First published: 19.04.2023
Last modified: 19.04.2023
Production
Fermify's Vegan Protein (Casein)
Alternative to cow milk-based protein

Contact info:

Shamita Chaudhary
Production
Fermify's Vegan Protein (Casein)
Alternative to cow milk-based protein
image

As the global population continues to grow, the environmental challenges of producing animal-based proteins are becoming increasingly apparent. At the same time, plant-based alternatives often fall short of replicating the sensory and taste experiences associated with traditional cheese. Fermify is addressing this gap with an innovative approach to milk protein production that eliminates the need for cows. The company offers a decentralized production model, enabling food manufacturers to produce milk proteins directly at their cheese production facilities. This eliminates the need for transport and drying steps, reducing associated resource use and emissions. Fermify's fully automated B2B platform provides a comprehensive solution for casein production, tailored to enhance the quality, sustainability, and scalability of alternative cheese and functional ingredient products. By equipping large food companies with the tools to produce high-quality milk proteins on-site, Fermify aims to transform the dairy industry and support a shift toward more sustainable food systems.

Index

  1. Analysis Parameters
  2. Executive Summary
  3. Life Cycle Overview
  4. Impact Analysis
    1. Impact Aggregation per Scope
    2. Impact Aggregation per Life Cycle Stage
  5. Projections

Analysis Parameters

Goal and scope

Functional Unit

Ton of fermify's Vegan Protein (Casein)

The functional unit that is used for this analysis is the production of 1 tonne of protein (casein).

Benchmark

Cow Milk-Based Protein

The benchmark shows the emissions avoided from producing the equivalent amount of protein from cow milk.

Reference flow

The reference flow is the production of 1 tonne of milk protein from cow milk.

Goal

The goal of this study is to map out the production steps of one tonne of vegan milk protein and measure its related emissions. This way it can be compared to the emissions of the production of one tonne of cow milk protein, which is produced the conventional way. Showing potential emission reductions from this comparison is the goal of the study.

Reason for study

Having a direct comparison of the emissions from vegan cheese protein and cow milk protein, will help decision-making on product development/ improvement and more generally spoken the strategic development of the company. The better the company knows about their own products emissions profile (especially compared to the incumbent product) the better it can work on further reducing carbon emissions and market its product.

Audience

The intended audience is the staff from Fermify and interested third parties, such as investors or governmental bodies.

Scope

System Boundary

The system boundary encompasses the product from cradle to grave, including all the activities from sourcing of required materials to the end-of-life downstream-recycling. The analysis considers Scope 1, 2 and 3 emissions of Fermify’s milkless cheese production.

Lifetime

The milkless cheese has an average lifetime of a week before it gets mouldy. Afterwards there is a potential to compost it. This is, however, not considered quantitatively in this analysis, as this is up to the consumers.

Methodology

Meeting international standards

This analysis adheres to Lifecycle Assessment (LCA) methodologies outlined in ISO 14040, 14044, and 14067, ensuring a structured approach, potential comparability between solutions, and transparency for readers. The report is based on data available during the study and within the agreed scope. Results reflect the best available data and methodologies, with accuracy and reliability dependent on data quality and completeness at the time of the study. Limitations or uncertainties in the data are explicitly stated. The data used is precise (considering uncertainties and variability), complete (capturing all inflows and outflows within system boundaries), representative (aligned with geography, time, and technology), and consistent. It should be noted that LCA results depend on system boundaries, allocation methods, data quality, and assumptions; where deviations may affect outcomes. ClimatePoint impact analysts herein apply professional judgment and relevant standards while maintaining client confidentiality.

Data Quality

Technology coverage

The technology by Fermify represents a technology mix weighted average of the actual process mix in the market segment that Fermify is part of. As there are other companies producing or supporting the production of vegan cheese, the company's solution can be seen as technology mix weighted average.

Temporal coverage

The time of the study is 2023. The data that is provided by Fermify is the most current data available.

Geographical boundary

The company is located in Vienna in Austria, however has international clients in Europe and the US. Therefore, the geographical boundary can be set to Europe and the US.

Assumptions and limitations

This analysis only considers the cheese protein production and not the cheese production as such. As Fermify only provides the equipment (machinery) and input material for producing cheese protein, the analysis excludes any emissions from cheese production itself.

Functional Unit

Ton of fermify's Vegan Protein (Casein)

Executive Summary

Key revelations

The greatest avoided emissions can be attributed to the sourcing of input materials meaning the whole protein (casein) production up until the phase where the protein is turned into cheese. The customer builds hardware stage is the greatest source of emissions for Fermify. This can be explained by the large amounts of steel that is used to build the casein production skids. The analysis showed that Fermify’s cheese can reduce the overall CO2 emissions of casein production considerably. However, regarding the cheese production itself, it is difficult to claim avoided emissions, as modelling the cheese production process as a benchmark has proven not to be very similar.

Insights to Impact Strategy

To maximise avoided emissions Fermify should focus on the hardware transported to the customer, the operational electricity and potentially the cheese production process itself. The first two processes have the highest emissions among all processes and therefore should be a high priority to Fermify. The cheese production process could not have been modelled in this report but is an additional source of potential emissions that should be focused on.

Potential Challenges

There is a large potential to avoid carbon emissions during the casein production with Fermify’s production technique. Modelling the carbon emissions of the full cheese production process has proven to be rather difficult. This was the case mainly due to many uncertainties in the benchmark process. Therefore, we advise to have a second consecutive report that can model Fermify’s cheese production, using conventional cheese production as benchmark, more in detail.

Possible Rebounds

The processes ‘customer builds, hardware’, ‘transport of input material to customer’, ‘transport of microbial strains to customer’ and ‘operational electricity’ are considered rebound processes, as they all potentially result in additional emissions. However, compared to conventional milk protein production, only the hardware that is transported to the customer can be considered an additional rebound process. Due to its large material input of stainless steel, the hardware is an additional source of carbon emissions. Being able to use hardware for the production of Fermify’s protein that is normally used for milk protein production could lead to significant avoided emissions.

Climate Value Proposition

This technology's climate value lies in its potential as a sustainable alternative for conventional cheese (production). The reduction of embodied emissions occurs mainly in Scope 2 upstream by limiting the sourcing of material inputs compared to conventional cheese protein production.

Life Cycle Overview

Understanding your emission profile

This process summary depicts an overview of the most significant emission factors that take place throughout your lifecycle activity. By viewing these intensities alongside each other, you can gauge their relative importance with respect to positive and negative extremes. Each process item listed on the horizontal axis will be described further in the Scope Allocation Analysis where readers can dive into the details behind each of the data points. While this model represents the complete overview, we make sure that each factor is supported by a sound methodology.

Building your impact foundation

Some process items may remain blank because the ClimatePoint team has considered them to be out of project scope, insignificant, or without enough information to analyse. These gaps should eventually be completed as you aim for your emission profile to approach higher levels of accuracy. Because of this presentation, you can understand which additional data is necessary to complete your entire impact profile and accommodate the dynamic growth and scalability of your company. ClimatePoint is here to help you navigate this pathway and optimize your impact strategy.

Benchmark: Cow Milk-Based Protein

Impact Category: Climate change

Process Overview

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Connecting academia with business

The scope allocation analysis is the ClimatePoint strategy to bridge the LCA emission assessment to the world of corporate GHG reporting. When our team approaches a new technology, we start with the most significant aspects that outline both your generated emissions and your avoided emission impact. The following process items represent these key factors backed by a defined methodology approach. This format permits the technology to be strategically aligned with our global climate targets, challenged for verification, and refined with evolution and growth. As the climate solution matures, we can easily update or add process items making this a truly dynamic report. This ClimatePoint approach integrates impact foundations outlined by the international community. To help you interpret the key climate aspects of your technology, we assign each process item two labels to serve as high level indicators.

Your most significant climate impact

The "Score" evaluates processes based on comparative impact: Aligned signifies measurable emission reductions compared to the benchmark; Potential suggests possible alignment pending further verification; Negative denotes additional emissions; Rebound identifies emissions that would have otherwise not occurred with the benchmark; and None represents qualitative assessments. The "Priority" label ranks processes by importance: High indicates critical processes essential for achieving key sustainability objectives, warranting immediate attention; Medium represents processes contributing to the impact profile that require attention but lack urgency; and Low applies to supplementary processes with less immediate impact or those already aligned, allowing deferred action until higher-priority tasks are addressed.

#
Process item
Scope
Score
Priority

Impact Analysis

Functional unit profile

This graph represents the aggregation of all the aforementioned emission factors with respect to the defined functional unit. By selecting a benchmark, the corresponding avoided emissions will also be displayed on the graph. This enables you to see the difference in the emission profile that this climate solution has to the incumbent technology. There is also an effect filter to identify which impact factors only occur once and which recur multiple times, usually throughout the lifetime use of the product or service. You can click the process labels in the legend to hide and show different elements to reveal further insights.

  • Scope 1 Upstream (Direct impact): Emissions sequestered directly from on-site processes such as direct air capture technologies.
  • Scope 1 Downstream (Direct impact): Emissions from sources directly controlled, such as fuel combustion or factory emissions.
  • Scope 2 Upstream (Indirect impact): Emissions from the generation of purchased energy (e.g., electricity, heating) used by the company.
  • Scope 2 Downstream (Indirect impact): Emissions from power sold, such as energy generation emissions from power sold to external users.
  • Scope 3 Upstream (Value chain impact): Activities before production, such as raw material extraction and supplier operations.
  • Scope 3 Downstream (Value chain impact): Activities after production, such as product use, distribution, and end-of-life disposal.
  • Scope 4 (Avoided Emissions): Emissions reductions enabled by a company’s products or services across the entire value chain.

Projections

How to read this section

  • Offering projections: The following forecast has been provided by Fermify and reflects the market outlook of their solution from their own perspective. Production refers to the sourcing of input materials and transport processes, while the market activity relates to the consumer use (i.e. operational electricity use). Finally, the end-of-life of the product is categorised under the same name.

  • Annual Emissions: This bar chart represents the impact per year of the offering projections. The red bars represent the generated emissions, while the green bars represent the avoided emissions reflected on an annual basis. The 'Avoided' = the 'Benchmark' - the 'Generated.' This model represents the year on year emissions of Fermify. Annual emissions are represented by the red and green parts of a bar, where the red signifies generated emissions, and the green indicates avoided emissions. Negative generated emissions denote the company's involvement in carbon sequestration, while positive values indicate additional carbon release. Avoided emissions, negative or positive, reflect the company's impact on preventing or causing additional emissions compared to the benchmark technology it replaces.

  • Cumulative Emissions: This area chart represents the cumulative impact over the lifetime of the solution. The orange area reflects the total anticipated generated emissions, while the green area reflects the total cumulative avoided emissions. The 'Avoided' = the 'Benchmark' - the 'Generated.' This represents the aggregated emissions for each respective year. The graph illustrates the cumulative yearly impact of the offering by displaying the total generated and avoided emissions over time, with red indicating generated emissions and green representing avoided emissions. Negative generated emissions signify the company's contribution to carbon sequestration, while positive values indicate additional carbon release. Avoided emissions, whether positive or negative, depict the company's impact on preventing or causing additional emissions compared to the replaced benchmark technology.

  • Reaching the ClimatePoint: This line chart represents the time at which the offering has reached its 'ClimatePoint' or 'Impact Break-even point'. As with any new technology entering the market, there is an initial investment phase where emissions are generated through equipment, infrastructure, and other necessary resources. ClimatePoint marks the break-even moment when the solution has offset its cumulative emissions and achieved a net positive climate impact. Reaching this point signifies that the technology has successfully reduced emissions by more than 50% compared to the benchmarked alternative. If this milestone is achieved before 2030, the technology is considered aligned with the Paris Agreement. The ClimatePoint marks the moment when the offering achieves a net reduction in emissions by avoiding more than it generates. If this intersection occurs before 2030, the technology aligns with the 1.5-degree target of the Paris Accord, as the accord requires a 43% reduction in emissions by 2030. Achieving this reduction through avoidance rather than generation is considered alignment with the Paris Accord goals.

Scenario 1: Fermify's expectations (planned impact)

This scenario is based on Fermify's expectations of scaling over the coming years. This means having, in total, the following numbers of modules in use: 9 (2024), 21 (2025), 39 (2026), 48 (2027), 56 (2028), 60 (2029), 61 (2030). Each of these modules is assumed to produce 54 tonnes of protein in its first year of operation, 90 tonnes of protein in its second year of operation, and 133 tonnes of protein from its third year onwards. The data on the efficiency increase was

Benchmark 1: Cow Milk-Based Protein

The benchmark shows the emissions avoided from producing the equivalent amount of protein from cow milk.

Scenario 2: One unit per year, starting 2023 (+one skid)

Benchmark 1: Cow Milk-Based Protein

The benchmark shows the emissions avoided from producing the equivalent amount of protein from cow milk.

ClimatePoint
Funding the Future

ClimatePoint AS Universitetsgata 12, 0157 Oslo

ClimatePoint AS, Universitetsgata 12, 0157 Oslo
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