The Efficiency of Using of Solar Cells on the Multistory Residential Buildings in Jordan (Housing Building as a Case Study)
Bibliographic record
Abstract
Jordan imports 94% of its oil and gas (fossil fuel) to meet its energy needs, making the country vulnerable to fluctuations in fuel prices.Jordan's energy demand is growing by 3% annually mainly because of the growth of the residential sector, the government has set a target of meeting 10% of energy demand from renewable energy sources.We proposed a design solution of four floors of housing consisting 2 flats each, using the facades of a building as a Building Integrated Photovoltaic (BIPV), and evaluate the energy that a Photovoltaic(PV) system could yield by new facades design, we take an example of a real house designed here in Amman, Jordan using Cells as integrated elements on facades and roofs, We will use simulation to determine energy yielded for each intended elevation, by taking the most traditional sample of apartment housing in Jordan, then using Revit Architecture for 3d modeling the two-dimensional design by AutoCAD program, to get plans for the house in one of the 3D modeling programs, in an exact copy of the building with the same spaces, heights, and technical factors.Then assuring the location of newly designed PV Panels by skelion application that approve distances between PV panels on the roof, then using Solar GIS to calculate the radiation for all orientating to facades according to selected location, and lastly using equations to get the results.The results of the simulations indicate that the efficiency of using PV panels in an integrated way is more efficient in winter than in summer, covering the need for an apartment which has an area of 170,175 m 2 as an energy source through solar panels, and part of the roof was also used.The result was that we can generate about 18,648 kWh per year, which is 42% of the total energy, if the integrated PV panels in the railing elements on the south facade are used, and about 9,720 kWh, which is 22% of the total energy, if the integrated PV panels on the west or east facades are used.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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".