Long term extrapolation of wind shear using seasonal short-term data
In the transition towards a global energy generation system based on renewable sources, the wind industry has an important role making it possible. One of the key elements in the renewable energy projects is the resource assessment, which estimates how the climate affects the production of an instal...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/334096 |
| Acceso en línea: | https://hdl.handle.net/2117/334096 |
| Access Level: | acceso abierto |
| Palabra clave: | Wind power Forecasting Energia eòlica Previsió Àrees temàtiques de la UPC::Energies |
| Sumario: | In the transition towards a global energy generation system based on renewable sources, the wind industry has an important role making it possible. One of the key elements in the renewable energy projects is the resource assessment, which estimates how the climate affects the production of an installation. Traditionally, met masts have been the most used measurement devices in wind industry, but their installation is becoming more difficult with the increase in heights of wind turbines, since measurements at higher heights are required. In the last decade, a new technology has been growing in the measurement of wind: LIDAR (Light Detection and Ranging). This equipment can measure the wind speed at several heights using lasers. Since a LIDAR is basically a cube of around 1 m3 , its ease of installation has introduced a new approach to wind measurements: while met masts are usually installed for periods of over a year, LIDARs can be moved 3 or 4 times a year to measure different sites. This shortening in the measurement periods introduces a seasonal bias in the values obtained, so this project is going to be focused in correcting this seasonality. The parameter that is going to be calculated is the yearly wind shear, which is the variation of speed at different heights. This constant is key to validate the vertical profile of the wind, which is an important part when simulating the production of a wind farm. In this thesis several correction methods of short-term data will be analysed, and after that some questions will be answered, like which months are better to use to predict the yearly shear or how short can the measurements periods be while giving a good annual average of the shear. |
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