Component Blueprint Library

Component blueprints are reusable templates of equations and inputs that calculate a transfer of CO₂e into or out of the atmosphere. They represent small discrete parts of carbon accounting that can be combined like building blocks to create custom and rigorous accounting for GHG entries, GHG statements and entire projects. This page provides an overview of all component blueprints.

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Component Types

Component blueprints are labelled with a Type. The type represents a carbon accounting category and flux direction, either CO₂e sequestered or emitted.

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Inputs, Quantity Kind and Compatible Units

Each component blueprint has inputs: the datapoints you need to provide for its calculation. Each input is a numerically measurable property, which is called the Quantity Kind. For example: mass, volume, concentration or density. An input can accept different units as long as they are compatible with its quantity kind. For transparency, data should be reported with the same value and units as shown in your attached sources. Components handle unit transformations automatically. Some inputs take lists of values, for example a set of soil samples. In this case, each value in a list input must be compatible with the input’s quantity kind. The output of the component calculation is always a mass of CO₂e (with the Quantity Kind mass_carbon). This is typically in units of either kgCO₂e or tCO₂e.

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Fixed and Monitored inputs

Component inputs can either be fixed or monitored values:

• Fixed inputs: are defined once in an LCA template and reused in each GHG entry. These are typically emission factors, standard ratios or intrinsic measurements of a material with low variability.
• Monitored inputs: are provided as new datapoints with each GHG entry. These are measurements that vary during a project’s operation, such as masses of a specific product batch, transport leg distances, volumes of fuel or material characteristics that have higher variability.

Fixed inputs should be entered in the LCA Builder. They will then be automatically applied for GHG entries created either in Certify, or via the API if the GHG entry template is included in the API request.

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Activity Component Blueprints

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Aggregated sample transport

key: aggregated_sample_transport tags: Transportation Constant aggregated emissions, related to transporting sample material. Calculations $\text{result} = aggregated\_sample\_transport$ Monitored inputs

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Area-based emissions

key: area_based_emissions tags: Embodied emissions Energy use Emissions based on multiplying an area by its carbon emission factor. Applicable to quantifying emissions from standardized processes applied to a project area. Calculations $\text{result} = area \times emission\_factor$ Fixed inputs Monitored inputs

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Constant emissions

key: constant_activity_emissions Emissions based on a constant value. Calculations $\text{result} = constant\_activity\_emissions$ Monitored inputs

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Count-based emissions

key: count_based_emissions Emissions based on multiplying a per-instance emission value by a count of the number of instances. Applicable to projects using a number of items where the per-item emissions are known, or a number of recurring events where the per-event emissions are known. Calculations $\text{result} = emissions\_per\_count \times count$ Monitored inputs

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Currency-based CI emissions

key: currency_based_ci_emissions tags: Embodied emissions Emissions based on multiplying a currency by a carbon emission factor. Applicable to quantifying embodied emissions or emissions related to services when data of higher quality cannot be sourced. Calculations $\text{result} = amount\_spent \times carbon\_intensity$ Fixed inputs Monitored inputs

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Distance-based emissions

key: distance_based_ci_emissions tags: Transportation Emissions based on multiplying a distance by a carbon emission factor. Applicable to quantifying transportation emissions when only the distance traveled is known, this is acceptable for transportation by passenger car or airplane. Calculations $\text{result} = distance \times carbon\_intensity$ Fixed inputs Monitored inputs

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Electricity use emissions with low-carbon procurement

key: grid_electricity_use_with_recs tags: Electricity Energy use Emissions related to electric energy use, using market-based accounting for procurement of low-carbon power. Calculations $\text{result} = grid\_emissions + procured\_power\_emissions$

Show breakdown

$\text{grid\_emissions} = net\_grid\_electricity\_use \times grid\_carbon\_intensity$

$\text{net\_grid\_electricity\_use} = grid\_electricity\_use - procured\_power\_electricity\_use$

$\text{procured\_power\_emissions} = procured\_power\_electricity\_use \times procured\_power\_carbon\_intensity$

Fixed inputs Monitored inputs

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Electricity-ratio based emissions

key: electricity_ratio_based_emissions tags: Electricity Energy use Calculates emissions based on an amount of electricity used per unit feedstock mass. Applicable to quantifying electricity emissions when electricity consumption is derived from an efficiency, such as the amount of electricity consumed by a piece of equipment per tonne of feedstock processed. Calculations $\text{result} = mass\_feedstock \times energy \times carbon\_intensity$ Fixed inputs Monitored inputs

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Embodied emissions

key: embodied_emissions tags: Embodied emissions Constant embodied emissions. Applicable to embodied emissions reported as a single value, for example in the case where emissions are evidenced by an Environmental Product Declaration. Calculations $\text{result} = embodied\_emissions$ Monitored inputs

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Energy-based CI emissions

key: energy_based_ci_emissions tags: Electricity Energy use Emissions based on multiplying an energy by its carbon emission factor. If more specific information is known regarding the fuel or electricity consumed use other component blueprints that are more accurate. Calculations $\text{result} = energy \times carbon\_intensity$ Fixed inputs Monitored inputs

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Fuel consumption based transport emissions

key: fuel_consumption_based_transport tags: Transportation Emissions related to transporting a load, based on a fuel-consumption method. Applicable to quantifying transportation emissions when the volume of fuel consumed is derived from a vehicle efficiency. If the volume of fuel has been measured, use the component blueprints ‘Fuel usage by mass’ or ‘Fuel usage by volume’. Calculations $\text{result} = \frac{distance \times fuel\_carbon\_intensity}{fuel\_economy}$ Fixed inputs Monitored inputs

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Fuel usage by area

key: fuel_usage_by_area tags: Energy use Fuel Calculates emissions based on consumption of a volume of fuel per unit area, multiplied by the total area. Applicable, for example, to spreading of a feedstock, carbon-rich product or site preparation. Calculations $\text{result} = volume\_fuel\_per\_area \times emission\_factor \times area$ Fixed inputs Monitored inputs

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Fuel usage by distance emissions, accounting for BCU claims

key: distance_based_transport_bcu tags: Transportation Emissions based on a distance traveled for a specific journey, accounting for BCU claims. Calculations $\text{result} = fuel\_usage\_accountable\_emissions + bcu\_fuel\_usage\_emissions$

Show breakdown

$\text{fuel\_usage\_accountable\_emissions} = fuel\_combustion\_carbon\_intensity \times \left(distance \times mass \times \frac{emission\_factor\_transport}{fuel\_combustion\_carbon\_intensity} - subtractable\_mass\_of\_bcu\_fuel\right)$

$\text{subtractable\_mass\_of\_bcu\_fuel} = mass\_of\_bcu\_fuel \times \frac{energy\_density\_bcu\_fuel}{energy\_density\_fuel\_used}$

$\text{bcu\_fuel\_usage\_emissions} = bcu\_fuel\_combustion\_carbon\_intensity \times mass\_of\_bcu\_fuel$

Fixed inputs Monitored inputs

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Fuel usage by mass emissions

key: fuel_usage_by_mass tags: Energy use Fuel Transportation Emissions based on multiplying a fuel mass by the carbon emission factor of combustion. Calculations $\text{result} = mass\_of\_fuel \times fuel\_combustion\_carbon\_intensity$ Fixed inputs Monitored inputs

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Fuel usage by mass emissions, accounting for BCU claims

key: fuel_usage_by_mass_bcu tags: Energy use Fuel Transportation Emissions based on a mass of fuel used for a journey, accounting for BCU claims. Calculations $\text{result} = fuel\_usage\_accountable\_emissions + bcu\_fuel\_usage\_emissions$

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$\text{fuel\_usage\_accountable\_emissions} = fuel\_combustion\_carbon\_intensity \times \left(mass\_of\_fuel\_used - subtractable\_mass\_of\_bcu\_fuel\right)$

$\text{subtractable\_mass\_of\_bcu\_fuel} = mass\_of\_bcu\_fuel \times \frac{energy\_density\_bcu\_fuel}{energy\_density\_fuel\_used}$

$\text{bcu\_fuel\_usage\_emissions} = bcu\_fuel\_combustion\_carbon\_intensity \times mass\_of\_bcu\_fuel$

Fixed inputs Monitored inputs

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Fuel usage by volume emissions

key: fuel_usage_by_volume tags: Energy use Fuel Transportation Emissions based on multiplying a fuel volume by the carbon emission factor of combustion. Calculations $\text{result} = volume\_of\_fuel \times fuel\_combustion\_carbon\_intensity$ Fixed inputs Monitored inputs

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Fuel usage by volume emissions, accounting for BCU claims

key: fuel_usage_by_volume_bcu tags: Energy use Fuel Transportation Emissions based on a volume of fuel used for a journey, accounting for BCU claims. Calculations $\text{result} = fuel\_usage\_accountable\_emissions + bcu\_fuel\_usage\_emissions$

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$\text{fuel\_usage\_accountable\_emissions} = fuel\_combustion\_carbon\_intensity \times \left(volume\_of\_fuel\_used - volume\_of\_bcu\_fuel \times \frac{energy\_density\_bcu\_fuel}{energy\_density\_fuel\_used}\right)$

$\text{bcu\_fuel\_usage\_emissions} = bcu\_fuel\_combustion\_carbon\_intensity \times volume\_of\_bcu\_fuel$

Fixed inputs Monitored inputs

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GHG direct emissions

key: ghg_direct_emissions tags: Direct emissions Direct emissions from a pyrolysis process where pyrolysis gases are emitted to the atmosphere or combusted. Calculations $\text{result} = mass\_flow \times concentration \times global\_warming\_potential$ Fixed inputs Monitored inputs

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GHG leakage emissions

key: ghg_leakage_by_energy tags: Direct emissions Emissions due to usage of a greenhouse gas leakage into the atmosphere, based on gas energy used. Calculations $\text{result} = \frac{gas\_energy\_used \times global\_warming\_potential \times leakage\_fraction}{gas\_energy\_density}$ Fixed inputs Monitored inputs

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Grid electricity use emissions

key: grid_electricity_use tags: Electricity Energy use Emissions related to electric energy use. Applicable to quantifying electricity emissions when the quantity of electricity consumed is reported as a single number. If electricity consumption has been measured from a meter, use the component blueprint ‘Metered electricity use emissions’. Calculations $\text{result} = electricity\_use \times grid\_carbon\_intensity$ Fixed inputs Monitored inputs

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Grid electricity use, full lifecycle with loss emission factor

key: grid_electricity_full_lifecycle_ef tags: Electricity Energy use Emissions related to electric energy use. Applicable to quantifying electricity emissions where the electricity consumed is reported as a single value and where transmission and distribution losses are published as an emission factor. Calculations $\text{result} = electricity\_use \times grid\_lifecycle\_emission\_factor$

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$\text{grid\_lifecycle\_emission\_factor} = grid\_consumption\_emission\_factor + wtt\_emission\_factor + transmission\_distribution\_loss\_ef$

Fixed inputs Monitored inputs

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Grid electricity use, full lifecycle with percentage losses

key: grid_electricity_full_lifecycle_percent tags: Electricity Energy use Emissions related to electric energy use. Applicable to quantifying electricity emissions where the electricity consumed is reported as a single value and where transmission and distribution losses are published as a percentage. If electricity consumption has been measured from a meter, use the component blueprint ‘Metered electricity use emissions’. Calculations $\text{result} = electricity\_use \times grid\_lifecycle\_emission\_factor \times loss\_uplift$

Show breakdown

$\text{grid\_lifecycle\_emission\_factor} = grid\_consumption\_emission\_factor + wtt\_emission\_factor$

$\text{loss\_uplift} = \overset{One}{\text{1.0}} + transmission\_distribution\_losses$

Fixed inputs Monitored inputs

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Grid electricity use, with low carbon procurement, full lifecycle with percentage losses

key: grid_electricity_with_recs_full_lifecycle_percent tags: Electricity Energy use Emissions related to electric energy use with procurement of low-carbon power. Applicable where distribution losses are published as a percentage. Calculations $\text{result} = grid\_emissions + procured\_power\_emissions$

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$\text{grid\_emissions} = net\_grid\_electricity\_use \times grid\_lifecycle\_emission\_factor \times loss\_uplift$

$\text{net\_grid\_electricity\_use} = total\_grid\_electricity\_use - low\_carbon\_procured\_power\_electricity\_use$

$\text{grid\_lifecycle\_emission\_factor} = grid\_consumption\_emission\_factor + wtt\_emission\_factor$

$\text{loss\_uplift} = \overset{One}{\text{1.0}} + transmission\_distribution\_losses$

$\text{procured\_power\_emissions} = low\_carbon\_procured\_power\_electricity\_use \times low\_carbon\_procured\_power\_emission\_factor \times loss\_uplift$

Fixed inputs Monitored inputs

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Mass-based CI emissions

key: mass_based_ci_emissions tags: Embodied emissions Energy use Emissions based on multiplying a mass by its carbon emission factor. Applicable to quantifying embodied emissions of materials and consumables when the mass consumed is known. This component is generic to any material, for fuel use see the ‘Fuel usage by mass emissions’ component blueprint . Calculations $\text{result} = mass \times carbon\_intensity$ Fixed inputs Monitored inputs

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Mass-distance-based CI emissions

key: mass_distance_based_ci_emissions tags: Transportation Emissions related to transporting a load, based on a distance-mass method. This component should be used when it’s impossible to disambiguate the mass transported from the distance traveled. For example, where multiple small trips with different masses and distances are aggregated prior to submitting them to Isometric Certify. Calculations $\text{result} = mass\_distance \times carbon\_intensity$ Fixed inputs Monitored inputs

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Mass-ratio based emissions

key: mass_ratio_based_emissions tags: Embodied emissions Energy use Fuel Transportation Calculates emissions based on a mass of material used per unit feedstock mass. Applicable to quantifying embodied emissions of materials and consumables when the mass consumed is derived from an efficiency value. Calculations $\text{result} = mass\_ratio \times emissions\_factor \times feedstock\_mass$ Fixed inputs Monitored inputs

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Metered electricity use emissions

key: metered_energy_based_ci_emissions tags: Electricity Energy use Emissions based on electricity use between two meter readings multiplied by its carbon emission factor. Applicable to quantifying electricity emissions when the final and initial meter readout is known. Calculations $\text{result} = energy\_use \times carbon\_intensity$

Show breakdown

$\text{energy\_use} = final\_readout - initial\_readout$

Fixed inputs Monitored inputs

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Proportional and additional mine emissions

key: proportional_and_additional_mine_energy_emissions tags: Electricity Energy use Fuel Emissions related to fuel, emulsion and electricity use, based on proportion of rock powder used and overall electricity use amplifications. Calculations $\text{result} = electricity\_use\_for\_deployed\_rock\_powder \times electricity\_carbon\_intensity$

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$\text{electricity\_use\_for\_deployed\_rock\_powder} = \frac{rock\_powder\_deployed}{total\_rock\_output} \times proportional\_electricity\_use + rock\_powder\_deployed\_proportion \times additional\_electricity\_use$

$\text{proportional\_electricity\_use} = total\_electricity\_use \times \left(1 - energy\_use\_amplification\right)$

$\text{rock\_powder\_deployed\_proportion} = \frac{rock\_powder\_deployed}{rock\_powder\_output}$

$\text{additional\_electricity\_use} = total\_electricity\_use \times energy\_use\_amplification$

Fixed inputs Monitored inputs

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Time-based emissions

key: time_based_emissions Emissions based on multiplying an emission value for a standard length of time by the duration of activity. Applicable to projects including processes where emission factors are known for a time-based measurement of a process, such as use of machinery. Calculations $\text{result} = emissions\_per\_unit\_time \times time$ Fixed inputs Monitored inputs

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Time-based grid electricity use emissions

key: time_based_grid_electricity_use tags: Electricity Energy use Amount of CO₂ emitted, given a time, average power draw and energy carbon emission factor. Calculations $\text{result} = time \times average\_power \times grid\_carbon\_intensity$ Fixed inputs Monitored inputs

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Transport emissions

key: transport tags: Transportation Emissions related to transporting a load, based on a distance-mass method. Applicable to quantifying transportation emissions when the mass and distance traveled for an individual journey is known. Calculations $\text{result} = mass \times distance \times carbon\_intensity$ Fixed inputs Monitored inputs

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Volume per feedstock-unit mass based emissions

key: specific_volume_based_emissions tags: Energy use Fuel Transportation Calculates emissions based on a volume of material used per unit feedstock mass. Applicable to quantifying emissions related to consumables when the volume consumed is derived from an efficiency value. Calculations $\text{result} = volume\_material\_per\_mass \times emissions\_factor \times feedstock\_mass$ Fixed inputs Monitored inputs

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Volume-based emissions

key: volume_based_ci_emissions tags: Embodied emissions Energy use Emissions based on multiplying a volume by its carbon emission factor. Applicable to quantifying emissions related to consumables, for example water. This component is generic to any liquid or gas, for fuel use specifically see the ‘Fuel usage by volume emissions’ component blueprint. Calculations $\text{result} = volume \times carbon\_intensity$ Fixed inputs Monitored inputs

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Volume-based emissions per unit area

key: volume_based_emissions_by_area tags: Embodied emissions Calculates emissions based on multiplying a rate of application of a material to a project area. Applicable, for example, to spreading of a feedstock, fertilizer, carbon-rich product or site preparation. For fuel consumption by unit area see the Fuel Usage By Area component. Calculations $\text{result} = volume\_material\_per\_area \times emission\_factor \times area$ Fixed inputs Monitored inputs

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Volume-distance based emissions

key: volume_distance_based_emissions tags: Embodied emissions Energy use Transportation Emissions based on multiplying a volume and distance by its carbon emission factor. Applicable to quantifying emissions related to transporting volume-based consumables or goods, for example water, gases, or solids in standardized shipping containers. Calculations $\text{result} = volume \times distance \times emission\_factor$ Fixed inputs Monitored inputs

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Adjustment Component Blueprints

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Constant CO₂ reduction

key: constant_reduction Amount of CO₂ activity emissions that have been reduced by other claims, such as Book and Claim Units. Calculations $\text{result} = constant\_reduction$ Monitored inputs

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Loss Component Blueprints

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CO₂e lost to strong acid weathering

key: ew_loss_strong_acid_from_fertilizer_use CO₂e lost to strong acid from fertilizer use Calculations $\text{result} = \frac{fertilizer\_application\_rate \times rock\_spread\_area \times \overset{CO₂\ molar\ mass}{\text{44.01g/mol}} \times nitrogen\_density}{\overset{Nitrogen\ molar\ mass}{\text{28.02g/mol}} \times fertilizer\_density}$ Monitored inputs

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Cation exchange capacity loss

key: ew_cec_loss Enhanced weathering cation exchange capacity loss Calculations $\text{result} = all\_\_cation\_concentration\_increase\_over\_control \times soil\_density \times soil\_sampling\_depth \times rock\_spread\_area \times \overset{CO₂\ molar\ mass}{\text{44.01g/mol}}$

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$\text{all\_\_cation\_concentration\_increase\_over\_control} = all\_\_cation\_concentration\_increase\_in\_deployment - all\_\_cation\_concentration\_increase\_in\_control$

$\text{all\_\_cation\_concentration\_increase\_in\_deployment} = \overline{end\_of\_reporting\_period\_all\_\_in\_treatment} - \overline{baseline\_all\_\_in\_treatment}$

$\text{all\_\_cation\_concentration\_increase\_in\_control} = \overline{end\_of\_reporting\_period\_all\_\_in\_control} - \overline{baseline\_all\_\_in\_control}$

Monitored inputs

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Constant CO₂ loss

key: constant_loss Amount of CO₂ lost before it reached permanent storage. Calculations $\text{result} = constant\_loss$ Monitored inputs

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Removal Counterfactual Component Blueprints

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Biomass counterfactual storage

key: biomass_counterfactual_storage The CO₂ stored in the biomass feedstock that would have remained durably stored in the biomass in the absence of the project. Calculations $\text{result} = feedstock\_co2e\_content - counterfactual\_emissions$

Show breakdown

$\text{feedstock\_co2e\_content} = feedstock\_mass \times feedstock\_carbon\_content \times \overset{CO₂\ equivalent\ of\ pure\ carbon}{\text{3.667}}$

$\text{counterfactual\_emissions} = \text{Minimum}(counterfactual\_emissions\_15\_years,\allowbreak counterfactual\_emissions\_50\_years)$

$\text{counterfactual\_emissions\_50\_years} = \left(1 - retained\_carbon\_fraction\_50\_years\right) \times feedstock\_co2e\_content$

Monitored inputs

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Constant removal counterfactual adjustment

key: constant_removal_counterfactual Baseline carbon removal adjustment based on a counterfactual calculated off-platform. Calculations $\text{result} = constant\_removal\_counterfactual$ Monitored inputs

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Counterfactual carbon storage via river export

key: river_export_counterfactual Counterfactual CO₂ sequestration via drawdown in rivers, resulting in CO₂ ocean storage as dissolved inorganic carbon (DIC). This component is used to model the counterfactual baseline scenario alongside the ocean carbon storage via river export sequestration component. Calculations $\text{result} = co2e\_net\_export - co2e\_feedstock$

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$\text{co2e\_net\_export} = \overset{CO₂\ equivalent\ of\ pure\ carbon}{\text{3.667}} \times river\_dic\_export \times ocean\_retention$

$\text{river\_dic\_export} = \sum dic\_downstream\_t \times river\_retention \times \overset{Molar\ mass\ of\ carbon}{\text{12.011g/mol}}$

$\text{dic\_downstream\_t} = dic\_concentration\_t \times density\_downstream\_t \times flow\_downstream\_t \times time\_interval\_t$

$\text{co2e\_feedstock} = \overset{CO₂\ equivalent\ of\ pure\ carbon}{\text{3.667}} \times feedstock\_carbon\_content$

$\text{feedstock\_carbon\_content} = feedstock\_mass \times feedstock\_carbon\_fraction$

Monitored inputs

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Counterfactual feedstock weathering via OAE

key: feedstock_weathering_oae_counterfactual Counterfactual CO₂ sequestration via weathering of feedstock, resulting in CO₂ ocean storage through OAE processes. Calculations $\text{result} = feedstock\_dissolved \times additional\_feedstock \times air\_sea\_efficiency \times feedstock\_cdr\_potential$ Monitored inputs

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Feedstock replacement emissions

key: feedstock_replacement_emissions Replacement emissions based on multiplying a mass of feedstock by its replacement emissions factor. Calculations $\text{result} = mass\_of\_feedstock \times replacement\_emissions\_factor$ Fixed inputs Monitored inputs

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Sequestration Component Blueprints

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Air-sea CO₂ uptake, DIC inputs

key: air_sea_co2_uptake CO₂ stored via air-sea gas exchange, determined by the difference in uptake under project intervention and baseline conditions, measured via DIC. The calculation uses quantification outlined in the Air-sea CO₂ uptake protocol module. Calculations $\text{result} = co2\_net\_uptake\_t2 - co2\_net\_uptake\_t1$

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$\text{co2\_net\_uptake\_t2} = \overset{CO₂\ equivalent\ of\ pure\ carbon}{\text{3.667}} \times dic\_delta\_t2$

$\text{dic\_delta\_t2} = dic\_intervention\_t2 - dic\_baseline\_t2$

$\text{co2\_net\_uptake\_t1} = \overset{CO₂\ equivalent\ of\ pure\ carbon}{\text{3.667}} \times dic\_delta\_t1$

$\text{dic\_delta\_t1} = dic\_intervention\_t1 - dic\_baseline\_t1$

Monitored inputs

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Air-sea CO₂ uptake, flux inputs

key: air_sea_co2_uptake_flux CO₂ stored via air-sea gas exchange, determined by the difference in cumulative air-sea CO₂ flux under project intervention and baseline conditions. The calculation uses quantification outlined in the Air-sea CO₂ uptake protocol module. Calculations $\text{result} = flux\_delta\_t2 - flux\_delta\_t1$

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$\text{flux\_delta\_t2} = flux\_intervention\_t2 - flux\_baseline\_t2$

$\text{flux\_delta\_t1} = flux\_intervention\_t1 - flux\_baseline\_t1$

Monitored inputs

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Air-sea CO₂ uptake, mass inputs

key: air_sea_co2_uptake_mass CO₂ stored via air-sea gas exchange, determined by the mass of alkalinity added, alkalinity content and modelled efficiency of CO₂ uptake. Calculations $\text{result} = total\_dosed\_alkalinity \times uptake\_efficiency$

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$\text{total\_dosed\_alkalinity} = feedstock\_mass \times feedstock\_alkalinity\_mass\_fraction$

$\text{uptake\_efficiency} = \frac{gross\_cdr}{total\_dosed\_alkalinity}$

$\text{gross\_cdr} = modelled\_cdr \times alkalinity\_correction\_factor$

$\text{modelled\_cdr} = near\_field\_cdr + far\_field\_cdr$

$\text{near\_field\_cdr} = near\_field\_flux\_delta\_t2 - near\_field\_flux\_delta\_t1$

$\text{far\_field\_cdr} = far\_field\_flux\_delta\_t2 - far\_field\_flux\_delta\_t1$

$\text{alkalinity\_correction\_factor} = \frac{feedstock\_alkalinity\_mass\_fraction}{feedstock\_alkalinity\_mass\_fraction\_pre}$

Monitored inputs

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Biochar sequestration, 1000 year durability

key: biochar_sequestration_1000_year_f_durable_max Amount of CO₂ stored via biochar sequestration, given biochar mass and samples evidencing random reflectance properties and carbon content. Applicable to the 1000 year durability option from the Biochar Storage in Agricultural Soils module based on assessment of biochar permanence according to Sanei et al. (2024). Durable fraction capped at 0.95 per protocol requirements. Calculations $\text{result} = product\_mass \times \overline{carbon\_contents} \times durable\_fraction \times \overset{CO₂\ equivalent\ of\ pure\ carbon}{\text{3.667}}$

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$\text{carbon\_contents} = total\_carbon\_contents - inorganic\_carbon\_contents$

$\text{durable\_fraction} = \text{Minimum}(durable\_fraction\_calc,\allowbreak \overset{Max\ durable\ fraction}{\text{0.95}})$

$\text{durable\_fraction\_calc} = \overline{s\_fraction} - s\_standard\_error$

$\text{s\_standard\_error} = \sqrt{\frac{\overline{s\_fraction} \times \left(1 - \overline{s\_fraction}\right)}{num\_samples}}$

$\text{num\_samples} = \left| {s\_fraction} \right|$

Monitored inputs

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Biochar sequestration, 1000 year durability, unsampled batch

key: biochar_sequestration_1000_year_unsampled Amount of CO₂ stored via biochar sequestration of unsampled batches where carbon content and durable fraction are calculated based on historically sampled batches. Applicable to projects sampling using Method B and the 1000 year durability option from the Biochar Storage in Agricultural Soils module. Durable fraction based on assessment of biochar permanence according to Sanei et al. (2024). Calculations $\text{result} = product\_mass \times calculated\_carbon\_content \times durable\_fraction \times \overset{CO₂\ equivalent\ of\ pure\ carbon}{\text{3.667}}$

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$\text{calculated\_carbon\_content} = \text{WinsorizedMean}(carbon\_contents,\allowbreak carbon\_contents) - \text{WinsorizedStandardError}(carbon\_contents,\allowbreak carbon\_contents)$

$\text{carbon\_contents} = total\_carbon\_contents - inorganic\_carbon\_contents$

$\text{durable\_fraction} = \text{Minimum}(durable\_fraction\_calc,\allowbreak \overset{Max\ durable\ fraction}{\text{0.95}})$

$\text{durable\_fraction\_calc} = \overline{s\_fraction} - s\_standard\_error$

$\text{s\_standard\_error} = \sqrt{\frac{\overline{s\_fraction} \times \left(1 - \overline{s\_fraction}\right)}{num\_samples}}$

$\text{num\_samples} = \left| {s\_fraction} \right|$

Monitored inputs

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Biochar sequestration, 200 year durability

key: biochar_sequestration_200_year_c_org Amount of CO₂ stored via biochar sequestration, given a carbon content, mass and durable fraction measurement. Applicable to the 200 year durability option from the Biochar Storage in Agricultural Soils module v1.2. Parameters a, b and c from Woolf et al. (2021). Calculations $\text{result} = product\_mass \times \overline{carbon\_contents} \times durable\_fraction \times \overset{CO₂\ equivalent\ of\ pure\ carbon}{\text{3.667}}$

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$\text{carbon\_contents} = total\_carbon\_contents - inorganic\_carbon\_contents$

$\text{durable\_fraction} = \text{Minimum}(durable\_fraction\_calc,\allowbreak \overset{Max\ durable\ fraction}{\text{0.95}})$

$\text{durable\_fraction\_calc} = 1 - non\_durable\_fraction\_calc$

$\text{non\_durable\_fraction\_calc} = \overset{Parameter\ c}{\text{-0.048}} + \left(\overset{Parameter\ a}{\text{-0.383}} + \overset{Parameter\ b}{\text{0.35}} \times log\_mean\_soil\_temp\right) \times \overline{h\_c\_molar\_ratios}$

$\text{log\_mean\_soil\_temp} = \ln \left(normalized\_mean\_soil\_temp\right)$

$\text{normalized\_mean\_soil\_temp} = \frac{soil\_temp\_delta}{\overset{Celsius\ unit}{\text{1.0$\Delta$°C}}}$

$\text{soil\_temp\_delta} = soil\_temp - \overset{Zero\ celsius}{\text{0.0°C}}$

Monitored inputs

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Biochar sequestration, 200 year durability, unsampled batch

key: biochar_sequestration_200_year_unsampled Amount of CO₂ stored via biochar sequestration of unsampled batches where carbon content and durable fraction are calculated based on historically sampled batches. Applicable to projects sampling using Method B and the 200 year durability option from the Biochar Storage in Agricultural Soils module v1.2. Parameters a, b and c from Woolf et al. (2021). Calculations $\text{result} = product\_mass \times calculated\_carbon\_content \times durable\_fraction \times \overset{CO₂\ equivalent\ of\ pure\ carbon}{\text{3.667}}$

Show breakdown

$\text{calculated\_carbon\_content} = \text{WinsorizedMean}(carbon\_contents,\allowbreak carbon\_contents) - \text{WinsorizedStandardError}(carbon\_contents,\allowbreak carbon\_contents)$

$\text{carbon\_contents} = total\_carbon\_contents - inorganic\_carbon\_contents$

$\text{durable\_fraction} = \text{Minimum}(durable\_fraction\_calc,\allowbreak \overset{Max\ durable\ fraction}{\text{0.95}})$

$\text{durable\_fraction\_calc} = 1 - non\_durable\_fraction\_calc$

$\text{non\_durable\_fraction\_calc} = \overset{Parameter\ c}{\text{-0.048}} + \left(\overset{Parameter\ a}{\text{-0.383}} + \overset{Parameter\ b}{\text{0.35}} \times log\_mean\_soil\_temp\right) \times calculated\_h\_c\_ratio$

$\text{log\_mean\_soil\_temp} = \ln \left(normalized\_mean\_soil\_temp\right)$

$\text{normalized\_mean\_soil\_temp} = \frac{soil\_temp\_delta}{\overset{Celsius\ unit}{\text{1.0$\Delta$°C}}}$

$\text{soil\_temp\_delta} = soil\_temp - \overset{Zero\ celsius}{\text{0.0°C}}$

$\text{calculated\_h\_c\_ratio} = \text{WinsorizedMean}(h\_c\_molar\_ratios,\allowbreak h\_c\_molar\_ratios) + \text{WinsorizedStandardError}(h\_c\_molar\_ratios,\allowbreak h\_c\_molar\_ratios)$

Monitored inputs

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Biomass burial with moisture correction

key: biomass_burial_with_moisture_correction Amount of CO₂ stored, given a carbon concentration, mass and moisture contents. Applicable to quantifying CO₂ stored for the protocol Subsurface Biomass Carbon Removal and Storage. Calculations $\text{result} = carbon\_content \times buried\_mass \times co2e\_of\_carbon \times moisture\_correction$

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$\text{moisture\_correction} = \frac{1 - average\_material\_moisture\_content}{1 - average\_sampled\_moisture\_content}$

Fixed inputs Monitored inputs

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Biomass injection from winsorized mean

key: biomass_injection_from_winsorized_mean Amount of CO₂ stored, given a mass and multiple measured carbon concentration values, from which a mean is calculated. Outliers for the mean are accounted for by winsorizing the measured carbon contents with mean and standard deviation calculated from historical carbon contents from the same feedstock. Applicable to quantifying CO₂ stored for the protocols Biomass Geological Storage and Bio-oil Geological Storage. Calculations $\text{result} = injectant\_mass \times mean\_carbon\_content \times co2e\_of\_carbon$

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$\text{mean\_carbon\_content} = \text{WinsorizedMean}(injectant\_carbon\_content\_measurements,\allowbreak historical\_carbon\_content\_measurements)$

Fixed inputs Monitored inputs

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Blended bio oil injection

key: blended_bio_oil_injection Amount of CO₂ stored, given a carbon concentration and mass. Applicable to quantifying CO₂ stored for Bio-oil Geological Storage when batches of bio-oil are blended prior to injection. Calculations $\text{result} = \overline{unblended\_bio\_oil\_carbon\_contents} \times unblended\_bio\_oil\_mass \times co2e\_of\_carbon$

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$\text{unblended\_bio\_oil\_mass} = blended\_bio\_oil\_mass - liquid\_caustic\_soda\_mass - salt\_mass$

Fixed inputs Monitored inputs

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CO₂ removed from weathering using TICAT method

key: enhanced_weathering_sequestration_ticat CO₂ removed from weathering using the TICAT method described in Reershemius et al 2023. Calculations $\text{result} = ca\_co2\_removed + mg\_co2\_removed + na\_co2\_removed$

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$\text{ca\_co2\_removed} = \frac{feedstock\_mass \times ca\_feedstock\_mass\_fraction \times conservative\_mean\_ca\_weathered\_fraction}{\overset{Calcium\ molar\ mass}{\text{40.078g/mol}}} \times \overset{CO₂\ molar\ mass}{\text{44.01g/mol}} \times \overset{Calcium\ charge}{\text{2.0}}$

$\text{conservative\_mean\_ca\_weathered\_fraction} = \text{ConservativeMeanBootstrapEstimator}(outlier\_detection\_ca\_weathered\_fraction)$

$\text{outlier\_detection\_ca\_weathered\_fraction} = \text{ModifiedZScoreOutlierDetection}(ca\_weathered\_fraction)$

$\text{ca\_weathered\_fraction} = \text{DivideAndFilterZeroDenominator}(ca\_lost,\allowbreak ca\_added)$

$\text{ca\_lost} = ca\_added + ca\_end\_soil\_mass\_fraction - ca\_baseline\_soil\_mass\_fraction$

$\text{ca\_added} = mass\_ratio\_of\_feedstock\_to\_soil \times ca\_feedstock\_mass\_fraction\_surplus$

$\text{mass\_ratio\_of\_feedstock\_to\_soil} = \frac{tracer\_soil\_mass\_fraction\_increase}{tracer\_feedstock\_baseline\_diff}$

$\text{tracer\_soil\_mass\_fraction\_increase} = tracer\_end\_soil\_mass\_fraction - tracer\_baseline\_soil\_mass\_fraction$

$\text{tracer\_feedstock\_baseline\_diff} = tracer\_feedstock\_mass\_fraction - tracer\_end\_soil\_mass\_fraction$

$\text{ca\_feedstock\_mass\_fraction\_surplus} = ca\_feedstock\_mass\_fraction - ca\_baseline\_soil\_mass\_fraction$

$\text{mg\_co2\_removed} = \frac{feedstock\_mass \times mg\_feedstock\_mass\_fraction \times conservative\_mean\_mg\_weathered\_fraction}{\overset{Magnesium\ molar\ mass}{\text{24.305g/mol}}} \times \overset{CO₂\ molar\ mass}{\text{44.01g/mol}} \times \overset{Magnesium\ charge}{\text{2.0}}$

$\text{conservative\_mean\_mg\_weathered\_fraction} = \text{ConservativeMeanBootstrapEstimator}(outlier\_detection\_mg\_weathered\_fraction)$

$\text{outlier\_detection\_mg\_weathered\_fraction} = \text{ModifiedZScoreOutlierDetection}(mg\_weathered\_fraction)$

$\text{mg\_weathered\_fraction} = \text{DivideAndFilterZeroDenominator}(mg\_lost,\allowbreak mg\_added)$

$\text{mg\_lost} = mg\_added + mg\_end\_soil\_mass\_fraction - mg\_baseline\_soil\_mass\_fraction$

$\text{mg\_added} = mass\_ratio\_of\_feedstock\_to\_soil \times mg\_feedstock\_mass\_fraction\_surplus$

$\text{mg\_feedstock\_mass\_fraction\_surplus} = mg\_feedstock\_mass\_fraction - mg\_baseline\_soil\_mass\_fraction$

$\text{na\_co2\_removed} = \frac{feedstock\_mass \times na\_feedstock\_mass\_fraction \times conservative\_mean\_na\_weathered\_fraction}{\overset{Sodium\ molar\ mass}{\text{22.99g/mol}}} \times \overset{CO₂\ molar\ mass}{\text{44.01g/mol}} \times \overset{Sodium\ charge}{\text{1.0}}$

$\text{conservative\_mean\_na\_weathered\_fraction} = \text{ConservativeMeanBootstrapEstimator}(outlier\_detection\_na\_weathered\_fraction)$

$\text{outlier\_detection\_na\_weathered\_fraction} = \text{ModifiedZScoreOutlierDetection}(na\_weathered\_fraction)$

$\text{na\_weathered\_fraction} = \text{DivideAndFilterZeroDenominator}(na\_lost,\allowbreak na\_added)$

$\text{na\_lost} = na\_added + na\_end\_soil\_mass\_fraction - na\_baseline\_soil\_mass\_fraction$

$\text{na\_added} = mass\_ratio\_of\_feedstock\_to\_soil \times na\_feedstock\_mass\_fraction\_surplus$

$\text{na\_feedstock\_mass\_fraction\_surplus} = na\_feedstock\_mass\_fraction - na\_baseline\_soil\_mass\_fraction$

Monitored inputs

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CO₂ removed from weathering using tracer ratio method

key: enhanced_weathering_sequestration_ticat_ratio CO₂ removed from weathering using the tracer ratio method. Calculations $\text{result} = \frac{average\_f\_d \times feedstock\_mass \times cation\_feedstock\_concentration \times cation\_charge \times co2\_molar\_mass}{cation\_molar\_mass}$

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$\text{average\_f\_d} = \text{ConservativeMeanBootstrapEstimator}(f\_d\_no\_outliers)$

$\text{f\_d\_no\_outliers} = \text{ModifiedZScoreOutlierDetection}(f\_d)$

$\text{f\_d} = \frac{cation\_added\_from\_feedstock + cation\_baseline\_soil\_concentration - cation\_post\_application\_concentration}{cation\_feedstock\_concentration \times feedstock\_mass\_fraction}$

$\text{cation\_added\_from\_feedstock} = feedstock\_mass\_fraction \times \left(cation\_feedstock\_concentration - cation\_baseline\_soil\_concentration\right)$

$\text{feedstock\_mass\_fraction} = \frac{feedstock\_mass\_fraction\_numerator}{feedstock\_mass\_fraction\_denominator}$

$\text{feedstock\_mass\_fraction\_numerator} = immobile\_tracer\_ratio \times tracer\_2\_baseline\_soil\_concentration - tracer\_1\_baseline\_soil\_concentration$

$\text{immobile\_tracer\_ratio} = \frac{tracer\_1\_post\_application\_concentration}{tracer\_2\_post\_application\_concentration}$

$\text{feedstock\_mass\_fraction\_denominator} = tracer\_1\_feedstock\_concentration - tracer\_1\_baseline\_soil\_concentration - immobile\_tracer\_ratio \times \left(tracer\_2\_feedstock\_concentration - tracer\_2\_baseline\_soil\_concentration\right)$

Fixed inputs Monitored inputs

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CO₂ stored via mineralization

key: dac_mineralized_co2 CO₂ stored via mineralization, determined by the difference in mass of carbonated material at the start and end of the batch process. Calculations $\text{result} = co2\_mineralized\_delta \times \left(1 - reversal\_risk\right)$

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$\text{co2\_mineralized\_delta} = co2\_mineralized\_t2 - co2\_mineralized\_t1$

$\text{co2\_mineralized\_t2} = material\_dry\_weight\_t2 \times carbon\_content\_t2 \times \overset{CO₂\ equivalent\ of\ pure\ carbon}{\text{3.667}}$

$\text{material\_dry\_weight\_t2} = material\_weight\_t2 \times \left(1 - moisture\_content\_t2\right)$

$\text{co2\_mineralized\_t1} = material\_dry\_weight\_t1 \times carbon\_content\_t1 \times \overset{CO₂\ equivalent\ of\ pure\ carbon}{\text{3.667}}$

$\text{material\_dry\_weight\_t1} = material\_weight\_t1 \times \left(1 - moisture\_content\_t1\right)$

Monitored inputs

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CO₂e stored via logged to protected intervention

key: ifm_logged_to_protected_sequestration CO₂e stored in an IFM project in aboveground woody biomass, determined by baselining the increase in total stored carbon against a business-as-usual scenario where logging takes place within the project area. Calculations $\text{result} = net\_c\_stored\_per\_area \times \overset{CO₂\ equivalent\ of\ pure\ carbon}{\text{3.667}} \times project\_area$

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$\text{net\_c\_stored\_per\_area} = c\_stored\_per\_area\_proj - c\_stored\_per\_area\_bau$

$\text{c\_stored\_per\_area\_proj} = agc\_per\_area\_proj\_tn - agc\_per\_area\_t0$

$\text{c\_stored\_per\_area\_bau} = agc\_per\_area\_bau\_tn - agc\_per\_area\_t0$

Fixed inputs Monitored inputs

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Calculated sequestration

key: calculated_sequestration Sequestration quantified by a code calculation either using a code component in Certify or calculated by the Supplier with supporting documentation. Calculations $\text{result} = calculated\_sequestration$ Monitored inputs

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Carbon rich substance sequestration

key: carbon_rich_substance_sequestration Amount of CO₂ stored, given a carbon concentration and mass. Applicable to quantifying CO₂ stored for the protocols Biomass Geological Storage, Bio-oil Geological Storage, Subsurface Biomass Carbon Removal and Storage and Biochar Production and Storage. Calculations $\text{result} = product\_mass \times carbon\_content \times \overset{CO₂\ equivalent\ of\ pure\ carbon}{\text{3.667}}$ Monitored inputs

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Carbon rich substance sequestration from mean

key: carbon_rich_substance_sequestration_from_mean Amount of CO₂ stored, given a mass and multiple supplied carbon concentration values, from which a mean is calculated. Applicable to quantifying CO₂ stored for the protocols Biomass Geological Storage, Bio-oil Geological Storage, Subsurface Biomass Carbon Removal and Storage and Biochar Production and Storage. Calculations $\text{result} = product\_mass \times \overline{carbon\_contents} \times \overset{CO₂\ equivalent\ of\ pure\ carbon}{\text{3.667}}$ Monitored inputs

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Carbon rich substance sequestration with estimate

key: carbon_rich_substance_sequestration_with_estimate Amount of CO₂ stored. The carbon content is calculated from carbon content samples of the same feedstock from different removals. The carbon concentration is then calculated by winsorizing using a three standard deviation limit, then taking the mean and subtracting one standard error to account for sample variability. Applicable to quantifying CO₂ stored for the protocols Biomass Geological Storage, Bio-oil Geological Storage, Subsurface Biomass Carbon Removal and Storage and Biochar Production and Storage. Calculations $\text{result} = product\_mass \times estimated\_discounted\_carbon\_content \times \overset{CO₂\ equivalent\ of\ pure\ carbon}{\text{3.667}}$

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$\text{estimated\_discounted\_carbon\_content} = \text{WinsorizedMean}(carbon\_contents,\allowbreak carbon\_contents) - \text{WinsorizedStandardError}(carbon\_contents,\allowbreak carbon\_contents)$

Monitored inputs

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Carbon rich substance sequestration with estimate, wet basis

key: carbon_rich_substance_sequestration_with_estimation_wet_basis Amount of CO₂ stored: total carbon content and biomass is estimated based on measured samples of the carbon and moisture content from the biomass being sequestered. Samples are winsorized using a three standard deviation limit, then discounting by one standard error to account for sample variability. Applicable to quantifying CO₂ stored for the protocols Biomass Geological Storage and Bio-oil Geological Storage. Calculations $\text{result} = estimated\_dry\_biomass \times estimated\_carbon\_content \times \overset{CO₂\ equivalent\ of\ pure\ carbon}{\text{3.667}}$

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$\text{estimated\_dry\_biomass} = biomass\_dry\_fraction \times biomass\_wet\_basis$

$\text{biomass\_dry\_fraction} = 1 - estimated\_moisture\_content$

$\text{estimated\_moisture\_content} = \text{WinsorizedMean}(moisture\_contents,\allowbreak moisture\_contents) + \text{WinsorizedStandardError}(moisture\_contents,\allowbreak moisture\_contents)$

$\text{estimated\_carbon\_content} = \text{WinsorizedMean}(carbon\_contents,\allowbreak carbon\_contents) - \text{WinsorizedStandardError}(carbon\_contents,\allowbreak carbon\_contents)$

Monitored inputs

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DAC sequestration

key: dac_sequestration_constant_co2_mass Amount of CO₂ stored via direct air capture. Calculated from the time integrated product of time series sensor data for the mass flow rate and mass fraction of CO₂. Calculations $\text{result} = dac\_sequestration\_constant\_co2\_mass$ Monitored inputs

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DAC sequestration from calculated mass flow

key: dac_sequestration_calculated_mass_flow Amount of CO₂ stored via direct air capture. Calculated by deriving mass flow rate from temperature, pressure, and volume flow rate sensors, alongside fluid composition information. Mass flow rate is then multiplied by the mass concentration of CO₂ and the duration of flow rate to calculate CO₂ sequestered. Calculations $\text{result} = \text{SumProduct}(mass\_flow\_rate\_co2,\allowbreak sequestration\_period)$

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$\text{mass\_flow\_rate\_co2} = calculated\_mass\_flow\_rate \times concentration\_co2$

$\text{calculated\_mass\_flow\_rate} = density\_sequestration\_fluid \times volume\_flow\_rate\_sequestration\_fluid$

$\text{density\_sequestration\_fluid} = \text{HeosDensity}(temperature\_sensor\_result,\allowbreak pressure\_sensor\_result,\allowbreak co2\_mole\_fraction,\allowbreak o2\_mole\_fraction,\allowbreak n2\_mole\_fraction,\allowbreak h2o\_mole\_fraction,\allowbreak h2\_mole\_fraction)$

$\text{co2\_mole\_fraction} = \frac{moles\_co2\_per\_unit\_mass}{total\_moles\_per\_unit\_mass}$

$\text{moles\_co2\_per\_unit\_mass} = \frac{concentration\_co2}{\overset{CO₂\ molar\ mass}{\text{44.01g/mol}}}$

$\text{total\_moles\_per\_unit\_mass} = moles\_co2\_per\_unit\_mass + moles\_o2\_per\_unit\_mass + moles\_n2\_per\_unit\_mass + moles\_h2o + moles\_h2\_per\_unit\_mass$

$\text{moles\_o2\_per\_unit\_mass} = \frac{concentration\_o2}{\overset{O₂\ molar\ mass}{\text{32.0g/mol}}}$

$\text{moles\_n2\_per\_unit\_mass} = \frac{concentration\_n2}{\overset{N₂\ molar\ mass}{\text{28.014g/mol}}}$

$\text{moles\_h2o} = \frac{concentration\_h2o}{\overset{H₂O\ molar\ mass}{\text{18.015g/mol}}}$

$\text{moles\_h2\_per\_unit\_mass} = \frac{concentration\_h2}{\overset{H₂\ molar\ mass}{\text{2.016g/mol}}}$

$\text{o2\_mole\_fraction} = \frac{moles\_o2\_per\_unit\_mass}{total\_moles\_per\_unit\_mass}$

$\text{n2\_mole\_fraction} = \frac{moles\_n2\_per\_unit\_mass}{total\_moles\_per\_unit\_mass}$

$\text{h2o\_mole\_fraction} = \frac{moles\_h2o}{total\_moles\_per\_unit\_mass}$

$\text{h2\_mole\_fraction} = \frac{moles\_h2\_per\_unit\_mass}{total\_moles\_per\_unit\_mass}$

Monitored inputs

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DAC sequestration with volumetric fraction and fossil capture discount

key: dac_sequestration_co2_volume Amount of CO₂ stored via direct air capture. Calculated from the time integrated product of time series sensor data for the mass flow rate of injectate and volume fraction of CO₂. Calculations $\text{result} = weighted\_co2\_mass \times \frac{\overset{CO₂\ molar\ mass}{\text{44.01g/mol}}}{injectate\_molar\_mass} \times air\_capture\_ratio$ Monitored inputs

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Dissolved carbon sequestration

key: dissolved_carbon_storage_solid_phase_steady_state Mass of CO₂ converted to bicarbonate ions in the wastewater stream, determined using direct measurements within the treatment plant and subtracting any potential losses upon effluent discharge. The calculation uses quantification of dissolved feedstock in the solid phase (Option 1 in the WAE protocol), and assumes a steady state of feedstock mass in the control volume. Calculations $\text{result} = co2\_removed\_from\_feedstock\_dissolution - co2\_release\_from\_non\_carbonic\_acid\_weathering$

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$\text{co2\_removed\_from\_feedstock\_dissolution} = mass\_of\_dissolved\_feedstock\_rp \times molar\_mass\_ratio \times undissolved\_fs\_non\_carb \times molar\_ratio\_carbonic\_weathering \times losses$

$\text{mass\_of\_dissolved\_feedstock\_rp} = mass\_dosing\_rp - mass\_effluent\_rp - mass\_was\_rp$

$\text{mass\_dosing\_rp} = total\_flow\_dosing \times mean\_feedstock\_concentration\_dosing$

$\text{mass\_effluent\_rp} = total\_flow\_effluent \times tss\_effluent \times mean\_tic\_effluent$

$\text{mass\_was\_rp} = total\_flow\_was \times tss\_was \times mean\_tic\_was$

$\text{molar\_mass\_ratio} = \frac{\overset{CO₂\ molar\ mass}{\text{44.01g/mol}}}{feedstock\_molar\_mass}$

$\text{undissolved\_fs\_non\_carb} = 1 - dissolved\_fs\_non\_carb$

$\text{co2\_release\_from\_non\_carbonic\_acid\_weathering} = mass\_of\_dissolved\_feedstock\_rp \times molar\_mass\_ratio \times dissolved\_fs\_non\_carb \times molar\_ratio\_non\_carbonic\_weathering$

Monitored inputs

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Dissolved carbon sequestration, aqueous phase

key: dissolved_carbon_storage_aqueous_phase Mass of CO₂ converted to bicarbonate ions in the wastewater stream, determined using direct measurements within the treatment plant and subtracting any potential losses upon effluent discharge. Feedstock quantified in aqueous phase as total molar flows. Calculations $\text{result} = co2\_removed\_from\_feedstock\_dissolution - co2\_release\_from\_non\_carbonic\_acid\_weathering$

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$\text{co2\_removed\_from\_feedstock\_dissolution} = mass\_of\_dissolved\_feedstock\_rp \times molar\_mass\_ratio \times undissolved\_fs\_non\_carb \times molar\_ratio\_carbonic\_weathering \times losses$

$\text{mass\_of\_dissolved\_feedstock\_rp} = feedstock\_molar\_mass \times \left(molar\_flow\_effluent\_rp + molar\_flow\_was\_rp - molar\_flow\_influent\_rp\right)$

$\text{molar\_mass\_ratio} = \frac{\overset{CO₂\ molar\ mass}{\text{44.01g/mol}}}{feedstock\_molar\_mass}$

$\text{undissolved\_fs\_non\_carb} = 1 - dissolved\_fs\_non\_carb$

$\text{co2\_release\_from\_non\_carbonic\_acid\_weathering} = mass\_of\_dissolved\_feedstock\_rp \times molar\_mass\_ratio \times dissolved\_fs\_non\_carb \times molar\_ratio\_non\_carbonic\_weathering$

Fixed inputs Monitored inputs

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Dissolved carbon sequestration, manual dosing

key: dissolved_carbon_storage_manual_dosing Mass of CO₂ converted to bicarbonate ions in the wastewater stream, determined using direct measurements within the treatment plant and subtracting any potential losses upon effluent discharge. Feedstock is dosed manually and measured as a total mass value. Calculations $\text{result} = co2\_removed\_from\_feedstock\_dissolution - co2\_release\_from\_non\_carbonic\_acid\_weathering$

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$\text{co2\_removed\_from\_feedstock\_dissolution} = mass\_of\_dissolved\_feedstock\_rp \times molar\_mass\_ratio \times undissolved\_fs\_non\_carb \times molar\_ratio\_carbonic\_weathering \times losses$

$\text{mass\_of\_dissolved\_feedstock\_rp} = mass\_dosing\_rp - mass\_effluent\_rp - mass\_was\_rp$

$\text{mass\_effluent\_rp} = total\_flow\_effluent \times tss\_effluent \times mean\_tic\_effluent$

$\text{mass\_was\_rp} = total\_flow\_was \times tss\_was \times mean\_tic\_was$

$\text{molar\_mass\_ratio} = \frac{\overset{CO₂\ molar\ mass}{\text{44.01g/mol}}}{feedstock\_molar\_mass}$

$\text{undissolved\_fs\_non\_carb} = 1 - dissolved\_fs\_non\_carb$

$\text{co2\_release\_from\_non\_carbonic\_acid\_weathering} = mass\_of\_dissolved\_feedstock\_rp \times molar\_mass\_ratio \times dissolved\_fs\_non\_carb \times molar\_ratio\_non\_carbonic\_weathering$

Monitored inputs

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Dissolved carbon sequestration, mass inputs

key: dissolved_carbon_storage_mass_inputs Mass of CO₂ converted to bicarbonate ions in the wastewater stream, determined using direct measurements within the treatment plant and subtracting any potential losses upon effluent discharge. Feedstock measurements for dosing and waste streams provided as mass inputs. Calculations $\text{result} = co2\_removed\_from\_feedstock\_dissolution - co2\_release\_from\_non\_carbonic\_acid\_weathering$

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$\text{co2\_removed\_from\_feedstock\_dissolution} = mass\_of\_dissolved\_feedstock\_rp \times molar\_mass\_ratio \times undissolved\_fs\_non\_carb \times molar\_ratio\_carbonic\_weathering \times losses$

$\text{mass\_of\_dissolved\_feedstock\_rp} = mass\_dosing\_rp - mass\_effluent\_rp - mass\_was\_rp$

$\text{molar\_mass\_ratio} = \frac{\overset{CO₂\ molar\ mass}{\text{44.01g/mol}}}{feedstock\_molar\_mass}$

$\text{undissolved\_fs\_non\_carb} = 1 - dissolved\_fs\_non\_carb$

$\text{co2\_release\_from\_non\_carbonic\_acid\_weathering} = mass\_of\_dissolved\_feedstock\_rp \times molar\_mass\_ratio \times dissolved\_fs\_non\_carb \times molar\_ratio\_non\_carbonic\_weathering$

Monitored inputs

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Enhanced weathering - 3-plot, unpaired single immobile tracer element method

key: iemt_2026_01 CO₂ removed from weathering using the immobile element method described in Reershemius et al 2023, using a single immobile tracer. This component specifically handles three plots with unpaired Ca and Mg measurements using Cu as the tracer. Accounts for losses from strong acids, plant uptake, CEC loss, and river and ocean networks. Calculations $\text{result} = co2e\_after\_in\_field\_losses \times river\_retention\_factor \times ocean\_retention\_factor$

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$\text{co2e\_after\_in\_field\_losses} = co2\_sequestered - strong\_acid\_weathering\_loss - counterfactual\_liming\_loss$

Monitored inputs

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Enhanced weathering in closed engineered systems, carbonic acid measurements

key: engineered_enhanced_weathering_carbonic_acid Sequestration via weathering of a rock or mineral feedstock with CO₂ gas in an engineered reactor, with final storage as DIC in the ocean, accounting for miscellaneous and downstream losses. This blueprint applies to projects where downstream losses are quantified via carbonic acid system measurements. Calculations $\text{result} = upstream\_net\_storage \times \left(1 - downstream\_loss\_factor\right)$

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$\text{upstream\_net\_storage} = \sum co2\_weathered\_effluent\_t - \sum co2\_weathered\_influent\_t - misc\_losses$

$\text{co2\_weathered\_effluent\_t} = time\_interval\_t \times concentration\_delta\_effluent\_t \times flow\_rate\_effluent\_t \times weathering\_molar\_ratio \times \overset{CO₂\ molar\ mass}{\text{44.01g/mol}}$

$\text{co2\_weathered\_influent\_t} = time\_interval\_t \times concentration\_delta\_influent\_t \times flow\_rate\_influent\_t \times weathering\_molar\_ratio \times \overset{CO₂\ molar\ mass}{\text{44.01g/mol}}$

Fixed inputs Monitored inputs

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Enhanced weathering soil-based quantification with losses

key: iemt_2025_11_modelled Calculates CO₂ removed from weathering using soil sample measurements. Accounts for losses from strong acids, plant uptake, and river and ocean networks. Calculations $\text{result} = co2e\_after\_in\_field\_losses \times river\_retention\_factor \times ocean\_retention\_factor$

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$\text{co2e\_after\_in\_field\_losses} = co2\_sequestered - total\_cec\_loss - strong\_acid\_weathering\_loss - plant\_uptake\_loss - counterfactual\_liming\_loss$

Monitored inputs

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Enhanced weathering soil-based quantification with losses, incremental reporting period

key: iemt_incremental_reporting_period_2026_06_modelled Calculates CO₂ removed from weathering during a single reporting period by retracting the cumulative gross CDR measured from t0 to the end of the previous reporting period from the cumulative gross CDR measured from t0 to the end of this reporting period, then applying losses from strong acids, plant uptake, CEC, counterfactual liming, and river and ocean networks. Calculations $\text{result} = co2e\_after\_in\_field\_losses \times river\_retention\_factor \times ocean\_retention\_factor$

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$\text{co2e\_after\_in\_field\_losses} = cumulative\_gross\_cdr - previous\_gross\_cdr - total\_cec\_loss - strong\_acid\_weathering\_loss - plant\_uptake\_loss - counterfactual\_liming\_loss$

Monitored inputs

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Ocean carbon storage via river export

key: ocean_carbon_storage_river_export CO₂ sequestered via increased drawdown in rivers and reduced outgassing, resulting in CO₂ ocean storage as dissolved inorganic carbon (DIC). The calculation uses quantification outlined in the River Alkalinity Enhancement protocol. Calculations $\text{result} = co2e\_net\_export - co2e\_feedstock$

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$\text{co2e\_net\_export} = \overset{CO₂\ equivalent\ of\ pure\ carbon}{\text{3.667}} \times river\_dic\_export \times ocean\_retention$

$\text{river\_dic\_export} = \sum dic\_downstream\_t \times river\_retention \times \overset{Molar\ mass\ of\ carbon}{\text{12.011g/mol}}$

$\text{dic\_downstream\_t} = dic\_concentration\_t \times density\_downstream\_t \times flow\_downstream\_t \times time\_interval\_t$

$\text{co2e\_feedstock} = \overset{CO₂\ equivalent\ of\ pure\ carbon}{\text{3.667}} \times feedstock\_carbon\_content$

$\text{feedstock\_carbon\_content} = feedstock\_mass \times feedstock\_carbon\_fraction$

Monitored inputs

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Off-platform sequestration

key: off_platform_sequestration Constant sequestration representing a calculation that is done outside of the Isometric system. This blueprint should be used for testing sequestration values before we can represent them with a more detailed blueprint, and not for ‘production’ removal data. Calculations $\text{result} = off\_platform\_sequestration$ Monitored inputs

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Two plot, unpaired single immobile tracer element

key: iemt_2025_04_two_plot_ca_mg_non_paired_single_tracer CO₂ removed from weathering using the immobile element method described in Reershemius et al 2023, using an immobile tracer. Accounts for losses from strong acids, plant uptake, and river and ocean networks. Can accept multiple feedstock measurements for each element, and the mean will be used. Will also accept multiple soil measurements and take the average of the baseline and end of reporting period measurements for each element before performing the TiCAT calculation. This method allows us to use data where soil measurements are not taken at the same location in baseline and end of reporting period. Calculations $\text{result} = \text{ExpectedValue}(co2\_sequestered \times strong\_acid\_retention\_factor \times plant\_retention\_factor \times river\_retention\_factor \times ocean\_retention\_factor)$

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$\text{co2\_sequestered} = ca\_co2\_removed + mg\_co2\_removed$

$\text{ca\_co2\_removed} = \frac{feedstock\_mass \times \overline{ca\_feedstock\_mass\_fraction} \times ca\_weathered\_fraction\_mean}{\overset{Calcium\ molar\ mass}{\text{40.078g/mol}}} \times \overset{CO₂\ molar\ mass}{\text{44.01g/mol}} \times \overset{Calcium\ charge}{\text{2.0}}$

$\text{ca\_weathered\_fraction\_mean} = \text{ExpectedValueMinusStddev}(ca\_weathered\_fraction)$

$\text{ca\_weathered\_fraction} = \text{DivideAndFilterZeroDenominator}(ca\_lost,\allowbreak ca\_added)$

$\text{ca\_lost} = ca\_added + \overline{ca\_end\_soil\_mass\_fraction} + \overline{ca\_soil\_mass\_fraction\_control\_correction} - \overline{ca\_baseline\_soil\_mass\_fraction}$

$\text{ca\_added} = mass\_ratio\_of\_feedstock\_to\_soil \times ca\_feedstock\_mass\_fraction\_surplus$

$\text{mass\_ratio\_of\_feedstock\_to\_soil} = \frac{tracer\_soil\_mass\_fraction\_increase}{tracer\_feedstock\_baseline\_diff}$

$\text{tracer\_soil\_mass\_fraction\_increase} = \overline{tracer\_end\_soil\_mass\_fraction} - \overline{tracer\_baseline\_soil\_mass\_fraction}$

$\text{tracer\_feedstock\_baseline\_diff} = \overline{tracer\_feedstock\_mass\_fraction} - \overline{tracer\_end\_soil\_mass\_fraction}$

$\text{ca\_feedstock\_mass\_fraction\_surplus} = \overline{ca\_feedstock\_mass\_fraction} - \overline{ca\_baseline\_soil\_mass\_fraction}$

$\text{ca\_soil\_mass\_fraction\_control\_correction} = ca\_baseline\_soil\_mass\_fraction\_control - ca\_end\_soil\_mass\_fraction\_control$

$\text{mg\_co2\_removed} = \frac{feedstock\_mass \times \overline{mg\_feedstock\_mass\_fraction} \times mg\_weathered\_fraction\_mean}{\overset{Magnesium\ molar\ mass}{\text{24.305g/mol}}} \times \overset{CO₂\ molar\ mass}{\text{44.01g/mol}} \times \overset{Magnesium\ charge}{\text{2.0}}$

$\text{mg\_weathered\_fraction\_mean} = \text{ExpectedValueMinusStddev}(mg\_weathered\_fraction)$

$\text{mg\_weathered\_fraction} = \text{DivideAndFilterZeroDenominator}(mg\_lost,\allowbreak mg\_added)$

$\text{mg\_lost} = mg\_added + \overline{mg\_end\_soil\_mass\_fraction} + \overline{mg\_soil\_mass\_fraction\_control\_correction} - \overline{mg\_baseline\_soil\_mass\_fraction}$

$\text{mg\_added} = mass\_ratio\_of\_feedstock\_to\_soil \times mg\_feedstock\_mass\_fraction\_surplus$

$\text{mg\_feedstock\_mass\_fraction\_surplus} = \overline{mg\_feedstock\_mass\_fraction} - \overline{mg\_baseline\_soil\_mass\_fraction}$

$\text{mg\_soil\_mass\_fraction\_control\_correction} = mg\_baseline\_soil\_mass\_fraction\_control - mg\_end\_soil\_mass\_fraction\_control$

Monitored inputs

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Woody biomass sequestration

key: woody_biomass_sequestration CO₂e stored in a reforestation project in aboveground and belowground woody biomass, determined by the difference in CO₂e stored between the start and end of the reporting period. Calculations $\text{result} = co2e\_stored\_t2 - co2e\_stored\_t1$

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$\text{co2e\_stored\_t2} = co2e\_agb\_t2 + co2e\_bgb\_t2$

$\text{co2e\_agb\_t2} = \overset{CO₂\ equivalent\ of\ pure\ carbon}{\text{3.667}} \times mean\_carbon\_fraction \times mass\_agb\_t2$

$\text{co2e\_bgb\_t2} = root\_shoot\_ratio \times co2e\_agb\_t2$

$\text{co2e\_stored\_t1} = co2e\_agb\_t1 + co2e\_bgb\_t1$

$\text{co2e\_agb\_t1} = \overset{CO₂\ equivalent\ of\ pure\ carbon}{\text{3.667}} \times mean\_carbon\_fraction \times mass\_agb\_t1$

$\text{co2e\_bgb\_t1} = root\_shoot\_ratio \times co2e\_agb\_t1$

Monitored inputs

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Woody biomass sequestration with performance benchmark adjustment

key: woody_biomass_sequestration_with_performance_benchmark CO₂e stored in a reforestation project in woody biomass, determined by the net increase in carbon mass density in sampled plot areas over the reporting period, against a dynamic baseline counterfactual scenario. Calculations $\text{result} = co2e\_stored - co2e\_stored\_counterfactual$

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$\text{co2e\_stored} = carbon\_density\_delta \times project\_area \times \overset{CO₂\ equivalent\ of\ pure\ carbon}{\text{3.667}}$

$\text{co2e\_stored\_counterfactual} = \frac{co2e\_stored}{performance\_benchmark}$

Monitored inputs

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Woody biomass sequestration with performance benchmark adjustment

key: woody_biomass_sequestration_with_performance_benchmark_calculated CO₂e stored in a reforestation project in woody biomass, determined by the net increase in carbon mass density in sampled plot areas over the reporting period, against a dynamic baseline counterfactual scenario. Calculations $\text{result} = co2e\_stored - co2e\_stored\_counterfactual$

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$\text{co2e\_stored\_counterfactual} = \frac{co2e\_stored}{performance\_benchmark}$

Monitored inputs

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Uncertainty Discount Component Blueprints

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Constant CO₂ uncertainty discount

key: constant_uncertainty_discount CO₂e discounted as a result of an off-platform calculation of input uncertainty, such as Monte Carlo simulations. This component should only be used if not using the in-built variance propagation method of uncertainty discounting. Calculations $\text{result} = constant\_uncertainty\_discount$ Monitored inputs