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Record W3009366606 · doi:10.1002/est2.145

Development of a new ammonia‐based energy storage option for grid balancing

2020· article· en· W3009366606 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.

Bibliographic record

VenueEnergy Storage · 2020
Typearticle
Languageen
FieldChemical Engineering
TopicAmmonia Synthesis and Nitrogen Reduction
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsAmmonia productionEnergy storageProcess engineeringAmmoniaExergy efficiencyEnvironmental scienceProton exchange membrane fuel cellElectrolysisEfficient energy useExergyWaste managementNuclear engineeringFuel cellsPower (physics)ChemistryChemical engineeringThermodynamicsEngineeringElectrical engineeringElectrode

Abstract

fetched live from OpenAlex

Abstract In the present study, a new ammonia‐based system is developed and investigated as an energy storage option. In this regard, an environmentally benign cyclic synthesis and usage of ammonia is proposed. The proton exchange membrane‐based electrolysis is used for hydrogen generation with cyclic water usage and production. A direct ammonia fuel cell is employed for power generation. The performance of the developed system is investigated through both energetic and exergetic analyses. In addition, different phases of charging and discharging are considered during the energy storage operation. Furthermore, several parametric investigations are conducted to study the effects of changing operating conditions. The energy efficiency of the charging phase is found to be 41.1% and the exergy efficiency is evaluated to be 43.7%. Moreover, the energetic efficiency of the discharging phase is 78.1% while the exergetic efficiency is 73.4%. The overall efficiency of the system considering both charging and discharging phases is evaluated as 32.1%.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.777
Threshold uncertainty score0.896

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.021
GPT teacher head0.218
Teacher spread0.197 · 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