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Record W4417485854 · doi:10.1016/j.esr.2025.102006

Renewable energy impacts on Canada's remote areas: A review study

2025· article· en· W4417485854 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnergy Strategy Reviews · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Acceptance of Renewable Energy
Canadian institutionsBalsillie School of International AffairsUniversity of Waterloo
Fundersnot available
KeywordsRenewable energyEnergy (signal processing)Renewable resourceEnergy development

Abstract

fetched live from OpenAlex

Canadian remote communities predominantly rely on diesel for electricity generation, resulting in high energy costs, environmental damage, unreliable services, and limitations on community development. To promote the widespread adoption of renewable energy (RE) in remote regions, a comprehensive assessment of their impacts on communities, constraints, and strategies for addressing obstacles is needed. This study reviews RE applications, including geothermal, wind, solar, biomass, and kinetic hydropower, in remote areas of Canada, highlighting resource potential, study methodologies, and associated environmental, economic, social, and policy dimensions. From 120 reviewed publications, hybrid/integrated systems have received the most attention (31 %). Simulation and optimization are the dominant methods (48 % and 45 %, respectively); TRNSYS is the most common simulation tool, while Homer and RETScreen are frequently applied in optimization studies. Adopting RE in remote communities benefits the environment by reducing GHG emissions, local pollutants, and noise, and may contribute to permafrost stability, though risks such as wildlife disturbance and visual impacts require careful siting and design. Economically, high upfront capital costs remain the main barrier, although long-term fuel savings can offset investments, and government incentives and financial support could help overcome this challenge. Socially, RE adoption enhances energy security, improves health and welfare, and creates jobs, but may also displace diesel-related employment, highlighting the importance of local ownership, respect for community values, and youth education in achieving community acceptance. On the policy side, despite growing federal funding, restrictive regulations, low power purchase rates, and policy instability hinder community participation, underscoring the need for supportive and inclusive frameworks.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.540
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.029
GPT teacher head0.327
Teacher spread0.299 · 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