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Record W2915090626 · doi:10.11575/prism/30082

Economic Evaluation of Wind Power in Albera

2012· article· en· W2915090626 on OpenAlexfundaboutno aff
Jennifer Rumas

Bibliographic record

VenueOpen MIND · 2012
Typearticle
Languageen
FieldEnergy
TopicRenewable energy and sustainable power systems
Canadian institutionsnot available
FundersSuncor Energy Incorporated
KeywordsPower (physics)Wind powerEconomicsEnvironmental scienceEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

To meet forecasted load growth in the Alberta electricity market, various power generation technologies are available. Each has different attributes, benefits and limitations. Wind power generation technology is an attractive option for the reduction of emissions however it also imposes additional costs relative to other technology options. The location, variability and intermittency of wind power generation in the Alberta system create reliability issues (supply always equaling demand in real-time) and efficiency issues that would not exist if no wind capacity was installed. Reliability can be more efficiently attained with less total installed generation and transmission capacity when wind is not in the system. The volatility of output from wind generation also imposes or transfers costs on load and other generators to manage reliability. In order to assess the trade-off between the benefits and costs of wind power generation in Alberta, the effects of wind on the electricity system and the costs it imposes should be analyzed. The effects of various public policies on the results of that analysis will also guide decisions to improve economic efficiency. Comparison of these costs to the benefits of wind as a renewable technology can assist in determining the required willingness to pay for wind as a renewable energy source. Alberta currently has the capacity to generate 939 MW of electricity from wind power, representing approximately 7% of installed capacity. This capacity has come at a cost and reduced market efficiency, as well as affected the objectives of all market participants. It is therefore questionable whether it is efficient to add more wind power capacity to the Alberta electricity grid.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.905
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.000

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 head0.039
GPT teacher head0.316
Teacher spread0.277 · 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.

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

Citations0
Published2012
Admission routes2
Has abstractyes

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