COST-EFFECTIVENESS ANALYSIS OF ALTERNATIVE WATER HEATER SYSTEMS OPERATING WITH UNRELIABLE WATER SUPPLIES
Bibliographic record
Abstract
This paper reports on a cost-effectiveness analysis of four types of water heating systems operating in a situation where there is an unreliable water supply. These systems are electric water heating, a solar water heating system (SWHS) with electricity back-up, the SWHS with an LPG water heater, and an LPG water heater alone. It is found that in the conditions of North Cyprus, an SWHS with an LPG heater back-up is the most cost-effective, most convenient and most environmentally friendly system. The last two systems all have a cost per m3 of hot water that is approximately 50% of the cost of heating water by electricity. This study finds that in situations where there is a winter or cloudy season, the choice of the source of energy for SWHS׳s back-up during this period is critical for its overall cost-effectiveness. When a pressurized supply of water is available, the cost of heating water is reduced by 20% for the SWHS with LPG back-up and for the heating of water by the LPG heater alone.
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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".