Editorial: Co-operative progress in distributed wind and hydrokinetic energy systems
Bibliographic record
Abstract
The first paper in this topic, "Calculation of the velocities induced by the trailing vorticity in the rotor plane of a horizontal-axis turbine or propeller" by Wood concerns the effect of having a finite number of blades on a turbine or propeller. The fundamental techniques for doing this were developed by Kawada (1936) for aircraft propellers and further critical work was done in the context of ship propellers by Wrench (1957). Wind turbines researchers, on the other hand, have continued to rely on Prandtl's "tip loss factor" which is simple but limited to the ideal case of straight, radial blades with no loading at the tip. The challenge is to develop techniques for induced velocity calculation that handle more complex cases including blade sweep (curvature in the plane of rotation), coning (curvature out of the plane of rotation), ducted rotors, and unequal blade loads, that are not accurately represented by Prandtl's ingenuous method. These complex cases arise in both wind and water machines.As mentioned above, all technologies under consideration rely on airfoil and hydrofoil sections for the blades. Thus, any effort to improve foil performance is likely to be of general benefit. The second paper by Zheng "Aerodynamic Performance and Wake Development of NACA 0018 Airfoil with Serrated Gurney Flaps" uses sophisticated computational fluid dynamics to investigate the effects of a serrated "Gurney flap" on airfoil performance. This flap is a small vertical extension of the foil from the bottom of the trailing edge, which is easily added to a complex blade shape, unlike many proposed modifications to foil geometries. Zheng found significant improvements in the lift:drag ratio which is a common measure of foil efficiency.Liu's paper "Wind power short-term prediction based on digital twin technology" addresses the important issue of resource prediction for energy extraction. Both the wind and water environments are turbulent and the flow direction can change. A range of modern methodologies has been developed for resource prediction and assessment as a way of dealing with the intermittency. Liu's contribution is to use the recent idea of a "digital twin" to improve a neural network prediction of future wind speeds. Nealy all large wind turbines have a horizontal-axis, but many vertical-axis turbines have been proposed for smaller-scale application for wind and water flows. The paper by Alqahtani "Optimization of VAWT Installation with Spatial and Temporal Complexities Considerations" examines the wind resource available around highways for small vertical-axis wind turbines (VAWTs). Better understanding of the resource should lead to improved machine design for energy efficiency.The last paper is by Wood and Golmirzaee "On the outer boundary conditions for the fluid dynamics simulation of vertical-axis turbines". The numerical modelling of verticalaxis wind and hydroturbines often use boundary conditions that effectively constrain the flow in the direction normal to the freestream, leading to an over-estimation of power output, especially if the turbines are close together. Improved boundary conditions were suggested and a simple, approximate correction proposed. It has long been argued that placing wind and hydrokinetic turbines in close proximity will increase the power output but this claim needs to be carefully assessed with reference to the boundary conditions.Where would increased co-operation lead? In practical terms, the development of hydrokinetic turbines could benefit from the lessons learned in designing, building, and testing small wind turbines for "distributed" wind energy, see for example the description of the research program (NREL, 2025). Will we see floating offshore wind turbines each combined with a hydrokinetic turbine? Increased research co-operation could lead to improved low-Reynolds number foils for wind and marine applications, improved sustainability of blade manufacture, more effective control systems for rapidly varying wind and water speeds, and many others.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".