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Feasibility Study of an Off-Grid Solar PV System for a Residential Application in Model Town, Lahore

2025· article· W4415626472 on OpenAlexaff
Asad Mehmood Hassan, Muhammad Tariq Iqbal

Bibliographic record

VenueEuropean Journal of Energy Research · 2025
Typearticle
Language
FieldEnergy
TopicHybrid Renewable Energy Systems
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPhotovoltaic systemPayback periodGrid-connected photovoltaic power systemRenewable energyRooftop photovoltaic power stationSolar irradianceSolar energyBattery (electricity)Net present value

Abstract

fetched live from OpenAlex

This study presents a feasibility of the off-grid solar photovoltaic system proposed for a residential property in Model Town, Lahore, Pakistan. The system offers a sustainable and reliable energy solution in view of high solar irradiance and frequent grid outages in the region. Using HOMER Pro software, simulation of a hybrid microgrid consisting of a 12.6 kW PV array, 89 kWh of battery storage, and an 11-kW inverter is presented. It meets loads of 25 kWh per day. The system showed favorable economic and technical perspectives, with an IRR of 228%, a payback period of 0.491 years, and a 91% reduction in net present cost compared to second-best diesel generator-based systems. The system is also documented for zero CO2 emissions and almost no energy disruptions, declaring it environment-friendly, as well as being favorable to include in similar regions for residential purposes.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.030
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0300.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.077
GPT teacher head0.369
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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