Optimization of Micro-Gas Turbine Based Hybrid Combined Heat and Power (CHP) Systems for Small Off-Grid Communities
Bibliographic record
Abstract
There exists more than 280 communities in Canada that are not connected to North American electric grid due to geographic limitations. This work studies the efficiency gains from an engineering perspective as well as the potential economic benefits from complementing a Micro Gas Turbine (MGT) based micro grid with Battery Energy Storage System (BESS) to form a hybrid energy system to meet the power need, and potentially the heat need, of these geographically isolated communities. A yearly averaged profile of power demand from a typical Canadian household with 5-min resolution was adopted to represent the end users of the micro grid. The Capstone C30 of a nominal power rating of 30 KWe is the base MGT power unit assumed for this study. Considering only one cold start of the MGT per day, it was found that an operating strategy to start the MGT between 8 and 10 am minimizes the size of the battery system with an imposed restriction of operating the MGT above 90 percent of its base load; the minimum engine load requirement is designed to achieve the best system efficiency. The minimum size of the usable storage capacity of the BESS is estimated for meeting the energy storage needs for the aforementioned operating strategy. Finally, the economy of a MGT-based hybrid system is assessed by estimating the unit energy price.
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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) | 0.001 | 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".