The reduction of greenhouse gas emissions using various thermal systems in a landfill site
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
In this paper, the Greenhouse Gas (GHG) emissions from an uncontrolled landfill site filled with Municipal Solid Waste (MSW) are compared with those from controlled sites in which collected Landfill Gases (LFG) are utilised by various technologies. These technologies include flaring, conventional electricity generation technologies such as Internal Combustion Engine (ICE) and Gas Turbine (GT) and an emerging technology, Solid Oxide Fuel Cell (SOFC). The results show that SOFC is the best option for reducing the GHG emissions among the studied technologies. In the case when SOFC is used, GHG emissions from the controlled site are reduced by 63% compared to the uncontrolled site. This case has a specific lifetime GHG emission of 2.38 tonnes CO2 .eq/MWh when only electricity is produced and 1.12 tonnes CO2.eq/MWh for a cogeneration application.
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.
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