Parameters to be collected daily:
{
"device_id": "string",
"timestamp": "datetime",
"electricity_consumption_mwh": "float", // Amount of electricity used (MWh)
"thermal_efficiency": "float", // Efficiency of the device (fraction)
"energy_use_for_cooking_tj": "float" // Energy used for cooking (TJ)
}
Parameters to be collected statically or that are not updated frequently:
{
"device_id": "string",
"installation_date": "datetime",
"device_type": "string", // Type of device (e.g., electric stove)
"rated_efficiency": "float", // Rated efficiency of the device (fraction)
"baseline_device_type": "string", // Type of baseline device (e.g., three-stone fire)
"baseline_fuel_type": "string", // Type of baseline fuel (e.g., wood)
"baseline_energy_consumption_mj_per_meal": "float", // Baseline energy consumption (MJ/meal/person)
"project_energy_consumption_mj_per_meal": "float" // Project energy consumption (MJ/meal/person)
}
Additional parameters collected less frequently:
{
"baseline_emission_factor": "float", // Baseline emissions factor (tCO2e/TJ)
"non_renewability_status": "float", // Non-renewability status of biomass fuel (fraction)
"net_calorific_value_baseline_fuel": "float", // Net calorific value of baseline fuel (TJ/tonne)
"emission_factor_baseline_fuel": "float", // Emission factor of baseline fuel (tCO2e/tonne)
"efficiency_baseline_devices": "float", // Efficiency of baseline devices (fraction)
"grid_emission_factor": "float", // Emissions factor of the electricity system (tCO2e/MWh)
"transmission_distribution_losses": "float", // Transmission and distribution losses (fraction)
"last_updated": "datetime" // Timestamp of the last update
}
Formula: [ BE_y = \sum \left( EG_{p,d,y} \times \frac{SC_b}{SC_p} \times 0.0036 \times EF_{b,input} \right) ]
Calculation Steps:
- Convert electricity consumption to useful energy in TJ: [ EG_{p,d,y} = \text{electricity_consumption_mwh} \times 0.0036 ]
- Calculate baseline emissions: [ BE_y = \sum \left( EG_{p,d,y} \times \frac{baseline_energy_consumption_mj_per_meal}{project_energy_consumption_mj_per_meal} \times EF_{b,input} \right) ]
Formula: [ PE_y = \sum \left( EG_{p,d,y} \times EF_{el,y} \times (1 + TDL_{j,y}) \right) ]
Calculation Steps:
- Convert electricity consumption to useful energy in TJ: [ EG_{p,d,y} = \text{electricity_consumption_mwh} \times 0.0036 ]
- Calculate project emissions: [ PE_y = \sum \left( EG_{p,d,y} \times grid_emission_factor \times (1 + transmission_distribution_losses) \right) ]
Formula: [ ER_y = BE_y - PE_y - LE_y ]
Calculation Steps:
- Calculate emission reductions: [ ER_y = BE_y - PE_y ]
- Include leakage emissions if applicable: [ ER_y = BE_y - PE_y - LE_y ]
Monitoring Report Schema:
{
"report_id": "string",
"monitoring_period_start": "datetime",
"monitoring_period_end": "datetime",
"devices": [
{
"device_id": "string",
"installation_date": "datetime",
"electricity_consumption_mwh": "float",
"thermal_efficiency": "float",
"energy_use_for_cooking_tj": "float",
"baseline_emission_factor": "float",
"project_emission_factor": "float",
"baseline_emissions": "float",
"project_emissions": "float",
"emission_reductions": "float"
}
],
"aggregated_totals": {
"total_devices": "integer",
"total_baseline_emissions": "float",
"total_project_emissions": "float",
"total_emission_reductions": "float"
}
}
Assumptions:
- Daily MRV collected data for 30 days for a single device.
- Aggregated monthly data for simplicity.
Device Data Example:
{
"device_id": "device123",
"installation_date": "2024-01-01T00:00:00Z",
"electricity_consumption_mwh": 0.6789,
"thermal_efficiency": 0.9235,
"energy_use_for_cooking_tj": 0.00245, // Derived from daily data
"baseline_emission_factor": 93.75,
"project_emission_factor": 0.412,
"baseline_emissions": 1.554,
"project_emissions": 0.3088,
"emission_reductions": 1.2452
}
Aggregated Totals Example:
{
"total_devices": 100,
"total_baseline_emissions": 155.4,
"total_project_emissions": 30.88,
"total_emission_reductions": 124.52
}
Specific energy consumption approach
Daily MRV data
Static Parameters Schema (not updated daily, but may be updated periodically)
Calculate daily emission reductions for each device
Where:
P_b,i,j, EF_b,i,CO2, fNRB_i,y, EF_b,i,non-CO2, and NCV_b,i are taken from the "baseline_device_fuel_mix" array in the static parameters schema.
Where:
u_j is the "percentage" and SC_b,j is derived from the "amount" divided by (pph × days in monitoring period) for each fuel type in the "baseline_device_fuel_mix" array.
Where:
EG_p,d,y is from the daily MRV data, and other parameters are from the static parameters schema.
Where:
EG_p,d,y is from the daily MRV data, and EF_el,y and TDL_j,y are from the static parameters schema.
ER_y = BE_y - PE_y