Case Study of Viability of Bioenergy Production from Landfill Gas (LFG)
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
<p>The landfill gas (LFG) produced from the existing landfill site in Heraklion city, Crete island, Greece, is not currently exploited to its full potential. It could however be exploited for power generation and/or combined heat and power (CHP) production in near future by fully unlocking its energy production potential of the gas generated from the landfill site. This gas (LFG) could feed a 1.6 MW<sub>el</sub> power plant corresponding to the 0.42% of the annually consumed electricity in Crete. The LFG utilization for power generation and CHP production has been studied, and the economics of three energy production scenarios have been calculated. An initial capital investment of 2.4 to 3.2 M €, with payback times (PBT) of approximately 3.5 to 6 years and Net Present Values (NPV) ranging between 2 to 6 M € have been calculated. These values prove the profitability of the attempt of bioenergy production from the biogas produced from the existing landfill site in Heraklion city, Crete. Based on the current economic situation of the country, any similar initiative could positively contribute to strengthening the economy of local community and as a result the country, offering several other socioeconomic benefits like e.g. waste minimization, creation of new job positions etc. by increasing, at the same time, the Renewable Energy Sources (RES) share in energy production sector etc. Apart from the favorable economics of the proposed waste to energy production scheme, all the additional environmental and social benefits make the attempt of a near future exploitation of the landfill gas produced in Heraklion, an attractive short term alternative for waste to bio-energy production.</p>
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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