Water-Energy Nexus: Energy Extraction from Water Towards CarbonNeutralityStates
Bibliographic record
Abstract
The challenges of sustainable development include a water supply for healthy people, efficient use of water and energy resources, and protection of the ecosystem and environment.All must be resilient under climate change.The nexus between water and energy is a highly important element.The water sector exerts a heavy energy footprint (4% of global electricity consumption).Therefore, to offset this, there is a strong need to research energy recovery from water.Some methods are heat recovery, production of biogas and energy production from wastewater treatment such as pressure reduced osmosis (PRO) which will be the focus of this presentation.Up to 50% of the energy required for wastewater can be produced by biogas Production of energy and waste management, improvement of the potential for water reuse, protection of the environment, reducing carbon emissions and enabling the improvement of their environmental practices are all objectives.These research orientations will contribute and foster an integrated approach for understanding the water-energy nexus and enabling the design of carbon neutral or negative water treatment facilities.
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 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 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".