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  • 學位論文

以地理資訊系統適宜性分析用於陸上風場選址-以福建省為例

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指導教授 : 張國楨

摘要


隨著中國大陸經濟的快速發展,所帶來的資源及環境壓力已接近承受能力的極限,所以發展新能源代替傳統燃煤發電的壓力迫在眉梢,近來風能資源因乾淨、低碳與安全等特性,成為全球新能源重點開發目標,依據世界風能協會(World Wind Energy Association, WWEA)2019年初公布之數據顯示,中國大陸為全球風力發電累積裝置容量及新增裝置規模排名第一名之國家,其東南沿海地區為海上風能資源最豐富區域,風力資源優越,環境因數限制小,是風能規模開發潛力最高的地區。福建省受到東北季風與臺灣海峽之間的「狹管效應」互相影響,沿海的風能資源相當地充沛,且福建省預劃於2020年達成300萬千瓦全省陸上風電裝機量,本研究為了解福建省具有陸上風能發展潛力並具有建設大型風場基本條件的區域,利用風速、地形、土地利用、人口密度及道路等資料,運用地理資訊系統(GIS),進行陸上風場選址適宜性分析,研究結果將分析未來風場建置潛能區域,並藉已建設之風機驗證選址正確性。

關鍵字

風場 風機 福建省 選址 適宜性分析

並列摘要


With the rapid development of China's economy, the resources and environmental pressures are close to the limit of capacity, so the pressure to develop new energy to replace traditional coal-fired power generation is imminent. Recently, wind energy resources are clean, low-carbon and safe. Such characteristics have become the key development targets for new energy in the world. According to data released by the World Wind Energy Association (WWEA) in early 2019, mainland China ranks first in the global cumulative capacity of wind power generation equipment and new additional equipment. The southeast coastal area of China is also the region with the most abundant offshore wind energy resources, with superior wind resources and limited environmental factors, and is the region with the highest potential for wind energy development. Fujian Province is affected by the monsoon and the “valley effect” of the Taiwan Strait. The coastal is rich in wind energy resources, and Fujian Province plans to reach 3 million kilowatts of onshore wind power installed capacity in 2020. This study is to understand areas that can develop potential and have basic construction conditions for large-scale onshore wind power plantsin Fujian Province. By using wind speed, topography, land use, population density, and roads, use geographic information systems (GIS) to analyze the suitability of onshore wind farm site selection, and the results will be analyze the future potential area of the wind farm, and verify the correctness of the site selection by the built wind turbine.

參考文獻


英文文獻:
Al-Yahyai, S., Charabi, Y., Gastli, A., & Al-Badi, A. J. R. E. (2012). Wind farm land suitability indexing using multi-criteria analysis. 44, 80-87.
Alves-Pereira, M., Branco, N. A. C. J. P. i. B., & Biology, M. (2007). Vibroacoustic disease: biological effects of infrasound and low-frequency noise explained by mechanotransduction cellular signalling. 93(1-3), 256-279.
Association, E. (2009). Wind energy–the facts: a guide to the technology, economics and future of wind power. In: Earthscan.
Ayodele, T., Ogunjuyigbe, A., Odigie, O., & Munda, J. J. A. e. (2018). A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: The case study of Nigeria. 228, 1853-1869.

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