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Record W4408959409 · doi:10.1016/j.jenvman.2025.124921

An improved sulfur iodine cycle for sour gas purification and hydrogen fuel production for better environment

2025· article· en· W4408959409 on OpenAlexafffund
Muhammad Ishaq, İbrahim Dinçer

Bibliographic record

VenueJournal of Environmental Management · 2025
Typearticle
Languageen
FieldEngineering
TopicChemical Looping and Thermochemical Processes
Canadian institutionsUniversity of Ontario Institute of Technology
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSour gasSulfurWaste managementHydrogen productionEnvironmental scienceIodineFlue-gas desulfurizationChemistryHydrogen sulfideHydrogenNatural gasEngineeringOrganic chemistry

Abstract

fetched live from OpenAlex

The conventional sulfur-iodine (S-I) thermochemical cycle developed for sour gas purification and hydrogen production from H 2 S stoichiometrically produces 2 moles of H 2 . The present work aims to develop an improved sulfur-iodine cycle, here called the five-step sulfur-iodine cycle, that replaces direct sulfur oxidation with a reaction between metallic oxygen carrier (OC) and elemental S to produce hydrogen. This new cycle does not only produce more H 2 , but also produces extra H 2 SO 4 . The process is followed by a hydrolysis reaction to regenerate OC and produce additional hydrogen. Hydrogen sulfide from the flue gas is considered the major feedstock for the developed system. The stoichiometry of the cycle is also studied to ensure that all the reactants follow the cyclic pathways. The cycle is then modeled in the Aspen Plus process simulation software under steady-state conditions, and a comprehensive thermodynamic analysis of the entire system is conducted using energy and exergy methods, evaluating energy and exergy efficiencies, as well as the exergy destruction rates of major components. Furthermore, several parameters are thoroughly examined to better investigate the system peformance. The proposed cycle demonstrates a significant improvement in hydrogen yield, and produces 4 moles of H 2 per mole of H 2 S. This represents a 100 % increase in hydrogen production efficiency compared to the conventional S-I cycle, which either produces 1 mole of H 2 or 2 moles of H 2 per mole of H 2 S. The hydrolysis and Claus reactors exhibit the highest exergy destruction rates accounting for 33.19 % and 16.69 % of the total exergy destruction rates, respectively. The energy and exergy efficiencies of the CBD section are found to be 72.89 % and 48.54 % respectively. The overall energy and exergy efficiencies of the new cycle configuration are found to be 74.72 % and 62.46 % respectively. • An improved sulfur-iodine cycle for H 2 S splitting is developed. • Metallic oxygen carrier utilized to replace direct sulfur oxidation. • Hydrogen production efficiency increased by 100 % compared to the conventional S-I cycle. • Hydrolysis and Claus reactors identified as major contributors to exergy destruction. • Energy and exergy efficiencies of the system are 74.72 % and 62.46 %.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.468

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 head0.004
GPT teacher head0.190
Teacher spread0.186 · 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 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

Citations3
Published2025
Admission routes2
Has abstractyes

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