Biochar application to soils

V2.0

Module name	Biochar application to soils
Module category	Carbon storage
Methodology name	Biomass carbon removal and storage (BiCRS)
Version	2.0
Methodology ID	RIV-BICRS-CS-BCSOIL-V1.0
Release date	September 12th, 2024
Status	Public consultation

Glossary

This is a Carbon Storage Module and covers the biochar application to soils. This module is part of the Riverse BiCRS methodology, which allows Project Developers to choose the relevant modules for their project, and shall be used with the necessary accompanying modules.

See more details on how modules are organized in the BiCRS home page.

How to use this module

BiCRS Methodology

Scope of the module

This module covers industrial biochar projects that generate high-quality biochar from waste and residual biomass feedstock inputs, and apply the biochar to agricultural, forest or urban soils, where it permanently sequesters its organic carbon content.

Biochar may be applied directly to soils, or may be incorporated into products that will be applied to soils, such as soil additives, horticultural substrates, potting soil, fertilizer mixes, or compost.

Projects may be designed to prioritize bio-oil or bioenergy production, where biochar is the co-product. Such projects may still be eligible for removal Riverse Carbon Credits under this module, if they meet all criteria outlined herein.

This module also covers any potential avoided horticultural products from the use of biochar.

Eligible Project Developers

The Project Developer and entity eligible for receiving carbon finance may be either:

• the operator of the biochar production site, or

• land owners or managers who purchase biochar and apply it to their soil.

Pyrolyzer and gasification equipment manufacturers are not eligible Project Developers.

Production batches

Measurements and reporting are performed for production batches. A production batch is the biochar produced under the same conditions regarding production temperature and feedstock mix. It is assumed that all biochar from the same production batch has similar characteristics (i.e. $H/C_{\text{org}}$, moisture content…).

Specifically, the definition of a production batch follows the definition, where pyrolysis temperature and biomass feedstock composition must not change by more than 20%.

For example, if the declared pyrolysis temperature is 600 °C, temporary fluctuations between 480 °C and 720 °C are acceptable.

If a mixture of 50% tree clippings and 50% nut shells is pyrolyzed, the proportions can vary between 40% and 60% (±10% of the original 50%)

A production batch has a maximum validity of 365 days, after which biochar shall be considered part of a different production batch even if conditions are unchanged.

Information about production batches may be monitored continuously by Project Developers by uploading claim information to the Riverse MRV platform. All claims from one calendar year are audited together annually by a third party VVB for verification and issuance of credits.

Eligibility criteria

The eligibility criteria requirements specific to this module are detailed in the sections below. Other eligibility criteria requirements shall be taken from the accompanying modules and methodologies:

BiCRS methodology

• Additionality

• No double counting

• Targets alignment

Other modules

• Substitution

• Co-benefits

• No double counting

• ESDNH

• Leakage

Riverse Standard Rules

• Measurability

• Real

• TRL

• Minimum impact

Permanence

Estimating permanent carbon fraction

Projects issuing removal RCCs from biochar application to soil may claim one of two different permanence horizons, depending on their GHG reduction quantification method: a permanence horizon of 100 years or 1000 years.

Permanence is ensured by measuring one of the following characteristics of biochar that are known indicators of carbon stability:

• 100 year pathway: Hydrogen and organic carbon content ($H/C_{\text{org}}$). $H/C_{\text{org}}$ must be less than 0.4 to be considered eligible for 100-year permanent removals.
• 1000 year pathway: Random reflectance. The fraction of the biochar that has a random reflectance of 2% or higher can be considered inertinite, which is an extremely stable, permanent storage of mineral carbon.

The distinction between the two permanence horizons is supplementary, qualitative information that does not affect the inherent attributes of the removal RCC.

These indicators are suitable proof that a substantial fraction of the carbon present in biochar is permanently stable. The specific amount of permanently stored carbon is determined using the models and equations detailed in the GHG reduction quantification section.

These indicators shall be monitored for each production batch according to the Riverse Sampling Requirements.

Risk of reversal

Project Developers shall fill in the Riverse Biochar application to soils risk evaluation to evaluate the risk of carbon storage reversal, based on social, economic, natural, and delivery risks.

Project Developers shall assign a likelihood and severity score to each risk, and provide an explanation of their choices. The Riverse Certification team shall evaluate the assessment and may recommend changes to the assigned scores.

The Project Developer, Riverse Certification team, or the third-party auditor may suggest additional risks to be considered for a specific project.

Each reversal risk with a high or very risk score is subject to:

• risk mitigation plan, developed by the Project Developer, that details the long-term strategies and investments for preventing, monitoring, reporting and compensating carbon removal reversal, OR

• additional contributions to the buffer pool, at a rate of 3% of verified removal Riverse Carbon Credits for each high or very high risk

No double counting

See the BiCRS methodology No double counting section for general requirements on this topic.

Since both biochar producers and users are eligible for removal RCCs under this methodology, additional details are provided here. If only one party seeks to issue carbon credits, this must be proven through signed agreements, minimizing the risk of double counting..

If both the biochar producer and user aim to issue carbon credits, the credited biochar amount for each entity must be clearly tracked, reported separately, and governed by signed agreements defining which party receives credits for specific biochar quantities.

For example, if a biochar producer seeks to issue carbon credits, they must obtain a signed agreement from the farmer stating that they will not claim carbon credits for the biochar use.

If the farmer also seeks to issue carbon credits, oth parties must agree on how the annual biochar production is divided for credit issuance.

For clarity, it is recommended to separate and track this information at the Production Batch level. However, if the Project Developer/s can adequately track biochar at the sub-Production Batch level, this may be accepted.

Co-benefits

Project Developers shall prove that their project provides at least 2 co-benefits from the UN Sustainable Development Goals (SDGs) framework (and no more than 4).

Common co-benefits of biochar application to soil, and their sources of proof, are detailed in Table 1. Project Developers may suggest and prove other co-benefits not mentioned here.

Table 1 Summary of common co-benefits provided by biochar application to soils projects. Co-benefits are organized under the United Nation Sustainable Development Goals (UN SDGs) framework.

UN SDG	Example	Proof
SDG 12.2 - Achieve the sustainable management and efficient use of natural resources	The project’s will be measured by the , according to the Ellen MacArthur Foundation's methodology. The indicator is expected to be 100% circularity for all biochar projects, since they use biomass feedstock and do not landfill or incinerate their product.	Type of feedstocks used, verification of end use of biochar
15.1 Ensure the conservation, restoration and sustainable use of terrestrial and inland freshwater ecosystems and their services	Biochar application to agricultural soils can therefore reducing the amount of land, pesticides, fertilizer, and other environmentally impactful resources needed to grow food	Proof of biochar use in agriculture as opposed to other applications: contract, invoices, receipts of sale of biochar to farmers.

Substitution

If Project Developers can prove that their biochar product replaces a specific and known amount of a specific product, (e.g. a known fraction of a horticultural substrate mix), then the product may be considered as replaced and avoided. A non-exhaustive list of possible replaced products include:

• Horticultural peat/peat moss

• Lime

• Perlite and vermiculite

• Synthetic mineral fertilizers (only when biochar is used as an ingredient in fertilizer mixes, not when it is directly applied to soils)

Project Developers must prove that:

• the biochar is an appropriate and realistic substitute for the avoided product, and

• that the user of the biochar actually uses less of the horticultural product than they did previously

In other words, it is not sufficient to prove that biochar could technically substitute products, because there is high uncertainty in which products biochar would actually substitute. It must be shown using operations tracking or invoices from the biochar user that they actually use less of the replaced product, thanks to the addition of biochar.

By default, it shall be assumed that biochar application to soils does not replace any measurable, verifiable product.

If only removal RCCs are issued, then this eligibility criteria is not applicable.

Note that avoidance from energy co-products is covered in a a separate module.

Environmental and social do no harm

Project Developers shall prove that the project does not contribute to substantial environmental and social harms.

Projects must follow all European, national, and local environmental regulations related to, for example, pyrolysis, gasification, waste feedstock management, and biochar spreading on soils.

Feedstock sustainability risks shall be taken from the Biomass feedstock module.

Biochar applied to soils must be below the pollutant concentration thresholds outlined in Table 2, defined by the (for EBC-Agro). This shall be measured for each production batch.

Table 2 The thresholds for pollutant concentrations allowed in biochar, as detailed in the .

Substance	Limit amount (g/tonne dry matter)
Pb	120
Cd	1.5
Cu	100
Ni	50
Hg	1
Zn	400
Cr	90
As	13
8 EFSA PAH	1
benzo[e]pyrene benzo[j]fluoranthene	<1

ESDNH risk evaluation

Project Developers shall fill in the Riverse Biochar application to soils risk evaluation, to evaluate the identified environmental and social risks of projects. The identified risks include:

• Heavy metal or other pollutants in biochar applied to agricultural soils

All risk assessments must also address the Minimum ESDNH risks defined in the Riverse Standard Rules.

Project Developers shall assign a likelihood and severity score of each risk, and provide an explanation of their choices. The VVB and Riverse’s Certification team shall evaluate the assessment and may recommend changes to the assigned scores.

All risks with a high or very high risk score are subject to a Risk Mitigation Plan, which outlines how Project Developers will mitigate, monitor, report, and if necessary, compensate for any environmental and/or social harms.

Additional proof may be required for certain high risk environmental and social problems.

The Project Developer, the Riverse Certification team, or the VVB may suggest additional risks to be considered for a specific project.

Note that the life-cycle GHG reduction calculations account for the climate change impacts of most environmental risks. Nonetheless, Project Developers shall transparently describe any identified GHG emission risks in the risk evaluation template.

GHG quantification

The GHG reduction quantification instructions from all other modules used by the project must be used in conjunction with the present module in order to obtain full life-cycle GHG reduction quantifications.

The system boundary of this quantification section starts at the arrival of biochar at the field for spreading, and ends at the biochar end of life, after accounting for decay and re-emission in its end use application. This may be direct application in soils, or mixing in products which will then be applied to soils.

Quantification shall be done for each biochar production batch. Verification shall be done annually by summing the GHG reduction quantifications for each production batch produced in the calendar year.

GHG emissions covered in this module include:

• Permanent carbon storage modeling

• Production of avoided baseline scenario materials

Data sources

The required primary data for GHG reduction calculations from projects are presented in Table 2. These data shall be provided for each production batch and made publicly available.

Table 2 Summary of primary data needed from projects and their source for initial project certification and validation. Asterisks (*) indicate which data are required to be updated annually during verification (see Monitoring Plan section).

Option 1: 100-year removals with H/C

Parameter	Unit	Source
Amount of biochar produced*	Tonnes of fresh matter	Internal tracking documents, invoices, contracts
Biochar $H/C_{\text{org}}$*	Ratio	Laboratory chemical analyses
Organic carbon content	Percent	Laboratory chemical analyses
Biochar *	Percent	Laboratory chemical analyses
Amount and type of avoided horticultural product (optional)	kg, tonnes, m3	Operations tracking and invoices from the product user

Option 2: 1000-year removals random reflectance

Parameter	Unit	Source
Amount of biochar produced*	Tonnes of fresh matter	Internal tracking documents, invoices, contracts
Organic carbon content	Percent	Laboratory chemical analyses
Average random reflectance $R_o$	Percent	Laboratory chemical analyses
Fraction of $R_o$ distribution measurements above 2%	Fraction	Laboratory chemical analyses
Biochar *	percent	Laboratory chemical analyses
Amount and type of avoided horticultural product (optional)	kg, tonne, m3	Operations tracking and invoices from the product user

The version 3.10 (hereafter referred to as ecoinvent) shall be the main source of emission factors unless otherwise specified. Ecoinvent is preferred because it is traceable, reliable, and well-recognized. The ecoinvent processes selected are detailed in Appendix 1.

No other secondary data sources are used in this module.

Co-product allocation

The rules outlined at the methodology-level in the BiCRS methodology document shall be applied for allocating GHG emissions between co-products.

Assumptions

1. By default, biochar application to soils does not replace any product.

2. The fraction of biochar that has an $R_o$ below 2% does not contribute to any permanent carbon storage.

Baseline scenario

A baseline scenario shall only be considered if the project meets the Substitution criteria and seeks to claim avoidance RCCs.

By default, it shall be assumed that biochar application to soils does not replace any measurable, verifiable product.

If Project Developers can prove that their biochar product replaces a specific and known amount of a specific product, then the product may be considered as replaced and avoided.

Examples of ecoinvent processes for these products are presented in Appendix 1.

Note that avoidance from energy co-products will be covered in a separate module.

Calculations - Avoidance credits

$\textbf{(Eq.1)}\ E_{avoided} = (E_{baseline} - E_{biochar\ prod})*A_{biochar}$

where,

• $E_{avoided}$ represents the total avoided emissions from biochar during the verification period, in tonnes of CO$_2$eq.
• $E_{baseline}$ represents the life cycle emissions of the replaced product defined in the baseline scenario, per unit replaced by 1 tonne of dry biochar, in tonnes of CO$_2$eq. The emission factor shall be taken from ecoinvent. Examples of ecoinvent processes are presented in Appendix 1.
• $E_{biochar\ prod}$ represents the sum of induced life cycle emissions of biochar production, in tonnes of CO$_2$eq. per tonne of dry biochar. This includes all emissions from the required modules stated above, and does not include any carbon removals.
• $A_{biochar}$ represents the amount of biochar produced during the verification period, in tonnes of fresh biochar.

Project scenario

Project Developers must choose between one of two methods to quantify the total carbon removals from their biochar product, as described in the Permanence section:

1. Modeling 100-year removals using bulk measurements of $H/C_{\text{org}}$, or
2. Estimating 1000-year removals using random reflectance measurements as proxies for inertinite.

Option 1: Modeling 100-year removals with $H/C_{\text{org}}$

This method is based on the research from , which builds upon work from , and the . It is rooted in soil ecology and soil biochemistry disciplines.

The permanent fraction of biochar carbon remaining after 100 years ( $F_{\text{perm 100}}$) is modeled using the exponential model fit represented in Equation 2 below. This model was chosen because it is the most conservative option proposed in , and is least likely to overestimate carbon removals.

For verification, Project Developers shall provide primary project data in the form of laboratory measurements for $H/C_{\text{org}}$ and M_{\text{%}} following the Sampling requirements.

Calculations - 100-year removal credits with $H/C_{org}$

$\textbf{(Eq.2)}\ F_{perm\ 100} = 1.18 - 0.752*H/C_{org}$

where,

• $F_{perm\ 100}$ represents the fraction of biochar carbon remaining after 100 years
• $H/C_{org}$ represents the ratio of molar hydrogen to organic carbon in biochar, measured by laboratory analysis for each project.

$\textbf{(Eq.3)}\ C_{removal\ 100}= F_{perm\ 100}*{C_{org}*A}_{biochar}*(1 - M_{\%})*C\ to\ {CO}_{2}$

where,

• $C_{removal\ 100}$ represents the total carbon removals from biochar during the verification period, in tonnes of CO$_2$eq.
• $F_{perm\ 100}$ is calculated in Equation 2
• $C_{org}$ represents the concentration of organic carbon in biochar, on a weight basis
• $A_{biochar}$ is described in Equation 1.
• $M_{\%}$ represents the moisture content of biochar, on a weight basis (%w/w), so $1-M_{\%}$converts to dry mass of biochar
• $C\ to\ {CO}_{2}$ is 44/12 = 3.67, and represents the molar masses of CO$_2$ and C respectively, and is used to convert tonnes C to tonnes of CO$_2$eq.

$\textbf{(Eq.4)}\ Net\ C_{removal\ 100} = E_{biochar\ prod} - C_{removal\ 100}$

where,

• $Net\ C_{removal\ 100}$ represents net carbon removals with a 100 year permanence horizon from the project during the verification period.
• $E_{biochar\ prod}$ is described in Equation 1.
• $C_{removal\ 100}$ is calculated in Equation 3.

Option 2: Estimating 1000-year removals using random reflectance

This method is based on the research from , and is rooted in the organic petrology and geochemistry disciplines.

This method is built upon research showing that fractions of inertinite in biochar samples are:

• and will not re-release their carbon for at least 1000 years.

• represented by the fraction of the sample with a Random Reflectance ($R_o$) of .

For verification, Project Developers shall provide primary project data in the form of laboratory measurements for $R_o$ distribution and M_{\text{%}} per production batch following the Sampling requirements.

$R_o$ distribution shall be calculated on at least 500 measurements, yielding a distribution diagram similar to the examples in Figure 1.

The fraction of the distribution with an $R_o$ above 2% shall be assumed to equal the fraction of the biochar carbon that is stored permanently for 1000 years. The fraction

The fraction of the distribution with an $R_o$ below 2% shall represent the fraction of biochar carbon that is not permanently stored, and for which no removal RCCs are issued.

Chart

Example 1: The biochar sample has a mean $R_o$ of 2.12, and 72% of the $R_o$ measurements are above the 2% inertinite threshold. Therefore, this biochar sample has an $F_{\text{perm}}$ 1000 of 0.72, and 72% of the organic carbon in the sample will be converted to CO$_2$eq and considered as 1000-year carbon removals. The remaining 28% of carbon is assumed to decompose within the 1000-year permanence horizon, and is not considered for any removal RCCs.

Chart

Example 2: The biochar sample has a mean $R_o$ of 2.32, and 95% of the $R_o$ measurements are above the 2% inertinite threshold. Therefore, this biochar sample has an $F_{\text{perm}}$1000 of 0.95, and 95% of the organic carbon in the sample will be converted to CO$_2$eq and considered as 1000-year carbon removals. The remaining 5% of carbon is assumed to decompose within the 1000-year permanence horizon, and is not considered for any removal RCCs.

Calculations - 1000-year removal credits with random reflectance

$\textbf{(Eq.5)}\ F_{perm\ 1000} = \sum {Sample\ percent}_{> 2\%\ Ro} \div 100$

where,

• $F_{perm\ 1000}$ represents the fraction of biochar carbon remaining after 1000 years
• ${Sample\ percent}_{> 2\%\ Ro}$ represents the percent of the distribution sample that has a random reflectance ($R_O$) of 2% or higher.

$\textbf{(Eq.6)}\ C_{removal\ 1000}=F_{perm\ 1000}*{C_{org}*A}_{biochar}*{(1 - M}_{\%})*C\ to\ {CO}_{2}$

where,

• $C_{removal\ 1000}$ represents the total carbon removals from biochar during the verification period, in tonnes of CO$_2$eq.
• $F_{perm\ 1000}$ is calculated in Equation 5
• $C_{org}$, $M_{\%}$, and $C\ to\ {CO}_{2}$ are described in Equation 3.
• $A_{biochar}$ is described in Equation 1.

$\textbf{(Eq.7)}\ Net\ C_{removal\ 1000} = E_{biochar\ prod} - C_{removal\ 1000}$

where,

• $Net\ C_{removal\ 1000}$ represents net carbon removals with a 1000 year permanence horizon from the project during the verification period
• $E_{biochar\ prod}$ is described in Equation 1
• $C_{removal\ 1000}$ is calculated in Equation 6

Uncertainty assessment

See general instructions for uncertainty assessment in the Riverse Standard Rules. The outcome of the assessment shall be used to determine the percent of avoided emissions to eliminate with the .

The two assumptions presented in the Assumptions section have moderate uncertainty, but the most conservative approach is taken in the quantifications.

The baseline scenario selection (if applicable) has low uncertainty, because the specific circumstances, amount and type of baseline material must be proven by the Project Developer.

The equations and models have low uncertainty. The model for 100-year permanence from has moderate uncertainty because it is a model fitted to experimental data, which always introduces variability. The most conservative model is used here: the exponential fit model. The equations for 1000-year permanence from have low uncertainty because they are basic conversion equations.

No estimates and secondary data are used in this methodology, and do not add to uncertainty.

The uncertainty at the methodology level is estimated to be low. This translates to an expected discount factor of at least 3% for projects under this methodology.

Sampling requirements

The following indicators shall be measured for each production batch:

• $H/C_{\text{org}}$
• Carbon content (organic and/or total)

• moisture content

• random reflectance (only if applying for 1000-year permanence)

Measurements shall be performed by laboratories with at least one quality assurance accreditation, such as:

• ISO/IEC 17025

• CEN/TS 17225-1

• ISO 10694

Unaccredited laboratories from academic settings shall be evaluated on a case by case basis by the VVB and the Riverse certification team.

Representative sampling

One representative sample per Production Batch shall be created and sent for laboratory testing. A representative sample ensures that any within-batch variability is captured in the measurements.

Sampling requirements are based on the following sources:

Table 1 details the number of composite samples that shall be taken per Production Batch to obtain one representative sample, based on the .

Table 1

Annual output (tonnes)	Composite samples per Production Batch (n)
≤ 3 000	4
3 001 – 10 000	8
10 001 – 20 000	12
20 001 – 40 000	16
40 001 – 60 000	20
60 001 – 80 000	24
80 001 – 100 000	28

The shall be followed to ensure representative cross-sectional sampling. Those requirements are summarized below.

The representative sample will be 24 liters * the n number of composite samples per Production Batch detailed in Table 1.

Continuous production

• The first sample must be taken within 7 days of the start of the Production Batch.

• To prepare one sample, 8 sub-samples of 3 liters each are taken at intervals of at least one hour directly at the discharge of the freshly produced material. This shall be repeated for three consecutive days.

• The 24 subsamples are combined to form one composite sample.

Non-continuous production

• The first sample must be taken within 7 days of the start of the Production Batch.

• Samples may be taken from a well-mixed pile of biochar produced within the last 7 days.

• The amount of biochar used for one sample shall be equivalent to at least one day's production.

• 24 sub-samples of 3 liters each shall be taken from different spots in the pile.

• The 24 subsamples are combined to form one composite sample.

Homogenization

The representative sample shall be homogenized by the Project Developer or by the laboratory that performs testing. The biochar shall be ground to a size of <3 mm.

The ground sample is mixed by shoveling the pile three times from one pile to another.

A sub-sample of 1.5 liters shall be taken from 15 spots in the mixed pile.

The 15 sub-samples are re-combined, and then mixed by shoveling the pile three times from one pile to another.

From the mixed pile of the combined sub-samples, 15 subsamples of 150 ml each shall be taken at 15 different spots in the pile and combined. This combined homogenized representative cross sample shall be sent for laboratory testing.

Retention samples

Retention samples shall be generated either per 3000 tonnes of biochar or one sample per two months, whichever occurs sooner. Retention samples shall be stored in stable conditions for at least two years.

Sampling records

For each Production Batch, Project Developers shall submit a Sampling Record to prove their adherence to the requirements above. Sampling Records shall include the following information for each sample taken:

• Date of sampling

• Amount of biochar sampled

• Sample ID

• Visual description and observation of biochar

• Description of any potential anomalies

• Proof of retention sampling (if performed for that Production Batch)

• Photos showing the date, sample ID, and amount of biochar

Validation and verification requirements

Ex-ante validation data requirements

Biochar projects often use carbon financing to launch new projects, and validation is done ex-ante before the project begins operations. In this case, are estimated using reasonable project data estimates. These provisional credit estimates are converted to verified issued credits upon verification using real project data. Required project data estimates are detailed below.

The estimated $C_{\text{org}}$ shall automatically be discounted by 10% for the validation-stage estimates, in order to ensure conservative estimates and avoid over-estimations.

Option 1: 100-year removals with H/C

An estimated $H/C_{\text{org}}$ ratio and $C_{\text{org}}$ must be provided based on

• equipment manufacturer data/quotes/estimates,

• scientific literature for similar project conditions, or

• verified measurements from other projects under similar conditions.

Option 2: 1000-year removals random reflectance

An estimated $C_{\text{org}}$ must be provided based on the same sources described for Option 1: 100-year removals with H/C. This estimated value shall be used for quantification.

An estimated $H/C_{\text{org}}$ must be provided based on the same sources described for Option 1: 100-year removals with H/C. This estimated value must be below 0.4, and shall be used to ensure that a high level of permanence is expected.

Project Developers must prove that they plan to perform pyrolysis at a temperature of at least 500°C.

Since $R_o$ distributions cannot be reliably estimated before production, a default value of 0.7 shall be assumed for all projects for the purpose of ex-ante validation estimates, given that they meet the above requirements. The real value shall be used for verification and the final issuance of removal RCCs.

Ex-ante validation delivery risk

When validation is conducted on non-operating projects that are in the planning stage, Project Developers shall prove during validation that the biochar is reasonably expected with strong certainty to end up in its intended use (application to soil). This shall be provided by either:

• Option 1: Signed agreements with the end-buyers that they intend to purchase the agreed upon quantity of biochar annually (preferable).

• Option 2: If the project is in planning stages and has not yet secured a buyer, a signed agreement from the Project Developer of their intended buyer/user of biochar. Note that the delivery risk is higher for this option, so Option 1 is preferable. An increased discount factor may be applied.

Verification of biochar end use

Upon verification, once the project has started operating, Project Developers shall prove that biochar has been used in the intended application for each Production Batch, (e.g. incorporated into soils, added to fertilizer mixes…). This shall be done in Biochar Application Verification Reports that shall contain all of the following:

• Tracking records of the purchase and/or delivery of the biochar to its end use point of use, specifying the date, amount of biochar and Production Batch ID.

• GPS coordinates of all end use points with according amounts of biochar, if known to the Project Developer.

• Company name and individual contact information for each buyer/user of biochar, for traceability and random checking by VVBs.

• Photo diary of biochar application, including photos of for example the biochar being delivered, tags/labels with information, road signs during delivery, process of biochar spreading.

Monitoring plan

Monitoring Plans for this module shall include, but are not limited to, tracking of the following information for each Production Batch:

• Description of the pyrolysis conditions (temperature and residence time) and any variability in the process

• Amount of biochar produced, in tonnes of fresh biochar

• Moisture content of biochar

• Organic carbon content

• $H/C_{\text{org}}$ (only for Option 1: Modeling 100-year removals with H/C org)
• Random reflectance ( $R_o$) mean and distribution (only for Option 2: Estimating 1000-year removals using random reflectance)
• ESDNH pollutant measurements

• Biochar Application Verification Reports

• Sampling records

Monitoring Plans for this module shall include, but are not limited to, tracking of the following information for each calendar year:

• Number of Production Batches

• Total amount of biochar produced per year, in tonnes of fresh biochar

The Project Developer is the party responsible for adhering to the Monitoring Plan.

Appendix

The table below presents a non-exhaustive selection of Ecoinvent activities that may be used in the GHG reduction calculations for this module. Additional activities may be used for any project, if the following selection does not cover all relevant activities.

Table A1 List of ecoinvent 3.10 processes used in the GHG reduction quantification model, all processes are from the cutoff database

Input	Ecoinvent activity name
Peat moss	peat moss production, horticultural use, RoW
Perlite	expanded perlite production, CH
Lime	market for lime, RER
Nitrogen mineral fertilizer	market for inorganic nitrogen fertiliser, as N, country specific
Phosphorus mineral fertilizer	market for inorganic phosphorus fertiliser, as P2O5, country specific
Potassium mineral fertilizer	market for inorganic potassium fertiliser, as K2O, country specific
Mineral NPK fertilizer #1	market for NPK (26-15-15) fertiliser, RER
Mineral NPK fertilizer #2	market for NPK (15-15-15) fertiliser, RER

Risk evaluation template

👉 Download the template here

Version history

This page describes the changes in the Biochar application to soils module.

Because this module is considered the V2.0 of the Riverse BECCS and Biochar V1.0 methodology, the table below also includes changes from the Riverse BECCS and Biochar V1.0 methodology that are covered in other modules (e.g. Biomass feedstock).

Description of the change	Justification	Date	Version changed to
Added equations for calculation GHG reductions	Increased transparency.	September 2024	V2.0
Aligned terminology with ISO 14064-2:2019	Improved consistency with the voluntary carbon market. LCA principles still apply.	September 2024	V2.0
Added risk assessment template for environmental and social do no harm	Provide more detailed and prescriptive assessment framework, clearer instructions for project developers.	September 2024	V2.0
Removed text for sections that are the same for all methodologies: Measurability Real Additionality Technology readiness level Minimum impact Independently verified	Repeated text from the Standard Rules.	September 2024	V2.0
Added Monitoring Plan section	Alignment with Riverse Standard Rules V6.	September 2024	V2.0
Remove Rebound Effect and Independently Validated criteria	Alignment with Riverse Standard Rules V6.	September 2024	V2.0
Added uncertainty assessment section	Alignment with Riverse Standard Rules V6.	September 2024	V2.0
Infrastructure and machinery quantification expanded and specified, simple option added	Simplification, results not sensitive to impacts	September 2024	V2.0
New Leakage requirements	More rigorous eligibility criteria, and clear requirements and instructions for Project Developers	September 2024	V2.0
Allow option for 1000 year removals, measurement of random reflectance	Updated research	September 2024	V2.0
Change 100 year modeling option from equations to	Updated research	September 2024	V2.0
Added verification of end use reports	Increased rigor to ensure biochar is used as claimed	September 2024	V2.0
Added precise sampling requirements	Provide Project Developers with clear expectations, ensure representative sampling	September 2024	V2.0
Allow option to monitor data and quantify GHGs per production batch	Facilitate data collection and reporting for Project Developers	September 2024	V2.0
Biomass feedstock shall only be waste and biomass cultivated from sustainable production is not allowed	Increased stringency, following best practice and scientific recommendations	September 2024	V2.0