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Design and Analysis of a Solar Powered Water Filtration System for a Community in Black Tickle-Domino

2022· article· en· W4283214174 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

Venue2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) · 2022
Typearticle
Languageen
FieldEnergy
TopicSolar-Powered Water Purification Methods
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsDominoFiltration (mathematics)Environmental scienceComputer scienceElectrical engineeringEngineeringMathematicsChemistry

Abstract

fetched live from OpenAlex

The demand for fresh drinking water has increased globally due to technological advancements and an increase in the world’s population. The world is also witnessing climate change due to excessive emissions from conventional power generation procedures. Today’s world necessitates the use of renewable sources for water purification. Using the HOMER Pro software, this study elaborates on a design for a solar-powered drinking water reverse osmosis system for a community in Black Tickle-Domino. This study also uses the HOMER Pro software’s optimization feature to conduct an economic analysis to develop the most cost-effective system design. The Steady-state analysis was conducted in HOMER Pro Software whereas the dynamic modelling and analysis of the proposed design was also validated in MATLAB Simulink. Also a comprehensive instrumentation design with important protection controls schemes is designed to ensure system stability and reliability for operation.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.043
GPT teacher head0.293
Teacher spread0.251 · 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