| dc.contributor | 統計系; 地政系 | - |
| dc.creator (作者) | 鄭宗記; 甯方璽 | - |
| dc.creator (作者) | Cheng, Tsung-Chi;Ning, Fang-Shii;Pien, Kuang-Chang;Liou, Wei-Jie | - |
| dc.date (日期) | 2024-06 | - |
| dc.date.accessioned | 2024-07-17 | - |
| dc.date.available | 2024-07-17 | - |
| dc.date.issued (上傳時間) | 2024-07-17 | - |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/152338 | - |
| dc.description.abstract (摘要) | This research examines the risk of natural disasters for offshore wind turbines together with their potential wind energy capacity to help the site selection of offshore wind power farms. Through evaluations of expert questionnaires, we use the fuzzy analytic hierarchy process to weight how natural disasters damage the sub-assemblies of an offshore wind turbine, then obtain the natural disaster risk assessment model, and finally utilize ArcGIS Pro 3.2 to map the potential wind farm sites for the waters off Taiwan’s west coast. We identify that typhoons are the most threatening type of disaster to generators, rotor blades, and rotor hubs; earthquakes are the most threatening to towers; and lightning is the most threatening to transformers. For the whole wind turbine, wind is ironically the most threatening natural disaster, followed by lightning, sea waves, and then earthquakes. Lastly, we examine the results by overlapping the offshore wind farms developed and planned in Taiwan, which coincide with locations in relatively low risk and high wind speed areas. | - |
| dc.format.extent | 98 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Energies, Vol.17, No.11, 2711 | - |
| dc.subject (關鍵詞) | fuzzy analytic hierarchy process; natural disaster; offshore wind turbine; risk assessment; spatial information | - |
| dc.title (題名) | Site Selection for Offshore Wind Power Farms with Natural Disaster Risk Assessment: A Case Study of the Waters off Taiwan’s West Coast | - |
| dc.type (資料類型) | article | - |
| dc.identifier.doi (DOI) | 10.3390/en17112711 | - |
| dc.doi.uri (DOI) | https://doi.org/10.3390/en17112711 | - |
