カテゴリ: 論文誌(論文単位)グループ名: 【B】電力・エネルギー部門発行日: 2022/07/01タイトル(英語): Cost-Benefit Analysis using Probability Density Function for Lightning Protection of Offshore Wind Power Plants by Independent Lightning Towers著者名: 安田 陽（京都大学大学院経済学研究科），米津 大吾（関西大学システム理工学部），藤井 利昭（音羽電機工業（株）本社事業所）著者名(英語): Yoh Yasuda (Graduate School of Economics, Kyoto University), Daigo Yonetsu (Faculty of Engineering Science, Kansai University), Toshiaki Fujii (Lightning Technology Center, Otowa Electric, Co., Ltd.)キーワード: 洋上風力発電，洋上風車，雷リスク，リスクマネジメント，費用便益分析，不確実性（不確かさ） offshore wind power，offshore wind turbine，lightning risk，risk management，cost-benefit analysis，uncertainty要約(英語): Offshore wind power plants has gotten attention worldwide as one of key technology for future energy mix. Recent Japanese policy also promotes offshore wind power plants (OWPPS) on costal waters in the Sea of Japan. On the other hand, those areas are known by notorious winter lightning with upward lightning and large electric charge, that has caused catastrophic damages to onshore wind turbines in past. It is therefore needed stronger lightning risk management for offshore wind turbines than that for onshore. The authors proposed a lightning protection method using an independent lightning tower (ILT) and have stored experience by numerical calculations and small-scale model experiments. However, there still remain several uncertainties in the given data. This paper proposes a new method on CBA (cost-benefit analysis) regarding with the uncertainty. In the concrete, a probability density function, e.g. Gauss Function, is superimposed on quasi-quantitative data with several uncertainty given by experiment tests, which enable optimization of net benefit and objective and quantitative decision making for appropriate risk management even under uncertainty.本誌: 電気学会論文誌B（電力・エネルギー部門誌） Vol.142 No.7 （2022）本誌掲載ページ: 347-359 p原稿種別: 論文／日本語電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejpes/142/7/142_347/_article/-char/ja/
