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Record W7055348549

Comparative life cycle assessment of prospective battery-grade material production in Norway

2022· dissertation· en· W7055348549 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDuo Research Archive (University of Oslo) · 2022
Typedissertation
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsRaw materialBattery (electricity)ElectricityLife-cycle assessmentProduction (economics)Pig ironElectricity generation
DOInot available

Abstract

fetched live from OpenAlex

The manufacturing of battery grade materials is electricity intensive and currently\ndominated by China. Several European countries are exploring options of\nventuring into locally produced raw materials for battery manufacturing. In\nNorway, four battery manufacturing facilities are planned or under construction\nwhich increases the need for locally manufactured battery grade materials. This\nstudy investigates the potential impacts of producing nickel, cobalt and manganese\nsulfate in Norway, a country known for its renewable-sourced electricity. A high\nresolution model is developed for each of the three battery grade materials which\nconsiders individual steps of the value chain from mining to the final product.\nThis is vital in the modelling as some processes, especially those pertaining to\nmining and ore processing occur outside of Norway. Environmental impacts of\nthese battery grade materials are performed with Arda, an in house LCA calculator\nusing ReCiPe2016 as midpoint characterization method.\n\nThe results show that, producing nickel and cobalt sulfate in Norway yields 3.3kg\nCO2eq. and 7.7kg CO2eq., respectively, with the highest contribution from ore\nprocessing which occurs in Canada. Manganese sulfate produced in Norway\nwith ores mined in Gabon causes a GWP of 1.3 kgCO2eq., mainly due to metal\nrefining impacts. The results are benchmarked with other studies performed\nacross different geographical system boundaries to depict the emission reduction\nopportunities in producing these battery grade materials in Norway. What is\nobserved is that, production of these sulfates in Norway has significant emission\nreduction benefits as compared to other studies reported in the scientific literature.\nTo increase the robustness of the analysis, the thesis further develops scenarios\nto investigate the effect of changes in the electricity mix intensity of different\nmining and production countries on the overall GWP. Within these scenarios, the\nNorwegian case still emerges with the lowest GWP. Results of this study indicate\nthat producing battery grade materials in Norway has prospects of reducing the\nemissions associated with cell materials in lithium-ion batteries. Furthermore,\nfrom the scenarios developed, the GWP of cathode precursors can be significantly\nreduced by using low carbon electricity in both mining and producing countries.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.849
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.304
Teacher spread0.274 · 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