Publications-Theses
Article View/Open
Publication Export
-
Google ScholarTM
NCCU Library
Citation Infomation
Related Publications in TAIR
題名 離岸風電場選址關鍵因素研究
Key Factors of Offshore Wind Farm Site Selection作者 李玟倩
Lee, Wen-Chien貢獻者 孫振義<br>簡連貴
Sun, Chen-Yi<br>Chien, Lien-Kwei
李玟倩
Lee, Wen-Chien關鍵詞 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日期 2023 上傳時間 1-Sep-2023 15:15:17 (UTC+8) 摘要 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.參考文獻 1 BooksLiang, S.W and Wu, P.L. (2016). Research Methods. New Taipei: Gao-lih.Zhang, S.X. (2012). Fuzzy Multi-Criteria Decision Making for Evaluation Method. Taipei:Wunan.2 Journal ArticlesAmerican Clean Power. (2022). Wind Power Facts. Washington, DC: Author.Amponsah, N. Y., Troldborg, M., Kington, B., Aalders, I., & Hough, R. L. (2014). Greenhousegas emissions from renewable energy sources: A review of lifecycle considerations.Renewable and Sustainable Energy Reviews, 39, 461-475.Bennett, N. J., Blythe, J., White, C. S., & Campero, C. (2021). Blue growth and blue justice:Ten risks and solutions for the ocean economy. Marine Policy, 125, 104387.Bonou, A., Laurent, A., & Olsen, S. I. (2016). Life cycle assessment of onshore and offshorewind energy-from theory to application. Applied Energy, 180, 327-337.Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative researchjournal, 9(2):27-40.Bureau of Energy. (2020). Energy Transition White Paper (Approved Version). Taipei: Ministryof Economic Affairs.Caceoğlu, E., Yildiz, H. K., Oğuz, E., Huvaj, N., & Guerrero, J. M. (2022). Offshore windpower plant site selection using Analytical Hierarchy Process for Northwest Turkey.Ocean Engineering, 252, 111178.Deveci, M., Cali, U., Kucuksari, S., & Erdogan, N. (2020). Interval type-2 fuzzy sets basedmulti-criteria decision-making model for offshore wind farm development in Ireland.Energy, 198, 117317.Deveci M., Özcan E., & John R. (2020). Offshore Wind Farms: A Fuzzy Approach to SiteSelection in a Black Sea Region. 2020 IEEE Texas Power and Energy Conference (TPEC),1-6. doi: 10.1109/TPEC48276.2020.9042530.Deveci, M., Pamucar, D., Cali, U., Kantar, E., Kölle, K., & Tande, J. O. (2022). Hybrid q-RungOrthopair Fuzzy Sets Based CoCoSo Model for Floating Offshore Wind Farm SiteSelection in Norway. CSEE Journal of Power and Energy Systems, 8(5), 1261-1280.Díaz, H., Fonseca, R. B., & Soares, C.G. (2019). Site selection process for floating offshorewind farms in Madeira Islands. Advances in Renewable Energies Offshore, 729-737.Díaz, H., & Soares, C. G. (2020). An integrated GIS approach for site selection of floatingoffshore wind farms in the Atlantic continental European coastline. Renewable andSustainable Energy Reviews, 134, 110328.Diógenes, J. R. F., Rodrigues, J. C., Diógenes, M. C. F., & Claro, J. (2020). Overcomingbarriers to onshore wind farm implementation in Brazil. Energy Policy, 138, 111165.Elia, A., Taylor, M., Gallachóir, B. Ó., & Rogan, F. (2020). Wind turbine cost reduction: Adetailed bottom-up analysis of innovation drivers. Energy Policy, 147, 111912.Ember. (2022). Global Electricity Mid-Year Insights 2022. Malgorzata Wiatros-Motyka.Emeksiz, C., & Demirci, B. (2019). The determination of offshore wind energy potential ofTurkey by using novelty hybrid site selection method. Sustainable Energy Technologiesand Assessments, 36, 100562.Energy Sector Management Assistance Program. (2019). Going Global: Expanding OffshoreWind to Emerging Markets. World Bank: Washington, DC.Fetanat, A., & Khorasaninejad, E. (2015). A novel hybrid MCDM approach for offshore windfarm site selection: A case study of Iran. Ocean & Coastal Management, 109, 17-28.Frick, W. F., Baerwald, E. F., Pollock, J. F., Barclay, R. M., Szymanski, J. A., Weller, T. J.,Russell A.L., Loeb S.C., Medellin R.A. & McGuire, L. P. (2017). Fatalities at windturbines may threaten population viability of a migratory bat. Biological Conservation,209, 172-177.Gerbens-Leenes, W., Hoekstra, A. Y., & van der Meer, T. H. (2008). The water footprint ofbioenergy and other primary energy carriers. (Value of water research report series 29;No. 29). Delft: Unesco-IHE Institute for Water Education.Gil-García, I. C., Ramos-Escudero, A., García-Cascales, M. S., Dagher, H., & Molina-García,A. (2022). Fuzzy GIS-based MCDM solution for the optimal offshore wind site selection:Research of Key Factors of Offshore Wind Farm Site Selection151The Gulf of Maine case. Renewable Energy, 183, 130-147.Gkeka-Serpetsidaki, P., & Tsoutsos, T. (2022). A methodological framework for optimal sitingof offshore wind farms: A case study on the island of Crete. Energy, 239, 122296.Global Wind Energy Council. (2022a). Global Offshore Wind Report 2022. Brussels: Author.Global Wind Energy Council. (2022b). Global Wind Report 2022. Brussels: Author.Gustavson, M. (1979). Limits to Wind Power Utilization. Science, 204(4388): 13-17.Haapala, K. R., & Prempreeda, P. (2014). Comparative life cycle assessment of 2.0 MW windturbines. International Journal of Sustainable Manufacturing, 3(2), 170-185.International Energy Agency. (2021b). Global Energy Review 2021. Paris: Author.International Energy Agency. (2022a). Global Energy Review: CO2 Emissions in 2021. Paris:Author.International Energy Agency. (2022b). World Energy Outlook 2022. Paris: Author.Intergovernmental Panel on Climate Change. (2022). Climate Change 2022: Impacts,adaptation and vulnerability: sixth assessment report. Geneva: World MeteorologicalOrganization (WMO) & United Nations Environment Programme (UNEP).Ishikawa, A., Amagasa, M., Shiga, T., Tomizawa, G., Tatsuta, R., & Mieno, H. (1993). Themax-min Delphi method and fuzzy Delphi method via fuzzy integration. Fuzzy sets andsystems, 55(3), 241-253.Katzner, T. E., Nelson, D. M., Braham, M. A., Doyle, J. M., Fernandez, N. B., Duerr, A. E.,Bloom P. H., Fitzpatrick M. C., Miller T. A., Culver R. C. E., Braswell L., & DeWoody, J.A. (2017). Golden Eagle fatalities and the continental‐scale consequences of local wind‐energy generation. Conservation Biology, 31(2), 406-415.Katzner, T. E., Nelson, D. M., Diffendorfer, J. E., Duerr, A. E., Campbell, C. J., Leslie, D., ...& Miller, T. A. (2019). Wind energy: An ecological challenge. Science, 366(6470), 1206-1207.Kim, C. K., Jang, S., & Kim, T. Y. (2018). Site selection for offshore wind farms in thesouthwest coast of South Korea. Renewable energy, 120, 151-162.Kim, J. Y., Oh, K. Y., Kang, K. S., & Lee, J. S. (2013). Site selection of offshore wind farmsaround the Korean Peninsula through economic evaluation. Renewable Energy, 54, 189-195.Kim, T., Park, J. I., & Maeng, J. (2016). Offshore wind farm site selection study around JejuIsland, South Korea. Renewable Energy, 94, 619-628.Lawrence Berkeley National Laboratory. (2021). Land-Based Wind Market Report: 2022Edition. Washington, DC: U.S. Department of Energy.Loughney, S., Wang, J., Bashir, M., Armin, M., & Yang, Y. (2021). Development andapplication of a multiple-attribute decision-analysis methodology for site selection offloating offshore wind farms on the UK Continental Shelf. Sustainable EnergyTechnologies and Assessments, 47, 101440.Lindeboom, H., Degraer, S., Dannheim, J., Gill, A. B., & Wilhelmsson, D. (2015). Offshorewind park monitoring programmes, lessons learned and recommendations for the future.Hydrobiologia, 756(1), 169-180.Massachusetts Institute of Technology. (2010). Wind Power Fundamentals. Cambridge, MA:Author.Marques, A. T., Santos, C. D., Hanssen, F., Muñoz, A. R., Onrubia, A., Wikelski, M., MoreiraF., Palmeirim J. M., & Silva, J. P. (2020). Wind turbines cause functional habitat loss formigratory soaring birds. Journal of Animal Ecology, 89(1), 93-103.Möller, B. (2011). Continuous spatial modelling to analyse planning and economicconsequences of offshore wind energy. Energy Policy, 39(2), 511-517.National Development Council. 2022. Taiwan’s Pathway to 2050 Net-Zero Emissions. Taipei:Author.New York State Energy Research and Development Authority. (2017). New York State Area forConsideration for the Potential Locating of Offshore Wind Energy Areas. Albany, NY:Author.Policy Department for External Relations. (2018). Energy as a tool of foreign policy ofauthoritarian states, in particular Russia. Strasbourg: Korteweg, R. Requested by theEuropean Parliament`s Committee on Foreign Affairs (AFET).Research of Key Factors of Offshore Wind Farm Site Selection153Salvador, C. B., Arzaghi, E., Yazdi, M., Jahromi, H. A., & Abbassi, R. (2022). A multi-criteriadecision-making framework for site selection of offshore wind farms in Australia. Ocean& Coastal Management, 224, 106196.Shields, M., Beiter, P., Nunemaker, J., Cooperman, A., & Duffy, P. (2021). Impacts of turbineand plant upsizing on the levelized cost of energy for offshore wind. Applied Energy, 298,117189.Siemens Gamesa. (2015). A clean energy solution – from cradle to grave. Zamudio: Author.Sourianos, E., Kyriakou, K., & Hatiris, G. A. (2017). GIS-based spatial decision support systemfor the optimum siting of offshore windfarms. European Water, 58, 337-343.Taoufik, M., & Fekri, A. (2021). GIS-based multi-criteria analysis of offshore wind farmdevelopment in Morocco. Energy Conversion and Management: X, 11, 100103.U.S. Energy Information Administration. (2022). Electric Power Monthly with Data for August2022. Washington, DC: Author.Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications.European Journal of operational research, 169(1), 1-29.Varun, R. P., & Bhat, I. K. (2009). Energy, economics and environmental impacts of renewableenergy systems. Renewable and sustainable energy reviews, 13(9), 2716-2721.Veers, P., Dykes, K., Lantz, E., Barth, S., Bottasso, C. L., Carlson, O., ... & Wiser, R. (2019).Grand challenges in the science of wind energy. Science, 366(6464), eaau2027.WindEurope. (2020). Wind energy and economic recovery in Europe: How wind energy willput communities at the heart of the green recovery. Brussels: Author.WindEurope. (2022). Wind energy in Europe: 2021 Statistics and the outlook for 2022-2026.Brussels: Author.Wiser, R., Jenni, K., Seel, J., Baker, E., Hand, M., Lantz, E., & Smith, A. (2016). Expertelicitation survey on future wind energy costs. Nature Energy, 1(10), 1-8.Wuebbles, D. J., & Jain, A. K. (2001). Concerns about climate change and the role of fossilfuel use. Fuel Processing Technology, 71(1-3), 99-119.Wu, Y., Zhang, J., Yuan, J., Geng, S., & Zhang, H. (2016). Study of decision framework ofoffshore wind power station site selection based on ELECTRE-III under intuitionisticfuzzy environment: A case of China. Energy Conversion and Management, 113, 66-81.Wu, Y., Tao, Y., Zhang, B., Wang, S., Xu, C., & Zhou, J. (2020). A decision framework ofoffshore wind power station site selection using a PROMETHEE method underintuitionistic fuzzy environment: A case in China. Ocean & Coastal Management, 184,105016.Xu, C.H. (1998). The Fuzzy Delphi Analytic Hierarchy Process. Journal of the Chinese FuzzySystems Association, 4(1):59-72.3 Online SourcesBureau of Energy. (2019). Policy of Offshore Wind in Taiwan. Retrieved fromhttps://www.tresor.economie.gouv.fr/Articles/f27ed9b3-e7db-40bf-880c5f1351c0a826/files/f4318f81-7d7b-44cc-a462-193ca3840d20Eurostat. (2021). Extra-EU imports of natural gas by partner, [PNG file]. Retrieved fromhttps://ec.europa.eu/eurostat/stat121istics-explained/index.php?title=File:ExtraEU_imports_of_natural_gas_by_partner,_2019_and_2020.png#filelinksEurostat. (2022). Extra-EU imports of natural gas by partner, [PNG file]. Retrieved fromhttps://ec.europa.eu/eurostat/statistics-explained/index.php?title=File:ExtraEU_imports_of_natural_gas_by_partner.pngInternational Energy Agency. (2021a). Greenhouse Gas Emissions from Energy Data Explorer.Paris: Author. Retrieved from https://www.iea.org/data-and-statistics/datatools/greenhouse-gas-emissions-from-energy-data-explorerInternational Energy Agency. (2021c). The Role of Key Minerals in Clean Energy Transitions.Paris: Author. Retrieved from https://www.iea.org/reports/the-role-of-key-minerals-inclean-energy-transitions. License: CC BY 4.0International Energy Agency. (2022c). Wind Electricity. Paris: Author. Retrieved fromhttps://www.iea.org/reports/wind-electricity. License: CC BY 4.0International Monetary Fund. (2022). Global price of Natural gas, EU [PNGASEUUSDM].Retrieved from https://fred.stlouisfed.org/series/PNGASEUUSDM.Research of Key Factors of Offshore Wind Farm Site Selection155Taipower. (2022). Historical Electricity Generation. Retrieved fromhttps://www.taipower.com.tw/en/page.aspx?mid=4488&cid=2794&cchk=9ca22cf6-ec7f-484e-8268-a7cb3ff6d1ceTaipower. (2022). Wind Power Generation. Retrieved fromhttps://www.taipower.com.tw/en/page.aspx?mid=4495&cid=2841&cchk=7439ed1d736a-4b20-a154-c68daac01614U.S. Department of Justice. Office of Public Affairs. (2014). Utility company sentenced inWyoming for killing protected birds at wind projects. Retrieved fromhttps://www.justice.gov/opa/pr/utility-company-sentenced-wyoming-killing-protectedbirds-wind-projects-04 Newspaper ArticlesAthens Bureau. (May 25, 2021). Florina court halts wind farm construction at Nymfaio. GreekCity Times. Retrieved from https://greekcitytimes.com/2021/05/25/florina-court-windfarm/Shuli Huang. (April 5, 2022). Offshore Wind Power Ecological Priority Project Bats Listed (離岸風電生態優先項目 蝙蝠入列 ). Liberty Times Net, Life. Retrieved fromhttps://news.ltn.com.tw/news/life/paper/15099145 Master’s ThesisLin, X.L. (2006). Key Success Factors and Potential of Wind-Turbine Industry Developmentin Taiwan (Master’s thesis, Chung Yuan Christian University, Taoyuan, Taiwan).6 OthersBureau of Energy. (2015). Key Points for Offshore Wind Power Planning Site Application (離岸風力發電規劃場址申請作業要點).,Bureau of Energy. (2021). Research and Analysis of Marine Ecology-Research Report onOperation of Demonstration Wind Farm During Operation (離岸風場海洋生態研析-示範風場營運間海洋生態監測作業研究).Environmental Protection Agency. (2007). Technical Specifications for Marine EcologicalSurveys (海洋生態評估技術規範).行政院環境保護署 書函。(2022)。檢送本署環境影響評估審查委員會第 414 次會議紀錄 1 份,請查照。環署綜字第 1111031966 號. 描述 碩士
國立政治大學
地政學系
110257012資料來源 http://thesis.lib.nccu.edu.tw/record/#G0110257012 資料類型 thesis dc.contributor.advisor 孫振義<br>簡連貴 zh_TW dc.contributor.advisor Sun, Chen-Yi<br>Chien, Lien-Kwei en_US dc.contributor.author (Authors) 李玟倩 zh_TW dc.contributor.author (Authors) Lee, Wen-Chien en_US dc.creator (作者) 李玟倩 zh_TW dc.creator (作者) Lee, Wen-Chien en_US dc.date (日期) 2023 en_US dc.date.accessioned 1-Sep-2023 15:15:17 (UTC+8) - dc.date.available 1-Sep-2023 15:15:17 (UTC+8) - dc.date.issued (上傳時間) 1-Sep-2023 15:15:17 (UTC+8) - dc.identifier (Other Identifiers) G0110257012 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/146992 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 地政學系 zh_TW dc.description (描述) 110257012 zh_TW dc.description.abstract (摘要) 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。 zh_TW dc.description.abstract (摘要) 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. en_US dc.description.tableofcontents List of Figures 10List of Tables 12Chapter I INTRODUCTION 151 Statement of the Problem 152 Research Objectives 173 Research Scope and Context 183.1 Scope and Limitation 183.2 Research context 204 Research Process and Methods 224.1 Research Process 224.2 Research Methods 24Chapter II LITERATURE REVIEW 251 Global Warming and Energy Security 252 Wind Energy and Development 282.1 Introduction of wind generation 282.2 Benefits of wind energy 302.3 Wind Energy Development 322.4 Summary 373 Offshore Wind Energy Development 383.1 Global overview 383.2 Taiwan 413.3 Summary 464 Factors Considered in Offshore Wind Farm Site Selection 474.1 Taiwan 474.2 North America 544.3 Europe and North Africa 564.4 Asia 644.5 Australia 704.6 Summary 71Chapter III RESEARCH DESIGN 771 Research Structure 772 Drafting of the Key Factors 792.1 Drafting of the Key Factors 792.2 Factors description 823 Expert Questionnaire Implementation Plan 923.1 Purpose of the questionnaire 923.2 Fuzzy Delphi Method questionnaire 923.3 Analytic Hierarchy Process questionnaire 953.4 Survey participants 98Chapter IV DATA ANALYSIS AND RESULTS 991 Finalizing Content of Key Factors 991.1 FDM Questionnaire Distribution and Collection 991.2 Calculation of FDM Questionnaire 1001.3 Data Analysis of FDM Questionnaire 1061.4 Hierarchical Structure Adjustment 1141.5 Summary 1162 Priority of Key Factors 1182.1 The Finalized Structure of the Key Factors 1182.2 AHP Questionnaire Distribution and Collection 1202.3 Weight Analysis of Each Level 1222.4 Weight Analysis of Each Field of Experts 1292.5 Summary 139Chapter V CONCLUSIONS AND REC 1431 Conclusions 1432 Recommendations and Limitations 147Reference 149Appendix 1 Fuzzy Delphi Method Questionnaire 157Appendix 2 Analytic Hierarchy Process Questionnaire 168Appendix 3 AHP Questionnaire Consistency Test Results of Each HierarchyStructure 188 zh_TW dc.format.extent 10511815 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0110257012 en_US dc.subject (關鍵詞) 離岸風力發電 zh_TW dc.subject (關鍵詞) 選址 zh_TW dc.subject (關鍵詞) 關鍵因素 zh_TW dc.subject (關鍵詞) 模糊德爾非法 zh_TW dc.subject (關鍵詞) 層級分析法 zh_TW dc.subject (關鍵詞) Offshore wind farm en_US dc.subject (關鍵詞) Site selection en_US dc.subject (關鍵詞) Key factors en_US dc.subject (關鍵詞) Fuzzy Delphi Method en_US dc.subject (關鍵詞) Analytical Hierarchy Process en_US dc.title (題名) 離岸風電場選址關鍵因素研究 zh_TW dc.title (題名) Key Factors of Offshore Wind Farm Site Selection en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) 1 BooksLiang, S.W and Wu, P.L. (2016). Research Methods. New Taipei: Gao-lih.Zhang, S.X. (2012). Fuzzy Multi-Criteria Decision Making for Evaluation Method. Taipei:Wunan.2 Journal ArticlesAmerican Clean Power. (2022). Wind Power Facts. Washington, DC: Author.Amponsah, N. Y., Troldborg, M., Kington, B., Aalders, I., & Hough, R. L. (2014). Greenhousegas emissions from renewable energy sources: A review of lifecycle considerations.Renewable and Sustainable Energy Reviews, 39, 461-475.Bennett, N. J., Blythe, J., White, C. S., & Campero, C. (2021). Blue growth and blue justice:Ten risks and solutions for the ocean economy. Marine Policy, 125, 104387.Bonou, A., Laurent, A., & Olsen, S. I. (2016). Life cycle assessment of onshore and offshorewind energy-from theory to application. Applied Energy, 180, 327-337.Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative researchjournal, 9(2):27-40.Bureau of Energy. (2020). Energy Transition White Paper (Approved Version). Taipei: Ministryof Economic Affairs.Caceoğlu, E., Yildiz, H. K., Oğuz, E., Huvaj, N., & Guerrero, J. M. (2022). Offshore windpower plant site selection using Analytical Hierarchy Process for Northwest Turkey.Ocean Engineering, 252, 111178.Deveci, M., Cali, U., Kucuksari, S., & Erdogan, N. (2020). Interval type-2 fuzzy sets basedmulti-criteria decision-making model for offshore wind farm development in Ireland.Energy, 198, 117317.Deveci M., Özcan E., & John R. (2020). Offshore Wind Farms: A Fuzzy Approach to SiteSelection in a Black Sea Region. 2020 IEEE Texas Power and Energy Conference (TPEC),1-6. doi: 10.1109/TPEC48276.2020.9042530.Deveci, M., Pamucar, D., Cali, U., Kantar, E., Kölle, K., & Tande, J. O. (2022). Hybrid q-RungOrthopair Fuzzy Sets Based CoCoSo Model for Floating Offshore Wind Farm SiteSelection in Norway. CSEE Journal of Power and Energy Systems, 8(5), 1261-1280.Díaz, H., Fonseca, R. B., & Soares, C.G. (2019). Site selection process for floating offshorewind farms in Madeira Islands. Advances in Renewable Energies Offshore, 729-737.Díaz, H., & Soares, C. G. (2020). An integrated GIS approach for site selection of floatingoffshore wind farms in the Atlantic continental European coastline. Renewable andSustainable Energy Reviews, 134, 110328.Diógenes, J. R. F., Rodrigues, J. C., Diógenes, M. C. F., & Claro, J. (2020). Overcomingbarriers to onshore wind farm implementation in Brazil. Energy Policy, 138, 111165.Elia, A., Taylor, M., Gallachóir, B. Ó., & Rogan, F. (2020). Wind turbine cost reduction: Adetailed bottom-up analysis of innovation drivers. Energy Policy, 147, 111912.Ember. (2022). Global Electricity Mid-Year Insights 2022. Malgorzata Wiatros-Motyka.Emeksiz, C., & Demirci, B. (2019). The determination of offshore wind energy potential ofTurkey by using novelty hybrid site selection method. Sustainable Energy Technologiesand Assessments, 36, 100562.Energy Sector Management Assistance Program. (2019). Going Global: Expanding OffshoreWind to Emerging Markets. World Bank: Washington, DC.Fetanat, A., & Khorasaninejad, E. (2015). A novel hybrid MCDM approach for offshore windfarm site selection: A case study of Iran. Ocean & Coastal Management, 109, 17-28.Frick, W. F., Baerwald, E. F., Pollock, J. F., Barclay, R. M., Szymanski, J. A., Weller, T. J.,Russell A.L., Loeb S.C., Medellin R.A. & McGuire, L. P. (2017). Fatalities at windturbines may threaten population viability of a migratory bat. Biological Conservation,209, 172-177.Gerbens-Leenes, W., Hoekstra, A. Y., & van der Meer, T. H. (2008). The water footprint ofbioenergy and other primary energy carriers. (Value of water research report series 29;No. 29). Delft: Unesco-IHE Institute for Water Education.Gil-García, I. C., Ramos-Escudero, A., García-Cascales, M. S., Dagher, H., & Molina-García,A. (2022). Fuzzy GIS-based MCDM solution for the optimal offshore wind site selection:Research of Key Factors of Offshore Wind Farm Site Selection151The Gulf of Maine case. Renewable Energy, 183, 130-147.Gkeka-Serpetsidaki, P., & Tsoutsos, T. (2022). A methodological framework for optimal sitingof offshore wind farms: A case study on the island of Crete. Energy, 239, 122296.Global Wind Energy Council. (2022a). Global Offshore Wind Report 2022. Brussels: Author.Global Wind Energy Council. (2022b). Global Wind Report 2022. Brussels: Author.Gustavson, M. (1979). Limits to Wind Power Utilization. Science, 204(4388): 13-17.Haapala, K. R., & Prempreeda, P. (2014). Comparative life cycle assessment of 2.0 MW windturbines. International Journal of Sustainable Manufacturing, 3(2), 170-185.International Energy Agency. (2021b). Global Energy Review 2021. Paris: Author.International Energy Agency. (2022a). Global Energy Review: CO2 Emissions in 2021. Paris:Author.International Energy Agency. (2022b). World Energy Outlook 2022. Paris: Author.Intergovernmental Panel on Climate Change. (2022). Climate Change 2022: Impacts,adaptation and vulnerability: sixth assessment report. Geneva: World MeteorologicalOrganization (WMO) & United Nations Environment Programme (UNEP).Ishikawa, A., Amagasa, M., Shiga, T., Tomizawa, G., Tatsuta, R., & Mieno, H. (1993). Themax-min Delphi method and fuzzy Delphi method via fuzzy integration. Fuzzy sets andsystems, 55(3), 241-253.Katzner, T. E., Nelson, D. M., Braham, M. A., Doyle, J. M., Fernandez, N. B., Duerr, A. E.,Bloom P. H., Fitzpatrick M. C., Miller T. A., Culver R. C. E., Braswell L., & DeWoody, J.A. (2017). Golden Eagle fatalities and the continental‐scale consequences of local wind‐energy generation. Conservation Biology, 31(2), 406-415.Katzner, T. E., Nelson, D. M., Diffendorfer, J. E., Duerr, A. E., Campbell, C. J., Leslie, D., ...& Miller, T. A. (2019). Wind energy: An ecological challenge. Science, 366(6470), 1206-1207.Kim, C. K., Jang, S., & Kim, T. Y. (2018). Site selection for offshore wind farms in thesouthwest coast of South Korea. Renewable energy, 120, 151-162.Kim, J. Y., Oh, K. Y., Kang, K. S., & Lee, J. S. (2013). Site selection of offshore wind farmsaround the Korean Peninsula through economic evaluation. Renewable Energy, 54, 189-195.Kim, T., Park, J. I., & Maeng, J. (2016). Offshore wind farm site selection study around JejuIsland, South Korea. Renewable Energy, 94, 619-628.Lawrence Berkeley National Laboratory. (2021). Land-Based Wind Market Report: 2022Edition. Washington, DC: U.S. Department of Energy.Loughney, S., Wang, J., Bashir, M., Armin, M., & Yang, Y. (2021). Development andapplication of a multiple-attribute decision-analysis methodology for site selection offloating offshore wind farms on the UK Continental Shelf. Sustainable EnergyTechnologies and Assessments, 47, 101440.Lindeboom, H., Degraer, S., Dannheim, J., Gill, A. B., & Wilhelmsson, D. (2015). Offshorewind park monitoring programmes, lessons learned and recommendations for the future.Hydrobiologia, 756(1), 169-180.Massachusetts Institute of Technology. (2010). Wind Power Fundamentals. Cambridge, MA:Author.Marques, A. T., Santos, C. D., Hanssen, F., Muñoz, A. R., Onrubia, A., Wikelski, M., MoreiraF., Palmeirim J. M., & Silva, J. P. (2020). Wind turbines cause functional habitat loss formigratory soaring birds. Journal of Animal Ecology, 89(1), 93-103.Möller, B. (2011). Continuous spatial modelling to analyse planning and economicconsequences of offshore wind energy. Energy Policy, 39(2), 511-517.National Development Council. 2022. Taiwan’s Pathway to 2050 Net-Zero Emissions. Taipei:Author.New York State Energy Research and Development Authority. (2017). New York State Area forConsideration for the Potential Locating of Offshore Wind Energy Areas. Albany, NY:Author.Policy Department for External Relations. (2018). Energy as a tool of foreign policy ofauthoritarian states, in particular Russia. Strasbourg: Korteweg, R. Requested by theEuropean Parliament`s Committee on Foreign Affairs (AFET).Research of Key Factors of Offshore Wind Farm Site Selection153Salvador, C. B., Arzaghi, E., Yazdi, M., Jahromi, H. A., & Abbassi, R. (2022). A multi-criteriadecision-making framework for site selection of offshore wind farms in Australia. Ocean& Coastal Management, 224, 106196.Shields, M., Beiter, P., Nunemaker, J., Cooperman, A., & Duffy, P. (2021). Impacts of turbineand plant upsizing on the levelized cost of energy for offshore wind. Applied Energy, 298,117189.Siemens Gamesa. (2015). A clean energy solution – from cradle to grave. Zamudio: Author.Sourianos, E., Kyriakou, K., & Hatiris, G. A. (2017). GIS-based spatial decision support systemfor the optimum siting of offshore windfarms. European Water, 58, 337-343.Taoufik, M., & Fekri, A. (2021). GIS-based multi-criteria analysis of offshore wind farmdevelopment in Morocco. Energy Conversion and Management: X, 11, 100103.U.S. Energy Information Administration. (2022). Electric Power Monthly with Data for August2022. Washington, DC: Author.Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications.European Journal of operational research, 169(1), 1-29.Varun, R. P., & Bhat, I. K. (2009). Energy, economics and environmental impacts of renewableenergy systems. Renewable and sustainable energy reviews, 13(9), 2716-2721.Veers, P., Dykes, K., Lantz, E., Barth, S., Bottasso, C. L., Carlson, O., ... & Wiser, R. (2019).Grand challenges in the science of wind energy. Science, 366(6464), eaau2027.WindEurope. (2020). Wind energy and economic recovery in Europe: How wind energy willput communities at the heart of the green recovery. Brussels: Author.WindEurope. (2022). Wind energy in Europe: 2021 Statistics and the outlook for 2022-2026.Brussels: Author.Wiser, R., Jenni, K., Seel, J., Baker, E., Hand, M., Lantz, E., & Smith, A. (2016). Expertelicitation survey on future wind energy costs. Nature Energy, 1(10), 1-8.Wuebbles, D. J., & Jain, A. K. (2001). Concerns about climate change and the role of fossilfuel use. Fuel Processing Technology, 71(1-3), 99-119.Wu, Y., Zhang, J., Yuan, J., Geng, S., & Zhang, H. (2016). Study of decision framework ofoffshore wind power station site selection based on ELECTRE-III under intuitionisticfuzzy environment: A case of China. Energy Conversion and Management, 113, 66-81.Wu, Y., Tao, Y., Zhang, B., Wang, S., Xu, C., & Zhou, J. (2020). A decision framework ofoffshore wind power station site selection using a PROMETHEE method underintuitionistic fuzzy environment: A case in China. Ocean & Coastal Management, 184,105016.Xu, C.H. (1998). The Fuzzy Delphi Analytic Hierarchy Process. Journal of the Chinese FuzzySystems Association, 4(1):59-72.3 Online SourcesBureau of Energy. (2019). Policy of Offshore Wind in Taiwan. Retrieved fromhttps://www.tresor.economie.gouv.fr/Articles/f27ed9b3-e7db-40bf-880c5f1351c0a826/files/f4318f81-7d7b-44cc-a462-193ca3840d20Eurostat. (2021). Extra-EU imports of natural gas by partner, [PNG file]. Retrieved fromhttps://ec.europa.eu/eurostat/stat121istics-explained/index.php?title=File:ExtraEU_imports_of_natural_gas_by_partner,_2019_and_2020.png#filelinksEurostat. (2022). Extra-EU imports of natural gas by partner, [PNG file]. Retrieved fromhttps://ec.europa.eu/eurostat/statistics-explained/index.php?title=File:ExtraEU_imports_of_natural_gas_by_partner.pngInternational Energy Agency. (2021a). Greenhouse Gas Emissions from Energy Data Explorer.Paris: Author. Retrieved from https://www.iea.org/data-and-statistics/datatools/greenhouse-gas-emissions-from-energy-data-explorerInternational Energy Agency. (2021c). The Role of Key Minerals in Clean Energy Transitions.Paris: Author. Retrieved from https://www.iea.org/reports/the-role-of-key-minerals-inclean-energy-transitions. License: CC BY 4.0International Energy Agency. (2022c). Wind Electricity. Paris: Author. Retrieved fromhttps://www.iea.org/reports/wind-electricity. License: CC BY 4.0International Monetary Fund. (2022). Global price of Natural gas, EU [PNGASEUUSDM].Retrieved from https://fred.stlouisfed.org/series/PNGASEUUSDM.Research of Key Factors of Offshore Wind Farm Site Selection155Taipower. (2022). Historical Electricity Generation. Retrieved fromhttps://www.taipower.com.tw/en/page.aspx?mid=4488&cid=2794&cchk=9ca22cf6-ec7f-484e-8268-a7cb3ff6d1ceTaipower. (2022). Wind Power Generation. Retrieved fromhttps://www.taipower.com.tw/en/page.aspx?mid=4495&cid=2841&cchk=7439ed1d736a-4b20-a154-c68daac01614U.S. Department of Justice. Office of Public Affairs. (2014). Utility company sentenced inWyoming for killing protected birds at wind projects. Retrieved fromhttps://www.justice.gov/opa/pr/utility-company-sentenced-wyoming-killing-protectedbirds-wind-projects-04 Newspaper ArticlesAthens Bureau. (May 25, 2021). Florina court halts wind farm construction at Nymfaio. GreekCity Times. Retrieved from https://greekcitytimes.com/2021/05/25/florina-court-windfarm/Shuli Huang. (April 5, 2022). Offshore Wind Power Ecological Priority Project Bats Listed (離岸風電生態優先項目 蝙蝠入列 ). Liberty Times Net, Life. Retrieved fromhttps://news.ltn.com.tw/news/life/paper/15099145 Master’s ThesisLin, X.L. (2006). Key Success Factors and Potential of Wind-Turbine Industry Developmentin Taiwan (Master’s thesis, Chung Yuan Christian University, Taoyuan, Taiwan).6 OthersBureau of Energy. (2015). Key Points for Offshore Wind Power Planning Site Application (離岸風力發電規劃場址申請作業要點).,Bureau of Energy. (2021). Research and Analysis of Marine Ecology-Research Report onOperation of Demonstration Wind Farm During Operation (離岸風場海洋生態研析-示範風場營運間海洋生態監測作業研究).Environmental Protection Agency. (2007). Technical Specifications for Marine EcologicalSurveys (海洋生態評估技術規範).行政院環境保護署 書函。(2022)。檢送本署環境影響評估審查委員會第 414 次會議紀錄 1 份,請查照。環署綜字第 1111031966 號. zh_TW