Editorial: Co-operative progress in distributed wind and hydrokinetic energy systems
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».