Optimum Sizing of Stand-Alone Hybrid Photovoltaic Systems Equipped with Reverse Osmosis Desalination System for a Rural House in Iran.
Bibliographic record
Abstract
Energy and water crisis affects every aspect of modern human life, and thus, addressing both in one solution is a growing trend. Merging hybrid renewable energy systems (HRES) and water desalination system in one system is a promising solution. In this paper, optimization of stand-alone hybrid photovoltaiv (PV) systems for powering a house equipped with a reverse osmosis (RO) water desalination system in Sinak village, Tehran, Iran, is discussed. RO system configuration, regular house load and RO deferrable load, solar radiation capability and HRES components have been analyzed in the first part of this paper. The second part deals with optimization, cost analysis and sensitivity analysis - using HOMER Pro software - of two HRES scenarios equipped with RO: i) a PV system with battery storage and ii) a PV system with battery storage and a gas generator. Moreover, different dispatch strategies for controlling the investigated systems - namely cycle charging (CC) and load following (LF) - are described. In the last part, a comparison between the two scenarios is performed. The obtained results show that the hybrid PV-battery-RO system is more energy-effective, has less control complexity and has a capability of meeting the load demand with with zero carbon emissions. Results of the conducted economic analysis reveal that the system has a net present cost (NPC) and a cost of electricity (COE) of 10,245 US$ and 0.31 US$/kWh, respectively, while fewer sensitivity variables affect the system’s cost.
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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) | 0.000 | 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 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".