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Record W2765604388 · doi:10.1063/1.5006909

Macro-level modeling of solid oxide fuel cells, approaches, and assumptions revisited

2017· article· en· W2765604388 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Renewable and Sustainable Energy · 2017
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSolid oxide fuel cellFuel cellsScalabilityComputer scienceMacroProcess engineeringProcess (computing)Biochemical engineeringEngineeringChemistry

Abstract

fetched live from OpenAlex

Fuel cells are considered as major components of the future energy infrastructure in many applications due to their high efficiency, simplicity of operation, scalability, and low pollution. The inherent complexity of the internal operation of fuel cells and limitations in the experimental studies on fuel cells make the numerical simulation a vital tool for the fuel cell research and development. This field has experienced remarkable advancements in the past three decades. A wide variety of modeling approaches have been introduced in the literature. Many mathematical formulations have been employed for the macro-level modeling of solid oxide fuel cells (SOFCs). In this paper, the common fundamental bases behind different modeling approaches are identified and presented. Similarly, many assumptions have been used to simplify the modeling process. Some of the most common assumptions for modeling SOFCs are identified, and their appropriateness is reevaluated in the light of recent advancements in the experimental and numerical findings. It was found that while 0-D models cannot predict the internal dynamics of SOFCs, they are very useful for applications where the objective is to study the interaction among system components, such as SOFC hybrid plants. While several types of fuel reformers have been proposed, the identification of the most efficient technology at the operating conditions of SOFCs, particularly small-size applications, requires more research. Similarly, more research is needed to determine if the direct electrochemical reaction of carbon monoxide can be ignored in SOFC models. On the other hand, it has been experimentally proven that internal fuel reformers are thermally self-sufficient. While the assumption that the steam reforming reaction reaches chemical equilibrium has been supported by several experimental studies, the similar assumption for the water-gas shift reaction is not proven, rather there are some strong evidences against its validity. It is also proven that the methane reforming reaction reaches equilibrium when all the inlet methane moles are consumed. The presented assumptions, mathematical formulations, model constants, system operating parameters, and model validation can assist researchers in making informed decisions on their choices for future SOFC models. Also, it identifies the areas where more research, particularly experimental research, is needed to verify the validity of the assumptions.

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)0.001
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: Empirical
Teacher disagreement score0.299
Threshold uncertainty score0.681

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.041
GPT teacher head0.272
Teacher spread0.232 · 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