Real-Time Optimal Dispatch and Economic Viability of Cryogenic Energy Storage Exploiting Arbitrage Opportunities in an Electricity Market
Why this work is in the frame
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Bibliographic record
Abstract
In this paper, the economic viability and profitability of a newly emerging storage technology, i.e., cryogenic energy storage (CES), is investigated. A real-time optimal dispatching algorithm is proposed and developed to optimally dispatch a privately owned CES unit to generate revenue by exploiting arbitrage opportunities in the day-ahead/week-ahead electricity market. Due to its special characteristics, CES can provide significantly more financial and technical benefits in a weekly scheduling compared with common daily scheduling. The electricity price modulation is proposed as a new approach to competitively offer subsidy by the utility regulator to CES owners to fill the gap between current and a stable expected rate of return. Using real-world price data from the Ontario wholesale electricity market, the method is validated. The results reveal significant benefits of weekly usage as compared to daily usage of CES. The efficacy and feasibility of the proposed approach to subsidize CES owners are validated through simulation studies.
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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