Overview of Energy Savings and Efficiency Strategies at the University of Jordan Hospital
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
The main objective of this study is to conduct an Energy Auditing of The University of Jordan Hospital. This hospital is quite known, as one of Jordan’s leading hospitals in human resources and equipment; however, the energy consumption of the hospital over the past few years has proven to be highly expensive. This makes the saving on costs of energy consumption a high priority that cannot be ignored. Energy audit covers the three main sections of the hospital: the Emergency Building, the Clinics Building and the Main Hospital Building. The consumption of energy, which costs the hospital a total of 2,778,426 JD/yr., can be categorized into three main parts, the lighting system, the diesel fuel consumption, and the consumption of water. After analyzing the energy invoices, and visiting the site for inspection, a list of recommended solutions that are applicable to cut down the total energy bill were derived. The implementation of renewable energy was suggested and studied of which a solar water heating system was proposed. A study on photovoltaic cells technology was performed for a sample of guest's rooms, the number of panels needed was found. After that, a feasibility study was conducted. The initial costs, annual savings and payback periods of the suggested system were estimated by the current market prices. It is found that the energy auditing and the solutions would be very beneficial as it will save a total annual value of 346,853 JDs (12.5% of the current energy bill).
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