Techno-economic Analysis of 100 kWp Floating Solar Photovoltaic for Renewable Energy Mix in Bali – Indonesia
Bibliographic record
Abstract
Abstract To achieve renewable energy mix target and support the Indonesian Government’s policy on the use of solar power, PT. PLN Indonesia Power Bali has installed Floating Solar Photovoltaic (PV) above the surface of the Muara Nusa Dua reservoir. The 100 kWp Floating Solar PV was showcased at the G20 meeting held in Bali. In this study, a techno-economic analysis was carried out for the 100 kWp Floating Solar PV. The data collected was the real time data from the production of the 100 kWp Floating Solar PV and the costs incurred for the investment. The results of this study showed an average energy yield of 145.93 MWh with expected revenue of Rp 236,406,729.60 annually. Furthermore, the NPV and IRR were calculated and the resulted values were Rp 2,810,168,240.00 and 5.73 %, respectively with payback period approximately of 13 years. This showed that the 100 kWp Floating Solar PV is feasible investment to increase renewable energy mix in Bali – Indonesia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".