iVOD / 168602

Field Value
IVOD_ID 168602
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168602
日期 2026-04-16
會議資料.會議代碼 委員會-11-5-19-9
會議資料.會議代碼:str 第11屆第5會期經濟委員會第9次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 9
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5會期經濟委員會第9次全體委員會議
影片種類 Clip
開始時間 2026-04-16T09:15:16+08:00
結束時間 2026-04-16T09:24:16+08:00
影片長度 00:09:00
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5c6c6faabdac9c287d189d75ba07b9a924d82c1ebe87fe24e9e0844c744c9d511429c243362692245ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 陳亭妃
委員發言時間 09:15:16 - 09:24:16
會議時間 2026-04-16T09:00:00+08:00
會議名稱 立法院第11屆第5會期經濟委員會第9次全體委員會議(事由:邀請經濟部部長率台灣電力股份有限公司董事長、國家發展委員會主任委員及農業部部長就「我國再生能源及電網韌性之發展現況、建置進度、容量目標、推動困境、法規障礙及相關改善對策」進行報告,並備質詢。 【4月15日及4月16日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.46971875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 0.72284375
transcript.pyannote[1].end 1.48221875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 1.66784375
transcript.pyannote[2].end 2.14034375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 5.26221875
transcript.pyannote[3].end 5.32971875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 5.32971875
transcript.pyannote[4].end 5.34659375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 10.10534375
transcript.pyannote[5].end 10.81409375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 11.32034375
transcript.pyannote[6].end 16.88909375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 17.34471875
transcript.pyannote[7].end 21.15846875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 21.37784375
transcript.pyannote[8].end 23.52096875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 23.75721875
transcript.pyannote[9].end 24.92159375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 25.41096875
transcript.pyannote[10].end 50.80784375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 51.49971875
transcript.pyannote[11].end 53.32221875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 53.64284375
transcript.pyannote[12].end 57.57471875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 58.97534375
transcript.pyannote[13].end 61.06784375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 59.07659375
transcript.pyannote[14].end 59.46471875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 61.21971875
transcript.pyannote[15].end 64.29096875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 63.66659375
transcript.pyannote[16].end 71.26034375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 71.73284375
transcript.pyannote[17].end 75.63096875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 76.13721875
transcript.pyannote[18].end 79.03971875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 78.76971875
transcript.pyannote[19].end 80.74409375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 80.89596875
transcript.pyannote[20].end 82.00971875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 82.70159375
transcript.pyannote[21].end 84.77721875
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 84.94596875
transcript.pyannote[22].end 92.53971875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 92.86034375
transcript.pyannote[23].end 105.49971875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 105.49971875
transcript.pyannote[24].end 107.55846875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 105.78659375
transcript.pyannote[25].end 106.44471875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 107.67659375
transcript.pyannote[26].end 111.40596875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 112.14846875
transcript.pyannote[27].end 113.12721875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 112.50284375
transcript.pyannote[28].end 127.70721875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 128.02784375
transcript.pyannote[29].end 132.80346875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 133.46159375
transcript.pyannote[30].end 134.03534375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 134.54159375
transcript.pyannote[31].end 136.63409375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 137.07284375
transcript.pyannote[32].end 138.38909375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 139.63784375
transcript.pyannote[33].end 139.90784375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 140.26221875
transcript.pyannote[34].end 142.48971875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 142.94534375
transcript.pyannote[35].end 145.18971875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 144.22784375
transcript.pyannote[36].end 145.00409375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 145.34159375
transcript.pyannote[37].end 145.52721875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 145.78034375
transcript.pyannote[38].end 148.02471875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 148.31159375
transcript.pyannote[39].end 149.17221875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 149.79659375
transcript.pyannote[40].end 173.50596875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 174.04596875
transcript.pyannote[41].end 177.72471875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 178.11284375
transcript.pyannote[42].end 181.38659375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 181.69034375
transcript.pyannote[43].end 185.31846875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 186.09471875
transcript.pyannote[44].end 191.34284375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 191.76471875
transcript.pyannote[45].end 193.51971875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 193.97534375
transcript.pyannote[46].end 195.27471875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 195.64596875
transcript.pyannote[47].end 196.42221875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 196.97909375
transcript.pyannote[48].end 197.78909375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 198.46409375
transcript.pyannote[49].end 199.94909375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 200.10096875
transcript.pyannote[50].end 201.19784375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 201.51846875
transcript.pyannote[51].end 201.90659375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 202.98659375
transcript.pyannote[52].end 207.08721875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 207.34034375
transcript.pyannote[53].end 217.34721875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 217.00971875
transcript.pyannote[54].end 218.27534375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 218.27534375
transcript.pyannote[55].end 218.39346875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 218.68034375
transcript.pyannote[56].end 219.49034375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 219.86159375
transcript.pyannote[57].end 226.49346875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 227.01659375
transcript.pyannote[58].end 227.65784375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 227.21909375
transcript.pyannote[59].end 235.96034375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 236.83784375
transcript.pyannote[60].end 237.96846875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 236.92221875
transcript.pyannote[61].end 237.66471875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 237.96846875
transcript.pyannote[62].end 253.91534375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 238.00221875
transcript.pyannote[63].end 238.64346875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 253.91534375
transcript.pyannote[64].end 260.22659375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 260.69909375
transcript.pyannote[65].end 264.56346875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 264.56346875
transcript.pyannote[66].end 265.50846875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 265.00221875
transcript.pyannote[67].end 268.19159375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 269.20409375
transcript.pyannote[68].end 271.88721875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 272.30909375
transcript.pyannote[69].end 273.65909375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 274.43534375
transcript.pyannote[70].end 275.09346875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 275.38034375
transcript.pyannote[71].end 282.67034375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 283.02471875
transcript.pyannote[72].end 284.88096875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 285.70784375
transcript.pyannote[73].end 287.85096875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 288.28971875
transcript.pyannote[74].end 289.09971875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 290.39909375
transcript.pyannote[75].end 298.31346875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 298.61721875
transcript.pyannote[76].end 302.24534375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 303.61221875
transcript.pyannote[77].end 305.41784375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 306.19409375
transcript.pyannote[78].end 308.03346875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 308.16846875
transcript.pyannote[79].end 309.50159375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 309.68721875
transcript.pyannote[80].end 310.53096875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 310.05846875
transcript.pyannote[81].end 314.71596875
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 315.42471875
transcript.pyannote[82].end 322.90034375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 323.15346875
transcript.pyannote[83].end 339.72471875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 339.72471875
transcript.pyannote[84].end 339.79221875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 339.99471875
transcript.pyannote[85].end 340.02846875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 340.02846875
transcript.pyannote[86].end 341.76659375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 341.93534375
transcript.pyannote[87].end 345.88409375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 346.32284375
transcript.pyannote[88].end 349.07346875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 350.18721875
transcript.pyannote[89].end 350.47409375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 350.72721875
transcript.pyannote[90].end 351.67221875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 351.80721875
transcript.pyannote[91].end 353.73096875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 353.96721875
transcript.pyannote[92].end 358.10159375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 359.08034375
transcript.pyannote[93].end 360.10971875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 361.56096875
transcript.pyannote[94].end 362.64096875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 363.18096875
transcript.pyannote[95].end 365.66159375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 365.96534375
transcript.pyannote[96].end 381.37221875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 381.77721875
transcript.pyannote[97].end 385.81034375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 385.86096875
transcript.pyannote[98].end 387.44721875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 387.58221875
transcript.pyannote[99].end 394.92284375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 395.02409375
transcript.pyannote[100].end 405.08159375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 404.37284375
transcript.pyannote[101].end 407.83221875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 407.83221875
transcript.pyannote[102].end 409.09784375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 408.30471875
transcript.pyannote[103].end 428.18346875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 415.57784375
transcript.pyannote[104].end 415.81409375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 428.99346875
transcript.pyannote[105].end 431.59221875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 431.96346875
transcript.pyannote[106].end 445.39596875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 445.81784375
transcript.pyannote[107].end 448.43346875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 448.66971875
transcript.pyannote[108].end 451.82534375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 451.82534375
transcript.pyannote[109].end 458.44034375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 459.53721875
transcript.pyannote[110].end 462.10221875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 462.40596875
transcript.pyannote[111].end 465.79784375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 465.94971875
transcript.pyannote[112].end 467.02971875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 467.21534375
transcript.pyannote[113].end 470.74221875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 471.04596875
transcript.pyannote[114].end 472.71659375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 472.73346875
transcript.pyannote[115].end 473.83034375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 474.18471875
transcript.pyannote[116].end 480.83346875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 479.85471875
transcript.pyannote[117].end 481.03596875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 481.06971875
transcript.pyannote[118].end 482.65596875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 483.56721875
transcript.pyannote[119].end 487.87034375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 485.40659375
transcript.pyannote[120].end 485.59221875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 488.35971875
transcript.pyannote[121].end 497.06721875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 498.36659375
transcript.pyannote[122].end 500.30721875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 500.57721875
transcript.pyannote[123].end 502.16346875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 502.41659375
transcript.pyannote[124].end 503.22659375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 503.95221875
transcript.pyannote[125].end 507.32721875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 507.59721875
transcript.pyannote[126].end 525.95721875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 525.95721875
transcript.pyannote[127].end 537.53346875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 536.21721875
transcript.pyannote[128].end 536.65596875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 537.53346875
transcript.pyannote[129].end 537.82034375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 538.36034375
transcript.pyannote[130].end 539.64284375
transcript.whisperx[0].start 13
transcript.whisperx[0].end 24.709
transcript.whisperx[0].text 我想我們現在在整個電纜地下化台南市的部分過去可能大家都不會想到說台南整個電纜是那麼的脆弱
transcript.whisperx[1].start 25.55
transcript.whisperx[1].end 38.843
transcript.whisperx[1].text 所以他變成這一次丹納斯已經很清楚了我們沒有重點把他做一個強韌的動作是不行的所以我們從115年到116年我們整個電纜地下化的辦理路段有安南區 南化 關廟 將軍 仁德 善化 七谷 北門 雪甲 鹽水
transcript.whisperx[2].start 51.55
transcript.whisperx[2].end 57.315
transcript.whisperx[2].text 那麼在這個部分我們要了解的是那117年後呢117年後呢117年還是會持續編所謂持續的重點在哪裡因為目前我們要了解是預算會怎麼編預計怎麼編我們這個是有特別預算啊好那沒有特別預算呢
transcript.whisperx[3].start 76.475
transcript.whisperx[3].end 81.46
transcript.whisperx[3].text 就會用年度的公務預算來編好 那年度的公務預算我們要怎麼編
transcript.whisperx[4].start 83.495
transcript.whisperx[4].end 111.11
transcript.whisperx[4].text 跟委員報告台電的年度預算大概都是持續在編列尤其像配電的預算以前一年大概200多億現在已經編到400多億整個全台灣大概有這樣的一個量所以我們整體的投資在這方面確實是持續在增加好 那持續在增加那麼多人在分那你的重點會在哪裡
transcript.whisperx[5].start 112.579
transcript.whisperx[5].end 138.164
transcript.whisperx[5].text 每個縣市都在爭取啊可是重點還是以當時候丹納斯受損最嚴重的地區為優先像這一次我們的特別預算很清楚嘛是因為丹納斯的特別預算嘛所以他有重點大概整個區塊在台南所分的比例會比較高一點點可是在你們的本預算之後呢我們會分到多少
transcript.whisperx[6].start 140.611
transcript.whisperx[6].end 169.09
transcript.whisperx[6].text 這個部分當然就是回歸到正常的這個預算的原則部長這就是我要問的重點啊你回到整個常態化之後大家都在分這筆預算那我們到底什麼時候才能把我們的電纜地下化台南這一次因為丹納斯其實當時候整個倒了之後我們緊急搶休我們謝謝台電的員工台電的同仁
transcript.whisperx[7].start 169.77
transcript.whisperx[7].end 185.112
transcript.whisperx[7].text 真的是不分日夜然後全國調動可是那是因為我們遇到了緊急狀況那也因為這個緊急狀況我們有特別預算那如果在117年之後沒有了
transcript.whisperx[8].start 186.124
transcript.whisperx[8].end 200.618
transcript.whisperx[8].text 我們到底要找誰來求助我們當時候對台電是他緊急恢復可是他的強韌度不夠如果再遇一次 我跟你講黑路比較長所以這個部分怎麼辦跟委員報告
transcript.whisperx[9].start 203.015
transcript.whisperx[9].end 226.451
transcript.whisperx[9].text 配電級的這個電網的強韌不是只有地下化其實還有架空線路的一些強韌的計畫包括我要在一級電感一級電感跟我們目前的西級電感的那個抗風能力其實就拉了一個很高的我絕對相信我們韌性我們的強化有很多方式但是沒有預算是做不了的
transcript.whisperx[10].start 227.091
transcript.whisperx[10].end 235.737
transcript.whisperx[10].text 所以我要問的是117年度以後如果沒有特別預算那請問我們台南還可以分多少
transcript.whisperx[11].start 237.192
transcript.whisperx[11].end 260.066
transcript.whisperx[11].text 我們會被關注多少跟委員報告就是剛剛講的那一部分的強韌我們會透過剛剛年度的預算去強韌包括像剛剛講一級電感的強化還有就是架空線路的支線的強化等等來讓颱風來的時候可以減少這災害的發生所以我們台南還是會被擺為重點因為我們當然是受害太嚴重了
transcript.whisperx[12].start 262.026
transcript.whisperx[12].end 288.874
transcript.whisperx[12].text 我們還會擺為重點嗎 我只是問這一句話未來可能不是我在這裡監督這個預算是回到地方政府當中我們在期待因為那個位階角度不一樣我在這裡我可以用立委的身份來跟您請教未來的預算可是如果回到地方政府我們只是期待我們的
transcript.whisperx[13].start 290.452
transcript.whisperx[13].end 313.487
transcript.whisperx[13].text 台電經濟部可以把眼光多關注我們一點因為我們等於跟各縣市在分這些預算那是不一樣的所以我在這裡要特別拜託在117年後沒有特別預算之後不要忘了台南我們受害非常嚴重在丹納斯的受害極為嚴重
transcript.whisperx[14].start 315.492
transcript.whisperx[14].end 339.286
transcript.whisperx[14].text 是 各位報告因為我們已經認知到現在的新型態的在氣候變遷之後新型態的颱風很多的機率都會是從南部直接透過台南海峽上來所以在台南高雄以及嘉義等等的這些沿海地區的電網的強韌會是在未來這幾年台電重點中的重點
transcript.whisperx[15].start 340.326
transcript.whisperx[15].end 348.311
transcript.whisperx[15].text 這一句話很重要 拜託 因為每個人在分啊 每個人在搶啊我們很擔心到時候 我們又被忘了不會 不會喔來 那我再問一下說 我們現在因為工程很多 我們的人力不足我們到底要怎麼辦
transcript.whisperx[16].start 361.598
transcript.whisperx[16].end 380.854
transcript.whisperx[16].text 好 跟委員報告現在就是因為少子化的關係所以台電在自己的人力的部分我們增加了施工班的人力就是新招考的人力所以台電自由人力也增加現場的施作人力 這是第一點第二個 承攬商的部分也是面臨少子化的問題
transcript.whisperx[17].start 383.016
transcript.whisperx[17].end 400.066
transcript.whisperx[17].text 國內招工也不容易所以我們鼓勵承攬商在移工的部分也增加禁用人力所以在整個契約的規定方面放寬讓他們有辦法根據政府的規定多引進移工那這部分的成效目前看起來都不錯
transcript.whisperx[18].start 401.187
transcript.whisperx[18].end 425.585
transcript.whisperx[18].text 已經正在增加一千名左右的這個外籍移工所以我們現在人力的部分有慢慢在補足是是這很重要你工程那麼多人力不足還是一樣沒用啊所以這個拜託我們台電一定要注意第三個部分就是說在我們南科園區還有沙崙這個是牽扯到南科一二三再加上南科四好我們的電網韌性呢
transcript.whisperx[19].start 429.462
transcript.whisperx[19].end 458.162
transcript.whisperx[19].text 這個部分確實正在規劃一部分的工程在進行然後呢也有一部分已經正在進行中包括從興達我們會拉新的四條線路到南科這邊來就是強化這邊的就是電網直供讓這邊的電可以更充足所以在整體的電源的供應部分是沒有問題的那沙倫呢沙倫我們現在所有重鎮都在這裡包括AI包括機器人
transcript.whisperx[20].start 459.588
transcript.whisperx[20].end 481.97
transcript.whisperx[20].text 我們院長跟總統剛去接過派好這個部分我們也南科是未來要在沙崙這個電力也就是電網的韌性跟他的一個強度我們已經有做規劃了嗎是就是從清達拉到沙崙再拉到南科所以等於是沙崙會增加一個超高壓變電所我們再拜託把這樣的一個計畫
transcript.whisperx[21].start 483.778
transcript.whisperx[21].end 496.453
transcript.whisperx[21].text 讓我們辦公室知道齁然後再來就是說另外這個很重要的就是說各工業區現在都要求要去做太陽能光電可是虧線不足怎麼辦你叫他做你沒有虧線電引不出去啊那怎麼辦
transcript.whisperx[22].start 504.351
transcript.whisperx[22].end 524.845
transcript.whisperx[22].text 這個部分我們有積極在處理就是說如果有等待病亡的這種案件多的地方我們就會增加一些匱限來吸納這些太陽光電就以新籍工業區為例我們就新增加了兩條匱限那今年年底會把那55件的這個工程太陽光電病亡的工程給消化下去
transcript.whisperx[23].start 525.365
transcript.whisperx[23].end 536.75
transcript.whisperx[23].text 拜託 因為你叫人家裝色 結果你沒有虧線 那是白搭的根本就不用講啊你沒有虧線 那些都沒有辦法做所以這個要加速好 拜託 謝謝