Evaluation of an Offshore Wind Farm by Using Data from the Weather Station, Floating LiDAR, Mast, and MERRA
| Autor: | Ta Hui Lin, Chien Cheng Tu, Cheng Dar Yue, Yi Shegn Chiu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Control and Optimization
Meteorology 020209 energy meteorological mast Energy Engineering and Power Technology 02 engineering and technology 010501 environmental sciences 01 natural sciences lcsh:Technology Wind speed Weather station Mast (sailing) 0202 electrical engineering electronic engineering information engineering floating LiDAR MERRA energy production prediction Electrical and Electronic Engineering Engineering (miscellaneous) 0105 earth and related environmental sciences Light detection Renewable Energy Sustainability and the Environment business.industry lcsh:T Fossil fuel Offshore wind power Lidar Environmental science floating lidar business Climate simulation merra Energy (miscellaneous) |
| Zdroj: | Energies, Vol 13, Iss 1, p 185 (2020) Energies; Volume 13; Issue 1; Pages: 185 |
| ISSN: | 1996-1073 |
| Popis: | Offshore wind energy is regarded as a key alternative to fossil fuels in many parts of the world. Its exploitation is based on the sound evaluation of wind resources. This study used data from a meteorological mast, a floating light detection and ranging (LiDAR) device, and the Modern-Era Retrospective Analysis for Research and Applications, a reanalysis data set established by the NASA Center for Climate Simulation, to evaluate wind resources of the Changhua-South Offshore Wind Farm. The average wind speeds evaluated at a height of 105 m in the studied wind farm were 7.97 and 8.02 m/s according to the data obtained from the floating LiDAR device and a mast, respectively. The full-load hours were 3320.5 and 3296.5 h per year when data from the LiDAR device and mast were used, respectively. The estimated annual energy production (AEP) with a probability of 50% (P50) reached 314 GWh/y, whereas the AEPs with a probability of 75% (P75) and with a probability of 90% (P90) were 283 GWh/y and 255 GWh/y, respectively. The estimated AEP of P75 was 90% of the AEP of P50, whereas the estimated AEP of P90 was 81% of the AEP of P50. This difference might need to be considered when assessing the risk of financing a wind project. |
| Databáze: | OpenAIRE |
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