MétaCan
Menu
Back to cohort
Record W2133500463 · doi:10.2118/09-08-14-ge

Carbon Recycling: An Alternative to Carbon Capture and Storage

2009· article· en· W2133500463 on OpenAlexaffabout
Rowan Oloman

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsVancouver Biotech (Canada)
Fundersnot available
KeywordsTonneGreenhouse gasFossil fuelCarbon capture and storage (timeline)Bio-energy with carbon capture and storageEnvironmental scienceWaste managementNatural resource economicsGreenhouse gas removalInterimCarbon dioxideClimate change mitigationEnvironmental protectionEngineeringClimate changeChemistryEconomicsGeologyGeography

Abstract

fetched live from OpenAlex

Introduction Carbon capture and storage (CCS) is being hailed as the answer to the globe's most pressing question: what to do with the 27 billion metric tons of carbon dioxide emitted yearly from the burning of fossil fuels? Touted as the most promising interim solution to deal with the greenhouse gas responsible for global warming, CCS still remains unproven, costly and will not be commercially available for another 10 to 20 years. Meanwhile, scientists are exploring alternatives to CCS by capitalizing on CO2 as a commodity instead of treating it as a waste. Background Twenty-seven billion tons of CO2 is already a hefty number, but energy-related carbon dioxide emissions are projected to reach 43 billion metric tons per year by 2030; an increase of 60%. A new report by the International Energy Agency (IEA) estimates that growing energy demands from emerging giants like China and India, coupled with a lack of cost-effective alternatives to fossil fuels, means that by 2050, 77% of the world's power will still be derived from fossil fuels(1). "We will require immediate policy action and a technological transition on an unprecedented scale," IEA Executive Director Nobuo Tanaka said in Tokyo after releasing the report. Carbon capture and storage (CCS), the process of capturing carbon dioxide and storing it in deep geological formations in the ocean or as mineral carbonates, is being promoted by the IEA and others as the most promising technology to deal with fossil fuel derived emissions. Not negating the role of alternative energies, the IEA is merely realistic about the enduring use of fossil fuels and the urgent need to deal with the resulting carbon dioxide. Addressing Carbon Capture and Storage On May 15th, 2009, U.S. Secretary of Energy Steven Chu announced at the National Coal Council that US$2.4 billion from the American Recovery and Reinvestment Act will be used to expand and accelerate the commercial deployment of carbon capture and storage technology, including financing to train a generation of engineers and geologists to work in the field. Chu said,: To prevent the worst effects of climate change, we must accelerate our efforts to capture and store carbon in a safe and cost-effective way." Governments in Europe, Australia, Canada and China are also strongly investing in the technology. Nevertheless, several massive hurdles still stand in the way of full-scale CCS deployment. UK consulting firm, McKinsey, figures that adding CCS to the next generation of European power plants could boost their price by up to US$1.3 billion each. Their thorough analysis(2) shows that the typical cost of a demonstration project is likely to be in the range of US$80 ? $120 per tonne of CO2 sequestered. Legally, there are concerns over whether CO2 transport and long-term storage present human or ecosystem related risks, and who is ultimately responsible if a leak occurs. While progress is underway in some countries, no country has yet developed the comprehensive, detailed legal and regulatory framework that is necessary to effectively govern the use of CCS.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.666
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.236
Teacher spread0.227 · 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 designNot applicable
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

Citations2
Published2009
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Canadian Petroleum TechnologySame topicCO2 Sequestration and Geologic InteractionsFrench-language works237,207