iVOD / 153868

Field Value
IVOD_ID 153868
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/153868
日期 2024-06-12
會議資料.會議代碼 委員會-11-1-19-16
會議資料.會議代碼:str 第11屆第1會期經濟委員會第16次全體委員會議
會議資料.屆 11
會議資料.會期 1
會議資料.會次 16
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第1會期經濟委員會第16次全體委員會議
影片種類 Clip
開始時間 2024-06-12T12:02:47+08:00
結束時間 2024-06-12T12:10:20+08:00
影片長度 00:07:33
支援功能[0] ai-transcript
支援功能[1] gazette
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4f10fa8b3f7cd819a59f4cedd9abf37f0fec08313b105ec0f1306821ff1b0f818ce2492c85169a165ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 賴士葆
委員發言時間 12:02:47 - 12:10:20
會議時間 2024-06-12T09:00:00+08:00
會議名稱 立法院第11屆第1會期經濟委員會第16次全體委員會議(事由:邀請國家發展委員會主任委員、經濟部部長、國家科學及技術委員會首長、數位發展部首長、教育部首長就「為掌握生成式AI等關鍵技術帶來的產業革命機會,台灣要如何深化AI生態系及充實AI人才與產業AI化,促動台灣產業數位轉型與運用AI賦能升級,擴展產業發展,打造智慧未來」進行報告,並備質詢。【6月12日及6月13日兩天一次會】)
gazette.lineno 906
gazette.blocks[0][0] 賴委員士葆:(12時2分)謝謝主席以及各位先進。有請經濟部長郭部長。
gazette.blocks[1][0] 主席:再請郭部長。
gazette.blocks[2][0] 郭部長智輝:委員好。
gazette.blocks[3][0] 賴委員士葆:部長你好。你上臺之後不斷地說不缺電、不缺電,我現在給你看一張圖,這是台電的圖,備轉容量在過去已經有7天低於10%了,最近的6月9日,今天是6月12日,6月9日備轉容量率9.49%,備轉容量284.5萬瓩,部長,夏天還沒有到咧!前幾天我們梅雨季節,天氣很涼快,用電還少咧!你已經有7次低於10%,我就問你,你說不缺電,那為什麼你們對台塑的麥寮1號機還要延長1年呢?它是燃煤的,它把它改成燃氣體的,結果你們就是怕沒電,60萬瓩把它買下來,再延1年到明年底,你要不要回答一下?
gazette.blocks[4][0] 郭部長智輝:報告委員,低於10%大概就這麼一次啦!我們的意思是說,在10%左右,還可以容許幾個機組它如果有狀況的時候,這些備載的狀況是這樣子,所以應該不至於在這個情況之下會跳電。
gazette.blocks[5][0] 賴委員士葆:馬上到夏天了喔!夏天熱喔!現在都超過30度喔!來,我就納悶了,納了悶了!部長,聽好喔!核三廠的1號機,裝置容量有多少?你告訴我,台電應該知道,打pass一下。
gazette.blocks[6][0] 郭部長智輝:98萬瓩。
gazette.blocks[7][0] 賴委員士葆:98萬,我這裡的數字是95萬,將近100萬,這個東西我們法都給你改了,讓你可以申請,不要前面5年,結果你後來縮回去,你原來講核二、核三修法完畢以後就可以延役,大家覺得唉呀!你有企業家精神,說實話啊!結果24小時不到,吃一頓飯,然後被民進黨立委打幾個巴掌,縮回去了!郭部長,你失去我對你的期待,你失去我對你的尊敬,企業家有的是什麼?有的就是我照實,照業務上怎麼來,你企業做得這麼成功,結果部長,你還好意思說你希望能夠做滿4年,你知道有哪一個經濟部長做滿4年?你告訴我。
gazette.blocks[8][0] 郭部長智輝:我是回答說1個任期是4年。
gazette.blocks[9][0] 賴委員士葆:你查一查,那是跟院長一起的,院長沒有做過4年的,除了蘇貞昌第二次回鍋。過去從2000年以後的院長,有的1年多,賴清德2年左右,跟院長一起啦!你講這個話,說要做滿4年,有一點類似什麼?這句話沒有很好聽,但是我的感覺就是這樣,我的「fu」就是這樣,叫青蛙打哈欠─好大的口氣!你知道嗎?跟著院長走,院長沒有4年的,除了蘇貞昌是很奇怪的,剛好這樣讓他賺到,其他幾乎沒有4年的,有的1年,有的2年,跟著院長走,你怎麼說你要做4年?這代表你很不進入狀況耶!然後現在我們感覺到,你對SRF怎麼突然又發一個可以推薦函呢?你們可能又發給桃園,那3家可以推薦它進桃園觀音的桃科,為什麼你要發?我請教你,為什麼你要發?
gazette.blocks[10][0] 郭部長智輝:這部分我們不是主管單位,桃園才是主管單位。
gazette.blocks[11][0] 賴委員士葆:你不是主管你就不要發,你何必發呢?
gazette.blocks[12][0] 郭部長智輝:我們沒有發喔!
gazette.blocks[13][0] 賴委員士葆:你發了,怎麼沒有發?推薦函啊!不然它怎麼……
gazette.blocks[14][0] 郭部長智輝:我們只是它來訴願,然後透過訴願委員會把它退回去,是訴願委員會決定的……
gazette.blocks[15][0] 賴委員士葆:後來准了,又可以了。
gazette.blocks[16][0] 郭部長智輝:不是經濟部決定的。
gazette.blocks[17][0] 賴委員士葆:訴願委員會就是你經濟部底下的。
gazette.blocks[18][0] 郭部長智輝:沒有、沒有、沒有,報告委員,這個訴願委員會一共有11位委員。
gazette.blocks[19][0] 賴委員士葆:裡面都是經濟部的官員,大部分。
gazette.blocks[20][0] 郭部長智輝:沒有,經濟部的官員只有2位,其他9位是外面的學者跟專家。
gazette.blocks[21][0] 賴委員士葆:主要是你們主導。我跟你講,國民黨的立法委員有一個將軍,陳永康上將他推了兵推,他講了一個概念,不要再擔心老共打我們能夠撐多久之類的,重要的是一打仗,臺灣的電能不能撐2天48小時?醫療能不能撐48小時?我就是請問你,因為我剛剛去問了國安局長,他說你才有答案,能不能撐48小時?就是打仗的時候撐48小時,供電無虞,請你回答。
gazette.blocks[22][0] 郭部長智輝:這部分我不是專家,我沒有辦法回答。
gazette.blocks[23][0] 賴委員士葆:不是,你是專家,拜託!電是你管的,怎麼不是專家呢?
gazette.blocks[24][0] 郭部長智輝:打仗的時候……
gazette.blocks[25][0] 賴委員士葆:不是,打仗的時候,電是你管的啊!怎麼不是呢?
gazette.blocks[26][0] 郭部長智輝:打仗的時候,我想這個是由國家調度的,不是經濟部可以調度的。
gazette.blocks[27][0] 賴委員士葆:沒有、沒有,我剛才去問國安局局長,他說經濟部管的,要經濟部長回答,所以我來這裡問你。
gazette.blocks[28][0] 郭部長智輝:如果以電網的韌性,我們是可以的。
gazette.blocks[29][0] 賴委員士葆:48小時撐得住?
gazette.blocks[30][0] 郭部長智輝:是。
gazette.blocks[31][0] 賴委員士葆:撐得住?
gazette.blocks[32][0] 郭部長智輝:是。
gazette.blocks[33][0] 賴委員士葆:因為電很重要喔!電如果撐不住的話,你醫療就有問題,血漿就有問題,冷鏈就有問題。
gazette.blocks[34][0] 郭部長智輝:沒有問題。
gazette.blocks[35][0] 賴委員士葆:你參加過兵推沒有?兵推。
gazette.blocks[36][0] 郭部長智輝:沒有。
gazette.blocks[37][0] 賴委員士葆:有機會參加兵推,請你特別注意這一塊,現在大家都覺得說兩岸打仗怎麼樣,其實兩岸打仗,電最重要,電的韌性,電最重要,這是台電董事長告訴你的,我請你回去study一下,好好做功課啦!不要張大口就要做4年,如果你完全沒有自己的mindset,然後隨波逐流,這樣你是做不到4年啦!真的,我都覺得你「shaky」、「shaky」,好好加油吧!
gazette.blocks[38][0] 郭部長智輝:謝謝委員。
gazette.blocks[39][0] 主席:剛剛賴士葆委員講的是推薦文,你們回答的是訴願委員會的結果,所以雞同鴨講,還是要給賴士葆委員說明清楚。
gazette.blocks[39][1] 接下來請鍾佳濱委員做詢答,4分鐘,謝謝。
gazette.agenda.page_end 152
gazette.agenda.meet_id 委員會-11-1-19-16
gazette.agenda.speakers[0] 楊瓊瓔
gazette.agenda.speakers[1] 林岱樺
gazette.agenda.speakers[2] 陳亭妃
gazette.agenda.speakers[3] 邱議瑩
gazette.agenda.speakers[4] 呂玉玲
gazette.agenda.speakers[5] 張啓楷
gazette.agenda.speakers[6] 謝衣鳯
gazette.agenda.speakers[7] 鄭正鈐
gazette.agenda.speakers[8] 鄭天財Sra Kacaw
gazette.agenda.speakers[9] 張嘉郡
gazette.agenda.speakers[10] 邱志偉
gazette.agenda.speakers[11] 陳超明
gazette.agenda.speakers[12] 賴瑞隆
gazette.agenda.speakers[13] 賴士葆
gazette.agenda.speakers[14] 鍾佳濱
gazette.agenda.speakers[15] 陳培瑜
gazette.agenda.speakers[16] 林宜瑾
gazette.agenda.speakers[17] 蔡易餘
gazette.agenda.speakers[18] 羅智強
gazette.agenda.speakers[19] 葛如鈞
gazette.agenda.speakers[20] 莊瑞雄
gazette.agenda.speakers[21] 陳冠廷
gazette.agenda.page_start 83
gazette.agenda.meetingDate[0] 2024-06-12
gazette.agenda.gazette_id 1136201
gazette.agenda.agenda_lcidc_ids[0] 1136201_00003
gazette.agenda.meet_name 立法院第11屆第1會期經濟委員會第16次全體委員會議紀錄
gazette.agenda.content 邀請國家發展委員會主任委員、經濟部部長、國家科學及技術委員會首長、數位發展部首長、教 育部首長就「為掌握生成式 AI 等關鍵技術帶來的產業革命機會,台灣要如何深化 AI 生態系及充 實 AI 人才與產業 AI 化,促動台灣產業數位轉型與運用 AI 賦能升級,擴展產業發展,打造智慧 未來」進行報告,並備質詢
gazette.agenda.agenda_id 1136201_00002
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.06471875
transcript.pyannote[0].end 2.52846875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 7.75971875
transcript.pyannote[1].end 9.53159375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 9.81846875
transcript.pyannote[2].end 12.33284375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 12.94034375
transcript.pyannote[3].end 14.15534375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 20.90534375
transcript.pyannote[4].end 20.92221875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 20.92221875
transcript.pyannote[5].end 21.37784375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 21.37784375
transcript.pyannote[6].end 21.39471875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 21.39471875
transcript.pyannote[7].end 21.41159375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 21.90096875
transcript.pyannote[8].end 22.62659375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 23.35221875
transcript.pyannote[9].end 27.11534375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 27.31784375
transcript.pyannote[10].end 28.63409375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 29.78159375
transcript.pyannote[11].end 30.91221875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 31.36784375
transcript.pyannote[12].end 31.84034375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 32.90346875
transcript.pyannote[13].end 34.92846875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 36.16034375
transcript.pyannote[14].end 37.40909375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 39.07971875
transcript.pyannote[15].end 39.92346875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 41.17221875
transcript.pyannote[16].end 43.14659375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 44.24346875
transcript.pyannote[17].end 47.09534375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 47.28096875
transcript.pyannote[18].end 48.12471875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 48.83346875
transcript.pyannote[19].end 50.55471875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 50.70659375
transcript.pyannote[20].end 51.95534375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 54.01409375
transcript.pyannote[21].end 54.99284375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 55.17846875
transcript.pyannote[22].end 56.96721875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 57.69284375
transcript.pyannote[23].end 57.81096875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 57.94596875
transcript.pyannote[24].end 58.38471875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 58.94159375
transcript.pyannote[25].end 59.83596875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 60.03846875
transcript.pyannote[26].end 60.64596875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 62.48534375
transcript.pyannote[27].end 62.75534375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 63.24471875
transcript.pyannote[28].end 64.74659375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 65.37096875
transcript.pyannote[29].end 67.21034375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 67.53096875
transcript.pyannote[30].end 68.83034375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 69.58971875
transcript.pyannote[31].end 70.97346875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 71.71596875
transcript.pyannote[32].end 73.01534375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 74.09534375
transcript.pyannote[33].end 75.10784375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 76.81221875
transcript.pyannote[34].end 77.41971875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 78.12846875
transcript.pyannote[35].end 79.00596875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 79.51221875
transcript.pyannote[36].end 80.52471875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 81.65534375
transcript.pyannote[37].end 83.95034375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 84.20346875
transcript.pyannote[38].end 84.91221875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 85.99221875
transcript.pyannote[39].end 87.56159375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 88.30409375
transcript.pyannote[40].end 89.48534375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 90.16034375
transcript.pyannote[41].end 91.74659375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 92.13471875
transcript.pyannote[42].end 93.78846875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 94.42971875
transcript.pyannote[43].end 95.76284375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 96.57284375
transcript.pyannote[44].end 97.26471875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 97.92284375
transcript.pyannote[45].end 99.37409375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 100.21784375
transcript.pyannote[46].end 101.09534375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 103.55909375
transcript.pyannote[47].end 108.72284375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 108.90846875
transcript.pyannote[48].end 114.46034375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 114.78096875
transcript.pyannote[49].end 120.26534375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 120.99096875
transcript.pyannote[50].end 125.74971875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 126.61034375
transcript.pyannote[51].end 129.05721875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 128.02784375
transcript.pyannote[52].end 129.15846875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 129.64784375
transcript.pyannote[53].end 132.06096875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 132.39846875
transcript.pyannote[54].end 132.82034375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 133.46159375
transcript.pyannote[55].end 135.43596875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 135.77346875
transcript.pyannote[56].end 136.71846875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 136.88721875
transcript.pyannote[57].end 137.52846875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 138.67596875
transcript.pyannote[58].end 140.68409375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 141.22409375
transcript.pyannote[59].end 142.45596875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 142.70909375
transcript.pyannote[60].end 143.23221875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 143.95784375
transcript.pyannote[61].end 145.67909375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 146.23596875
transcript.pyannote[62].end 146.25284375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 146.25284375
transcript.pyannote[63].end 146.37096875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 146.37096875
transcript.pyannote[64].end 146.40471875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 146.40471875
transcript.pyannote[65].end 146.45534375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 146.45534375
transcript.pyannote[66].end 146.53971875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 146.53971875
transcript.pyannote[67].end 146.75909375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 146.75909375
transcript.pyannote[68].end 146.77596875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 146.77596875
transcript.pyannote[69].end 146.99534375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 146.99534375
transcript.pyannote[70].end 147.06284375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 147.06284375
transcript.pyannote[71].end 149.64471875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 147.11346875
transcript.pyannote[72].end 147.36659375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 149.86409375
transcript.pyannote[73].end 150.92721875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 151.93971875
transcript.pyannote[74].end 155.17971875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 155.61846875
transcript.pyannote[75].end 158.16659375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 158.68971875
transcript.pyannote[76].end 160.22534375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 160.47846875
transcript.pyannote[77].end 164.34284375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 165.65909375
transcript.pyannote[78].end 166.06409375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 166.78971875
transcript.pyannote[79].end 169.18596875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 169.62471875
transcript.pyannote[80].end 170.55284375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 170.95784375
transcript.pyannote[81].end 173.38784375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 173.48909375
transcript.pyannote[82].end 175.90221875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 176.07096875
transcript.pyannote[83].end 177.99471875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 178.50096875
transcript.pyannote[84].end 179.39534375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 180.52596875
transcript.pyannote[85].end 181.03221875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 181.87596875
transcript.pyannote[86].end 186.46596875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 186.83721875
transcript.pyannote[87].end 187.66409375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 188.11971875
transcript.pyannote[88].end 188.79471875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 189.35159375
transcript.pyannote[89].end 190.88721875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 191.14034375
transcript.pyannote[90].end 193.72221875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 194.53221875
transcript.pyannote[91].end 195.40971875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 196.65846875
transcript.pyannote[92].end 199.64534375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 200.62409375
transcript.pyannote[93].end 203.35784375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 204.62346875
transcript.pyannote[94].end 207.67784375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 209.36534375
transcript.pyannote[95].end 211.93034375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 212.36909375
transcript.pyannote[96].end 215.49096875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 216.48659375
transcript.pyannote[97].end 218.57909375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 218.98409375
transcript.pyannote[98].end 221.81909375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 222.69659375
transcript.pyannote[99].end 224.13096875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 224.87346875
transcript.pyannote[100].end 228.16409375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 228.36659375
transcript.pyannote[101].end 230.93159375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 231.08346875
transcript.pyannote[102].end 231.97784375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 232.26471875
transcript.pyannote[103].end 232.51784375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 233.42909375
transcript.pyannote[104].end 235.18409375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 235.85909375
transcript.pyannote[105].end 236.87159375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 238.96409375
transcript.pyannote[106].end 239.47034375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 240.76971875
transcript.pyannote[107].end 243.16596875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 243.90846875
transcript.pyannote[108].end 245.86596875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 246.03471875
transcript.pyannote[109].end 247.08096875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 248.02596875
transcript.pyannote[110].end 250.38846875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 251.67096875
transcript.pyannote[111].end 253.84784375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 254.16846875
transcript.pyannote[112].end 255.82221875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 256.31159375
transcript.pyannote[113].end 257.32409375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 257.39159375
transcript.pyannote[114].end 258.53909375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 259.53471875
transcript.pyannote[115].end 260.10846875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 261.66096875
transcript.pyannote[116].end 263.17971875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 263.58471875
transcript.pyannote[117].end 264.69846875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 265.82909375
transcript.pyannote[118].end 268.52909375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 268.71471875
transcript.pyannote[119].end 270.03096875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 270.53721875
transcript.pyannote[120].end 271.75221875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 272.44409375
transcript.pyannote[121].end 273.57471875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 274.03034375
transcript.pyannote[122].end 274.67159375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 275.54909375
transcript.pyannote[123].end 276.49409375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 276.67971875
transcript.pyannote[124].end 277.20284375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 277.86096875
transcript.pyannote[125].end 278.46846875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 279.24471875
transcript.pyannote[126].end 282.88971875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 282.88971875
transcript.pyannote[127].end 283.37909375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 283.41284375
transcript.pyannote[128].end 283.42971875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 283.42971875
transcript.pyannote[129].end 288.00284375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 283.48034375
transcript.pyannote[130].end 284.84721875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 284.98221875
transcript.pyannote[131].end 285.97784375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 286.92284375
transcript.pyannote[132].end 287.49659375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 288.67784375
transcript.pyannote[133].end 291.61409375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 290.51721875
transcript.pyannote[134].end 291.24284375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 291.91784375
transcript.pyannote[135].end 293.75721875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 294.14534375
transcript.pyannote[136].end 298.51596875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 298.85346875
transcript.pyannote[137].end 306.24471875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 303.81471875
transcript.pyannote[138].end 305.02971875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 306.75096875
transcript.pyannote[139].end 308.21909375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 306.97034375
transcript.pyannote[140].end 307.18971875
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 308.21909375
transcript.pyannote[141].end 312.91034375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 308.30346875
transcript.pyannote[142].end 308.59034375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 312.96096875
transcript.pyannote[143].end 315.17159375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 315.20534375
transcript.pyannote[144].end 322.14096875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 322.27596875
transcript.pyannote[145].end 323.65971875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 324.33471875
transcript.pyannote[146].end 324.35159375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 324.35159375
transcript.pyannote[147].end 325.00971875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 326.52846875
transcript.pyannote[148].end 327.67596875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 327.91221875
transcript.pyannote[149].end 329.70096875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 329.97096875
transcript.pyannote[150].end 331.33784375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 333.49784375
transcript.pyannote[151].end 334.10534375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 335.60721875
transcript.pyannote[152].end 336.31596875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 337.12596875
transcript.pyannote[153].end 338.15534375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 339.18471875
transcript.pyannote[154].end 342.76221875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 343.31909375
transcript.pyannote[155].end 345.71534375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 346.03596875
transcript.pyannote[156].end 348.63471875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 349.42784375
transcript.pyannote[157].end 351.68909375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 353.00534375
transcript.pyannote[158].end 355.65471875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 355.85721875
transcript.pyannote[159].end 357.20721875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 357.37596875
transcript.pyannote[160].end 358.99596875
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 359.13096875
transcript.pyannote[161].end 360.22784375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 361.40909375
transcript.pyannote[162].end 361.89846875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 363.50159375
transcript.pyannote[163].end 365.96534375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 365.12159375
transcript.pyannote[164].end 368.02409375
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 368.02409375
transcript.pyannote[165].end 376.41096875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 369.13784375
transcript.pyannote[166].end 371.38221875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 374.28471875
transcript.pyannote[167].end 375.49971875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 376.71471875
transcript.pyannote[168].end 379.98846875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 380.46096875
transcript.pyannote[169].end 382.90784375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 381.84471875
transcript.pyannote[170].end 386.04659375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 386.70471875
transcript.pyannote[171].end 390.53534375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 390.77159375
transcript.pyannote[172].end 397.13346875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 394.93971875
transcript.pyannote[173].end 395.49659375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 397.45409375
transcript.pyannote[174].end 398.16284375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 399.10784375
transcript.pyannote[175].end 400.30596875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 401.20034375
transcript.pyannote[176].end 401.87534375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 402.87096875
transcript.pyannote[177].end 403.19159375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 403.51221875
transcript.pyannote[178].end 403.79909375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 404.99721875
transcript.pyannote[179].end 407.91659375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 408.27096875
transcript.pyannote[180].end 411.78096875
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 412.06784375
transcript.pyannote[181].end 413.31659375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 413.80596875
transcript.pyannote[182].end 415.42596875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 415.84784375
transcript.pyannote[183].end 416.11784375
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 416.77596875
transcript.pyannote[184].end 419.34096875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 419.59409375
transcript.pyannote[185].end 421.04534375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 421.70346875
transcript.pyannote[186].end 422.98596875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 423.44159375
transcript.pyannote[187].end 425.39909375
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 425.51721875
transcript.pyannote[188].end 427.77846875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 427.82909375
transcript.pyannote[189].end 428.35221875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 428.65596875
transcript.pyannote[190].end 429.19596875
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 429.53346875
transcript.pyannote[191].end 431.99721875
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 432.58784375
transcript.pyannote[192].end 434.46096875
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 434.93346875
transcript.pyannote[193].end 436.21596875
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 436.40159375
transcript.pyannote[194].end 437.56596875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 438.25784375
transcript.pyannote[195].end 438.57846875
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 438.76409375
transcript.pyannote[196].end 439.64159375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 440.14784375
transcript.pyannote[197].end 441.41346875
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 440.18159375
transcript.pyannote[198].end 440.87346875
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 442.37534375
transcript.pyannote[199].end 443.82659375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 444.18096875
transcript.pyannote[200].end 445.19346875
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 445.27784375
transcript.pyannote[201].end 447.80909375
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 448.07909375
transcript.pyannote[202].end 452.95596875
transcript.whisperx[0].start 0.069
transcript.whisperx[0].end 2.091
transcript.whisperx[0].text 你上台之後不斷地說不缺電不缺電
transcript.whisperx[1].start 29.824
transcript.whisperx[1].end 49.232
transcript.whisperx[1].text 我現在給你看一張圖這是台電的圖備轉容量在過去已經有7天低於10%了最近的6月9號今天是6月12號6月9號備轉容量9.49備轉容量284.5
transcript.whisperx[2].start 59.128
transcript.whisperx[2].end 74.592
transcript.whisperx[2].text 千萬萬千萬部長夏天還沒有到勒前幾天我們梅雨季節天氣很涼快有點來少勒你已經有7次低於10%我就問你你說不確定那為什麼你們對台塑的麥寮一號機還要給它延長一年勒
transcript.whisperx[3].start 88.342
transcript.whisperx[3].end 101.049
transcript.whisperx[3].text 他是藍美的他把他蓋成藍氣體的結果你們就是怕沒點60萬千萬趕快賣掉再延一年到明年底你要不要回答一下報告委員這個低於10%大概就是這麼一次了
transcript.whisperx[4].start 109.025
transcript.whisperx[4].end 131.262
transcript.whisperx[4].text 那我們的意思就是說這個在10%左右這個因為還可以容許幾個機組他如果有狀況的時候這個是這個這些備載的狀況這樣所以應該不至於在這個情況之下會跳馬上夏天喔夏天熱喔現在超過30度喔來我就納悶了納得悶了部長聽好喔
transcript.whisperx[5].start 138.717
transcript.whisperx[5].end 149.244
transcript.whisperx[5].text 河山廠的1號機裝置容量有多少?你告訴我台電應該知道,我打發試一下98萬千萬我這裡數字95萬,將近100萬這個東西我們法都給你改了讓你可以申請不要前面5年結果你後來縮起來你原來講河河山修完完畢以後就可以
transcript.whisperx[6].start 166.832
transcript.whisperx[6].end 177.797
transcript.whisperx[6].text 聯誼大家覺得說AI你有企業家的精神說實話結果24小時不到吃一頓飯然後被這個民進黨立委打幾個巴掌
transcript.whisperx[7].start 180.578
transcript.whisperx[7].end 202.803
transcript.whisperx[7].text 國務部長你失去我對你的期待你失去我對你的尊敬企業家有的是什麼有的就是我照事照業務上怎麼來你企業做這麼成功結果部長你還好意思說你希望能夠做滿四年你知道哪一個經濟部長做滿四年你告訴我我是回答說一個任期是四年
transcript.whisperx[8].start 209.417
transcript.whisperx[8].end 236.523
transcript.whisperx[8].text 你查一查那跟院長一起來院長沒有做過四年的除了蘇貞昌第二次會過過去從2000年以後的院長有的一年多賴清德兩年左右跟院長一起來這個啊你講這個話要做滿四年有一點類似這句話沒有很老聽啦但是我的感覺就這樣我的feel就這樣叫青蛙打哈欠好大的口氣
transcript.whisperx[9].start 238.988
transcript.whisperx[9].end 264.565
transcript.whisperx[9].text 你知道嗎跟著院長走啊院長沒有四年的除了蘇貞昌是很奇怪的剛好這樣讓他賺到幾乎沒有四年的有的一年有的兩年跟著院長走你說你要做四年這代表你也不進入狀況然後你現在我們感覺到是SRF你怎麼突然又發一個可以推薦函呢
transcript.whisperx[10].start 265.885
transcript.whisperx[10].end 284.096
transcript.whisperx[10].text 你們可能又發給桃園那三家可以推進它進桃園關營呢桃科呢為什麼你要發我請教你為什麼你要發我這一部分我們不是主管單位桃園才是主管單位你還被罰了
transcript.whisperx[11].start 288.715
transcript.whisperx[11].end 314.659
transcript.whisperx[11].text 我們沒有發吧你發了怎麼沒有發我沒有發喔我們只是他來這個場來溯源然後我們透過溯源委員會然後把它退回去這樣它是溯源委員會決定的不是經濟部決定的溯源委員就是你經濟部的底下的沒有沒有沒有那個報告委員這個溯源委員會一共有11位委員底面的都是經濟部的官員
transcript.whisperx[12].start 315.267
transcript.whisperx[12].end 330.561
transcript.whisperx[12].text 沒有,經濟部的官員只有兩位其他的九位是外面的學者跟專家主要是你們主導了我跟你講我們的立法委員國民黨的立法委員有一個將軍陳永康上將他推了兵推他講了一個概念
transcript.whisperx[13].start 339.215
transcript.whisperx[13].end 359.809
transcript.whisperx[13].text 不要再擔心老共打我們能夠撐多久啊什麼之類的重要是一打仗台灣能不能撐電能不能撐兩天48小時醫療能不能撐48小時我就是請問你我發現國安局長問了他說你才有答案能不能撐48小時就打仗的時候撐48小時供電無虞請你回答
transcript.whisperx[14].start 363.687
transcript.whisperx[14].end 370.594
transcript.whisperx[14].text 這一部分我不是專家我沒有辦法回答打仗的時候我想這個是由國家調度的不是經濟部可以調度的我剛才去國安局局長問他說經濟部管的要經濟部長回答所以我來這裡問你那這個如果以電網的韌性我們是可以的
transcript.whisperx[15].start 387.829
transcript.whisperx[15].end 415.92
transcript.whisperx[15].text 兩48小時撐得住是撐得住是因為電很重要喔是電如果撐不住的話你醫療就有問題血漿就有問題冷鏈就有問題沒有問題你參加過兵推沒有兵推沒有沒有有機會參加兵推請你特別注意注意這一關現在大家都覺得說兩岸打仗怎麼樣其實兩岸打仗電最重要電的韌性電最重要我
transcript.whisperx[16].start 417.566
transcript.whisperx[16].end 440.359
transcript.whisperx[16].text 這是台電董事館告訴你的啦我請你回去study一下好好做功課啦不要張大口下做死年如果你這樣子完全沒有自己的一個mindset然後隨波逐流這樣你是做不死的啦真的我都覺得你shake it shake it好好加油吧謝謝委員
transcript.whisperx[17].start 443.022
transcript.whisperx[17].end 452.184
transcript.whisperx[17].text 剛剛賴司保委員講的是推薦文你們回答的是蘇院委員會的結果所以雞同鴨講還是要給賴司保委員說明清楚謝謝