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Record W3121228847 · doi:10.13140/rg.2.2.29365.40160

Spatial analysis of hydrogen production from renewable energy sources for injection in natural gas grid. Canada case study

2020· article· en· W3121228847 on OpenAlexaboutno aff
Alberto Giammarini

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIntegrated Energy Systems Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsRenewable energyNatural gasEnvironmental scienceGeographic information systemPower to gasProduction (economics)GridHydrogen productionSpatial analysisWind powerEnvironmental engineeringComputer scienceHydrogenRemote sensingGeographyElectrolysisEngineeringWaste managementElectrical engineeringChemistry

Abstract

fetched live from OpenAlex

The purpose of the study is to localize sites for the production of hydrogen from renewable energy sources (RES) and its injection in the natural gas transport network. The study is performed with Geographic Information System (GIS) based analysis. The first step is the analysis of GIS data on RES potential power production in Canada, in particular for wind and solar PV. The results are extracted and the power potential obtained is transformed in potential production of hydrogen with electrolysis. The results are disposed on the map and spatial criteria are used to identify the production hubs. In particular the main criteria are the production potential and the distance of the sites from the natural gas network. Different analysis are performed by changing the quantity of hydrogen to produce to satisfy different levels of injection in the natural gas grid. The GIS software used in the analysis is ArcGis, in the ArcMap 10.6 version.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.463

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.183
Teacher spread0.176 · 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 designSimulation or modeling
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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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