Assessment of tidal power opportunities in Indonesian waters
Bibliographic record
Abstract
<p>As the world’s largest archipelagic country, Indonesia has enormous tidal resource potential. However, complexities that occur in this area complicate tidal resource assessment. The relative magnitude of different tidal components gives this area a variety of tidal types, from semidiurnal, as commonly found in the UK and Canada, to the diurnal type. There are not only daily and neap-spring cycle variations, but also in areas with significant diurnal components the power and thrust varies on an annual basis that follows the timing of the solstice-equinox cycle. These variations mean that an assessment in this region must be carefully planned in terms of the duration and the simulation start time. An assessment with a limited computational time should avoid the solstices and equinoxes in the simulation period.</p>\n\n<p>The interaction between the diurnal and semidiurnal components also creates an asymmetric tidal flow. As the tidal stream moves bi-directionally, the asymmetry leads to uneven power production for flow in different directions. Therefore, turbine developers should consider this phenomenon in their turbine design, as the turbine might have more thrust in one direction. This asymmetry also tends to create a low Capacity Factor (CF).</p>\n\n<p>Since the tidal stream varies daily, fortnightly and annually, it would not be practicable for a turbine developer to remove the maximum power from the flow. A capping strategy is necessary to address this issue. CF is a metric that is widely used to optimise turbine capacity. However, this thesis argues that CF might not be the only metric for decision making. The fraction of average power removed by the turbine and the thrust before and after the capping strategy is implemented are perhaps more important as decision-making tools in tidal energy exploitation. </p>\n\n<p>The assessment of tidal energy resources in Indonesia shows that this country has a great opportunity for tidal energy exploitation. Five potential sites with different characteristics in terms of socio-economic background and environmental features are selected for assessment: Lombok Strait, Larantuka Strait, Sunda Strait, Lingga Regency and Sula Regency. A total of 5 GW average electricity production from just these five selected locations could be produced.</p>\n\n<p>However, that number is based on analyses using a uniform blockage ratio. In reality, the deployment of turbines is limited by several factors, such as the use of straits for other purposes, the depth of the sites and environmental constraints. A study with more realistic turbines is essential for a proper assessment of tidal energy resources in an area. The assessments in this thesis also consider economic constraints. Based on realistic turbine deployment strategies, tidal energy exploitation in this area is economically viable. Apart from in Lingga Regency, the realistic assessments show that all other locations have a projected levelized cost of energy (LCOE) less than GBP 250/MW. </p>
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".