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Bioenergy under the EU Taxonomy
Bioenergy is among the most evidence-intensive Taxonomy activities: alignment rests on the Renewable Energy Directive’s sustainability criteria, a high greenhouse gas saving threshold against the fossil comparator, and feedstock traceability. Plants running on genuine wastes and residues with documented supply chains assess well; anything touching land-use questions works harder.
Why this activity matters
Bioenergy spans electricity generation, heat and biogas/biomethane production, and the Taxonomy treats each as its own activity while anchoring all of them to the RED II sustainability framework. The core quantitative test is a greenhouse gas saving, on the order of eighty percent, against the relevant fossil fuel comparator, calculated on a life-cycle basis.
The evidential burden sits in the feedstock: agricultural residues, manures and source-segregated wastes carry lighter land-use requirements than dedicated crops, and forest biomass triggers its own criteria. Certification schemes (such as ISCC) and national registrations typically provide the traceability evidence. For anaerobic digestion, digestate quality against fertiliser regulations is an additional recurring criterion. Well-documented waste-based plants are strong candidates; the assessments that struggle are those where the supply chain is asserted rather than evidenced.
What alignment requires
The architecture combines RED II compliance, a GHG saving threshold, and technology-specific points. In summary:
| Area | What is required (summarised) |
|---|---|
| RED II sustainability | Feedstocks must meet the applicable Article 29 sustainability and land-use criteria; requirements scale with feedstock type, with wastes and residues lightest and forest biomass most demanding. |
| GHG saving | Life-cycle GHG savings on the order of eighty percent against the relevant fossil fuel comparator, calculated per the RED methodology. |
| Digestate (AD plants) | For anaerobic digestion, digestate used as fertiliser should meet the applicable quality requirements (EU Fertilising Products Regulation limits). |
| Efficiency (scale-dependent) | Larger combustion installations face high-efficiency cogeneration or electrical efficiency expectations; small installations may fall under exemption thresholds. |
Summarised for orientation; the assessment itself applies the full criteria text of the Delegated Acts as amended.
Where DNSH scrutiny falls
Combustion emissions against the applicable regime: medium plants under the MCP Directive limits, large plants under BAT-AELs.
Process and cooling water management; for AD, containment and discharge protocols.
Feedstock land-use questions resurface here for crop-based supply chains; site-level screening for the plant itself.
CRVA including feedstock supply resilience, a genuinely climate-sensitive dependency for bioenergy.
Documentation that typically supports the assessment
- Feedstock composition and volumes with supply chain traceability (ISCC or equivalent certification, national registrations)
- Life-cycle GHG saving calculation against the fossil comparator (RED methodology)
- Digestate quality analyses against fertiliser regulation limits (AD plants)
- Permits and emissions monitoring for the combustion plant
- Efficiency data and heat utilisation (CHP) where applicable
How Censatim assesses it
Bioenergy is where our appendix-level depth earns its keep: the questioning maps feedstocks to the correct RED II requirements, tests the GHG saving calculation, and covers digestate, efficiency and combustion emissions by plant size. Because the criteria are feedstock- and scale-sensitive, precise inputs produce markedly better assessments; this is the activity where uploaded certification documents most improve confidence.
Censatim is an expert-built EU Taxonomy assessment tool: describe the asset or activity in plain language, upload supporting documents, and answer a short set of targeted questions. The result is a criterion-by-criterion view with an In-line / Partial / Not aligned / Undetermined rating and a confidence level for each dimension. See the full methodology.
Frequently asked questions
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