iVOD / 159339

Field Value
IVOD_ID 159339
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/159339
日期 2025-03-19
影片種類 Clip
開始時間 2025-03-19T10:22:29+08:00
結束時間 2025-03-19T10:29:33+08:00
影片長度 00:07:04
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/8d8da86eec6b25b8fa89568c0d069699405788fab8fe149e8962b2f3400241f69616e932440b99205ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 蘇清泉
委員發言時間 10:22:29 - 10:29:33
會議時間 2025-03-19T09:00:00+08:00
會議名稱 「核子反應器設施管制法部分條文修正草案」修法公聽會(事由:「核子反應器設施管制法部分條文修正草案」修法公聽會)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 1.04346875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 1.07721875
transcript.pyannote[1].end 1.58346875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 2.05596875
transcript.pyannote[2].end 4.36784375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 5.71784375
transcript.pyannote[3].end 14.05409375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 15.06659375
transcript.pyannote[4].end 16.01159375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 16.99034375
transcript.pyannote[5].end 27.03096875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 27.85784375
transcript.pyannote[6].end 33.07221875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 33.17346875
transcript.pyannote[7].end 41.00346875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 42.30284375
transcript.pyannote[8].end 43.33221875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 43.92284375
transcript.pyannote[9].end 50.08221875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 50.90909375
transcript.pyannote[10].end 55.75221875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 56.07284375
transcript.pyannote[11].end 63.53159375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 63.93659375
transcript.pyannote[12].end 64.84784375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 65.57346875
transcript.pyannote[13].end 66.60284375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 67.17659375
transcript.pyannote[14].end 67.95284375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 68.42534375
transcript.pyannote[15].end 72.74534375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 73.35284375
transcript.pyannote[16].end 77.23409375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 78.04409375
transcript.pyannote[17].end 80.00159375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 80.11971875
transcript.pyannote[18].end 81.43596875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 81.57096875
transcript.pyannote[19].end 82.73534375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 83.32596875
transcript.pyannote[20].end 88.55721875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 88.84409375
transcript.pyannote[21].end 89.94096875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 90.70034375
transcript.pyannote[22].end 91.17284375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 91.74659375
transcript.pyannote[23].end 92.60721875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 92.87721875
transcript.pyannote[24].end 98.83409375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 99.39096875
transcript.pyannote[25].end 104.53784375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 105.24659375
transcript.pyannote[26].end 110.73096875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 111.57471875
transcript.pyannote[27].end 116.41784375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 116.45159375
transcript.pyannote[28].end 120.45096875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 120.68721875
transcript.pyannote[29].end 123.31971875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 124.60221875
transcript.pyannote[30].end 125.54721875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 126.39096875
transcript.pyannote[31].end 129.14159375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 129.68159375
transcript.pyannote[32].end 138.65909375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 139.62096875
transcript.pyannote[33].end 158.04846875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 158.52096875
transcript.pyannote[34].end 159.88784375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 159.90471875
transcript.pyannote[35].end 163.71846875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 164.74784375
transcript.pyannote[36].end 171.91971875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 172.42596875
transcript.pyannote[37].end 173.70846875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 174.40034375
transcript.pyannote[38].end 177.53909375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 177.84284375
transcript.pyannote[39].end 178.61909375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 179.29409375
transcript.pyannote[40].end 181.53846875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 182.26409375
transcript.pyannote[41].end 187.46159375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 188.42346875
transcript.pyannote[42].end 193.58721875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 194.44784375
transcript.pyannote[43].end 195.71346875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 195.93284375
transcript.pyannote[44].end 212.60534375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 213.31409375
transcript.pyannote[45].end 217.00971875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 217.70159375
transcript.pyannote[46].end 219.59159375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 220.36784375
transcript.pyannote[47].end 225.76784375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 227.03346875
transcript.pyannote[48].end 243.21659375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 244.22909375
transcript.pyannote[49].end 244.81971875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 245.49471875
transcript.pyannote[50].end 249.10596875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 249.81471875
transcript.pyannote[51].end 251.50221875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 252.21096875
transcript.pyannote[52].end 261.08721875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 261.69471875
transcript.pyannote[53].end 264.95159375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 265.67721875
transcript.pyannote[54].end 268.61346875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 269.22096875
transcript.pyannote[55].end 272.74784375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 273.70971875
transcript.pyannote[56].end 279.64971875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 280.03784375
transcript.pyannote[57].end 280.99971875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 282.06284375
transcript.pyannote[58].end 285.47159375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 285.85971875
transcript.pyannote[59].end 286.63596875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 287.34471875
transcript.pyannote[60].end 288.12096875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 289.35284375
transcript.pyannote[61].end 292.81221875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 293.40284375
transcript.pyannote[62].end 304.94534375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 304.96221875
transcript.pyannote[63].end 314.34471875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 314.68221875
transcript.pyannote[64].end 321.36471875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 322.61346875
transcript.pyannote[65].end 324.97596875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 325.71846875
transcript.pyannote[66].end 329.65034375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 330.17346875
transcript.pyannote[67].end 332.75534375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 333.36284375
transcript.pyannote[68].end 334.71284375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 334.98284375
transcript.pyannote[69].end 336.38346875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 336.92346875
transcript.pyannote[70].end 355.11471875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 355.67159375
transcript.pyannote[71].end 357.17346875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 357.49409375
transcript.pyannote[72].end 358.18596875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 358.37159375
transcript.pyannote[73].end 365.79659375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 367.63596875
transcript.pyannote[74].end 368.91846875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 369.34034375
transcript.pyannote[75].end 369.81284375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 370.38659375
transcript.pyannote[76].end 370.92659375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 371.38221875
transcript.pyannote[77].end 371.97284375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 372.22596875
transcript.pyannote[78].end 374.13284375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 374.25096875
transcript.pyannote[79].end 375.28034375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 375.44909375
transcript.pyannote[80].end 378.03096875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 379.38096875
transcript.pyannote[81].end 388.24034375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 388.69596875
transcript.pyannote[82].end 389.53971875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 390.40034375
transcript.pyannote[83].end 392.17221875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 393.03284375
transcript.pyannote[84].end 393.55596875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 394.01159375
transcript.pyannote[85].end 397.70721875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 398.16284375
transcript.pyannote[86].end 398.87159375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 399.78284375
transcript.pyannote[87].end 406.19534375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 406.75221875
transcript.pyannote[88].end 412.27034375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 412.65846875
transcript.pyannote[89].end 414.02534375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 415.52721875
transcript.pyannote[90].end 416.16846875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 416.84346875
transcript.pyannote[91].end 417.80534375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 417.94034375
transcript.pyannote[92].end 418.54784375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 418.56471875
transcript.pyannote[93].end 419.71221875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 420.06659375
transcript.pyannote[94].end 420.84284375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 421.02846875
transcript.pyannote[95].end 421.72034375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 423.44159375
transcript.pyannote[96].end 423.96471875
transcript.whisperx[0].start 0.009
transcript.whisperx[0].end 26.43
transcript.whisperx[0].text 我是屏東人我河山場我差不多去六七座我想立法委員去河山場實際去看沒有人比我還多次的那我們河 恆春半島四個鄉鎮今天來了我們劉史金恆春鎮鎮長那他也親自來那我們在那邊做了多次的民調
transcript.whisperx[1].start 28.178
transcript.whisperx[1].end 46.544
transcript.whisperx[1].text 贊成河山研議的都高達75%以上說好幾次喔然後他們鄉鎮長出來接受那個專訪也都持正面的態度我們河山廠兩部機組一年的發電量差不多157億度到160億度
transcript.whisperx[2].start 50.97
transcript.whisperx[2].end 76.932
transcript.whisperx[2].text 那每一度賣出來是3塊2左右那每一度的成本是0.8、0.9所以沒來沒去就退台電一年賺3、4百億了啊你給他關起來,你賣錢就發電然後啦,每一年跟立法院要錢,已經要了3000億電還是漲價漲4次,我就一直搞不懂
transcript.whisperx[3].start 78.263
transcript.whisperx[3].end 89.802
transcript.whisperx[3].text 為什麼一直要養這些再生業者然後他說成本越來越低現在一度還是四塊多五塊多六塊多不是越來越低
transcript.whisperx[4].start 91.808
transcript.whisperx[4].end 110.395
transcript.whisperx[4].text 馬英九8年再生能源的比例只有佔5%不到蔡英文8年我們再生能源的比例也是差不多8%所以再生能源怎麼弄 怎麼加就是有它的極限
transcript.whisperx[5].start 111.604
transcript.whisperx[5].end 137.436
transcript.whisperx[5].text 要到十幾%是不可能所以你的能源配比當然是核能發電是相當基礎電力以前三座核能電廠不很順嗎核三廠有發現過公安事件嗎每年的評比都是世界前五名那個小公安事件沒有核能本身的問題爐子沒有問題啦
transcript.whisperx[6].start 139.69
transcript.whisperx[6].end 162.961
transcript.whisperx[6].text 都是那些配電設備或颱風來我屏東人我又不在關心屏東 我不笑然後一天到晚用石化 最高八十幾%都是用石化清達火力發電廠 大陵火力發電廠等等等等我們屏東有夠衰啦 站不會保衰中南山脈的高度一直往下就是延伸到仿寮再往下
transcript.whisperx[7].start 164.827
transcript.whisperx[7].end 191.724
transcript.whisperx[7].text 整個所有的空屋都到太武、潮州、來義那邊就卡在那裡每天都是紙包一年365天將近300天是紙包所以我們那邊的人就要承受這些PM2.5、PM10、肺腺癌、心血管疾病、不孕症什麼都來了我們在那邊我就常常在想說要不要去圍大林發電廠帶鄉親去圍
transcript.whisperx[8].start 194.662
transcript.whisperx[8].end 216.828
transcript.whisperx[8].text 這是事實啊我們學者專家講什麼我們都尊重但是我要把事實給大家看川普總統一上台就說光電不要用什麼用石化用核能川普不就笑了我們這邊的人每一個學者專家都是第一等聰明的日本的核電廠一個一個又恢復為什麼他們配筆受不了嘛
transcript.whisperx[9].start 220.584
transcript.whisperx[9].end 234.174
transcript.whisperx[9].text 所以他們的海嘯之後,他們全部關掉,現在一家一家恢復了。那光電,我們的經濟部長突發奇想,說要去禮宋島種電,然後海底電纜送到八旦島,然後從恆春上來,然後進入河山廠的配電系統。我問河山廠廠長,我說這可行嗎?他說可行。
transcript.whisperx[10].start 244.261
transcript.whisperx[10].end 272.503
transcript.whisperx[10].text 但是,我們經濟部長說一坨電,不會超過五坨結果昨天、前天又改口啦所以那個電纜送不過來,因為巴士海峽最深的地方兩千多公尺所以那個海底電纜的困難度非常高那昨天就說,那不就用能源船載過來那在能源船載的成本就要五塊五一度所以喔,我不是說的啦,只是參考用
transcript.whisperx[11].start 274.333
transcript.whisperx[11].end 292.291
transcript.whisperx[11].text 從菲律賓禮送島種太陽能光電板已經有台灣的能源廠商跑去那邊做了要開始啦全世界光電板拉最長的是新加坡他在澳洲在PERS那邊博士那邊做光電
transcript.whisperx[12].start 293.479
transcript.whisperx[12].end 321.064
transcript.whisperx[12].text 那把海底電纜送到新加坡送了三千多公里這是全世界最誇張的那他的能源耗損一K40幾%那新加坡因為地小人稠所以他沒有辦法光電只好跑到澳洲大英國寫的國家所以這樣繞過來他們值不值得我不知道啦他們自己去算所以我在這邊跟大家報告我們希望
transcript.whisperx[13].start 322.659
transcript.whisperx[13].end 332.502
transcript.whisperx[13].text 我們的光電越來越多然後把整個人家說國破三合在那我們現在是國債三合破
transcript.whisperx[14].start 333.424
transcript.whisperx[14].end 356.881
transcript.whisperx[14].text 每一個光電廠都是用粉泥土那個土地將來要復原都是極度的困難所以我們看了都是整個環境破壞成這個樣子我們覺得很荒唐台灣還有這個能力去破壞山林整個延山公路要砍20萬棵樹然後要做光電板
transcript.whisperx[15].start 358.495
transcript.whisperx[15].end 365.721
transcript.whisperx[15].text 這個我們所有的環保的單位好像沒有人出來抗爭我又去抗爭三次所以我要跟大家報告事實跟理想是有差距台灣這個基礎能源要怎麼做那你燃氣十幾部機組等著要上來
transcript.whisperx[16].start 379.417
transcript.whisperx[16].end 399.865
transcript.whisperx[16].text 但是三接四接都還沒有完成四接還要等到2030年所以我們的基礎電力當然核能是最好而且最穩固等到打仗的時候在馬英九時代曾經曾經颱風兩個颱風來造成整個瓦斯船進不來台灣斷氣
transcript.whisperx[17].start 406.826
transcript.whisperx[17].end 421.177
transcript.whisperx[17].text 八天 我們的最大 現在是十一天所以跟大家報告 大家都要多方考量這個法案要不要修 或者一定要修大家共同來參加意見 以上 謝謝