A Metropolitan Wind Resource Assessment for Bangkok, Thailand Part 2: GIS Analysis and Technical Wind Resource Potential
Bibliographic record
Abstract
This paper describes the second part of the work entitled “A Metropolitan Wind Resource Assessment for Bangkok, Thailand.” It estimates the technical potential for electricity generation from wind energy and suggests how it should be utilized, based on wind power density results from the first paper. Here, a number GIS (geographical information system) layers were prepared to exclude areas deemed not suitable for turbine installation, and they were used with the developed wind resource maps to estimate annual energy production (AEP) from winds. It was found that largest contributions to total AEP come from very small turbine installations in low density urban, medium-to-high density urban, and non-urban areas (1,453, 700, and 689 GWh, respectively). Potential turbine capacity factors are most promising for very small turbines installed on tall buildings (an estimated 25-35%). The total AEP given by wind energy over the province was found to be 3,719 GWh, equivalent to up to 10% of total consumption in the province. This amount of energy is considered substantial from an economic viewpoint since Bangkok alone already shares up to approximately a quarter of national electricity consumption.
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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 | 0.001 | 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 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".