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Proposal for a Tidal Barrage Power Plant on the Sandwip Channel

2025· article· W7154724717 on OpenAlexaff
Md Omar Faruqe, Md. Waliullah Sami, M. M. Hasan Mahfuz, Md. Rafiqul Islam

Bibliographic record

Venuenot available
Typearticle
Language
FieldEngineering
TopicFluid dynamics and aerodynamics studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsChannel (broadcasting)Power stationPower (physics)Tidal currentTidal power

Abstract

fetched live from OpenAlex

A greater need for energy is inevitable in a world with a growing population and expanding range of human pursuits. Coal accounts for around 40 % of the energy used in the power generation process. The widespread concern about the effects of climate change is largely attributable to the fact that fuels and hydrocarbons are being used for energy. As a result, there is a growing need for renewable energy options. The potential for harnessing tidal energy to generate large amount of power has been shown by several studies. Sandwip channel is Bangladesh's best bet because of its large sea surface area and high tidal range. This paper thus investigated the possibilities of constructing a tidal barrage system power plant on Sandwip Channel. Accordingly, the goal of this research is to estimate the probable cost for a tidal barrage system, taking into consideration the system's yield and price. The cost of per unit energy from the proposed tidal barrage system is found to be BDT (৳) 5.63 which is lower than the present cost of per unit energy ৳ 7.49, for the existing power plants.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0100.001

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 head0.007
GPT teacher head0.206
Teacher spread0.200 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes1
Has abstractyes

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