A Sustainable Green Ammonia Synthesis by Renewable Route: A Condensed Research with Design Aspects
Bibliographic record
Abstract
The study aims to develop a process design and integration of a tri-generation system for simultaneous production of electricity using renewable resources, hydrogen (H2) and green ammonia (NH3).Ammonia being a vital raw material, is gaining recognition as a sustainable fuel, particularly for heavy transport and as a significant hydrogen energy carrier.The proposed integrated plant contains an alkaline water electrolysis system for hydrogen production, which is then consumed in the Haber-Bosch process for ammonia synthesis.The electricity required for electrolysis process is generated through renewable resources, specifically wind and solar energy.The energy is stored in form of molten salt through thermal energy storage technology.The process design includes detailed material and energy balances for water electrolysis and ammonia production units.Results obtained by rigorous design of equipment such a hydrogen and oxygen separators, heat exchanger, electrolyzer for hydrogen production and ammonia synthesis reactor highlight optimized operational and design parameters.The economic feasibility assessment of the process was made through cost estimation of key components, such as separators, heat exchanger, electrolyzer, compressor and tubular reactor.The findings obtained by this study highlight the potential of this tri-generation system in providing the sustainable solution for energy and climate change crisis, specifically in countries like Pakistan where renewable energy resources are present in abundance.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".