Considering Thermodynamic Characteristics of a CAES Facility in Self-Scheduling in Energy and Reserve Markets
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Bibliographic record
Abstract
The efficiency of a compressed air energy storage (CAES) facility deviates significantly from its nominal value depending on its thermodynamics and operational conditions. Thus, the thermodynamic characteristics of the facility should be incorporated in its scheduling to model the variation in efficiency. This paper proposes a self-scheduling approach for a CAES facility that participates in energy, spinning, and non-spinning reserves markets. Considering the thermodynamic characteristics of the facility, the limitations imposed on the facility are modeled when devising operations schedules. Thus, the model leads to a more realistic view of the revenues. Numerical simulations are provided using the historical hourly energy and reserve prices of the ERCOT electricity market for years 2011 to 2015. The results are compared with those of derived from by using the conventional model with constant efficiency parameters.
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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