Energy Use in Water Distribution Systems: A Life Cycle Perspective
Bibliographic record
Abstract
Abstract Water distribution systems (WDSs) serve to deliver water from the source to intended consumers or endpoint applications, with the requisite quality and quantity. While these systems are a critically needed aspect of modern civilizations and their infrastructure, they also consume significant amounts of energy during their life cycle. The environmental impacts related to energy use have received global attention in recent times, with increasing concerns about anthropogenic climate change. Efforts are being made at all levels to reduce energy use in order to achieve the climate action targets set at regional, federal, and global levels. Water pumping to end users causes the highest energy use impacts in a WDS. The flow distances, component sizing and facility locations, flow rates, and other parameters need to be carefully managed in designing water distribution networks to minimize energy use and economic impacts. In attempting to develop more energy efficient WDSs, their energy use and impacts need to be contemplated from a holistic life cycle perspective.
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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 | 0.000 |
| 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 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".