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Record W4382682045 · doi:10.18280/mmep.100328

Techno-Economic Analysis and Simulation of a Photovoltaic-Wind Hybrid System for Grid-Independent Applications

2023· article· en· W4382682045 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMathematical Modelling and Engineering Problems · 2023
Typearticle
Languageen
FieldEnergy
TopicHybrid Renewable Energy Systems
Canadian institutionsnot available
Fundersnot available
KeywordsPhotovoltaic systemGridComputer scienceWind powerEnvironmental scienceElectrical engineeringEngineeringGeography

Abstract

fetched live from OpenAlex

The utilization of solar and wind energy as alternatives to fossil fuels is gaining increasing significance in the quest for sustainable energy solutions.Hybrid systems, comprising multiple power generation units driven by diverse energy sources, offer enhanced reliability compared to single-source systems.Among these, photovoltaicwind turbine hybrids have emerged as a promising configuration, capable of meeting extensive and dynamic energy demands.In certain hybrid systems, domestic batteries are employed to counter daily fluctuations, facilitating the conversion and storage of energy for grid-independent applications.The present study conducts a technoeconomic analysis of such a hybrid system, employing HOMER software for power supply simulations.Results indicate that the optimal configuration encompasses 10 kW photovoltaic cells, a 10 kW wind turbine, a 4 kW water electrolysis device, a 10 kW converter, a 1 kW fuel cell, and a 1 kg storage tank.

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)0.000
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: none
Teacher disagreement score0.824
Threshold uncertainty score0.681

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.017
GPT teacher head0.220
Teacher spread0.203 · 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