Design and Analysis of an On-Grid Solar System House in Lahore, Pakistan
Bibliographic record
Abstract
This paper investigates the economic and environmental benefits of installing a photovoltaic (PV) system in DHA Lahore using two distinct modeling tools: the System Advisor Model (SAM) and HOMER Pro. The study provides a comprehensive financial analysis by comparing the performance metrics of the PV system under both models. SAM analysis reveals a levelized cost of energy of 6.22 c/kWh nominal and 2.95 c/kWh real, with significant annual electricity bill savings of $1269 and a payback period of 2.7 years. Conversely, HOMER Pro highlights a high internal rate of return of 32.5% and a discounted payback period of 3.07 years, with a net present cost of $71,782.26, indicating considerable cost savings over the system’s lifetime. Although HOMER’s levelized cost of energy is reported at $0.125 per kWh, it reflects the system’s overall cost-effectiveness when combined with reduced operating expenditures. Both models underscore the PV system’s capacity to offer rapid financial returns, significant long-term savings, and substantial reductions in electricity costs. The study confirms that investing in solar technology in DHA Lahore is economically advantageous and environmentally beneficial, providing a sustainable solution for energy needs.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".