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Record W7117584470 · doi:10.1016/j.asej.2025.103946

Economic feasibility of solar and wind energy harvesting in Karbala, Iraq

2025· article· en· W7117584470 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAin Shams Engineering Journal · 2025
Typearticle
Languageen
FieldEnergy
TopicHybrid Renewable Energy Systems
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPayback periodPhotovoltaic systemInternal rate of returnRenewable energyNet present valueWind powerTariffElectricityInvestment (military)Capital cost

Abstract

fetched live from OpenAlex

This study discusses the economic feasibility of investment in renewable energy comparing wind turbines (WT) and photovoltaic (PV) technology. Nine scenarios were compared according to economic indices namely Net Present Value (NPV), Payback Period (PBP), and Internal Rate of Return (IRR) using parameters like power efficiency, capital cost, and electricity tariff. By incorporating a 20 kW battery storage system to support night-time demand, and considering current market rates for investment, operation, and maintenance alongside local and international electricity tariffs, the study concludes that at an international electricity price of $0.10/kWh, wind turbine (WT) systems achieve an NPV of $43,674—approximately 1.5 times higher than that of photovoltaic (PV) systems ($28,764.5). In addition, the IRR for WT and PV were found to be 15.2 % and 16.7 %, respectively, suggesting that both technologies can be financially viable given favourable tariffs. The need for tariff reform, cost reduction, and efficiency enhancement to release renewable energy investment in Iraq is emphasized by these findings.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.214
Threshold uncertainty score0.849

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.219
Teacher spread0.210 · 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