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| Title: | 台灣地區陸域風力發電之潛力分析：利用機器學習及地理資訊系統評估
The Onshore Wind Power Potential in Taiwan: An Assessment Using Machine Learning and Geographic Information System |
| Authors: | 常春麗
Haydee, Partida Castillo Laura |
| Contributors: | 李慧琳
Huey-Lin Lee
常春麗
Partida Castillo Laura Haydee |
| Keywords: | 風能潛力評估
地理資訊系統
機器學習
wind energy potential assessment
geographic information systems
machine learning |
| Date: | 2022 |
| Issue Date: | 2022-09-02 15:53:19 (UTC+8) |
| Abstract: | 本論文試圖處理一個研究缺口：由於台灣在風力發電方面的發展相對較新，本研究探討未來發展風能作為台灣重要能源的可能性。這方面的研究對於電力能源安全政策具有參考價值，因為台灣政府決定停止使用核電和尋求更環保的能源。台灣的地理條件優越，而且盛行風充足，兩者皆是風力發電的潛在來源。本研究的主要分析方法是地理資訊系統 (GIS) 和機器學習模型Prophet。GIS用於找出風速佳和風能較充足的區域，以便能夠充分利用那些特定區域的風能，並且將其轉化為能源。GIS結果顯示台灣海峽是風力來源最充足的區域，這區域位於台灣本島的西海岸，亦是台灣電力公司陸域型風力發電場之所在地。藉由Prophet的預測，我們分析了這17個陸域型風力發電場自2017年1月至2022年2月的風力發電量。我們的研究結果顯示在冬季期間風力發電量達到最高，而這些風力發電量主要產自建置在台灣海峽沿岸地區之風力發電場。Prophet模型的預測結果顯示，自 2017年到2023年，風力發電呈現持續增長的趨勢。本研究的焦點為陸域型風力發電，但我們也簡要地探討建設離岸風力發電場所帶來的環境影響，這是本地環保組織所高度關注的面向，也是影響未來風力發電場建置的重要因素。
This thesis is an attempt to address a gap in the research: since Taiwanese wind energy development is relatively new, this research explores the possibility of future development of wind as an important energy resource for Taiwan. This is of particular interest due to the Taiwanese government’s decision to cease the use of nuclear power and to seek more environmentally-sound sources of energy. Taiwan has excellent geographical features and an abundance of prevailing winds, both of which serve as potential sources of wind power. Our primary methods of analysis are Geographic Information System (GIS) and Prophet, a machine learning model. GIS is used to identify the areas where wind speed and wind power are more abundant so as to be able to fully exploit a specific region`s wind capacity and transform it into energy. GIS results indicate that the Taiwan Strait is the area with most abundant wind sources, and it is on the west coast where Taipower’s onshore wind farms are located. With Prophet, we analyzed the wind energy production of these 17 onshore wind farms from January 2017 to February 2022. Our findings show that wind energy production is highest during the winter, from the wind farms set up in the area with more abundant wind sources along the Taiwan Strait. The Prophet model suggests a constantly increasing trend in wind energy generation from 2017 to 2023. This study focuses on onshore wind energy production and uncovers other findings beyond our analysis. We also briefly explored the environmental impact brought about by the construction of offshore wind farms, about which local environmental groups are highly concerned. |
| Reference: | 4C Offshore TGS Company. (2022). Offshore Wind Farms in Taiwan. 4C Offshore. https://www.4coffshore.com/windfarms/taiwan/
Ai, C., & Hsu, E. (2022, April 15). Taiwan world’s 16th largest trading economy in 2021: MOF. Focus Taiwan. https://focustaiwan.tw/business/202204150008#:~:text=Taiwan%20had%20US%24446.4%20billion,Trade%20Organization%20(WTO)%20data.
Auken, S. (2002). Answers in the Wind: How Denmark Became a World Pioneer in Wind Power. The Fletcher Forum of World Affairs, 26, 149–157. http://www.jstor.org/stable/45289170
Beccario, C. (2022). Earth. https://earth.nullschool.net/#current/wind/surface/level/orthographic=-348.47,1.01,296
Blanco, M. I. (2009). The economics of wind energy. Renewable and Sustainable Energy Reviews, 13(6–7), 1372–1382. https://doi.org/10.1016/J.RSER.2008.09.004
Bureau of Energy, & Ministry of Economic Affairs. (2021). Energy Statistics Hanbook 2020. Bureau of Energy, Ministry of Economic Affairs. https://www.moeaboe.gov.tw/ECW_WEBPAGE/FlipBook/2020EnergyStaHandBook/2020EnergyStaHandBook.pdf
Bureau of Energy, M. of E. A. (2022). Taiwan Electricity Consumption: Total. CEI Data. https://www.ceicdata.com/en/taiwan/energy-consumption-electricity-bureau-of-energy-ministry-of-economic-affairs/electricity-consumption-total
Castellani, F., Astolfi, D., Mana, M., Burlando, M., Meißner, C., & Piccioni, E. (2016). Wind Power Forecasting techniques in complex terrain: ANN vs. ANN-CFD hybrid approach. Journal of Physics: Conference Series, 753, 082002. https://doi.org/10.1088/1742-6596/753/8/082002
Central News Agency. (2020, June 1). Higher summer electricity rates take effect in Taiwan. Taiwan News . https://www.taiwannews.com.tw/en/news/3942787#:~:text=The%20average%20household%20consumption%20in,hua%20(%E5%BE%90%E9%80%A0%E8%8F%AF).
Chang, C. (2020, February 27). Taiwan to boost renewable energy to 20% by 2025, introduce trillion-dollar investment. Taiwan News. https://www.taiwannews.com.tw/en/news/3880997
Chang, Eric. (2022, February 22). Taipower’s onshore wind turbines have generated 10 billion kWh of electricity in Taiwan. Taiwan News. https://www.taiwannews.com.tw/en/news/4451686
Chang, T. J., Chen, C. L., Tu, Y. L., Yeh, H. te, & Wu, Y. T. (2015). Evaluation of the climate change impact on wind resources in Taiwan Strait. Energy Conversion and Management, 95, 435–445. https://doi.org/10.1016/J.ENCONMAN.2015.02.033
Chao, M. M., Kuo, J., & Wang, R. H. (2021). Taiwan Offshore Wind Farm Projects: Updates to Guide Investors and Financiers through the Legal and Regulatory Framework. https://www.jonesday.com/en/insights/2021/08/taiwan-offshore-wind-farm-projects-update
Chen, K. (2021, March 5). Taiwan Renewable Energy Market. The International Trade Administration, U.S. Department of Commerce. https://www.trade.gov/market-intelligence/taiwan-renewable-energy-market
Chin, H. (2022). Economy. Government Portal of the Republic of China (Taiwan). https://www.taiwan.gov.tw/content_7.php
CIA. (2022, April 21). Taiwan. The World Factbook. https://www.cia.gov/the-world-factbook/countries/taiwan/#energy
Clark II, W. W. (2018). Afterword: A Sustainable Economic and Finance Proposal. In Sustainable Cities and Communities Design Handbook (pp. 573–583). Elsevier. https://doi.org/10.1016/B978-0-12-813964-6.00030-6
Copper, J. C. (2022, March 8). Taiwan. Britannica, Countries of the World. https://www.britannica.com/place/Taiwan
Daly, H. E. (2007). Ecological Economics and Sustainable Development, Selected Essays of Herman Daly (R. Constanza, Ed.). Edward Elgar Publishing Limited.
Das, S. (2019). Forecasting the Generation of Wind Power in the Western and Southern Regions of India: Comparative Approach [MSc Research Project, National College of Ireland]. http://norma.ncirl.ie/4267/1/saptarshidas.pdf
Dearden, A. (2020, August 11). When ‘clean energy’ comes up short: Wind farms threaten Taiwanese white dolphins. Ocean Wise. https://ocean.org/blog/when-clean-energy-comes-up-short-wind-farms-threaten-taiwanese-white-dolphins/
de Gouvello, C., Taylor, R., & Song, Y. (2021). China: 40-Year Experience in Renewable Energy Development Policies, Achievements, and Lessons Learned. https://doi.org/10.1596/36667
Department of Wind Energy, & The World Bank Group. (2022). Taiwan. Global Wind Atlas, Global Solar Atlas, Energy Data. https://globalwindatlas.info/area/Taiwan
di Stefano, A. (2022). AI and Machine Learning in the Wind Power Industry. Apro Software. https://apro-software.com/ai-in-wind-power-industry/
Domínguez, J., & Amador, J. (2007). Geographical information systems applied in the field of renewable energy sources. Computers & Industrial Engineering, 52(3), 322–326. https://doi.org/10.1016/j.cie.2006.12.008
Facebook. (n.d.). Python API. Facebook Open Source. Retrieved May 18, 2022, from https://facebook.github.io/prophet/docs/quick_start.html#python-api
Feigenbaum, E. A., & Hou, J.-Y. (2020, April 27). Overcoming Taiwan’s Energy Trilemma. Carnegie, Endowment for International Peace. https://carnegieendowment.org/2020/04/27/overcoming-taiwan-s-energy-trilemma-pub-81645
Fishman, M. (2019, November 15). New Recovery Plan Seeks to Ward Off Extinction of Taiwanese White Dolphin. The Animal Welfare Institute. https://awionline.org/press-releases/new-recovery-plan-seeks-ward-extinction-taiwanese-white-dolphin
Gao, A. M.-Z., Huang, C.-H., Lin, J.-C., & Su, W.-N. (2021). Review of recent offshore wind power strategy in Taiwan: Onshore wind power comparison. Energy Strategy Reviews, 38. https://www.sciencedirect.com/science/article/pii/S2211467X21001322#sec1
Gronholt-Pedersen, J. (2020, January 2). Denmark sources record 47% of power from wind in 2019. Reuters. https://www.reuters.com/article/us-climate-change-denmark-windpower-idUSKBN1Z10KE
Günel, G. (2018). New Perspective on Energy. Polar.
Haider, S. A., Sajid, M., & Iqbal, S. (2021). Forecasting Hydrogen Production Potential in Islamabad from Solar Energy Using Water Electrolysis. International Journal of Hydrogen Energy, 46(2), 1671–1681. https://doi.org/10.1016/J.IJHYDENE.2020.10.059
High, M. M., & Smith, J. M. (2019). Introduction: The ethical constitution of energy dilemmas. Journal of the Royal Anthropological Institute, 9–28.
Ho, S. L., & Xie, M. (1998). The use of ARIMA models for reliability forecasting and analysis. Computers & Industrial Engineering, 35(1–2), 213–216. https://doi.org/10.1016/S0360-8352(98)00066-7
Hung, P.-Y. (2020). Placing Green Energy in the Sea: Offshore Wind Farms, Dolphins, Oysters, and the Territorial Politics of the Intertidal Zone in Taiwan. Annals of the American Association of Geographers, 110(1), 56–77. https://doi.org/10.1080/24694452.2019.1625749
IBM Cloud Education. (2020). Machine Learning. IBM. https://www.ibm.com/cloud/learn/machine-learning
iOcean 海洋保育網. (2022). Marine Conservation Geoinformation Platform (海洋保育地理資訊平台). IOcean 海洋保育網. https://iocean.oca.gov.tw/OCA_OceanConservation/GIS/MyGIS.aspx#
Johansen, K. (2021). Wind Energy in Denmark: A Short History [History]. IEEE Power and Energy Magazine, 19(3), 94–102. https://doi.org/10.1109/MPE.2021.3057973
Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255–260. https://doi.org/10.1126/science.aaa8415
Kao, J., & Blanchard, B. (2022, February 24). Taiwan Revises Up 2022 GDP Forecast on Strong Export Outlook. Reuters. https://www.reuters.com/world/asia-pacific/taiwan-revises-up-2022-gdp-forecast-2022-02-24/
Knauber, S. (2021, December 6). Taiwan: RWE reinforces strategic partnership with ACC. RWE (Rhenish-Westphalian Power Plant). https://www.rwe.com/en/press/rwe-renewables/2021-12-06-taiwan-rwe-reinforces-strategic-partnership-with-acc
Komusanac, I., Brindleym Guy, Fraile, D., & Ramirez, L. (2022). Wind energy in Europe: 2021 Statistics and the outlook for 2022-2026. https://windeurope.org/intelligence-platform/product/wind-energy-in-europe-2021-statistics-and-the-outlook-for-2022-2026/#:~:text=WindEurope%20expects%20Europe%20to%20install,farms%20over%20the%20same%20period.
Krohn, S., Morthorst, P.-E., & Awerbuch, S. (2009). The Economics of Wind Energy A report by the European Wind Energy Association. www.inextremis.be
Kusiak, A., & Zhang, Z. (2010). Short-Horizon Prediction of Wind Power: A Data-Driven Approach. IEEE Transactions on Energy Conversion, 25(4), 1112–1122. https://doi.org/10.1109/TEC.2010.2043436
Kutzkov, K. (2022, March 13). ARIMA vs Prophet vs LSTM for Time Series Prediction. Neptune. https://neptune.ai/blog/arima-vs-prophet-vs-lstm
Lee, C.-L. (2021, November 1). 16th UK-Taiwan Renewable Energy Roundtable Meeting Highlighting O&M and Floating Wind Innovative Technology. Bureau of Energy, Ministry of Economic Affairs. https://www.moea.gov.tw/Mns/english/news/News.aspx?kind=6&menu_id=176&news_id=97558#:~:text=As%20part%20of%20the%20efforts,of%205.6%20GW%20by%202025.
Liou, H. M. (2015). Comparing feed-in tariff incentives in Taiwan and Germany. Elsevier, Renewable and Sustainable Energy Reviews, 50, 1021–1034. https://www.sciencedirect.com/science/article/abs/pii/S1364032115004670
Lu, X., McElroy, M. B., & Kiviluoma, J. (2009). Global potential for wind-generated electricity. Proceedings of the National Academy of Sciences, 106(27), 10933–10938. https://doi.org/10.1073/pnas.0904101106
Mayes, F., & Fasching, E. (2020). Wind is a growing part of the electricity mix in Texas. U.S. Energy Information Administration (EIA). https://www.eia.gov/todayinenergy/detail.php?id=45476
Mazed, M. (2019). Stock Price Prediction Using Time Series Data [Brac University ]. http://dspace.bracu.ac.bd/xmlui/bitstream/handle/10361/12818/14201037_CSE.pdf?sequence=1&isAllowed=y
Menu, T. (2021). Denmark, A Case Study for a Climate-Neutral Europe. https://www.ifri.org/sites/default/files/atoms/files/menu_denmark_climate_neutral_europe_2021.pdf
Merino, Á. (2021, January 5). Wind Speed in the World. The World Order. https://elordenmundial.com/mapas-y-graficos/velocidad-viento-mundo/?fbclid=IwAR3nXELpAeQn6gFtKhKrYAzIlrr0U3rTiNsP3AjXTAuFQI7cj32f-_WKzOM
Mordor Intelligence Pvt. Ltd. (2022, March). Taiwan Wind Energy Market- Growth, Trends, Covid-19, Impact, and Forecasts (2022-2027). Mordor Intelligence. https://www.mordorintelligence.com/industry-reports/taiwan-wind-energy-market
Musial, W., & Butterfield, S. (2004, June 28). Future for Offshore Wind Energy in the United States. Energy Ocean 2004. https://www.nrel.gov/docs/fy04osti/36313.pdf
Musial, W., Spitsen, P., Beiter, P., Duffy, P., Marquis, M., Cooperman, A., Hammond, R., & Shields, M. (2022). Offshore Wind Market Reports: 2021 Edition. In Wind Energy Technologies Office. https://www.energy.gov/sites/default/files/2021-08/Offshore%20Wind%20Market%20Report%202021%20Edition_Final.pdf
Naughton, B. (2018). The Chinese Economy, Adaptation and Growth (Second Edition). Massachusetts Institute of Technology.
Nazir, M. S., Alturise, F., Alshmrany, S., Nazir, Hafiz. M. J., Bilal, M., Abdalla, A. N., Sanjeevikumar, P., & M. Ali, Z. (2020). Wind Generation Forecasting Methods and Proliferation of Artificial Neural Network: A Review of Five Years Research Trend. Sustainability, 12(9), 3778. https://doi.org/10.3390/su12093778
Ngerng, Y. L. R. (2020, December 9). Is Taiwan Doing Enough to Address Climate Change in The Hottest Summer Ever? Risk Society and Policy Research Center. https://rsprc.ntu.edu.tw/en/m01-2/climate-change/1514-1209-taiwandoingenough.html#:~:text=To%20be%20fair%2C%20Taiwan’s%20EPA,than%20Singapore%20and%20South%20Korea.
Our World in Data. (2021). Per capita electricity generation from wind, 2021. Our World in Data. https://ourworldindata.org/grapher/wind-electricity-per-capita?country=DEU~NLD~DNK~USA~TWN~CHN~MEX
Pakenham, B., Ermakova, A., & Mehmanparast, A. (2021). A Review of Life Extension Strategies for Offshore Wind Farms Using Techno-Economic Assessments. Energies, 14(7), 1936. https://doi.org/10.3390/en14071936
Phoumin, H., Herberg, M. E., Tsafos, N., & Weatherby, C. (2020). Powering Southeast Asia, Meeting the Region’s Electricity Needs.
Reuter, G. (2021, December 27). How sustainable is wind power? Deutsche Welle. https://www.dw.com/en/how-sustainable-is-wind-power/a-60268971#:~:text=Most%20environmentally%2Dfriendly%20energy,in%20the%20environmental%20balance%20sheet.
Steffen, W., Sanderson, A., Tyson, P., Jager, J., Matson, P., Moore III, B., Oldfield, F., Richardson, K., Schellnhuber, J., Turner II, B. L., & Wasson, R. (2004). Global Change and the Earth System: A Planet Under Pressure. Springer-Verlag.
Taipei Office in Belgium. (2014). The Offshore Wind Power Industry in Taiwan. https://www.flandersinvestmentandtrade.com/export/sites/trade/files/market_studies/905140103101359/905140103101359_1.pdf
Taipei Representative Office in the EU and Belgium. (2018). Trade and Investment Relations between Taiwan and the EU. https://www.roc-taiwan.org/uploads/sites/125/2015/09/20180326-Trade-and-Investment-Relations-between-Taiwan-and-the-EU.pdf
Trappey, A. J. C., Trappey, C. v., Lin, G. Y. P., & Chang, Y.-S. (2012). The analysis of renewable energy policies for the Taiwan Penghu island administrative region. Renewable and Sustainable Energy Reviews, 16(1), 958–965. https://doi.org/10.1016/j.rser.2011.09.016
Tsing, A. L. (2015). The Mushroom at the End of the World. Princeton University Press.
Vartholomaios, A., Karlos, S., Kouloumpris, E., & Tsoumakas, G. (2021). Short-Term Renewable Energy Forecasting in Greece Using Prophet Decomposition and Tree-Based Ensembles. In Database and Expert Systems Applications - DEXA 2021 Workshops (pp. 227–238). Springer. https://doi.org/10.1007/978-3-030-87101-7_22
Widmann, M. (2021, June 16). Taiwan´s Energy Security: Liquefied Natural Gas, Renewables, and the EU. The European Institute for Asian Studies. https://eias.org/publications/op-ed/taiwans-energy-security-liquefied-natural-gas-renewables-and-the-eu/#:~:text=In%202020%2C%20an%20overwhelming%2098,%25)%20and%20Russia%20(17%25).
Wind Energy Technologies Office. (2021). 2019 Wind Energy Data & Technology Trends. Office of Energy Efficiency & Renwable Energy. https://www.energy.gov/eere/wind/2019-wind-energy-data-technology-trends
World Meteorological Organization. Commission for Maritime Meteorology. (2021). The Beaufort Wind Scale 1805. National Weather Service. https://www.spc.noaa.gov/faq/tornado/beaufort.html
World Population Review. (2022). Greenhouse Gas Emissions by Country 2022. World Population Review. https://worldpopulationreview.com/country-rankings/greenhouse-gas-emissions-by-country
Wu, D. (2017). The Offshore Wind Market in Taiwan. https://www.flandersinvestmentandtrade.com/export/sites/trade/files/market_studies/The%20Offshore%20Wind%20market_Taiwan_2017.pdf
Zahid, H., Altamimi, A., Kazmi, S. A. A., & khan, Z. A. (2022). Multi-phase techno-economic framework for energy wheeling via generation capacity design of microgrids and virtual power plants. Energy Reports, 8, 5412–5429. https://doi.org/10.1016/j.egyr.2022.04.013
Zhong, B., & Xu, Z. (n.d.). 風光主將的後勤部隊 再生能源預測系統和智慧電網. Taipower.
政府資料開放平臺. (2022). Renewable energy - total annual investment in wind power industry (再生能源-風力發電產業年投資總額). 政府資料開放平臺. https://data.gov.tw/dataset/32583
蔡英聖. (2021, April 5). 台電實踐能源轉型，以 AI 確保再生能源的穩定供電，結合雲端機器學習平台和視覺化工具，以預防性維護為先導應用. IThome. https://www.ithome.com.tw/pr/143602
謝諺炆, 周芬儷, 張榮志, 盧源苹, 曹瀚顥, & 呂藝光. (2017). Research on Application of Numerical Weather Prediction in Wind Power Prediction (數值天氣預報應用在風力發電預測之研究). https://conf.cwb.gov.tw/media/cwb_past_conferences/106/6.%E6%B0%A3%E8%B1%A1%E8%B3%87%E8%A8%8A%E5%9C%A8%E7%B6%A0%E8%89%B2%E8%83%BD%E6%BA%90%E4%B9%8B%E6%87%89%E7%94%A8%E6%9C%8D%E5%8B%99/6_3_L-%E8%AC%9D%E7%82%86%E8%AB%BA_%E6%95%B8%E5%80%BC%E5%A4%A9%E6%B0%A3%E9%A0%90.pdf |
| Description: | 碩士
國立政治大學
應用經濟與社會發展英語碩士學位學程(IMES)
109266015 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0109266015 |
| Data Type: | thesis |
| DOI: | 10.6814/NCCU202201143 |
| Appears in Collections: | [應用經濟與社會發展英語碩士學位學程 (IMES)] 學位論文
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