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Record W4402575397 · doi:10.55016/ojs/sppp.v17i1.79089

Exploring a Coal-to-Nuclear Transition: Repurposing of Legacy Coal Assets to Locate Small Modular Reactors in Alberta

2024· article· en· W4402575397 on OpenAlexaboutno aff
Amanda Cha, Rüdiger Tscherning

Bibliographic record

VenueThe School of Public Policy Publications · 2024
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
Fundersnot available
KeywordsRepurposingModular designCoalNuclear engineeringEnvironmental scienceComputer scienceWaste managementEngineeringOperating system

Abstract

fetched live from OpenAlex

Climate change mitigation and the search for alternative energy are spurring a growing interest in repurposing decommissioned coal power plants into sites for small modular nuclear reactors (SMRs) which produce minimal greenhouse gas emissions. With power ranging between 10- to 300-megawatt electric, SMRs take up a fraction of the size and have approximately one-third of the generating capacity of a conventional large-scale nuclear reactor. Saskatchewan plans to locate its first SMR on the site of a combined coal-fired power station near Estevan, and it is inevitable that SMRs will eventually be proposed for Alberta. These small reactors offer greater efficiency, safety and flexibility of deployment compared to large nuclear plants; however, uncertainty surrounds the regulatory framework that must be in place before any proposals are made to site SMRs in Alberta. Both the provincial and federal governments have jurisdiction over coal-to-nuclear transition projects and given the current lack of a nuclear regulatory framework in Alberta, this paper discusses the rules, regulations and procedures that will be required for approvals. Instead of building from scratch, repurposing of decommissioned coal-fired power plants using the existing infrastructure — water storage systems, desalination plants and wastewater treatment systems — and improved technology, offers a way to streamline the approval process. Any SMR proposal would first require an impact assessment which would consider the project’s social, environmental and economic effects as well as waste management, safety and other factors, culminating in the question of whether the project would be in the public interest. Coal plant owners and the owners of extant infrastructure such as transmission lines would need to be consulted, along with Indigenous people and other area residents. Among the regulatory agencies tasked with various stages of the approval process are the Canadian Nuclear Safety Commission and the Impact Assessment Agency of Canada at the federal level and Alberta Environment and Protected Areas and the Alberta Utilities Commission at the provincial level. Given the inevitable complexities inherent in a lengthy approvals process, this paper argues that, despite the fact no coal-to-nuclear transitions are on the Alberta horizon, a regulatory framework for nuclear energy generation must urgently be established in the province. Best practices can be gleaned from the processes Ontario and New Brunswick used to collaborate with the federal government on their proposed nuclear reactor sites and strategies for Alberta can be developed from lessons learned in those provinces. Proceeding with a coal-to-nuclear transition means that harmonizing the key regulatory players and their respective processes — including public participation and determinations as to the public interest — is a priority. Laying the groundwork for nuclear energy generation in Alberta can begin now by preparing a detailed scoping of potential coal-fired power plant sites, including an inventory of the technical infrastructure that can be repurposed for SMRs. Power plant owners and owners of infrastructure such as transmission lines will need to be consulted about siting nuclear power plants on their properties with regard to future environmental and decommissioning liabilities, licence transfers and site closures, because those processes would likely be carried out by a different owner/operator. With potential sites located, a regulatory framework in place and a streamlined approvals process, Alberta would stand ready to benefit from nuclear energy’s ability to mitigate the effects of climate change and provide a stable, affordable supply of energy.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.240
Threshold uncertainty score0.482

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.106
GPT teacher head0.319
Teacher spread0.213 · 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
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

Citations1
Published2024
Admission routes1
Has abstractyes

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