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Record W3128331301

Greening the grid : powering Alberta's future with renewable energy

2009· article· en· W3128331301 on OpenAlexaboutno aff
John Bell, Tim Weis

Bibliographic record

VenueOSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2009
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
Fundersnot available
KeywordsRenewable energyElectricityElectricity generationNuclear powerEnvironmental economicsWind powerEnergy developmentNatural resource economicsBusinessEngineeringEconomicsPower (physics)
DOInot available

Abstract

fetched live from OpenAlex

The Government of Alberta released a statement in its 2008 provincial energy strategy that alternative and renewable energy sources will play a growing role in the province's energy future. This report provided an examination of the extent to which cleaner alternatives to coal, nuclear and other non-renewable resources could be deployed to meet Alberta's electricity consumption over the next 20 years, which is expected to be almost twice the current level of consumption. This report also provided background information on electricity generation in Alberta; a history of electricity in Alberta and electricity in Alberta today; and projecting future needs. The impacts of electricity generation were also presented as they relate to greenhouse gases; other pollution; water use; land use; flora and fauna; employment; and cost. Cleaning Alberta's grid from the perspective of improved efficiency was also examined. Specific renewable energy sources and their technological descriptions that were analysed included wind power; hydro; biomass; geothermal electricity; cogeneration for industry and buildings; recovered industrial energy; micropower; and virtual power plants. Several scenarios were offered, such as business as usual; pale green scenario; and the green scenario. It was recommended that the Government of Alberta assemble a task force or expert panel, analogous to those that have already been assembled to look at nuclear energy and carbon capture and storage, to examine the best ways of promoting renewable electricity. 23 tabs., 44 figs., 1 appendix.

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)0.001
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: none
Teacher disagreement score0.948
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.007
GPT teacher head0.225
Teacher spread0.218 · 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

Citations23
Published2009
Admission routes1
Has abstractyes

Explore more

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