Analysis of hybrid energy system for supply residential electrical load by HOMER and RETScreen: A case in Rajasthan, India
Bibliographic record
Abstract
This paper presents optimization of hybrid energy system to supply electrical load of a residential house located at Jahazpur, Bhilwara in East-South region of Rajasthan, India. The electrical load of the house is calculated by energy consumption of various electrical appliances used and supplied by hybrid energy system includes Solar Photo Voltaic (PV), Small Wind Turbine (WT), Battery, and Diesel Generator system. The modeling and optimization of hybrid energy system done using HOMER (Hybrid Optimization Model for Electric Renewable) developed by NREL (National Renewable Energy Laboratory). HOMER gives the optimum configuration of hybrid energy system for minimizing the Net Present Cost (NPC) of the system. Optimized system configuration further analysed by using RETScreen software tools developed by ministry of natural resources, Canada. The various analysis done in RETScreen includes Net Present Value (NPV) analysis, payback period analysis, internal rate of return (IRR) analysis, and effect of tax and subsidies.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".