Ecological House with Green Energy
Bibliographic record
Abstract
This paper describes an ecological building with walls made of straw bales that use more than 80% renewable and geothermal energy for building requirements.The first section presents the importance of energy efficiency performance in housing industry. Buildings in general are responsible for about 38 % of total energy consumption. Meanwhile, statistics show that the same buildings are responsible for 30 % of greenhouse gases emissions. Following the energy policy objectives, the focus of this paper will be set on ecological and passive housing made of straw bales that could use more than 80 % green energy. This type of building combines the advantages of low specific energy consumption with the significant reduction in greenhouse gases emissions. The second section presents the potential performance of a heat recovery system of the ground and groundwater. For the building heating is used a air / water heat pump that uses the air geo thermal energy potential with a Canadian well style system that works together with a groundwater potential recovery system. The heat pump is installed in dedicated equipment space and could deliver the liquid heating fluid at 40 to 50 deg C. The building ambient temperature set point being at approximately 20 deg C. The third section shall analyze the direct and diffuse solar radiation potential. This potential is capitalized for building heating through the glass surfaces and for electricity producing using a photovoltaic ’ of grid ” unit. The fourth section shall analyze the specific energy consumption using the building heat balance equation. Of the total annual energy (heating, cooling, lighting, utilities) share electricity from the national grid is 18….20 % heat recovery plant from the ground and ground water heat pump ensure 55...60 % and 20....24 % solar energy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.124 | 0.036 |
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".