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Record W1982888361 · doi:10.2118/2000-097-ea

Improving the Performance of High Temperature Fuel Cells

2000· article· en· W1982888361 on OpenAlexaffabout
Viola Birss

Bibliographic record

VenueCanadian International Petroleum Conference · 2000
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsFuel cellsMaterials scienceComputer scienceAutomotive engineeringEngineeringChemical engineering

Abstract

fetched live from OpenAlex

Abstract There is a rapidly growing interest, both nationally internationally, in the development of fuel cells for a wide range of applications, including as stationary power sources and for use in electrically powered vehicles. This research proposal is directed towards optimizing electrocatalyst performance in solid oxide fuel cells (SOFCs), systems which run at temperatures of ca. 800 °C and involve the electrochemical oxidation of methane and other hydrocarbons at the anode, and the reduction of oxygen from air at the cathode. One of the world leaders in SOFC development, and the only Canadian company in this area, is Global Thermoelectric of Calgary, who are supporting this research work. The key objective of this proposed research project is to establish the structural and compositional characteristics of the SOFC electrodes which are essential to yielding the highest oxygen reduction and hydrocarbon fuel oxidation rates. The explicit long-term goal of our research in this area is the knowledgeable design of better-performing (more catalytic and more stable) low cost electrode materials for the SOFC, so that an environmentally clean, competitive high power and energy density system results. INTRODUCTION TO FUEL CELLS Fuel cells are high efficiency energy sources, which cleanly convert chemical energy into electricity. They were developed originally for use in the US aerospace program, where a high power:weight ratio was required and no toxic gases or effluents would be generated. More recently, with the emphasis on a cleaner environment and reduced emissions, a pronounced resurgence of interest in fuel cells is occurring internationally. There are several types of fuel cells currently under development, categorized partly by the temperature of their operation. In low temperature systems, the proton exchange membrane fuel cell (PEMFC) is the most advanced, operating at ca. 70 °C. Hydrogen gas is oxidized at the anode, producing protons, which cross an electronically insulating, wet, polymeric membrane separator (the PEM), encountering OH- (produced from oxygen reduction at the cathode) and forming water at the cathode, which is siphoned off. In other PEM fuel cells currently under development, methanol is the fuel which is oxidized at the anode, with protons again crossing the membrane and water being formed at the cathode. The PEMFC is the type of fuel cell currently being developed by Ballard Power Systems (BPS) in Vancouver (in partnership with Toyota, Ford, and DaimlerChrysler), currently the world leader in PEMFC development. Other types of fuel cells operate at higher temperatures. Most notably, the solid oxide fuel cell (SOFC), which runs at temperatures typically of 800 °C or more, is based on an anode and cathode separated by a thin, solid layer of yttrium-stabilized zirconia (YSZ). YSZ is an ionically conducting (at high temperatures), but electronically insulating, ceramic material. At the cathode, O2-, generated by the reduction of oxygen, passes through the YSZ solid electrolyte to the anode, where it combines with the oxidized products generated at the anode. Although the SOFC is not as close to commercialization, it can be operated with hydrogen, methane and higher hydrocarbons as the fuel, an extremely important feature in relation to the Alberta economy.

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)0.001
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.003

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 head0.004
GPT teacher head0.163
Teacher spread0.158 · 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
Published2000
Admission routes2
Has abstractyes

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