This is an archival representation of v1.0 of this pathway. View the latest version here.
CDR Verification Framework
This is an interactive tool for understanding Verification Confidence Levels (VCLs) for carbon dioxide removal (CDR) by mapping key uncertainties for different CDR pathways. Developed in collaboration between CarbonPlan and Frontier. Read the explainer article, the Frontier post, or methods for more detail.
Biomaterial Injection
v1.0
VCL
3-5
Biomass with carbon removal and storage (BiCRS) uses photosynthesis to remove CO₂ from the atmosphere, and transforms the resulting biomass (e.g. via pyrolysis) and its environment (e.g. via geologic injection) to achieve long-term storage. This pathway is VCL 3-5, meaning that current quantification capacity can establish permanent carbon removal, but that for certain approaches, significant uncertainties remain. View pathway documentation.
The Verification Confidence Level (VCL) summarizes the uncertainty mapping and represents the extent to which net carbon removal and storage durability can be confidendently quantified using the best approaches available today on a scale of 1 (low confidence) to 5 (high confidence). Note that a low VCL corresponds with high component uncertainties, and vice versa.
The outcome a particular MRV component informs. Select one to filter for the corresponding components below.
Component
Uncertainty
Storage
Quantification target
What needs to be quantified via an MRV process in order to estimate the net carbon removal or storage durability achieved.
mass of captured and stored biomass carbon
Uncertainty
Impact
The potential impact of the uncertainty on the final estimate of net carbon removal or storage duration: negligible, low, medium, high, or very high. These impact categories correspond directly with the five uncertainty bars shown above.
negligible (<1%)
Type
The primary driver of uncertainty given the identified “best practice” approaches to quantification: execution, scientific, or counterfactual.
execution
Responsibility
Should this uncertainty be primarily reduced through project-specific efforts, or system efforts, such as broader scientific research or cross-project coordination?
project
Included in accounting
Whether or not the component is included in the calculation of total carbon removal. Components are excluded if they primarily inform permanence outcomes, or if they represent avoided emissions or temporary carbon removal co-benefits.
Yes
Notes
The mass of biomass material injected for geologic storage — or used as an input for another storage process — can be measured directly as a metered output from the biomass transformation system (e.g. a pyrolyzer) and as a metered input to the storage system. This quantity can also be checked for consistency against the measured mass of biomass feedstock and operational data from the biomass transformation system. The carbon content of the biomass material can be directly measured and converted to CO₂e using a default factor.
Leakage
Quantification target
What needs to be quantified via an MRV process in order to estimate the net carbon removal or storage durability achieved.
mass of storage system leakage
Uncertainty
Impact
The potential impact of the uncertainty on the final estimate of net carbon removal or storage duration: negligible, low, medium, high, or very high. These impact categories correspond directly with the five uncertainty bars shown above.
low (1-5%)
to
medium (5-20%)
Type
The primary driver of uncertainty given the identified “best practice” approaches to quantification: execution, scientific, or counterfactual.
execution
Responsibility
Should this uncertainty be primarily reduced through project-specific efforts, or system efforts, such as broader scientific research or cross-project coordination?
project
Included in accounting
Whether or not the component is included in the calculation of total carbon removal. Components are excluded if they primarily inform permanence outcomes, or if they represent avoided emissions or temporary carbon removal co-benefits.
Yes
Notes
For terrestrial geologic storage, leakage (e.g. fugitive emissions or migrating bio-oil) can be directly monitored during and after the injection period, though this is more challenging for subseafloor reservoirs. If geologic storage results in functionally stable form on a short timescale — for example, via subsurface mineralization of CO₂ or demonstration that injected bio-oil will not break down under subsurface conditions — fugitive emissions associated with the full lifetime of storage may be estimated based on direct observations of the storage reservoir. If instead the integrity of geologic storage requires ongoing monitoring and maintenance — for example, with the injection of supercritical CO₂ — the potential for future fugitive emissions must be modeled. For alternative storage systems, like mineralization in concrete, it is possible to directly measure the conversion of input CO₂ into a functionally stable form and therefore the total leakage from the storage system.
Carbon storage counterfactual
Quantification target
What needs to be quantified via an MRV process in order to estimate the net carbon removal or storage durability achieved.
mass of biomass carbon stored in the counterfactual
Uncertainty
Impact
The potential impact of the uncertainty on the final estimate of net carbon removal or storage duration: negligible, low, medium, high, or very high. These impact categories correspond directly with the five uncertainty bars shown above.
low (1-5%)
Type
The primary driver of uncertainty given the identified “best practice” approaches to quantification: execution, scientific, or counterfactual.
counterfactual
Responsibility
Should this uncertainty be primarily reduced through project-specific efforts, or system efforts, such as broader scientific research or cross-project coordination?
system
Included in accounting
Whether or not the component is included in the calculation of total carbon removal. Components are excluded if they primarily inform permanence outcomes, or if they represent avoided emissions or temporary carbon removal co-benefits.
Yes
Notes
While nearly all biomass carbon eventually makes its way back to the atmosphere, the effective drawdown from BiCRS occurs when the carbon content of the feedstock would otherwise have been released in the form of atmospheric CO₂. If the counterfactual fate of the biomass feedstock would have resulted in little to no carbon storage — for example, burning or rapid decomposition — any durable storage achieved by BiCRS represents additional carbon removal. If, however, the counterfactual fate of the biomass feedstock would have resulted in medium-to-long term carbon storage — for example in soils or slow degrading environments — the mass of stored carbon in the counterfactual should not count as additional carbon removal until counterfactual emissions would have occurred.
Feedstock use counterfactual
Quantification target
What needs to be quantified via an MRV process in order to estimate the net carbon removal or storage durability achieved.
feedstock replacement emissions
Uncertainty
Impact
The potential impact of the uncertainty on the final estimate of net carbon removal or storage duration: negligible, low, medium, high, or very high. These impact categories correspond directly with the five uncertainty bars shown above.
low (1-5%)
to
medium (5-20%)
Type
The primary driver of uncertainty given the identified “best practice” approaches to quantification: execution, scientific, or counterfactual.
counterfactual
Responsibility
Should this uncertainty be primarily reduced through project-specific efforts, or system efforts, such as broader scientific research or cross-project coordination?
system
Included in accounting
Whether or not the component is included in the calculation of total carbon removal. Components are excluded if they primarily inform permanence outcomes, or if they represent avoided emissions or temporary carbon removal co-benefits.
Yes
Notes
If a biomass feedstock currently serves a function that will need to be replaced if the feedstock is used for BiCRS, any emissions associated with the replacement must be considered. For example, if agricultural waste is currently used as animal feed or left on the fields to contribute to nitrogen, phosphorus, and potassium or to soil organic carbon, using that feedstock for BiCRS could result in new demand for feed, fertilizer, or soil amendments, respectively. Current feedstock uses can be evaluated on a project-by-project basis, and the carbon impact of replacements can be estimated via lifecycle assessments. We recommend accounting for feedstock replacement emissions that involve existing feedstock uses rather than potential future uses. For example, agricultural feedstocks used for BiCRS should be evaluated based on their current uses (e.g. for animal feed or soil nutrients) rather than potential future uses that are not practiced today (e.g. potential use for bioenergy). The counterfactual for existing utilization should be flexible, and re-evaluated in the future if prevailing practices change.
Market effects
Quantification target
What needs to be quantified via an MRV process in order to estimate the net carbon removal or storage durability achieved.
emissions from market effects
Uncertainty
Impact
The potential impact of the uncertainty on the final estimate of net carbon removal or storage duration: negligible, low, medium, high, or very high. These impact categories correspond directly with the five uncertainty bars shown above.
low (1-5%)
to
high (20-50%)
Type
The primary driver of uncertainty given the identified “best practice” approaches to quantification: execution, scientific, or counterfactual.
scientific
Responsibility
Should this uncertainty be primarily reduced through project-specific efforts, or system efforts, such as broader scientific research or cross-project coordination?
system
Included in accounting
Whether or not the component is included in the calculation of total carbon removal. Components are excluded if they primarily inform permanence outcomes, or if they represent avoided emissions or temporary carbon removal co-benefits.
Yes
Notes
Any emissions associated with market effects as a result of feedstock demand must be considered. For example, paying farmers for agricultural waste will likely increase the profitability of their operations and could result in an increase in acres planted. Directly growing energy crops or creating plantations could displace food production onto other lands and contribute to deforestation. Estimating the system emissions resulting from new feedstock demand will likely be difficult in practice and require careful economic modeling that reflects the overall scale of new biomass demand.
Materials
Quantification target
What needs to be quantified via an MRV process in order to estimate the net carbon removal or storage durability achieved.
material embodied emissions
Uncertainty
Impact
The potential impact of the uncertainty on the final estimate of net carbon removal or storage duration: negligible, low, medium, high, or very high. These impact categories correspond directly with the five uncertainty bars shown above.
low (1-5%)
Type
The primary driver of uncertainty given the identified “best practice” approaches to quantification: execution, scientific, or counterfactual.
execution
Responsibility
Should this uncertainty be primarily reduced through project-specific efforts, or system efforts, such as broader scientific research or cross-project coordination?
project
Included in accounting
Whether or not the component is included in the calculation of total carbon removal. Components are excluded if they primarily inform permanence outcomes, or if they represent avoided emissions or temporary carbon removal co-benefits.
Yes
Notes
The embodied emissions of any materials consumed during operation, like biomass feedstocks, can be estimated based on a cradle-to-grave lifecycle assessment (LCA) of the material input. The embodied emissions of non-consumed project equipment and infrastructure must also be considered, amortized over the expected lifetime of operation. There are not yet consistent best practices around whether or how to account for the embodied emissions of equipment or infrastructure that is used but not owned by the project. Transparency around boundary assumptions, data sources, and uncertainties is critical for LCA consistency and comparability.
Energy
Quantification target
What needs to be quantified via an MRV process in order to estimate the net carbon removal or storage durability achieved.
energy use emissions
Uncertainty
Impact
The potential impact of the uncertainty on the final estimate of net carbon removal or storage duration: negligible, low, medium, high, or very high. These impact categories correspond directly with the five uncertainty bars shown above.
low (1-5%)
Type
The primary driver of uncertainty given the identified “best practice” approaches to quantification: execution, scientific, or counterfactual.
execution
Responsibility
Should this uncertainty be primarily reduced through project-specific efforts, or system efforts, such as broader scientific research or cross-project coordination?
project
Included in accounting
Whether or not the component is included in the calculation of total carbon removal. Components are excluded if they primarily inform permanence outcomes, or if they represent avoided emissions or temporary carbon removal co-benefits.
Yes
Notes
The emissions associated with energy use for the process should be estimated based on an assessment of lifecycle emissions for the specific electricity or energy sources consumed by the project.
Storage monitoring and maintenance
Quantification target
What needs to be quantified via an MRV process in order to estimate the net carbon removal or storage durability achieved.
storage system monitoring and maintenance plan; years of expected CO₂ storage
Uncertainty
Impact
The potential impact of the uncertainty on the final estimate of net carbon removal or storage duration: negligible, low, medium, high, or very high. These impact categories correspond directly with the five uncertainty bars shown above.
low (1-5%)
to
medium (5-20%)
Type
The primary driver of uncertainty given the identified “best practice” approaches to quantification: execution, scientific, or counterfactual.
execution
Responsibility
Should this uncertainty be primarily reduced through project-specific efforts, or system efforts, such as broader scientific research or cross-project coordination?
project
Included in accounting
Whether or not the component is included in the calculation of total carbon removal. Components are excluded if they primarily inform permanence outcomes, or if they represent avoided emissions or temporary carbon removal co-benefits.
No
Notes
If storage results in a functionally stable form of CO₂ on a short timescale — for example, via subsurface mineralization or mineralization in concrete — demonstration that the stable form has been achieved is enough to establish durability. However, if the integrity of storage requires ongoing monitoring and maintenance — for example, with the injection of supercritical CO₂ — an evaluation of durability claims must consider the monitoring and maintenance plan, as well as any applicable regulatory structure that assigns ongoing liability for storage integrity. One important consideration is whether or not there is a track record of sufficient administrative capacity to guarantee execution of monitoring, maintenance, and liability arrangements. This uncertainty is not included in the calculation of this pathway's Verification Confidence Level (VCL), because it is also captured by the Leakage component.
Biomaterial Injection
v1.0
VCL
3-5
The Verification Confidence Level (VCL) summarizes the uncertainty mapping and represents the extent to which net carbon removal and storage durability can be confidendently quantified using the best approaches available today on a scale of 1 (low confidence) to 5 (high confidence). Note that a low VCL corresponds with high component uncertainties, and vice versa.
Biomass with carbon removal and storage (BiCRS) uses photosynthesis to remove CO₂ from the atmosphere, and transforms the resulting biomass (e.g. via pyrolysis) and its environment (e.g. via geologic injection) to achieve long-term storage. This pathway is VCL 3-5, meaning that current quantification capacity can establish permanent carbon removal, but that for certain approaches, significant uncertainties remain. View pathway documentation.