Energy saving analysis of residential building envelope based on characteristic parameters
Bibliographic record
Abstract
Building energy conservation is not only the trend of the world, but also the need of the world. With the rapid development of economy and the continuous improvement of people's living standards, comfortable air-conditioned residential buildings have been popularized rapidly, and the energy consumption of air-conditioning has increased significantly. China is a large energy deficient country, the high energy consumption of air conditioning is bound to restrict the economic development and the improvement of people's living standards in this area. How to improve the thermal performance of building envelope to make the building have good indoor thermal comfort, so as to reduce the dependence on artificial cold and heat sources and reduce building energy consumption has become an urgent topic. In this paper, the relationship between the three most important components of building envelope and building air conditioning energy consumption is studied by using dynamic simulation method according to climate characteristic parameters. Based on the comprehensive understanding of relevant materials of building envelope and some experimental research, the thermal performance and structure of building exterior window are analyzed, At the same time, the importance of roof energy saving to improve the temperature environment of the top room is also discussed. Based on the analysis of the energy consumption of building envelope and building air conditioning, the extensive practice of building envelope energy saving technology has been actively carried out, and good results have been achieved.
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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 | 0.000 | 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 | 0.000 | 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 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".