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ICONE19-43640 INTERMEDIATE DOUBLE-PIPE HEAT EXCHANGER FOR THERMOCHEMICAL HYDROGEN CO-GENERATION WITH SCW NPP

2011· article· en· W2102842601 on OpenAlexaff
Andrew John Lukomski, Kamiel Gabriel, Igor Pioro, G.F. Naterer

Bibliographic record

VenueThe Proceedings of the International Conference on Nuclear Engineering (ICONE) · 2011
Typearticle
Languageen
FieldEngineering
TopicChemical Looping and Thermochemical Processes
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsCoolantHydrogen productionHydrogenHeat exchangerSupercritical fluidNuclear engineeringRankine cycleMaterials scienceHeat transferSuperheated steamThermodynamicsChemistrySuperheating

Abstract

fetched live from OpenAlex

The SuperCritical Water-cooled nuclear Reactor (SCWR) is one of 6 Generation-IV concepts currently under development worldwide. The SCWR will operate with light-water coolant at pressures of up to 25 MPa with inlet/outlet temperatures of approximately 350℃ and 625℃. At these conditions, SCWRs can be integrated with thermochemical hydrogen-co-generation facilities, primarily based on the Copper-Chlorine (Cu-Cl) cycle. The maximum Cu-Cl cycle temperature requirement of 530°C is bounded by the SCWR's thermal output and could be supplied through an intermediate Heat eXchanger (HX) located downstream of the SCWR outlet. This paper presents thermal analysis of selected scenarios involving double-pipe, counter-flow HXs located at two locations along the primary-coolant loop of a single-reheat-cycle SCW Nuclear Power Plant (NPP). Depending on the HX location, SCW or SuperHeated Steam (SHS) from the reactor would flow through the inner pipe and steam for the hydrogen co-generation would flow through an annulus gap. Thermal energy from the SCWR coolant would be delivered to support the hydrolysis and oxygen-production reactions in the Cu-Cl cycle. The paper presents analysis with a combination of numerical solutions and the log-mean temperature difference method to calculate HX heat-transfer characteristics, and HX physical dimensions. Results are presented in support of a link between these two facilities, i.e., SCWR and hydrogen plant, to support hydrogen production.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

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)0.0080.001

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 head0.050
GPT teacher head0.223
Teacher spread0.173 · 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 designBench or experimental
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

Citations0
Published2011
Admission routes1
Has abstractyes

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