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Potential contribution of biogas to net zero energy systems – A comparative study of Canada and Germany

2025· article· en· W4406239334 on OpenAlexaffabout
Daniela Thrän, Adekunbi Adetona, Malgorzata Borchers, Karl-Friedrich Cyffka, Jaqueline Daniel‐Gromke, Katja Oehmichen

Bibliographic record

VenueBiomass and Bioenergy · 2025
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsBiogasNet (polyhedron)Net energyZero (linguistics)Environmental scienceMathematicsEngineeringWaste managementBiologyAnimal science

Abstract

fetched live from OpenAlex

Urgent action is needed to stay within the Paris Agreement's temperature goal of limiting global average temperature rise to 1.5 Celsius above the pre-industrial levels. Very stringent emissions reduction and accelerated transition from fossil fuel-based to low- or zero-carbon systems is key, together with additional atmospheric carbon removal to control remaining anthropogenic CO 2 levels. Biogas, derived from organic residues and waste, can not only provide a valuable sustainable substitute for natural gas, but also serve as a tool for carbon dioxide removal, e.g. when combined with CO2-separation during upgrading to biomethane, or through usage of digestate (including biochar). Moreover, as a mature technology, it provides a significant near-term opportunity for bioenergy with carbon capture and storage. This study assesses the potential contribution of biogas made from biogenic residues and waste to net-zero energy systems. Our comparative analysis includes a biomass potential assessment, a review of current biogas production practices, and an examination of CO 2 flows along the biogas value chain. We present a consolidated and harmonized dataset for Germany and Canada, identifying a significant potential to contribute to CO 2 emission reductions, with an estimated 30 million tons per year in each country. The contrast between the two countries is informative. In Germany, the provision of biogas and biomethane is already widely established, whereas Canadian biogas usage is still at an early stage in certain provinces. Canada, however, has a stronger focus on CO 2 separation, and more coherent options for carbon capture and storage. To unlock their full potential, each of the two countries' distinct strategies could draw on the other country's complementary experience in deriving an optimal solution. • Biogas provision can contribute to carbon dioxide removal in different ways. • Germany and Canada have reasonable biogenic residue streams for biogas production. • Both countries could capture up to 30 million tons CO2 per year with biogas. • Between the countries, different implementation strategies are necessary.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.897
Threshold uncertainty score0.551

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.257
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2025
Admission routes2
Has abstractyes

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