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Record W1189381012

Horizontally Oscillating Hydrofoil-River-Turbine with Variable Immersion Depth

2014· article· en· W1189381012 on OpenAlexaboutno aff
David Peter Benjamin Norta, Jürgen Sachau, Hans-Josef Allelein

Bibliographic record

VenueOpen Repository and Bibliography (University of Luxembourg) · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAquatic and Environmental Studies
Canadian institutionsnot available
Fundersnot available
KeywordsImmersion (mathematics)TurbineGeologyVariable (mathematics)Marine engineeringGeodesyEnvironmental scienceMathematicsEngineeringGeometryAerospace engineeringMathematical analysis
DOInot available

Abstract

fetched live from OpenAlex

Motivated by the unused hydrokinetic potential of smaller European rivers and creeks we develop a horizontally oscillating hydrofoil turbine to exploit those resources. Based on the work of T. Kinsey and Prof. G. Dumas of the Laval University, Canada, on vertically oscillating hydrofoils we adapt and improve the technology to the resources especially given in the country of Luxembourg in inner Europe. Currently, the energy of rivers is mainly harnessed and transformed in electricity by the well-known barrage type of hydropower plants. This type of hydropower plant becomes harder to implement, since the protection of the natural river flow and the protection of fishes and other animals becomes more important in Europe (see also Recovery of the European Eel Stock). The passage through an ordinary barrage turbine can lead to “very high mortality, notably on migrating silver eels”. Therefore other technologies have to be used to harness the still available rivers energy, namely hydrokinetic turbines. The field of hydrokinetic river turbines is in the beginning to evolve and first projects were implemented in the United States and Europe, harnessing large rivers and tidal currents. But there are fewer approaches available for smaller rivers with varying flow conditions, since the current propeller based concepts need a certain river depths and speed to generate electricity. Furthermore, it could be useful to implement controllable turbines, so that they serve the consumers need but do not lead to peaks in an energy systems balance, which have to be damped with other technologies, for example storages or throttle processes in thermal power plants. The hydrokinetic turbine, presented in this paper is fully controllable; its angle of incidence and its oscillation frequency can be controlled. The advantage of the full control of the motion of the moving hydrofoil is an improved efficiency of the power extraction from the seasonal but also daily varying flow conditions of smaller creeks. Furthermore we can answer with a varying power output to the altering consumers need. We can generate the power needed, once the dependence between oscillation frequencies, variation of the angle of incidence and the power output is derived. Operating the system, fixed to a raft, hold at a position floating on a river, we can also answer to the varying depth of the hydro resource. A simple mechanism can vary the immersion depth of the hydrofoil and adapt the harnessed flow cross-section to the current river conditions. This mechanism enables the new turbine concept to harness currently not useable hydro resources, which were limited by their minimum water depth. Furthermore the system can be protected from dangerous flood conditions with this lifting and lowering mechanism. We expect that we can contribute with this horizontally oscillating hydrofoil-river turbine to a higher share of hydropower generation in the field of micro generation. We are aiming on a concept which is modular (consisting of low kW range single modules) and can be adapted to the rivers size and the consumers’ needs. We will present the specifications of our idea which is currently on the way to be setup in our lab, to prove the controllability and want to present the physical restrictions and potentials for several flow conditions.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.012

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.008
GPT teacher head0.164
Teacher spread0.157 · 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 designBench or experimental
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
Published2014
Admission routes1
Has abstractyes

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