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Record W2998650457 · doi:10.1002/er.5087

Performance investigation of a new renewable energy‐based carbon dioxide capturing system with aqueous ammonia

2019· article· en· W2998650457 on OpenAlexaff
Osamah Siddiqui, Haris Ishaq, Ghassan Chehade, İbrahim Dinçer

Bibliographic record

VenueInternational Journal of Energy Research · 2019
Typearticle
Languageen
FieldEngineering
TopicCarbon Dioxide Capture Technologies
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsProcess engineeringCarbon dioxideRenewable energyAmmonia productionEnvironmental scienceAmmoniaHydrogen productionWind powerCo2 removalAqueous solutionHydrogenWaste managementEnvironmental engineeringEngineeringChemistryElectrical engineering

Abstract

fetched live from OpenAlex

In this study, a novel wind energy-based carbon dioxide (CO2) capturing system is developed and investigated for practical applications to reduce environmental emissions. The aqueous ammonia-based capturing technology is utilized. Wind turbines are used to operate the onsite ammonia synthesis as well as hydrogen production. The proton exchange membrane electrolysis system is considered for hydrogen production and the Haber-Bosch ammonia synthesis technique is utilized. The developed system is modeled in Aspen Plus software. The system performance for CO2 capture is studied through economic, energy, and exergy perspectives. The CO2 capture cost is evaluated to be between 0.1 and 0.23 $/kg CO2. Furthermore, the system CO2 capture rate is determined to be 3.5 kg/s. Moreover, for a unit mass of CO2 captured, the energy consumption is found to be 640.1 kg CO2/MWh. Several parametric studies are also conducted to analyze the effects of varying operating conditions on the system performance.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.672
Threshold uncertainty score0.509

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.019
GPT teacher head0.242
Teacher spread0.223 · 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

Citations30
Published2019
Admission routes1
Has abstractyes

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