Framework
Framework
Digital MRV - End-to-End Data Captured
Digital MRV - End-to-End Data Captured
REpow’s Digital MRV system is designed to capture, monitor, report, and verify data across the full biomass value chain, from agricultural fields to renewable power generation.
The system ensures traceability, data integrity, and auditability, enabling credible ESG reporting, carbon accounting, and regulatory compliance.
To verify biomass origin, avoid double counting, and quantify environmental and social impact at source.
A. Land & Farmer Identification
Farmer ID / Community Enterprise ID
GPS coordinates of field parcels
Field size (rai)
Crop type (rice, sugarcane, cassava, etc.)
Harvest season and crop cycle
B. Biomass Availability
Estimated residue generation (tons/rai)
Actual biomass collected (tons, fresh weight)
Collection date and time
Collection method (manual / baler / mechanized)
C. Environmental Baseline
Historical practice (open burning / removal / plough-back)
Baseline emissions assumption
Soil condition (qualitative / periodic sampling)
D. Social & Economic Data
Price paid to farmer (THB/ton)
Payment confirmation (date, method)
Number of participating households
Web & Mobile app data entry with GPS + timestamp
Photo evidence at collection point
Random field audits and spot checks
To validate first aggregation, volume accuracy, and prevent leakage or loss.
A. Inbound Biomass
Source field ID(s)
Biomass type
Gross weight (tons)
Moisture content (%)
Delivery date and time
B. Storage Management
Storage location / batch ID
Storage duration (days)
Inventory balance (opening / closing stock)
Losses (if any)
C. Quality Control
Visual contamination check
Moisture re-measurement
Bale integrity / size
D. Outbound Logistics
Destination
Tambon (Sub District) compost plant
Amphur (District) central warehouse
Truck ID and driver
Net dispatched weight
Dispatch date and time
Digital weighbridge records
Batch-level tracking
Inventory reconciliation
Periodic physical audits
To verify material conversion, mass balance, and circular-economy outcomes.
A. Input Feedstock
Biomass input by type (tons)
Manure input by type (tons)
Input source IDs (warehouse / farm)
Moisture content and C:N ratio
B. Composting Process
Windrow batch ID
Temperature profile (time series)
Turning frequency
Retention time (days)
Water usage
C. Output & Yield
Finished compost output (tons)
Yield ratio (%)
Quality parameters (N-P-K, organic matter)
Batch certification status
D. Distribution
Buyer / farmer recipient ID
Quantity delivered
Price / subsidy (if any)
Application area (rai)
Mass-balance reconciliation (input vs output)
Batch-level traceability
Laboratory test records
Third-party sampling (periodic)
To ensure fuel security and seasonal buffering for power plants.
Aggregated inventory levels
Storage duration and turnover
Moisture evolution during storage
Fuel blending ratios
Dispatch readiness status
Inventory audits
Moisture and loss benchmarks
To link physical biomass consumption to electricity generation and climate impact.
A. Fuel Consumption
Biomass input by batch (tons)
Biomass type mix (%)
Moisture and LHV
Daily and monthly fuel consumption
B. Power Generation
Electricity generated (MWh)
Net export to grid / direct PPA
Plant availability (%)
Heat recovery (if applicable)
C. Emissions & By-Products
Fossil fuel displacement factor
CO₂ emissions avoided (tCO₂e)
Ash generation (tons)
Ash utilization or disposal route
D. Operational Performance
Boiler efficiency
Auxiliary power consumption
Unplanned downtime
SCADA-linked data feeds
Monthly reconciliation with PPA meters
Independent technical audits
To support ESG reporting, carbon monetization, and regulatory compliance.
Open-burning avoidance (by location and season)
GHG emissions reduction (tCO₂e)
PM₂.₅ reduction proxies
Energy substitution factors
Carbon credit eligibility metrics
Methodology-aligned calculations
Third-party verification readiness
Audit trails for every data point
Single source of truth
Role-based access control
Immutable records and audit trails
Separation of data entry and verification
Central cloud platform
Investor and auditor dashboards
Periodic internal and external audits
This Digital MRV framework delivers:
Credible feedstock traceability
Audit-ready ESG and carbon data
Reduced operational and reputational risk
Eligibility for blended finance and carbon revenue
Scalable replication across provinces
REpow’s Digital MRV system transforms a complex, community-based biomass supply chain into a transparent, verifiable, and bankable infrastructure platform.
By measuring, reporting, and verifying data at every step—from field to warehouse, composting, and power generation—the platform provides the confidence institutional investors require to deploy capital at scale.