An advanced design to generate power and hydrogen with CO2 capturing and storage for cleaner applications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
• A power generating cycle with CO 2 recirculation is assessed along with natural gas combustion. • Several sensitivity analyses are conducted under different operating scenarios. • The system helps reduce 3998.21 tons/year CO 2 emissions through clean hydrogen and power production. • Both energy and exergy efficiencies of the present system are 71.48% and 60.69%. The present study aims to conduct a thermodynamic analysis of a novel concept that synergistically integrates clean hydrogen and power production with a liquefied natural gas (LNG) regasification system. The designed integrated energy system aims to achieve hydrogen production, power production, LNG regasification, carbon capture, storage, and in situ recirculation. Hydrogen sulfide (H 2 S) from industrial waste streams is used as a major feedstock, and a specific combustion of H 2 S is employed as a hydrogen production method. CO 2 obtained from the combustion process is liquefied and pumped at a high pressure to be recirculated back into the power generation combustion process. The entire plant is simulated in the Aspen Plus simulation environment, and a comprehensive thermodynamic assessment including the energy and exergy analysis is conducted. Additionally, several parametric studies are conducted to identify suitable operating parameters. From the sensitivity analyses, it is found that at 20 % CO 2 recirculation, the hydrogen production rate decreases by 48.27 % when the operating pressure is increased from 0.05 bar to 3 bar. The adiabatic temperature is reduced by 56.86 %, 52.26 %, and 49.45 %, when 50 %, 60 %, and 70 % CO 2 is recirculated in the oxidant stream at an oxygen to natural gas (ONG) ratio of 0.5. The energy and exergy efficiencies of the system are found to be 71.48 % and 60.69 %, respectively. The present system avoids 2571.94 tons/yr of CO 2 emissions for clean hydrogen production and 1426.27 tons/yr of CO 2 for clean power production which would otherwise be emitted from steam methane reforming and coal gasification.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it