Open Carbon Protocol Handbook
  • Welcome to the Open Carbon Protocol
  • The OCP Process Overview
  • Back to the OCP
  • GOVERNANCE
    • OCP Governance Structure
      • OCP Board
    • Conflict of Interest
    • Annual Audit Process
    • Stakeholder Engagement & Complaints
    • Business Model & Financial Transparency
    • OCP Sustainability: Environmental and Social Strategy
    • KYB & Anti-Money Laundering Policy
    • Anti-Bribery and Corruption Policy
  • METHODOLOGIES
    • Methodology Development, Feedback & Approval
      • Underlying Credit Value & Uncertainty
      • Methodology Demo Videos
      • OCP Methodology Requirements
    • The Expert Community
  • PROJECTS
    • Project Proposal Flow
      • Project Proposal and Validation Demo Videos
    • Third-Party Validation
      • MRV: Monitoring, Reporting and Verification
    • Safeguards, Co-Benefits & SDGs
    • Mitigating Project Risk: Insurance and Buffer Pool
  • REGISTRY
    • The OCP Registry Infrastructure
      • Opening and Closing an Account
    • Credit Issuance Flow
      • Retirement Information
    • No Double Counting
    • Registry Information
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  1. PROJECTS
  2. Third-Party Validation

MRV: Monitoring, Reporting and Verification

  • During the Project Proposal, the Project Developer schedules' monitor/issuance' dates throughout the project time frame (can be more frequent than annual) and specifies who is responsible for collecting monitored data: dMRV partner(s) or internal measurement.

  • On the 'monitor/issuance' date, data is requested from dMRV providers (ideally via API, but it can be manual) and inputted into the equation provided by the methodology.

  • If dMRV has already been validated, data is internally duly assessed, and credits are automatically issued.

  • If the data comes from the PD, we re-verify the data using the evidence they provide.

Digital MRV (dMRV)

  • We encourage all project developers to use digital monitoring & reporting techniques in their project design (where possible) to ensure the highest degree of data accuracy and transparency.

  • We're exploring how direct data streams from digital measurement sources (e.g. satellites or sensors) can be pre-verified during the project validation stage, and then credit issuance can be automated as true impact data is received via API.

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Last updated 21 days ago