Numerical simulation and optimization analysis of thermal balance of heavy oil box-type substation louver arrangement
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Bibliographic record
Abstract
In the field operation of heavy oil box-type substation, the overall arrangement is compact, which leads to the decrease of heat sink capacity and the "heat island effect", which leads to the increase of the temperature of the box-type substation. In this paper, the thermal equilibrium model of the box-type power station was established and the temperature field distribution and air flow of the box-type power station were simulated. The results showed that the parallel vertical layout program is not conducive to the air flow of the box, resulting in rising of the temperature around the plant, especially the box body temperature. According to the heat dissipation theory of blinds, the box-type power station is rearranged. The distribution of temperature field in tank power station with different container inclination under natural ventilation and no-wind condition were researched. The results show that the shutter layout can significantly reduce the temperature between the containers. When the inclination angle is 45 °, the heat balance effect is the best. In order to study the comprehensive effect of spacing and angle on the heat dissipation of the box-type power station, the orthogonal test was used to optimize the distance and angle of the container of the box-type power station. The results show that the heat balance effect is the best when the container spacing is 8m and the inclination angle is 45 °. The calculation results provide a basis for the cooling of the box-type power plant, thereby improving the operation efficiency of the power station and reducing the cost of establishing the station.
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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 | 0.000 | 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 it