iVOD / 168841

Field Value
IVOD_ID 168841
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168841
日期 2026-04-24
會議資料.會議代碼 院會-11-5-8
會議資料.會議代碼:str 第11屆第5會期第8次會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 8
會議資料.種類 院會
會議資料.標題 第11屆第5會期第8次會議
影片種類 Clip
開始時間 2026-04-24T15:46:10+08:00
結束時間 2026-04-24T16:02:11+08:00
影片長度 00:16:01
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6961fddac991000b711d3cb1efc32f65b5a46e9be1b9bc70bd39daa9258bbe72023078813c0ffac65ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鍾佳濱
委員發言時間 15:46:10 - 16:02:11
會議時間 2026-04-24T09:00:00+08:00
會議名稱 第11屆第5會期第8次會議(事由:一、對行政院院長提出施政方針及施政報告繼續質詢。二、同意權之行使事項:本院司法及法制、內政兩委員會報告審查「總統咨,為最高檢察署檢察總長邢泰釗任期於115年5月7日屆滿,茲依法院組織法第66條第2項規定,提名徐錫祥為最高檢察署檢察總長,咨請同意案」案。(5月5日上午)三、審計長列席報告中華民國113年度中央政府總決算審核報告等案審核經過並備諮詢。(5月5日下午)四、4月24日上午9時至10時為國是論壇時間。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 2.49471875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 3.15284375
transcript.pyannote[1].end 5.02596875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 24.28034375
transcript.pyannote[2].end 26.18721875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 26.60909375
transcript.pyannote[3].end 29.74784375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 30.03471875
transcript.pyannote[4].end 35.77221875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 35.77221875
transcript.pyannote[5].end 38.33721875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 36.09284375
transcript.pyannote[6].end 36.59909375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 48.58034375
transcript.pyannote[7].end 49.22159375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 49.52534375
transcript.pyannote[8].end 52.34346875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 52.51221875
transcript.pyannote[9].end 55.31346875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 55.66784375
transcript.pyannote[10].end 58.82346875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 59.00909375
transcript.pyannote[11].end 60.76409375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 61.03409375
transcript.pyannote[12].end 63.49784375
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 64.29096875
transcript.pyannote[13].end 68.71221875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 69.04971875
transcript.pyannote[14].end 71.81721875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 72.25596875
transcript.pyannote[15].end 74.85471875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 75.04034375
transcript.pyannote[16].end 77.55471875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 77.65596875
transcript.pyannote[17].end 79.52909375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 81.52034375
transcript.pyannote[18].end 150.89346875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 115.92846875
transcript.pyannote[19].end 116.97471875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 151.34909375
transcript.pyannote[20].end 153.42471875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 153.86346875
transcript.pyannote[21].end 170.06346875
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 170.21534375
transcript.pyannote[22].end 172.99971875
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 173.59034375
transcript.pyannote[23].end 176.47596875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 176.96534375
transcript.pyannote[24].end 183.22596875
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 183.76596875
transcript.pyannote[25].end 190.85346875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 191.25846875
transcript.pyannote[26].end 202.44659375
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 202.63221875
transcript.pyannote[27].end 215.27159375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 215.37284375
transcript.pyannote[28].end 217.16159375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 217.41471875
transcript.pyannote[29].end 243.03096875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 243.03096875
transcript.pyannote[30].end 245.62971875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 246.00096875
transcript.pyannote[31].end 264.29346875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 264.56346875
transcript.pyannote[32].end 278.29971875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 278.36721875
transcript.pyannote[33].end 284.44221875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 284.66159375
transcript.pyannote[34].end 292.74471875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 293.33534375
transcript.pyannote[35].end 304.79346875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 294.39846875
transcript.pyannote[36].end 294.68534375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 295.05659375
transcript.pyannote[37].end 295.24221875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 304.81034375
transcript.pyannote[38].end 308.67471875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 309.24846875
transcript.pyannote[39].end 310.73346875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 311.10471875
transcript.pyannote[40].end 319.13721875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 317.07846875
transcript.pyannote[41].end 317.75346875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 318.39471875
transcript.pyannote[42].end 319.17096875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 319.17096875
transcript.pyannote[43].end 319.98096875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 320.67284375
transcript.pyannote[44].end 325.27971875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 324.46971875
transcript.pyannote[45].end 324.97596875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 324.97596875
transcript.pyannote[46].end 324.99284375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 325.31346875
transcript.pyannote[47].end 343.70721875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 326.76471875
transcript.pyannote[48].end 326.78159375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 326.78159375
transcript.pyannote[49].end 326.84909375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 326.84909375
transcript.pyannote[50].end 327.96284375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 332.97471875
transcript.pyannote[51].end 333.66659375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 334.02096875
transcript.pyannote[52].end 335.11784375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 343.77471875
transcript.pyannote[53].end 353.46096875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 350.01846875
transcript.pyannote[54].end 350.03534375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 350.03534375
transcript.pyannote[55].end 351.11534375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 353.46096875
transcript.pyannote[56].end 353.52846875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 353.81534375
transcript.pyannote[57].end 353.83221875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 353.83221875
transcript.pyannote[58].end 353.84909375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 353.84909375
transcript.pyannote[59].end 353.96721875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 353.96721875
transcript.pyannote[60].end 368.83409375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 368.41221875
transcript.pyannote[61].end 375.36471875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 371.88846875
transcript.pyannote[62].end 372.24284375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 375.53346875
transcript.pyannote[63].end 378.87471875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 379.11096875
transcript.pyannote[64].end 380.54534375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 381.00096875
transcript.pyannote[65].end 381.43971875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 381.84471875
transcript.pyannote[66].end 386.04659375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 386.16471875
transcript.pyannote[67].end 392.98221875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 393.06659375
transcript.pyannote[68].end 395.51346875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 395.61471875
transcript.pyannote[69].end 397.16721875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 397.36971875
transcript.pyannote[70].end 398.88846875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 398.93909375
transcript.pyannote[71].end 401.33534375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 401.55471875
transcript.pyannote[72].end 403.93409375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 404.60909375
transcript.pyannote[73].end 404.72721875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 405.45284375
transcript.pyannote[74].end 408.37221875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 408.37221875
transcript.pyannote[75].end 408.74346875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 408.74346875
transcript.pyannote[76].end 410.00909375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 410.24534375
transcript.pyannote[77].end 412.10159375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 412.37159375
transcript.pyannote[78].end 413.23221875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 413.51909375
transcript.pyannote[79].end 416.32034375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 416.33721875
transcript.pyannote[80].end 417.67034375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 417.77159375
transcript.pyannote[81].end 419.15534375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 419.71221875
transcript.pyannote[82].end 423.13784375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 423.37409375
transcript.pyannote[83].end 426.10784375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 426.52971875
transcript.pyannote[84].end 428.95971875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 429.33096875
transcript.pyannote[85].end 430.20846875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 430.93409375
transcript.pyannote[86].end 432.06471875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 432.21659375
transcript.pyannote[87].end 433.85346875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 434.37659375
transcript.pyannote[88].end 437.16096875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 437.53221875
transcript.pyannote[89].end 440.97471875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 440.97471875
transcript.pyannote[90].end 447.80909375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 446.49284375
transcript.pyannote[91].end 455.62221875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 448.77096875
transcript.pyannote[92].end 449.07471875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 455.79096875
transcript.pyannote[93].end 456.92159375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 457.22534375
transcript.pyannote[94].end 458.77784375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 458.92971875
transcript.pyannote[95].end 466.81034375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 468.04221875
transcript.pyannote[96].end 468.71721875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 468.97034375
transcript.pyannote[97].end 473.91471875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 474.33659375
transcript.pyannote[98].end 482.26784375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 482.58846875
transcript.pyannote[99].end 483.83721875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 484.19159375
transcript.pyannote[100].end 485.87909375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 486.03096875
transcript.pyannote[101].end 490.46909375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 490.58721875
transcript.pyannote[102].end 491.17784375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 491.17784375
transcript.pyannote[103].end 493.52346875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 493.57409375
transcript.pyannote[104].end 496.51034375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 497.03346875
transcript.pyannote[105].end 499.29471875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 499.56471875
transcript.pyannote[106].end 501.55596875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 501.70784375
transcript.pyannote[107].end 503.09159375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 503.59784375
transcript.pyannote[108].end 505.82534375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 506.01096875
transcript.pyannote[109].end 507.27659375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 507.61409375
transcript.pyannote[110].end 508.01909375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 508.60971875
transcript.pyannote[111].end 511.93409375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 511.95096875
transcript.pyannote[112].end 518.41409375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 518.63346875
transcript.pyannote[113].end 524.05034375
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 524.26971875
transcript.pyannote[114].end 525.53534375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 525.92346875
transcript.pyannote[115].end 528.11721875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 528.11721875
transcript.pyannote[116].end 528.16784375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 528.45471875
transcript.pyannote[117].end 529.97346875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 529.97346875
transcript.pyannote[118].end 534.02346875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 534.02346875
transcript.pyannote[119].end 542.57909375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 542.76471875
transcript.pyannote[120].end 561.34409375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 561.51284375
transcript.pyannote[121].end 575.01284375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 575.35034375
transcript.pyannote[122].end 579.92346875
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 580.24409375
transcript.pyannote[123].end 580.95284375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 581.61096875
transcript.pyannote[124].end 582.33659375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 582.35346875
transcript.pyannote[125].end 587.28096875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 587.38221875
transcript.pyannote[126].end 590.25096875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 590.58846875
transcript.pyannote[127].end 592.15784375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 592.49534375
transcript.pyannote[128].end 605.80971875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 597.70971875
transcript.pyannote[129].end 599.56596875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 606.09659375
transcript.pyannote[130].end 610.07909375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 610.38284375
transcript.pyannote[131].end 612.50909375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 612.50909375
transcript.pyannote[132].end 612.52596875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 614.95596875
transcript.pyannote[133].end 614.97284375
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 614.97284375
transcript.pyannote[134].end 618.19596875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 618.36471875
transcript.pyannote[135].end 618.38159375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 618.38159375
transcript.pyannote[136].end 618.82034375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 619.30971875
transcript.pyannote[137].end 619.79909375
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 619.79909375
transcript.pyannote[138].end 619.81596875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 620.11971875
transcript.pyannote[139].end 631.29096875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 631.86471875
transcript.pyannote[140].end 635.83034375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 635.93159375
transcript.pyannote[141].end 637.48409375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 636.25221875
transcript.pyannote[142].end 640.03221875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 640.28534375
transcript.pyannote[143].end 654.54471875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 654.91596875
transcript.pyannote[144].end 671.06534375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 656.50221875
transcript.pyannote[145].end 656.95784375
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 656.95784375
transcript.pyannote[146].end 657.07596875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 657.07596875
transcript.pyannote[147].end 657.09284375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 657.09284375
transcript.pyannote[148].end 658.10534375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 658.10534375
transcript.pyannote[149].end 659.23596875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 662.88096875
transcript.pyannote[150].end 663.84284375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 666.12096875
transcript.pyannote[151].end 667.48784375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 671.67284375
transcript.pyannote[152].end 674.22096875
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 674.35596875
transcript.pyannote[153].end 676.02659375
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 676.46534375
transcript.pyannote[154].end 679.62096875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 679.97534375
transcript.pyannote[155].end 682.30409375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 682.45596875
transcript.pyannote[156].end 690.82596875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 691.58534375
transcript.pyannote[157].end 691.92284375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 692.17596875
transcript.pyannote[158].end 696.63096875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 697.08659375
transcript.pyannote[159].end 701.82846875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 702.41909375
transcript.pyannote[160].end 703.54971875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 703.88721875
transcript.pyannote[161].end 710.24909375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 710.63721875
transcript.pyannote[162].end 711.81846875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 712.39221875
transcript.pyannote[163].end 716.61096875
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 716.93159375
transcript.pyannote[164].end 719.39534375
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 719.64846875
transcript.pyannote[165].end 720.77909375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 720.84659375
transcript.pyannote[166].end 723.07409375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 723.09096875
transcript.pyannote[167].end 724.99784375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 725.74034375
transcript.pyannote[168].end 728.18721875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 728.84534375
transcript.pyannote[169].end 730.66784375
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 731.25846875
transcript.pyannote[170].end 731.88284375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 732.10221875
transcript.pyannote[171].end 733.53659375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 733.77284375
transcript.pyannote[172].end 734.75159375
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 734.93721875
transcript.pyannote[173].end 736.30409375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 736.57409375
transcript.pyannote[174].end 738.54846875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 739.29096875
transcript.pyannote[175].end 744.96096875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 745.41659375
transcript.pyannote[176].end 750.81659375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 751.03596875
transcript.pyannote[177].end 760.18221875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 760.41846875
transcript.pyannote[178].end 763.15221875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 763.32096875
transcript.pyannote[179].end 765.02534375
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 765.21096875
transcript.pyannote[180].end 769.31159375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 770.52659375
transcript.pyannote[181].end 773.14221875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 773.36159375
transcript.pyannote[182].end 780.51659375
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 780.56721875
transcript.pyannote[183].end 784.06034375
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 784.54971875
transcript.pyannote[184].end 801.84659375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 800.58096875
transcript.pyannote[185].end 808.03971875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 808.12409375
transcript.pyannote[186].end 813.40596875
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 813.72659375
transcript.pyannote[187].end 815.73471875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 815.97096875
transcript.pyannote[188].end 818.02971875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 821.32034375
transcript.pyannote[189].end 825.25221875
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 822.85596875
transcript.pyannote[190].end 827.93534375
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 828.37409375
transcript.pyannote[191].end 835.46159375
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 836.23784375
transcript.pyannote[192].end 845.48534375
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 845.73846875
transcript.pyannote[193].end 850.68284375
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 850.86846875
transcript.pyannote[194].end 856.87596875
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 856.96034375
transcript.pyannote[195].end 858.49596875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 858.88409375
transcript.pyannote[196].end 866.12346875
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 866.34284375
transcript.pyannote[197].end 867.42284375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 867.70971875
transcript.pyannote[198].end 871.16909375
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 871.35471875
transcript.pyannote[199].end 872.50221875
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 872.95784375
transcript.pyannote[200].end 875.43846875
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 875.65784375
transcript.pyannote[201].end 877.10909375
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 877.56471875
transcript.pyannote[202].end 882.76221875
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 883.01534375
transcript.pyannote[203].end 885.12471875
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 885.56346875
transcript.pyannote[204].end 887.53784375
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 887.60534375
transcript.pyannote[205].end 891.28409375
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 891.72284375
transcript.pyannote[206].end 892.41471875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 892.90409375
transcript.pyannote[207].end 893.66346875
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 893.66346875
transcript.pyannote[208].end 893.68034375
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 893.68034375
transcript.pyannote[209].end 893.71409375
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 893.71409375
transcript.pyannote[210].end 893.79846875
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 893.91659375
transcript.pyannote[211].end 894.03471875
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 894.03471875
transcript.pyannote[212].end 894.50721875
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 894.84471875
transcript.pyannote[213].end 907.63596875
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 905.86409375
transcript.pyannote[214].end 906.20159375
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 906.69096875
transcript.pyannote[215].end 916.42784375
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 916.64721875
transcript.pyannote[216].end 923.43096875
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 923.73471875
transcript.pyannote[217].end 933.57284375
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 926.18159375
transcript.pyannote[218].end 926.75534375
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 929.13471875
transcript.pyannote[219].end 929.50596875
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 934.48409375
transcript.pyannote[220].end 950.81909375
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 942.48284375
transcript.pyannote[221].end 943.10721875
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 951.22409375
transcript.pyannote[222].end 952.20284375
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 952.45596875
transcript.pyannote[223].end 955.18971875
transcript.pyannote[224].speaker SPEAKER_01
transcript.pyannote[224].start 960.58971875
transcript.pyannote[224].end 962.29409375
transcript.whisperx[0].start 0.109
transcript.whisperx[0].end 1.814
transcript.whisperx[0].text 接下來我們請鍾嘉斌委員質詢顏寬恆委員請準備
transcript.whisperx[1].start 24.555
transcript.whisperx[1].end 33.088
transcript.whisperx[1].text 主席、在黨委員先進、列席的政府機關事務官員、會長、工作夥伴、媒體記者、女士先生有請卓院長跟農業部陳部長跟我們經濟部的拱部長麻煩再請卓院長、農業部、經濟部備詢
transcript.whisperx[2].start 48.615
transcript.whisperx[2].end 62.611
transcript.whisperx[2].text 中國元好院長好兩位部長好我的標題很簡單業者足科檢查海關抽驗把關產地設冷庫結合儲能增任性發展新能源需設預化電網的配置來
transcript.whisperx[3].start 64.332
transcript.whisperx[3].end 78.914
transcript.whisperx[3].text 院長剛剛看到前面的翁委員在質詢,我覺得是很辛苦啦因為他一直要問陳部長,又不給陳部長講,來陳部長到底你了解的我們這個馬鈴薯進口,院長說要竹科檢驗,到底是什麼意思?送到新竹的竹科去檢驗嗎?
transcript.whisperx[4].start 82.833
transcript.whisperx[4].end 109.462
transcript.whisperx[4].text 謝謝委員給我這個機會能夠比較完整的說明第一個部分我要說明的就是確保我們農業產業的環境跟國人的健康是我們農業部跟衛生部共同的責任所以在邊境檢查上我們一定是用非常嚴格的標準甚至比國外的標準還高那針對有關於加工的馬鈴薯的部分我們是採用三階段由兩個部會就是來共同來做這樣的雙重把關
transcript.whisperx[5].start 110.202
transcript.whisperx[5].end 133.449
transcript.whisperx[5].text 那第一關就是在美國輸出前他第一個一定由美國的檢疫單位一定要確保沒有帶土沒有帶病沒有帶蟲然後沒有腐爛而且噴發芽抑制劑有這樣的一個檢查以後才能夠從美國同意他出關那到了台灣是我們第二關的部分是我們的海關邊境的一個檢查
transcript.whisperx[6].start 134.429
transcript.whisperx[6].end 150.487
transcript.whisperx[6].text 那在檢查的時候,農業部門我們負責的是它本身的芽體有沒有超過標準更重要的是它的病害跟蟲害有沒有帶有這樣的一個病害或蟲害如果有的話,病害有的話是整批直接退運
transcript.whisperx[7].start 151.388
transcript.whisperx[7].end 172.603
transcript.whisperx[7].text 那蟲害的話會經過薰針那有關於牙體的部分如果發現的時候我們就會通知衛護部那同樣的衛護部在抽檢有看到牙體也會通知農業部我們互相協同那有牙體的時候衛護部就會做切檢的檢驗如果檢驗出超標的時候也是退運
transcript.whisperx[8].start 173.664
transcript.whisperx[8].end 190.236
transcript.whisperx[8].text 所以在這樣的一個前提之下只剩下都是安全的只剩下牙體過長那在過長的過程中業者會看他實際情況如果太多的時候他可能會退運但是如果他想要做一些重新整理的話他提改善企劃書
transcript.whisperx[9].start 191.337
transcript.whisperx[9].end 214.257
transcript.whisperx[9].text 那改善計畫書就會選定它的指定地點那這些指定地點合乎我們的要求然後如果確定它可以重新選別的時候我們會把這個貨櫃封簽以後送到指定的加工廠然後由我們的檢疫人員監督之下開櫃然後由業者用書中袋去做選別那有的業者有自動選別系統
transcript.whisperx[10].start 215.558
transcript.whisperx[10].end 241.859
transcript.whisperx[10].text 就能夠快速的選別選別完了以後我們才會核發檢疫證明那檢疫合格證明他才能夠進到後端的實際的加工製造所以院長所提到的竹科檢查是指在我們的加工廠做選別的時候我們一定業者是一定是每一顆每一顆都要去看如果有不合格的部分如果再讓我們檢疫人員發現的話他就是退運了
transcript.whisperx[11].start 242.259
transcript.whisperx[11].end 262.448
transcript.whisperx[11].text 好部長你花了三分鐘我一張圖就講完了啦如果說你以為的竹科檢驗是把一顆貨櫃裡面一萬顆馬鈴薯一顆一顆挑出來看嗎不是啦世界上沒有人這樣做的啦我們台灣的鳳梨台灣的芒果要輸出到日本也是一個貨櫃裡面挑幾件出來看
transcript.whisperx[12].start 265.306
transcript.whisperx[12].end 292.567
transcript.whisperx[12].text 有沒有借殼蟲對不對但是呢我們做好事如果你是工業用冷凍的不會有發芽的問題剩下兩成零售的整顆的那麼我們就會做什麼先抽驗抽驗如果不合格就請業者帶回去那他自己把一顆一顆把不合格的挑走你他覺得都合格了你送來我再抽驗一次補考補考再考一次通過就通過不通過全部推是不是這樣子
transcript.whisperx[13].start 293.388
transcript.whisperx[13].end 317.502
transcript.whisperx[13].text 院長在哪裏不用檢查是不是給你一個補考的機會不是海關一顆一顆院是業者如果他覺得我只是有些被你抽到了可能沒有那麼壞我把fire的挑走我整顆轉箱再來一樣都是合格的才會進來嘛結束好好謝謝這個業者這個行為因為他也在海關的後續行為是屬於我們這個邊境檢驗對啦第二句話
transcript.whisperx[14].start 320.677
transcript.whisperx[14].end 338.644
transcript.whisperx[14].text 不管是部長的三分鐘還是委員的一分鐘都在昨天專報裡面的兩頁兩頁都寫得很清楚我這個不用兩頁剛剛委員他沒有看不想看看不懂不會問就用這種叫罵的方式我這一張齁授權給院長跟部長可以拿去用啦一張圖就解決了來再問一下部長齁
transcript.whisperx[15].start 339.284
transcript.whisperx[15].end 361.527
transcript.whisperx[15].text 院長我們最近好不容易不再是口蹄疫的疫區有沒有覺得很振奮感謝所有養豬農跟國人一起的努力也謝謝農業部去做政策上很好的宣導但是現在對岸又發生口蹄疫了怎麼辦陳部長我想我們現在目前邊境的把關不只是非洲豬瘟包括口蹄疫的部分我們也做嚴格的把關
transcript.whisperx[16].start 362.208
transcript.whisperx[16].end 378.73
transcript.whisperx[16].text 那相關的這些高風險的疫區的部分我們一定在行李上面一定是百分之百的同意而且你還到我們屏東有養豬的地方去做講習對不對好謝謝這樣有準備就好來我要關心的是什麼關心的是外銷鳳梨黑心的事情不是黑心鳳梨
transcript.whisperx[17].start 379.43
transcript.whisperx[17].end 403.53
transcript.whisperx[17].text 鳳梨為什麼黑心?部長,除了濃度的差異造成的一個黑心很好,但是外銷的鳳梨一定要冷藏嘛所以很多傳統的果農,它的鳳梨如果沒有適當的降溫我們外銷業者送到消費地,到日本,啪啪黑心了還問鳳梨名聲很好,啪啪下去但是傳統市場會不會買到黑心的鳳梨?
transcript.whisperx[18].start 405.772
transcript.whisperx[18].end 418.979
transcript.whisperx[18].text 因為傳統市場的鳳梨沒有經過什麼降溫但是有一種情況為什麼我們那麼小心做了冷庫鳳梨還是會到日本還是會到黑心呢有人找出一個原因了用太多蛋肥
transcript.whisperx[19].start 419.878
transcript.whisperx[19].end 439.922
transcript.whisperx[19].text 為什麼用那一堆蛋肥經過適當的冷存,還是會後生呢?因為農民為了個頭比較大顆,最後收成前他會下比較重的蛋肥,蛋肥下得重,鳳梨長得大顆,在傳統市場賣相好。但是如果經過了長期的運輸到日本,那個就會產生黑心,柏中你知不知道這個事情?
transcript.whisperx[20].start 440.482
transcript.whisperx[20].end 466.588
transcript.whisperx[20].text 不過我想要跟委員澄清喔,您說的黑心的部分是在第110年的時候我們首次大規模的舒服到現在已經沒有這個問題了黑心的問題不是冷鏈問題有的時候是因為你把內需內銷的傳統市場的這些產品經過冷鏈送到外銷所以現在我要講一件事情讓部長,讓院長知道我們在屏東下一頁,我們的國際化的標專廠是不是明年要開始啟用
transcript.whisperx[21].start 468.086
transcript.whisperx[21].end 496.094
transcript.whisperx[21].text 在屏東這個就是呢當時設置就是要讓我們屏東的國品可以外銷的它很大那這個經營者他其實怎麼樣他是做品牌包裝因此他做品牌包裝他要求農民既然你這個鳳梨要外銷你不要求大顆你不要給我下那麼多的蛋肥這樣子我的冷庫才能確保送出的鳳梨不會黑心院長是不是這樣子所以呢要搭配好往下看但是這麼大的冷庫需要每個縣市都有嗎
transcript.whisperx[22].start 497.062
transcript.whisperx[22].end 525.093
transcript.whisperx[22].text 不需要 因為大型的冷庫不好經營他要跨區域 跨品項 還要跨內外銷我們屏東那麼多包罩的國品我們的產季也不到半年另外半年那個冷庫不能閒置所以他閒置的時候沒有外銷的時候當然他做內銷 內銷給誰給全聯 給家樂福他們的國品也是需要冷鏈的所以大型的集中的冷庫不用多但是院長部長
transcript.whisperx[23].start 526.153
transcript.whisperx[23].end 548.26
transcript.whisperx[23].text 還有沒有出到冷庫在計畫當中產地型的冷鏈系統這是我們在建構整個冷鏈網絡裡面一個非常重要的是產地型的冷鏈它最大的收益者就是農民因為農民只要有產地的冷鏈只要是小型的它可以解決田間樂它可以讓產品可以在傳統市場它可以讓運輸本來5天它可以放到10天
transcript.whisperx[24].start 548.88
transcript.whisperx[24].end 560.331
transcript.whisperx[24].text 我們的芋圓,我們屏東各地的芋圓,沒有太多芋圓,芋圓都不會那麼漂亮,但是如果五天煩惱沒收到,你就滅掉所以說風修的時候,煩惱就等你下去,如果這個介紹不太好,你放三天你就撞不掉,所以院長知道齁
transcript.whisperx[25].start 566.337
transcript.whisperx[25].end 580.722
transcript.whisperx[25].text 所以產地的冷庫對農民很重要但是產地的冷庫他沒有辦法跨品項他沒有辦法跨區域他甚至不能跨內外交他要跨什麼平常有生產季的時候兩個月四個月農用平常怎樣商用
transcript.whisperx[26].start 581.77
transcript.whisperx[26].end 604.858
transcript.whisperx[26].text 讓人家長期負擔、升遷期負擔、做團善的讓他拿來放但是如果讓人家拿來放做商用,你不能斷電那如果預防斷電,陳部長,冷庫如果預防斷電,斷電會壞掉啊?要用什麼?要用備援嗎?你是認為用發電機備援比較好還是用儲能?儲能設備儲能,但是儲能很貴,多數農民的斷電系統就是柴油發電機
transcript.whisperx[27].start 606.178
transcript.whisperx[27].end 629.232
transcript.whisperx[27].text 那現在如果我們要廣設這些產地型的冷庫,可不可以把儲能列為它的附屬設施?以我個人的判斷應該是可行的一個方式應該是可行的,部長,滾部長,如果儲能業者他除了做冷庫的不氮電設施,他也可以兼做當地區域的光電的儲能來調節電網,你覺得有沒有幫助我們電網的韌性?
transcript.whisperx[28].start 632.054
transcript.whisperx[28].end 653.997
transcript.whisperx[28].text 是有幫助啊 是的他如果參與我們那個蓄量對 院長請指示經濟部跟農業部就我們農地設的冷庫它所附設的儲能是不是可以同時間做我們電網當中調節韌性的儲能好不好農業設施包括這個冷卻設施它已經附屬是可以發展這個光電
transcript.whisperx[29].start 655.178
transcript.whisperx[29].end 670.236
transcript.whisperx[29].text 已經可以發展光電如果加上光電的儲藏只能用在頭頂上的它不能用別人的它加上儲能的話會更好好 那就是院長的意思那兩位部長可以回去研究一下好不好我們會來仔細的規劃來再往下看所以現在我們往下說電網
transcript.whisperx[30].start 671.701
transcript.whisperx[30].end 689.048
transcript.whisperx[30].text 院長過去我們的台電它的電網是它做發電端也是它做大概只有兩位數的發電廠用戶端上百萬上千萬它的電網的膚色就要配合的都市計畫暴露所以過去台電它的用電戶的電網很順
transcript.whisperx[31].start 692.277
transcript.whisperx[31].end 711.271
transcript.whisperx[31].text 路開到哪裡?住宅區、工業區、商業區開到哪裡?它電就送到哪裡?那這個電網設施包括什麼?一次變電所、二次變電所、配電所還有匯線但是現在發電的地方現在不是只有二位數、兩位數的電廠現在很多光電廠都在哪裡?不在都市計劃區域
transcript.whisperx[32].start 712.712
transcript.whisperx[32].end 738.168
transcript.whisperx[32].text 這些電廠台電還要用電網去把他的電接過來所以台電就沒有辦法按照道路規劃他坐餐廳沒幾條路啊電網要怎麼設往往設的潰線設的深壓站光電者就開始搶那個配線的容量院長知道齁那怎麼解決怎麼解決解決的方式就是怎樣他有些弊端就是先唱先贏先唱先贏造成很多的浪費
transcript.whisperx[33].start 739.329
transcript.whisperx[33].end 762.953
transcript.whisperx[33].text 光電的開發商,他可能為了要搶得虧線,他要先到台電去放保證金如果時間到,他沒有辦法整合,他就要讓給第二名,然後他的保證就沒收了那第三名沒有拿到虧線的,明明整合好了,沒有虧線他也沒有辦法發電所以可不可以請院長指示部長,台電可不可以先去預化往下看就是說這個虧線容量的搶奪往下看
transcript.whisperx[34].start 763.473
transcript.whisperx[34].end 769.129
transcript.whisperx[34].text 就是能夠超前部署,這樣的話我們土地開發井然有序,公共設施按時到位
transcript.whisperx[35].start 770.56
transcript.whisperx[35].end 794.856
transcript.whisperx[35].text 部長,我剛剛跟你提過,您覺得台電是不是要為了未來的電網的韌性,我們對於發電端的電網的配置要及早做規劃,讓這些發電業者可以有所遵循,部長覺得怎麼樣?我們嘗試的來努力看看,至少從某一個區域先開始因為這個範圍實在是太大了,就是說這些光電業者
transcript.whisperx[36].start 795.697
transcript.whisperx[36].end 816.353
transcript.whisperx[36].text 他什麼時候會在哪裡開發,然後開發跟地主談的怎麼樣部長我知道,你講的我都想過,這個業者要去想腦筋,但是可以開發各種不同的發電方式的都很有限啦現在哪裡開可以發都有限都算得出來,往下看我先考一下我們的孔部長,燃料電池儲能跟水利,它是屬於發電裝置還是電網裝置
transcript.whisperx[37].start 821.34
transcript.whisperx[37].end 826.005
transcript.whisperx[37].text 除能本身它根本不會發電,它是屬於電網裝置但是水力發電過去認為是發電裝置但是它現在的抽蓄水力發電開始調節電網,它也可以設為電網裝置對不對
transcript.whisperx[38].start 836.297
transcript.whisperx[38].end 863.357
transcript.whisperx[38].text 我們現在的燃料電池,燃料電池是什麼?燃料電池是用LNG去的只是它不是透過燃燒,它透過化學反應來產生電力它是發電裝置,它也可以成為什麼?儲能裝置,就是成為電網裝置好,那往下看所以我們能源轉型2.0,電網韌性很重要我們在發展自主能源有光電、風電跟地熱我們的這個兼具電網跟發電的水力或燃料電池未來會起一具的發展
transcript.whisperx[39].start 863.777
transcript.whisperx[39].end 889.596
transcript.whisperx[39].text 那至於氫能跟儲能也要事先配置但是我們知道現在燃料電池它發的單價很貴可是它有一個好處它在目前的都市計畫裡面它比儲能還容易找到位置放所以我們可能不知道未來在都會地區我可能不見得能夠放儲能但是我可以放什麼我可以放燃料電池那燃料電池它既然可以發電是不是可以列入台電的電網跟發電裝置的設備當中
transcript.whisperx[40].start 892.978
transcript.whisperx[40].end 915.152
transcript.whisperx[40].text 是可以參與嘛 對不對因為他這個是表後的那我們現在是有一個他設置裝備的時候我們是有補助金額然後每一度事實上也有一些補助讓他覺得部長我知道你是講現在的辦法我現在要求的是你規劃未來新能源不要等到開始做了才發現法規沒有準備好
transcript.whisperx[41].start 915.492
transcript.whisperx[41].end 933.302
transcript.whisperx[41].text 我可以跟你預告未來很多傳統都市地區不能設置發電廠的它都能設置燃料電池但它需要天然氣管那如果你天然氣管沒有裝它就不能發這樣會造成我們電網跟發電裝置的不匹配所以我希望說未來往下看就是說不要再說我這個地方
transcript.whisperx[42].start 934.863
transcript.whisperx[42].end 962.101
transcript.whisperx[42].text 電網沒有設置連天然氣管也沒有設置那未來有人設的燃料電池他想成為供電跟台電來合作也做不到你瞭解嗎所以最後的結論最後結論時間的關係第一請農業部檢討法令同意農地上冷庫的負能設施剛剛答應了請經濟部檢討法令冷庫附屬的負能設施得參與台電的設電以最後有研發跟報告報告我就不講了特別是一個月請書面報告來 謝謝謝謝 麻煩請行政院