Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Prediction of wind velocity fluctuations from upstream data
Abstract A wind velocity prediction scheme which utilizes data from an upwind anemometer to predict the occurence of significant lulls in the wind at a downwind test site has been developed. A computer system developed for the purpose of monitoring and predicting wind conditions calculates the time for lulls in the wind to travel from the upwind prediction anemometer to the test site. The prediction scheme utilizes Taylor's hypothesis with a modification to account for the fact that, in a shear flow, significant gusts and lulls are not transported at a rate which corresponds to the measured mean velocity. Two prediction algorithms are presented. The first algorithm provides the highest probability of successful predictions while the second provides larger prediction lead times. Data from field tests have indicated that significant gusts and lulls can persist for several hundred meters and that prediction times in excess of 1–2 min can be achieved under certain atmospheric conditions.
Prediction of wind velocity fluctuations from upstream data
Abstract A wind velocity prediction scheme which utilizes data from an upwind anemometer to predict the occurence of significant lulls in the wind at a downwind test site has been developed. A computer system developed for the purpose of monitoring and predicting wind conditions calculates the time for lulls in the wind to travel from the upwind prediction anemometer to the test site. The prediction scheme utilizes Taylor's hypothesis with a modification to account for the fact that, in a shear flow, significant gusts and lulls are not transported at a rate which corresponds to the measured mean velocity. Two prediction algorithms are presented. The first algorithm provides the highest probability of successful predictions while the second provides larger prediction lead times. Data from field tests have indicated that significant gusts and lulls can persist for several hundred meters and that prediction times in excess of 1–2 min can be achieved under certain atmospheric conditions.
Prediction of wind velocity fluctuations from upstream data
Reinhold, Timothy A. (Autor:in) / Halcrow, David J. (Autor:in)
26.05.1986
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
| HENRY – Bundesanstalt für Wasserbau (BAW) | 2022
Velocity Distribution Upstream of Circular and Square Intakes
| Springer Verlag | 2024
| Springer Verlag | 1988