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Title: | 離岸風電場選址關鍵因素研究 Key Factors of Offshore Wind Farm Site Selection |
Authors: | 李玟倩 Lee, Wen-Chien |
Contributors: | 孫振義 簡連貴 Sun, Chen-Yi Chien, Lien-Kwei 李玟倩 Lee, Wen-Chien |
Keywords: | 離岸風力發電 選址 關鍵因素 模糊德爾非法 層級分析法 Offshore wind farm Site selection Key factors Fuzzy Delphi Method Analytical Hierarchy Process |
Date: | 2023 |
Issue Date: | 2023-09-01 15:15:17 (UTC+8) |
Abstract: | 近年來,伴隨著極端氣候事件發生的可能性和嚴重程度增加,以及暴露在極端化石燃料波動下的危險性日益增長,能源轉型勢在必行。在所有可再生能源中,風能是實現能源轉型的主角,安全且具有韌性。本研究發現,文獻回顧中大多數國家已指定不允許風電場開發的排除區域。臺灣有類似的作法,可見於「離岸風力發電規劃場址申請作業要點」和「離岸風力發電區塊開發場址規劃申請作業要點」。 然而,關鍵因素的擬定在於幫助識別通過排除區域的最佳開發地點。離岸風電場選址的關鍵因素至關重要,其訂定將得以最小化環境和海洋生態影響,並最大化開發潛力。 本研究旨在建立離岸風電場選址關鍵因素的整體結構,以協助臺灣在公正轉型下實現台灣在能源部門之淨零排放目。爰此,本研回顧世界各國的文獻及研究,得到了68個選址子因素。在與三位專家諮詢後,這些子因素被整合為44個,並作為模糊德爾菲問卷的基礎。其次,刪除五個未達到專家共識閾值的子因素,將其餘39個合併為35個,分屬於九個主因素和四大類別,並以此為AHP問卷的基礎。本研究進而分析了AHP問卷的數據,以建立離岸風電場選址關鍵因素的整體結構。 Due to the increase in the likelihood and severity of an extreme weather event and the increasing exposure to extreme fossil fuel volatility, it is necessary to carry out an energy transition. Among all renewable energy, wind energy is the protagonist of the secure and resilient energy transition. This research found that most countries reviewed have designated exclusion areas not allowed for wind farm development. Similar documents in Taiwan can be found at “Guidelines for Offshore Wind Power Generation Site Planning and Application Process” and “Guidelines for Offshore Wind Power Generation Zonal Development Site Planning and Application Process”. However, the key factors are to help identify optimal development sites that pass the exclusion areas. It is crucial to identify the key factors involved in offshore wind farm siting to minimize environmental and marine ecological impacts and maximize development potential. This research aims to establish the overall structure of these key factors to assist in achieving Taiwan’s Net-Zero Emissions goals through Just Transition in the energy sector. Therefore, this research conducted a comprehensive review of previous research and literature from around the world, resulting in 68 siting sub-factors. After consulting with three experts, the sub-factors were consolidated into 44 and used as the foundation of the FDM questionnaire. Five sub-factors that did not meet the expert consensus value threshold were then removed, and the remaining 39 sub-factors were merged into 35 sub-factors that fell under nine main factors and four categories, forming the basis of the AHP questionnaire. The study analyzed the data from the AHP questionnaires to establish the overall structure of the key factors of offshore wind farm site selection. |
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Description: | 碩士 國立政治大學 地政學系 110257012 |
Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0110257012 |
Data Type: | thesis |
Appears in Collections: | [地政學系] 學位論文
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