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Record W4323768658 · doi:10.2172/1923349

Pilot Testing of a Highly Efficient Pre-combustion Sorbent-based Carbon Capture System

2022· report· en· W4323768658 on OpenAlexaboutno aff
Gökhan Alptekin

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicCarbon Dioxide Capture Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsSorbentIntegrated gasification combined cycleProcess engineeringCombustionPressure swing adsorptionCoal combustion productsCoalEnvironmental scienceWaste managementChemical engineeringSyngasAdsorptionEngineeringChemistry

Abstract

fetched live from OpenAlex

TDA developed and demonstrated a highly efficient pre-combustion carbon capture system (DE-FE-0013105). The overall objective of this work was to develop a new sorbent-based pre-combustion carbon capture technology for Integrated Gasification Combined Cycle (IGCC) power plants. In this project our goal was to demonstrate the techno-economic viability of the new technology by 1) demonstrating it in large-scale slipstream tests, and 2) carrying out a high fidelity engineering and cost analysis. TDA’s process used an advanced physical adsorbent that selectively removes CO2 from coal-derived synthesis gas above the dew point of the gas at temperatures as high as 300°C. The sorbent consisted of a mesoporous carbon whose surface was grafted with functional groups that remove CO2 via a well-known acid-base interaction. Because the sorbent operates above the dew point of the synthesis gas (unlike the SelexolTM process) a higher power cycle efficiency can be achieved. In this project TDA Research, in collaboration with our partners Gas Technology Institute (GTI), Illinois Clean Coal Institute (ICCI), University of California, Irvine (UCI), University of Alberta (UOA), Siemens, NCCC and Sinopec advanced the technical maturity of the technology. We optimized the reactor design using computational fluid dynamics (CFD); using adsorption modeling we improved the pressure swing adsorption (PSA) cycle sequence. We carried out two field test campaigns with a fully-equipped 0.1 MWe prototype unit (for a total of 844 hours) using actual synthesis gas to prove the viability of the new technology. A successful 30 day (707 hrs) evaluation was completed at NCCC under air blown gasification conditions. We demonstrated 97.3% carbon capture at 1,500 SLPM, 93% carbon capture at 1,800 SLPM, and 90% carbon capture at 2,100 SLPM in the NCCC tests. We also demonstrated the system for 137 hours under oxygen blown gasification demonstrating 86% carbon capture at 2,660 SLPM. The results of the techno-economic analysis suggested that TDA’s high temperature PSA-based Warm Gas Clean-up Technology can make a substantial improvement in the IGCC plant thermal performance for achieving near zero CO2 emissions for IGCC power plants when using E-GasTM, GE, Shell and TRIGTM gasifiers. The capital expenses are also estimated to be lower than that of Selexol’s™. The 1st year cost of electricity with the transport, storage and monitoring (TS&M) costs for the CO2 included was $129.2/MWh for the E-Gas gasifier Warm Gas Cleanup Case, $131.9/MWh for the GE gasifier Warm gas Cleanup Case, $146.8/MWh for the Shell Gasifier Warm Gas Cleanup Case, and $129.9/MWh for the TRIGTM gasifier Warm Gas Cleanup Case while that for the Cold Gas Case with E-GasTM gasifier was $146.6/MWh, with GE gasifier was $142.2/MWh, with Shell gasifier was $159.0/MWh, and with TRIGTM gasifier was $144.3/MWh (a decrease of 7 to 12% over the corresponding baseline DOE Cold Gas Cleanup cases).

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.429
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.024
GPT teacher head0.223
Teacher spread0.199 · 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.

Study designSimulation or modeling
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

Citations7
Published2022
Admission routes1
Has abstractyes

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