Design and Analysis of a Grid-Tied Solar System with Deferrable Air-Conditioning Load for Lahore, Pakistan
Bibliographic record
Abstract
This research investigates the structure and performance testing of a solar power system set up at a house in the Lahore, Pakistan. The system comprises Canadian Solar Max Power CS6U-340M solar panels with a top capacity of 7.50 kW and an average daily output of 28.9 kWh. The study incorporates recent proposed changes by NEPRA, including adjustments to grid rates for fed-back power. The current rate of WAPDA is 8 cents per kWh, whereas the proposed rate considered in this study is 3.9 cents per kWh. These adjustments result in a decrease ROI that can be by adding deferrable loads, such as heat-pump load. The designed system effectively handles an electrical load of 16.00 kWh/day, reaching renewable penetration of 81.9%. The yearly average power output fed back to the grid ranges from 0.40 kW to 1.2 kW, with seasonal variations leading to a production of 0.5 kW to 1.7 kW. The system purchases an average of 1.4 kW from the grid while selling back 2.4–3.4 kW. A comparative analysis between the old and new design reveals the economic implications of the government’s reduction in electricity buyout rates for consumers, emphasizing the system’s cost-effectiveness. The introduction of deferrable heat pump loads shows a positive impact on the overall production and sustainability of the system. These findings confirm that a hybrid solar power system is an economically viable and environmentally friendly choice for residential power generation.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".