumented guesses are not acceptable. Documented proxies are.

Data Quality Tiers

The RCP uses three data quality tiers, consistent with GHG Protocol Scope 3 guidance:

Proxy Methods by Data Point

Data Point 1 — Vehicle Mileage (Transportation)

Primary source: GPS fleet tracking data, dispatch records, driver logs.

Proxy method: Use Google Maps or equivalent mapping tool to calculate round-trip distance from your facility (or prior job address for multi-stop days) to the job site. Multiply by the number of crew trips documented in time records or invoices. This is a Tier 2 estimate.

Default proxy (Tier 3, last resort): Industry average mobilization distance for restoration contractors is 22 miles one-way (44 miles round trip). Apply this default only when no address or routing information is available. Note as Tier 3 estimate in data quality section.

Data Point 2 — Waste Transport Mileage

Primary source: Waste manifests and hauler receipts (these typically include origin and destination).

Proxy method: Use the distance from the job site to the nearest licensed disposal facility of the appropriate type (standard C&D landfill, licensed ACM facility, medical waste facility). Use online waste facility directories (EPA RCRA Info for hazmat, state environmental agency databases for C&D landfills) to identify the nearest appropriate facility.

Default proxies by facility type (Tier 3): Standard C&D landfill: 18 miles. Licensed ACM facility: 60 miles. Licensed PCB incineration: 150 miles. Medical waste facility: 55 miles.

Data Point 3 — Equipment Power Source

Primary source: Job documentation noting whether equipment ran on building power or contractor generator; generator fuel logs.

Proxy method: Default assumption is building electrical supply unless your company policy or the job type (remote location, building power unavailable) indicates otherwise. Note the assumption explicitly. If generator use is suspected but not documented, use the following generator fuel proxy: standard drying equipment setup (3 dehumidifiers + 6 air movers) consuming approximately 2.5 gallons of diesel per 8-hour shift × number of drying days × 10.21 kg CO2e per gallon diesel.

Data Points 4–5 — Chemical Treatments and PPE Consumption

Application rate proxies by job type and surface type:

Data Point 6 — Containment Materials

Proxy method: Standard containment for a single affected room (standard ceiling height 8–10 ft): perimeter of affected area (linear feet) × ceiling height × 1.2 (overlap factor) = m² of poly sheeting. For compartmentalized commercial spaces, add 20 m² per additional doorway or penetration point.

Zipper doors: 1 per entry/exit point, typically 2 per contained area (entry + equipment pass-through).

Data Points 7–8 — Waste Volume and Disposal

Volume proxy: Use weight estimation proxies from the RCP Emission Factor Reference Table (drywall at 2.5 lbs/sq ft, carpet at 3.0 lbs/sq ft, etc.) applied to the demolished area documented in job scope records.

Disposal method proxy: If disposal facility type is unknown, apply default based on material type: standard C&D for non-contaminated demolition debris, regulated C&D or hazmat for contaminated materials (see Table 3 in the Emission Factor Reference).

Data Points 9–10 — Demolished and Installed Materials

Proxy method: Calculate from demolition scope records (affected area by room, material type documented in scope of work or Xactimate/Symbility estimate). Weight estimation proxies apply as above. For installed materials in reconstruction phase, use square footage from scope-of-work documentation and apply standard weight proxies.

Documenting Proxy Use in Your RCP Report

Every proxy estimate must be documented in the data quality section of the per-job carbon report. The format for documenting a proxy is: [Data point name]: [Tier 2 or 3 estimate]. [Brief description of proxy method]. [Source of proxy rate or assumption].

Example: “Vehicle mileage: Tier 2 estimate. Round-trip distance calculated using Google Maps from company facility to job site address (44 miles RT × 4 crew trips). Crew trip count from job invoices. Source: RCP proxy method P-4-1.”

Example: “PPE consumption: Tier 2 estimate. Cat 3 water damage standard consumption rate applied (2.0 Tyvek/tech/day, 5 glove pairs/tech/day) per RCP Table A-5. Actual PPE not tracked separately on this job.”

This reference table consolidates all emission factors used in Restoration Carbon Protocol calculations. It is the lookup document you use when completing a per-job carbon report — every factor needed for Categories 1, 4, 5, and 12 across all five job types is in this table, with source citations for audit purposes.

Version: RCP v1.0 | Factor vintage: EPA 2024, DEFRA 2024, EPA WARM v16 | Units: All values in kg CO2e unless noted as tCO2e

Table 1: Category 4 — Vehicle Transportation

Table 2: Category 1 — Materials

Chemical Treatments

Personal Protective Equipment

Containment and Filtration

Table 3: Category 5 — Waste Disposal

Table 4: Category 12 — Demolished Building Materials

Weight Estimation Proxies

When disposal receipts are not available, use these weight proxies to estimate demolished material tonnage:

Table 6: Refrigerant GWP Values — IPCC AR6 Update

The Global Warming Potential values for refrigerants used in restoration drying equipment have been updated under IPCC Sixth Assessment Report (AR6, 2021). AR6 GWP-100 values are 14–18% higher than AR5 for the HFCs commonly found in LGR dehumidifiers. RCP v1.0 uses AR6 values for refrigerant-related calculations. The EPA AIM Act continues to use AR4 values for regulatory compliance; UNFCCC/Paris reporting uses AR5. When delivering data to clients, disclose which GWP vintage was used.

Source: IPCC AR6 WG1, Chapter 7, Table 7.SM.7 (2021). EPA Technology Transitions GWP Reference Table.

Table 7: EPA eGRID 2023 — Subregional Emission Factors for Major Restoration Markets

The national average grid factor (0.3497 kg CO₂e/kWh, eGRID 2023) used as the RCP default understates or overstates electricity emissions significantly depending on where equipment is operated. Using location-specific subregion factors improves data quality for clients in GRESB, SBTi, and CSRD reporting contexts.

Use the subregion factor for the state/metro where the job was performed, not where the contractor’s facility is located.

Source: EPA eGRID2023 Summary Tables Rev 2 (published March 2025). Full subregion table available at epa.gov/egrid. A California restoration contractor using the national average overstates electricity emissions by 44%; a Florida contractor understates by 1.7%. The difference is largest for multi-week jobs with sustained equipment energy consumption.

Table 8: PPE and Consumables — LCA-Sourced Per-Unit Emission Factors

The EPA EEIO proxies in Table 2 are sector-level estimates. The following values are sourced from published lifecycle assessments and Environmental Product Declarations for specific product types. Use these in place of the EEIO values where the product type matches.

Note on Tyvek: DuPont has not published an independent lifecycle assessment for standard Tyvek 400 coveralls. The value above is estimated from HDPE production emission factors. DuPont has commissioned an LCA for Tyvek 500 Xpert BioCircle (a recycled-content variant) claiming 58% reduction versus standard Tyvek, which implies a quantified baseline exists internally. The RCP will update this value if DuPont publishes the underlying LCA data.

Note on nylon carpet (DEFRA 2024): The DEFRA 2024 value of 5.40 kg CO₂e/kg for nylon carpet should be verified against the actual DEFRA 2024 full spreadsheet to confirm whether this represents virgin nylon production or a closed-loop recycling scenario. DEFRA 2024 uses AR5 GWP values throughout.

Factor Vintage and GWP Basis: Version Disclosure

RCP v1.0 uses the following factor vintages:

• Electricity: EPA eGRID 2023 (published March 2025)
• Mobile combustion / vehicle fuels: EPA 2025 Emission Factors Hub
• Waste disposal: EPA WARM v16
• Refrigerant GWPs: IPCC AR6 (2021)
• Materials (non-EEIO): ICE Database v3.0, EPD-sourced, DEFRA 2024
• Materials (EEIO proxy): EPA USEEIO v2.0
• GWP basis: AR6 GWP-100 for refrigerants; AR5 GWP-100 for all other gases (consistent with EPA GHG Inventory basis)

When factors are updated in patch releases, the factor vintage table updates accordingly. All RCP Job Carbon Reports should reference the schema_version field (RCP-JCR-1.0) which implicitly references the factor table version used at calculation time. For year-over-year comparisons, use the same factor vintage across both years unless a major correction justifies restating prior-year figures.

The restoration industry is developing two parallel knowledge infrastructure plays simultaneously, and they are more complementary than they might appear at first.

KnowHow — the AI-powered operational knowledge platform — solves the internal problem: capturing what your best people know, making it accessible to every team member, and ensuring institutional knowledge doesn’t walk out the door when someone leaves. It makes your operational playbook consistent, scalable, and resilient to turnover.

The Restoration Carbon Protocol solves the external problem: structuring your operational data — specifically the emissions data generated by your work — in a format that commercial clients can use in their ESG disclosures. It makes your environmental footprint visible, consistent, and credible to institutional clients who need it for their own reporting obligations.

Where the Two Stacks Connect

The connection point is job documentation. KnowHow helps your crew follow consistent protocols — which means the data generated during a job (materials used, waste generated, work performed) is more consistent and reliably captured. That consistency directly benefits RCP data quality. When crews follow a KnowHow-documented protocol for Category 3 water damage mitigation, the resulting data consistency makes the RCP calculation for that job more reliable.

In the other direction: RCP creates external accountability for the quality of your internal processes. When you’re producing per-job carbon reports for commercial clients that may be reviewed by ESG auditors, the incentive to maintain rigorous job documentation increases. External reporting requirements are one of the most effective drivers of internal data discipline.

The Two-Layer Architecture

Layer 1 — Internal (KnowHow): Operational SOPs, job protocols, training materials, quality standards. Purpose: consistent execution, scalable training, knowledge retention. Audience: your team. Knowledge stays inside your organization.

Layer 2 — External (RCP): Per-job carbon data, client-facing reports, ESG vendor profiles, methodology documentation. Purpose: commercial client ESG compliance, preferred vendor status, market differentiation. Audience: commercial clients, their auditors, government contracting officers. Knowledge flows outward in structured, client-usable form.

Neither layer replaces the other. A contractor with excellent internal processes (Layer 1) but no external reporting capability (Layer 2) has a good operation that commercial clients can’t verify. A contractor with RCP reporting capability (Layer 2) but inconsistent internal processes (Layer 1) has credibility problems — the external reports may not reflect consistent underlying reality. The competitive position that’s hard to replicate is both layers, built deliberately, operating together.

The RCP Job Carbon Report is the output document restoration contractors provide to commercial clients for their Scope 3 ESG disclosures. It is designed to be completed at job close-out using data captured during the job — not reconstructed after the fact, not requiring an external consultant. The template below defines each field and provides example values from a Category 2, Class 3 water damage job at a commercial office building.

Section 1: Job Identification

Contractor name | Job ID | Client name | Property address | Job type | Damage classification | Affected area (sq ft) | Job start date | Job completion date | Reporting standard: “Restoration Carbon Protocol v1.0, GHG Protocol Corporate Value Chain Standard”

Example: Acme Restoration LLC | JOB-2026-04847 | Westfield Properties Inc. | 1200 Commerce Blvd, Sacramento CA | Water Damage Mitigation | Category 2, Class 3 | 2,400 sq ft | 2026-03-14 | 2026-03-22

Section 2: Emissions Summary

Total Job Emissions: 1.84 tCO2e | Category 1 (Materials): 0.09 tCO2e | Category 4 (Transportation): 0.89 tCO2e | Category 5 (Waste): 0.70 tCO2e | Category 12 (Demolished materials): 0.16 tCO2e

Section 3: Category 4 — Transportation Calculation

2 light trucks × 47 mi round trip × 4 trips = 376 vehicle-miles → 376 × 0.503 kg CO2e/mi = 189 kg CO2e
1 equipment trailer × 47 mi × 2 trips = 94 vehicle-miles → 94 × 1.612 kg CO2e/mi = 151 kg CO2e
1 dump truck to landfill × 22 mi × 1 trip → 22 × 2.25 kg CO2e/mi = 50 kg CO2e
Equipment power source: building electrical supply (Scope 2 — not included)
Category 4 Subtotal: 390 kg CO2e = 0.39 tCO2e

Section 4: Category 1 — Materials Calculation

Antimicrobial treatment: 12 liters × 2.8 kg CO2e/liter = 34 kg CO2e
Disposable PPE (18 Tyvek, 36 glove pairs, 24 N95): estimated 45 kg CO2e (standard rate Cat 2)
Containment materials: 40m poly sheeting → 40 × 0.22 kg CO2e/m = 9 kg CO2e
Category 1 Subtotal: 88 kg CO2e = 0.09 tCO2e

Section 5: Category 5 — Waste Calculation

C&D debris (wet drywall, flooring): 1.8 tons → 1.8 × 0.16 tCO2e/ton = 0.29 tCO2e
Disposable PPE and consumables: 0.08 tons → 0.08 × 0.25 tCO2e/ton = 0.02 tCO2e
Contaminated water: 0 liters (Cat 2, extracted water discharged to building drain — property owner’s municipal utility)
Category 5 Subtotal: 0.31 tCO2e

Section 6: Category 12 — Demolished Materials

Wet drywall removed: 1.0 ton → 1.0 × 0.16 tCO2e/ton = 0.16 tCO2e
Category 12 Subtotal: 0.16 tCO2e

Section 7: Data Quality Notes

PPE consumption estimated from standard consumption rate for Category 2, Class 3 commercial job (RCP Table 3A) — actual units not tracked separately on this job. Vehicle mileage from dispatch records. Waste weight from disposal facility receipt dated 2026-03-22. All other data points from primary job records.

Machine-Readable Format: The RCP JSON Record

The PDF or document version of the Job Carbon Report serves the human reader — the ESG manager reviewing vendor data. The machine-readable version serves the system — the ESG platform, the portfolio carbon database, the GRESB submission tool. Both are valid RCP delivery formats. For commercial clients aggregating data across dozens of contractors and hundreds of jobs per year, JSON is strongly preferred.

The RCP Job Carbon Report JSON schema (RCP-JCR-1.0) is published at tygartmedia.com/rcp-json-schema-v1-machine-readable-standard/. The schema defines every field name, data type, and valid value. Contractors who want to deliver RCP data digitally should produce JSON that validates against that schema.

The minimum JSON record for the example job above looks like this — it maps exactly to the seven sections of the document template:

{
  "schema_version": "RCP-JCR-1.0",
  "job_identification": {
    "contractor_name": "Acme Restoration LLC",
    "job_id": "JOB-2026-04847",
    "client_name": "Westfield Properties Inc.",
    "property_address": { "street": "1200 Commerce Blvd", "city": "Sacramento", "state": "CA", "zip": "95814" },
    "job_type": "water_damage",
    "damage_category": "2",
    "damage_class": "3",
    "affected_area_sqft": 2400,
    "job_start_date": "2026-03-14",
    "job_completion_date": "2026-03-22",
    "reporting_standard": "Restoration Carbon Protocol v1.0, GHG Protocol Corporate Value Chain Standard",
    "egrid_subregion": "WECC"
  },
  "emissions_summary": {
    "total_job_emissions_tco2e": 1.84,
    "category_1_materials_tco2e": 0.09,
    "category_4_transportation_tco2e": 0.89,
    "category_5_waste_tco2e": 0.70,
    "category_12_demolished_materials_tco2e": 0.16
  },
  "data_quality": {
    "preparer_name": "Jane Smith",
    "preparer_date": "2026-03-22",
    "primary_data_points": ["waste_weight_manifest"],
    "proxy_data_points": ["vehicle_mileage_estimated", "ppe_consumption_standard_rate"],
    "notes": "Vehicle mileage from dispatch records. PPE from standard Cat 2/Class 3 rate."
  }
}

How Commercial Clients Receive and Use RCP Data

Understanding how the receiving end processes RCP data helps contractors format and time their delivery correctly. The workflow differs by client type:

GRESB-reporting clients aggregate contractor Scope 3 data annually for their GRESB Real Estate Assessment submission (typically due in July). They need all vendor data by May or June for the prior calendar year. For these clients, RCP records should be delivered at job close-out and stored — don’t wait for the client to request them. The GRESB-ready delivery format is either a structured CSV with standardized column headers or JSON records that their ESG platform (Measurabl, Deepki, Yardi Elevate, Atrius, or similar) ingests directly.

CDP Supply Chain program participants send annual questionnaires to their suppliers requesting Scope 3 data. Restoration contractors who receive a CDP Supply Chain questionnaire from a commercial client should be able to pull RCP records for all jobs at that client’s properties during the reporting period and aggregate them into a single portfolio total.

California SB 253 reporters (companies with California revenues over $1 billion) must report Scope 3 for their 2026 emissions in 2027. Their data collection process is just now being built. Contractors who can deliver machine-readable RCP records position themselves as low-friction vendors in a procurement process that is about to become more carbon-data-intensive.

LEED O+M certified properties may request contractor emissions data as part of their LEED for Operations and Maintenance documentation. The RCP Job Carbon Report maps directly to the third-party contractor energy and emissions data section of the LEED O+M credit requirements.

Delivery Timing and Retention Requirements

The RCP recommends the following delivery and retention standards for Job Carbon Reports:

• Delivery timing: Within 30 days of job close-out for standard commercial losses. Within 14 days for jobs over $100,000 in scope where the client has indicated ESG reporting needs.
• Record retention: Contractors should retain all source data (job logs, manifests, GPS records) for a minimum of seven years. ESG disclosures may be subject to third-party verification up to five years after initial reporting.
• Versioning: If a Job Carbon Report is corrected after initial delivery (e.g., a waste manifest weight is updated), issue a revised report with a version increment and note documenting what changed and why.
• Format: Both PDF and JSON formats are valid. JSON is preferred for clients using ESG data management platforms. Contractors who cannot produce JSON should at minimum deliver a structured CSV using the RCP field names from the schema.

The most common objection restoration contractors raise to Scope 3 emissions reporting is that it requires tracking data they don’t have. In most cases, the data exists — it’s just not being retained in a form usable for emissions calculation. The RCP 12-point standard formalizes what every job ticket should contain.

Group 1: Transportation Data (Category 4)

Data point 1 — Vehicle log: For each vehicle used (crew vehicles, equipment trailers, pack-out trucks, heavy equipment), record vehicle type, number of round trips to the job site, and round-trip mileage. Source: dispatch records, GPS fleet data, or driver logs.

Data point 2 — Waste transport log: Separately from crew/equipment transportation, record vehicle type, trips, and mileage for all waste hauling — to landfills, transfer stations, hazmat facilities, or wastewater treatment facilities. Often omitted from job documentation when waste hauling is subcontracted, but emissions belong to the job regardless.

Data point 3 — Equipment power source: Document whether drying/filtration/processing equipment operated on building electrical supply or contractor-supplied generators. If generators, record fuel type and quantity consumed. Determines whether equipment energy is Scope 2 (building electricity, property owner) or included in contractor’s Scope 3 calculation.

Group 2: Materials Data (Category 1)

Data point 4 — Chemical treatments log: Volume of each chemical product applied: antimicrobials (liters by product type), biocides, encapsulants, deodorizing compounds, wetting agents. Can be estimated from square footage and application rate if purchase records are not job-specific.

Data point 5 — PPE consumption log: Units of disposable PPE consumed: Tyvek suits, gloves (pairs), N95/P100 respirators, boot covers, eye protection. Can be reconstructed from supply orders or estimated from job duration and crew size using standard consumption rates.

Data point 6 — Containment materials log: Meters of polyethylene sheeting, number of zipper doors installed, HEPA filter media units replaced. Primarily relevant for mold remediation, hazmat abatement, and Category 3 water damage.

Group 3: Waste Data (Category 5)

Data point 7 — Debris volume by waste category: Weight or volume by category: standard C&D debris (tons), regulated hazardous materials (tons by type), contaminated water (liters or gallons). Source: disposal facility receipts, dumpster manifests, or tank/extractor volume logs.

Data point 8 — Disposal method and facility: For each waste category, record the disposal facility used and disposal method (landfill, recycling, hazmat incineration, wastewater treatment). Facility name is sufficient — national average emission factors apply where facility-specific factors are unavailable.

Group 4: Demolished Materials (Category 12) and Context

Data point 9 — Demolished materials log by type: Weight of each building material type removed: drywall (tons), flooring by type, insulation by type (tons), wood framing (tons). Source: demolition scope documentation, dumpster weight receipts.

Data point 10 — Installed replacement materials (reconstruction only): Weight of new building materials installed if reconstruction is within the contractor’s scope. Available from purchase orders or materials delivery receipts.

Data point 11 — Job classification: Job type, damage category/class, affected area in square feet, building construction type (pre/post-1980 for hazmat assumptions).

Data point 12 — Job timeline: Start date, completion date, client property identifier. Assigns emissions to the correct reporting year and property for portfolio-level Scope 3 inventory.

What Good vs. Poor Data Capture Looks Like for Each Data Point

The difference between an RCP record that passes third-party verification and one that gets flagged is almost always documentation quality, not calculation complexity. The following examples show what each data point looks like when captured well versus when it is reconstructed or estimated poorly.

Data Point 1 — Vehicle Log

Good: Fleet GPS system exports a trip report showing: Vehicle ID TRK-04, diesel Sprinter, 3 round trips to 1200 Commerce Blvd Sacramento, 47.2 miles per round trip, 141.6 total miles. Timestamps confirm trips align with job dates.

Poor: “We sent two trucks, probably drove about 50 miles each way a few times.” No vehicle types, no trip count, no documentation. Requires complete reconstruction from memory — high uncertainty, won’t survive audit review.

Data Point 2 — Waste Transport Log

Good: Disposal facility receipt showing: Sacramento County Transfer Station, 2026-03-22, 1.8 short tons C&D debris received, facility address 8 miles from job site. Haul vehicle identified as dump truck (diesel).

Poor: Subcontractor handled debris removal, no manifest obtained. Waste weight unknown. RCP proxy required: estimate from affected square footage using 0.75 lbs/sqft standard C&D rate. Flag as proxy in data quality section.

Data Point 3 — Equipment Power Source

Good: Job notes confirm equipment operated on building electrical service, Circuit 14 in mechanical room. Tenant confirmed access in writing. No generator deployed. Equipment energy excluded from contractor’s Category 4 (attributed to building owner’s Scope 2).

Poor: Unknown whether generator was used. If generator use is unconfirmed, RCP default is to assume building power and exclude from contractor calculation, noting the assumption in data quality notes.

Data Point 4 — Chemical Treatments Log

Good: Field technician log: 12 liters Benefect Botanical Disinfectant applied across 2,400 sqft per IICRC protocol. Product lot number recorded. Purchase receipt available.

Poor: “We used some antimicrobial, not sure how much.” Apply RCP proxy: 0.005 liters per sqft for Category 2 commercial job = 12 liters estimated. Flag as proxy. Note product type unknown — use default antimicrobial emission factor.

Data Point 5 — PPE Consumption Log

Good: Supply requisition for this job: 18 Tyvek suits, 36 glove pairs, 24 N95 respirators, 12 pairs boot covers. Matched against job crew size (3 techs × 6 days).

Poor: No PPE tracking by job. Use RCP standard consumption rate: Category 2, Class 3, 3-tech crew × 6 days = 18 Tyvek, 36 gloves, 24 N95 (standard table). Flag as proxy rate.

Data Point 6 — Containment Materials Log

Good: Pre-job setup photo documentation shows poly sheeting perimeter. Close-out notes: 40 linear meters 6-mil poly, 2 zipper doors, 4 HEPA filter replacements during job.

Poor: No containment used — Category 1 water loss, no containment required. Record as zero, not as missing data. Explicitly noting why a field is zero is different from leaving it blank.

Data Point 7 — Debris Volume by Waste Category

Good: Dumpster manifest: 1.5 tons drywall debris + 0.3 tons flooring debris = 1.8 tons total C&D. Weight confirmed by disposal facility ticket.

Poor: No manifest. Estimate from demolition scope: 180 sqft drywall removed (½” = 2.2 lbs/sqft × 180 = 396 lbs = 0.20 tons), 80 sqft carpet removed (carpet weight 0.75 lbs/sqft × 80 = 60 lbs). Total proxy: 0.26 tons. Flag as estimated — significantly lower than manifest weight if heavier debris present.

Data Point 8 — Disposal Method and Facility

Good: All C&D debris → Sacramento County Transfer Station (municipal landfill). Hazmat materials → none (Category 1, no regulated waste). Water extraction discharged to building drain per property manager approval.

Poor: “Trash went to the dump.” Technically usable — national average landfill emission factor applies. But facility name enables verification and future use of facility-specific factors when available.

Data Point 9 — Demolished Materials Log by Type

Good: Demolition scope from job file: 180 sqft drywall (½” standard) = 900 kg, 80 sqft nylon carpet = 180 kg. Source: field measurement records and material weight lookup table.

Poor: Dumpster load size only — “one dumpster full.” Apply proxy: standard 10-yard dumpster ≈ 1.5 tons mixed C&D. No material type breakdown available. Use mixed C&D emission factor, flag as proxy.

Data Point 10 — Installed Replacement Materials

Good: Purchase orders from supplier: 180 sqft drywall delivered (36 sheets ½” × 4×8 = 36 × 26 kg = 936 kg), 80 sqft carpet (1 roll = 200 kg). Reconstruction within contractor scope confirmed in job contract.

Poor: Reconstruction handled by property owner’s GC — outside contractor scope. Record as “reconstruction out of scope” with note. Do not estimate — these are the owner’s Category 1 emissions, not the contractor’s.

Data Point 11 — Job Classification

Good: Job type: water_damage. Damage category: 2. Damage class: 3. Affected area: 2,400 sqft. Building type: commercial office, post-1980 construction (no asbestos assumed per local building records). Classification documented at initial assessment.

Poor: Job type recorded, damage category/class not assessed or not recorded. Without class, equipment calculation defaults to Class 2 proxy — may significantly understate or overstate actual equipment deployment. Always classify at initial assessment.

Data Point 12 — Job Timeline

Good: Job start: 2026-03-14 (initial response). Job completion: 2026-03-22 (final moisture readings, equipment pickup, client sign-off). Emissions attributed to Q1 2026 reporting period for client’s ESG inventory.

Poor: Only month recorded. For portfolio-level ESG reporting, commercial clients need the ability to assign job emissions to specific reporting quarters and fiscal years. Date precision to the day is required.

How Each Data Point Maps to the Emissions Calculation

The following table makes the calculation pipeline explicit. Each data point feeds one or more specific emission factor applications. Software developers implementing RCP should treat this as the calculation dependency map.

Building Data Capture Into Your Job Management Workflow

The most reliable RCP implementations don’t ask techs to fill out extra forms — they build data capture into the existing job workflow. Three integration points cover most of the 12 data points without adding steps:

At job setup (Data Points 3, 11, 12): Job classification, power source determination, and start date are all known at mobilization. These should be required fields in the job creation screen of any job management system.

At daily monitoring check-in (Data Points 1, 3): GPS fleet data or odometer entry captures vehicle mileage passively. Equipment runtime hours accumulate between setup and retrieval timestamps already recorded in the system.

At job close-out (Data Points 2, 4, 5, 6, 7, 8, 9, 10, 12): The close-out checklist is the natural capture point for waste manifests, material quantities, PPE counts, and completion date. Adding RCP fields to the close-out checklist is the single highest-impact implementation step.

Platforms that implement close-out checklist capture for RCP data — Encircle, PSA, Dash, and Xcelerate among them — can produce a complete 12-point RCP record as a byproduct of normal job documentation. No additional technician training is required beyond knowing what the fields mean.