Optimization and Economic Analysis of Green Public Building Envelope Structure in Chongqing
Bibliographic record
Abstract
Public buildings such as colleges and universities in Chengdu can be studied from the aspects of the main factors influencing buildings’ energy consumption. This study analyzed the indoor thermal environment of the buildings and characteristics of their palisade structures, with their thermal performance and energy consumption, as main influencing factors of energy consumption. In the present study, these public buildings have been considered as the research object, their data has been measured through field investigation and theoretical analysis, numerically simulated- based on the actual features- and compared by computer simulation to describe the influence of thermal performance of different envelope structures on energy consumption. Also, the relationship between different thermal performance indexes and energy consumption is established. The advantage of this study is mainly to our green and energy-saving society. “Building a conservation-oriented and environmentally friendly society” is a basic state policy of China. Due to their high energy consumption ratio and greater difficulty in energy conservation, public buildings are the key places in emission reduction. The selection of appropriate green building technology is the key to sustainable development of public buildings.
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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 | 0.002 |
| 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".