Possibility of Using Solar Energy for the Creation of Carbon Neutral Hotels in Mediterranean Countries
Bibliographic record
Abstract
Mitigation of climate change requires the increased use of renewable energy sources instead of fossil fuels in all sectors. Hotel buildings utilize large amounts of energy consuming mainly electricity while the use of renewable energy sources is rather limited. Solar energy is abundant in the Mediterranean basin and it is currently used for heat and electricity generation in many applications. Various solar energy technologies are mature, reliable and cost-effective. Use of solar thermal energy, and solar photovoltaic energy combined with the use of high efficiency heat pumps, can cover all the energy needs for domestic hot water, space cooling and electricity in summer-operating hotels in the Mediterranean region. A summer-operating hotel located in Crete, Greece with a covered surface of 3000 m2 has a specific annual energy consumption of 150 KWh/m2. The capital cost of the required sustainable energy systems for covering all the annual energy requirements in the hotel including a solar thermal system with flat plate collectors, a solar photovoltaic system with crystalline-Si modulus and high efficiency heat pumps has been estimated at 95.7 €/m2 while the annual CO2 savings due to the use of benign energy systems in the hotel have been calculated at 68 kgCO2/m2. It is concluded that the use of solar energy technologies in summer-operating hotels in the Mediterranean region could cover all their energy requirements, while it is technically feasible, economically profitable and environmentally desirable.
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 | 0.000 | 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".