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Record W4391058271 · doi:10.2172/2279036

Engineering Study of Svante’s Solid Sorbent Post-Combustion CO<sub>2</sub> Capture Technology at a Linde Steam Methane Reforming H<sub>2</sub> Plant

2023· report· en· W4391058271 on OpenAlexaff
Minish Shah, Jason Haley, Nazmul Hassan, Thomas McNamara, Alexander Laugwitz, Lidia Ganzer, A. J. Stevens, Anil Kumar, David McNally, Russ McLandsborough

Bibliographic record

Venuenot available
Typereport
Languageen
FieldChemical Engineering
TopicCatalysts for Methane Reforming
Canadian institutionsBurnaby Hospital
FundersNational Energy Technology LaboratoryU.S. Department of Energy
KeywordsSorbentMethaneSteam reformingCombustionWaste managementNatural gasChemical engineeringEnvironmental scienceProcess engineeringChemistryNuclear engineeringMaterials scienceEngineeringHydrogen productionHydrogenOrganic chemistry

Abstract

fetched live from OpenAlex

An initial engineering design study was performed for an advanced post combustion CO<sub>2</sub> capture (PCC) technology to be installed at a commercial-scale steam methane reforming (SMR) hydrogen plant located in the US Gulf Coast. The PCC process integrated the VeloxoTherm™ structured adsorbent technology from Svante for the CO<sub>2</sub> separation and CO<sub>2</sub> compression and purification and balance of plant systems provided by Linde. This pre-FEED equivalent study included following: (1) design basis, (2) basic engineering, including development of process flow diagrams and heat & material balances, (3) inside the battery limit (ISBL) equipment and systems specification, (4) balance of plant outside the battery limit (OSBL) equipment and systems specifications, (5) technology maturation plan, (6) hazard identification (HAZID) review, (7) environmental, health and safety (EH&S) assessment and environmental permitting analysis, (8) constructability review, (9) ISBL and OSBL EPC cost estimation, and (10) commercial-scale techno-economic analysis including capital expenditures (CAPEX) and operating expenditures (OPEX) and CO<sub>2</sub> capture cost estimates.

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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
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 score0.020
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0070.002
Bibliometrics0.0060.004
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0030.003
Research integrity0.0060.006
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 head0.023
GPT teacher head0.276
Teacher spread0.253 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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