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Record W6884639093 · doi:10.11575/prism/35890

Study Of Regulatory Frameworks Tax And Financial Incentives For Wind And Solar Energy Development In Alberta Canada

2013· other· en· W6884639093 on OpenAlexaboutno aff

Bibliographic record

VenuePRISM (University of Calgary) · 2013
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsRenewable energyIncentiveLegislationTax creditWind powerIncentive programFeed-in tariffOrder (exchange)Energy policySolar power

Abstract

fetched live from OpenAlex

This research project investigates what federal and provincial legal regulatory framework, tax and financial incentives are available for wind and solar energy development in Alberta, and to analyze how adequate and effective they are in order to provide an understanding of where Alberta stands in terms of promoting wind and solar energy resources. It also documents and analyzes barriers to wind and solar energy development in Alberta. Furthermore, it analyzes Ontario’s renewable energy policy particularly its Feed-in-Tariff program with related regulatory framework to provide examples that could be used in Alberta’s context. Using evaluation scheme based on regulatory objectives and measures commonly used to promote renewable energy resources, the research found there are not many federal and provincial legislation and regulations that promote renewable energy resources in Alberta. There are no direct provincial tax and financial incentives in Alberta. However, there are some indirect financial incentives even though they have not been evaluated for effectiveness due to lack of data related to indicators. Analysis of regulatory framework for Ontario demonstrates Ontario meets almost all the regulatory objectives and measures on the evaluation scheme list. In addition, analysis of the Ontario’s Feed-in-Tariff program shows the program is progressing well so far, making Ontario a potential example to study for a possible adoption of its example by Alberta. There were about nine federal tax and financial incentives programs found to be available in Alberta; however, they were not measured for effectiveness due to lack of data. The installed wind capacity from the federal Eco ENERGY for Renewable Power and its precursor, the Wind Power Production Incentive (WPPI) is about 769.50 MW or 69 percent of Alberta’s current wind generation capacity of 1116.6 MW, which demonstrates that these programs have been effective based on installed capacity. Renewable Energy Deployment Initiative (REDI) has been able to promote installations of about 5,884 m2 collector area in Alberta through a total of 41 projects while Eco Energy for Renewable Heat has helped the installations of 4,159.31 m2 collector area of solar with a total of 33 projects. But these federal programs are no longer in force, which could affect the future of wind and solar energy development in the province. A comprehensive future research is recommended on effectiveness and adequacy of regulatory framework, tax and financial incentive in Alberta as well as on Ontario’s Feed-in-Tariff program and its related regulatory framework for a potential adoption by Alberta and this report can provide a starting point.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.188
Threshold uncertainty score0.942

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.006
Science and technology studies0.0080.002
Scholarly communication0.0060.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.005
GPT teacher head0.169
Teacher spread0.164 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2013
Admission routes1
Has abstractyes

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